2016
-To analyse CMS data collected in 2016, you need version 10.6.30 of CMSSW, supported on Scientific Linux 7. Once you have installed the CMS open data container or the CMS-specific CERN Virtual Machine (VM), you need to open a terminal. +To analyse CMS data collected in 2016, you need version 10.6.30 of CMSSW, supported on Scientific Linux 7. Once you have installed the CMS open data container or the CMS-specific CERN Virtual Machine (VM), you need to open a terminal.
If you are using the VM, always use the "CMS shell" terminal available from the "CMS Shell" icon on the desktop for all CMSSW-specific commands, such as compilation and run. In the VM, execute the following command in the terminal if you haven't done so before; it ensures that you have this version of CMSSW running: diff --git a/cernopendata/modules/fixtures/data/docs/cms-guide-docker/cms-guide-docker.md b/cernopendata/modules/fixtures/data/docs/cms-guide-docker/cms-guide-docker.md index 54466c9bb5..cd240ec76d 100644 --- a/cernopendata/modules/fixtures/data/docs/cms-guide-docker/cms-guide-docker.md +++ b/cernopendata/modules/fixtures/data/docs/cms-guide-docker/cms-guide-docker.md @@ -1,15 +1,18 @@ 1. [Introduction](#intro) +2. [Available general-purpose container images](#nanoaod) 2. [Available CMSSW container images](#images) -3. [Fetch a CMSSW image and start a container](#fetch-start) +3. [Fetch an image and start a container](#fetch-start) 4. [Useful commands](#commands) 1. [Exiting and restarting a container](#exit-start) - 2. [Copying files](#cp) - 3. [Execute a command in a running container](#exec) - 4. [Removing a container](#rm) + 2. [Removing a container](#rm) + 3. [Copying files](#cp) + 4. [Mounting a local file area](#mount) + 5. [Execute a command in a running container](#exec) 5. [Graphics](#graphics) 1. [VNC](#vnc) 2. [X11 forwarding on Linux](#x11) 3. [Test graphics](#test-graphics) + 4. [Launching Jupyter in the Python container](#jupyter) 6. [Container prompt](#prompt) 7. [Install and run CMS example code](#get-started) 8. [Running CMS open data containers on WSL2](#on-wsl2) @@ -19,11 +22,44 @@ You can run CMS analysis code in a [Docker](https://www.docker.com/) container provided together with the CMS open data. If you have not already installed Docker, instructions for installation are [provided by Docker](https://docs.docker.com/install/). For an introduction and for getting started, you can follow the links provided in [the CMS Open data guide](https://cms-opendata-guide.web.cern.ch/tools/docker/). +## Available general-purpose container images + +The quickest way to get started analyzing CMS open data is to consider data in the NanoAOD format, either [derived data from +Run 1](https://opendata.cern.ch/search?q=&f=experiment%3ACMS&f=type%3ADataset%2Bsubtype%3ADerived&l=list&order=desc&p=1&s=10&sort=mostrecent) or [NanoAOD from Run 2](https://opendata.cern.ch/search?q=&f=experiment%3ACMS&f=file_type%3Ananoaod&f=file_type%3Ananoaodsim). These file formats can be analyzed using ROOT and python tools. The container images linked +here contain the packages required to access open data files over the network. + +**ROOT container**: this image contains ROOT 6 coupled with Python 3 and a VNC server for access to the graphical user interface. + +**Python container**: this images contains Python 3 with a HEP software stack and a VNC server for access to the graphical user interface. HEP-related python packages in this image include `awkward`, `uproot`, `numpy`, `matplotlib`, and `jupyterlab`. + +| Software |
+ Container image (dockerhub) | +Alternative image location (GitLab) | +
|---|---|---|
| ROOT | +cmscloud/root-vnc | +gitlab-registry.cern.ch/cms-cloud/root-vnc:latest | +
| Python | +cmscloud/python-vnc | +gitlab-registry.cern.ch/cms-cloud/python-vnc:latest | +
| Collisions | +Energy (TeV) | +Simulation | +Getting Started | +CMSSW version | +
|---|---|---|---|---|
| proton-proton 2010 | +7 | +2010 simulation | +AOD data | +CMSSW_4_2_8 | +
| proton-proton 2011 | +7 | +2011 simulation | +AOD data | +CMSSW_5_3_32 | +
| proton-proton 2012 | +8 | +2012 simulation | +AOD data | +CMSSW_5_3_32 | +
| proton-proton 2015 | +13 | +2015 simulation | +MiniAOD data | +CMSSW_7_6_7 | +
| proton-proton 2016 | +13 | +2016 simulation | +MiniAOD data NanoAOD data |
+ CMSSW_10_6_30 Not required |
+
| Collisions | +Energy (TeV) | +Simulation | +Getting Started | +CMSSW version | +
|---|---|---|---|---|
| lead-lead 2010 | +2.76 | +2010-2011 Pb-Pb simulation | +Pb-Pb 2010 | +CMSSW_3_9_2_patch5\* | +
| lead-lead 2011 | +2.76 | +2010-2011 Pb-Pb simulation | +Pb-Pb 2011 | +CMSSW_4_4_7\* | +
| proton-proton 2011 | +2.76 | +N/A | +Pb-Pb 2011 | +CMSSW_4_4_7 | +
| proton-proton 2013 | +2.76 | +2013 p-p simulation | +p-Pb data | +CMSSW_5_3_20 | +
| proton-lead 2013 | +5.02 | +2013 p-Pb simulation | +p-Pb data | +CMSSW_5_3_20 | +
| proton-proton 2015 | +5.02 | +N/A | +p-Pb data | +CMSSW_7_5_8_patch3 | +
-
-### 2012
+**2012**
-For the 2012 data, the distribution shown here was used to generate the Monte Carlo events. On the Twiki page referenced above, this is the S10 distribution. Unlike 2011, this distribution is not an exact match to the data, so reweighting of the Monte Carlo samples is required in order to obtain good agreement.
-Pileup distribution used to generate the 2012 Monte Carlo samples:
+For the 2012 data, the distribution shown here was used to generate the Monte Carlo events. On the webpage referenced above, this is the S10 distribution. Unlike 2011, this distribution is not an exact match to the data, so reweighting of the Monte Carlo samples is required in order to obtain good agreement.
-
-### 2015
+**2015**
For the 2015 data, the distribution measured from the [2012 collision data](https://twiki.cern.ch/twiki/bin/view/CMSPublic/LumiPublicResults#2012_proton_proton_8_TeV_collisi), scaled by 4/5 to correspond to the estimated mean number of interactions per crossing in 2015, was used to generated the Monte Carlo events.
-## Disclaimer
+**2016**
+
+For the 2016 data, the distribution shown here was used to generate the Monte Carlo events. This distribution is not an exact match to the data, so reweighting of the Monte Carlo samples is required in order to obtain good agreement.
+
+
+
+ +Higher-order top quark cross sections are available from the LHC Physics Working Group for all LHC energies: + +- Top quark pair production at [NNLO](https://twiki.cern.ch/twiki/bin/view/LHCPhysics/TtbarNNLO) +- Single top quark production at [NLO](https://twiki.cern.ch/twiki/bin/view/LHCPhysics/SingleTopRefXsec) and at [NNLO](https://twiki.cern.ch/twiki/bin/view/LHCPhysics/SingleTopNNLORef)
+ +### 7 TeV + +
| Process |
+ Generator/Source |
+ Phase space cuts |
+ Order |
+ Final state |
+ Cross section (pb) |
+ Uncertainty (pb): Scale unc. (PDF unc.) |
+ |
|---|---|---|---|---|---|---|---|
| W+ | FEWZ | -- | NNLO | W->lv, l=e,m,t | 18456 | ±233 (±850) | |
| W- | FEWZ | -- | NNLO | W->lv, l=e,m,t | 12858 | ±174 (±654) | |
| Total W | FEWZ | -- | NNLO | W->lv, l=e,m,t | 31314 | ±407 (±1504) | |
| Z/a* (20) | FEWZ | m(ll)>20GeV | NNLO | Z -> ll | 4998 | ±34 (±270) | |
| Z/a* (50) | FEWZ | m(ll)>50GeV | NNLO | Z -> ll | 3048 | ±34 (±128) | |
| Z/a* (60-120) | FEWZ | 60 < m(ll) < 120 GeV | NNLO | Z -> ll | 2916 | ±34 (±122) | |
| W+cbar | MCFM | -- | NLO | Inclusive | 1718 | ±157 | |
| W-c | MCFM | -- | NLO | Inclusive | 1910 | ±164 | |
| Total Wc | MCFM | -- | NLO | Inclusive | 3628 | ±227 | |
| W+b bbar | MCFM | -- | LO | Inclusive | 22.1 | ±4.4 | |
| W-b bbar | MCFM | -- | LO | Inclusive | 13.2 | ±2.5 | |
| Total Wb bbar | MCFM | -- | LO | Inclusive | 35.3 | ±5.1 | |
| Z/a*b bbar | MCFM | m(ll) > 20 GeV | LO | Inclusive | 67.3 | ±18.8 | |
| W+W- | MCFM | -- | NLO | Inclusive | 43 | ±1.5 | |
| W+Z/a* | MCFM | m(ll) > 40 GeV | NLO | Inclusive | 11.8 | ±0.6 | |
| W-Z/a* | MCFM | m(ll) > 40 GeV | NLO | Inclusive | 6.4 | ±0.4 | |
| Total WZ/a* | MCFM | m(ll) > 40 GeV | NLO | Inclusive | 18.2 | ±0.7 | |
| Z/a* Z/a* | MCFM | m(ll) > 40 GeV | NLO | Inclusive | 5.9 | ±0.15 | |
| ttbarW | -- | -- | NLO | Inclusive | 0.1473 | ±0.0155 | |
| ttbarZ | -- | -- | NLO | Inclusive | 0.1369 | ±0.029 | + |
| Process |
+ Generator/Source |
+ Phase space cuts |
+ Order |
+ Final state |
+ Cross section (pb) |
+ Uncertainty (pb): Scale unc. (PDF unc.) |
+
|---|---|---|---|---|---|---|
| W+ | FEWZ 3.1 | -- | NNLO | W->μν | 7213.4 | +45.3 -21.3 (±241.3) |
| W- | FEWZ 3.1 | -- | NNLO | W->μν | 5074.7 | +33.8 -18.3 (±188.3) |
| Total W | FEWZ 3.1 | -- | NNLO | W->μν | 12234.4 | +79.0 -39.7 (±414.7) |
| Z/a*(20) | FEWZ 3.1 | m(ll)>20 GeV | NNLO | Z -> μμ | 1966.7 | +19.8 -13.7 (±87.7) |
| Z/a* (50) | FEWZ 3.1 | m(ll)>50 GeV | NNLO | Z -> μμ | 1177.3 | +5.9 -3.6 (±38.8) |
| Z/a* (60-120) | FEWZ 3.1 | 60 < m(ll) < 120 GeV | NNLO | Z -> μμ | 1129.2 | +5.5 -2.6 (±37.5) |
| W+cbar | MCFM | -- | NLO | Inclusive | 2423.5 | |
| W+cbar | MCFM | -- | NLO | Inclusive | 2624.6 | |
| Total Wc | MCFM | -- | NLO | Inclusive | 5048.1 | |
| Total Wb bbar | aMC@NLO | -- | NLO | Inclusive | 377.4 | +19.5% -16.8% |
| Z/a*b bbar | MCFM | m(ll) > 50 GeV | LO | Inclusive | 76.75 | |
| Total WZ/a* | MCFM | m(ll) > 12 GeV | NLO | Inclusive | 33.21 (CTEQ) 33.85 (MSTW) 33.72 (NNPDF) | |
| ttbarW | MCFM | -- | NLO | Inclusive | 0.232 | ±0.067 (±0.03) |
| ttbarZ | NLO | -- | NLO | Inclusive | 0.2057 | +0.019 -0.024 |
| tqZ; q!=b | aMC@NLO | m(ll) > 50 GeV | NLO | Z->leptons | 0.02450 | +3.3% -2.6% |
| tbZ | aMC@NLO | m(ll) > 50 GeV | NLO | Z->leptons | 0.0114 | +3.3% -2.6% |
| WWW | aMC@NLO | -- | NLO | Inclusive | 8.058e-02 | +4.7% -3.9% |
| WWZ | aMC@NLO | -- | NLO | Inclusive | 5.795e-02 | +5.6% -4.6% |
| WZZ | aMC@NLO | -- | NLO | Inclusive | 1.968e-02 | +6.0% -4.9% |
| ZZZ | aMC@NLO | -- | NLO | Inclusive | 5.527e-03 | +2.7% -2.4% |
| tttt | aMC@NLO | -- | NLO | Inclusive | 9.144e-04 | +36.3%, -27.0% |
| W+ W- | MCFM 6.6 | 0 | NLO | W->eν W->eν | 0.6472 | ±0.0231 (±0.0266) |
| W+ Z/a* | MCFM 6.6 | m(l+l-) > 12 GeV | NLO | W->μν Z->ee | 0.0748 | ±0.0025 (±0.0029) |
| W+ Z/a* | MCFM 6.6 | m(l+l-) > 40 GeV | NLO | W->μν Z->ee | 0.0535 | ±0.0018 (±0.0028) |
| W- Z/a* | MCFM 6.6 | m(l+l-) > 12 GeV | NLO | W->μν Z->ee | 0.0446 | ±0.0021 (±0.0018) |
| W- Z/a* | MCFM 6.6 | m(l+l-) > 40 GeV | NLO | W->μν Z->ee | 0.0305 | ±0.0014 (±0.0014) |
| Z/a* Z/a* | MCFM 6.6 | both dileptonic m(l+l-) > 12 GeV | NLO | Z->μμ Z->ee | 0.0385 | ±0.0011 (±0.0011) |
| Z/a* Z/a* | MCFM 6.6 | both dileptonic m(l+l-) > 40 GeV | NLO | Z->μμ Z->ee | 0.0185 | ±0.0007 (±0.0007) |
| Z/a* Z | MCFM 6.6 | m(l+l- from Z/a*) > 12 GeV | NLO | Z->ee Z->νν | 0.1318 | ±0.0040 (±0.0067) |
| Z Z | MCFM 6.6 | both dileptonic m(l+l-) > 1 GeV | NLO | Z->ee Z->μμ | 0.0173 | ±0.0067 (±0.0007) |
+ +## Run 2 + +### Calculate cross sections using GenXSecAnalyzer + +For Run2, the [GenXSecAnalyzer tool](https://github.com/cms-sw/cmssw/blob/CMSSW_7_6_X/GeneratorInterface/Core/plugins/GenXSecAnalyzer.cc) is available to compute cross section from an existing MC sample in [MiniAOD format](/docs/cms-getting-started-miniaod). It retrieves information from collections called [GenLumiInfoProduct](https://github.com/cms-sw/cmssw/blob/CMSSW_7_6_X/SimDataFormats/GeneratorProducts/interface/GenLumiInfoProduct.h) and [GenFilterInfo](https://github.com/cms-sw/cmssw/blob/CMSSW_7_6_X/SimDataFormats/GeneratorProducts/interface/GenFilterInfo.h) to compute averaged cross sections over all the input luminosity blocks. + +**Many SM simulations corresponding to Run 2 data have the output of this analyzer available on the record page.** + +The following instructions show how to compute a cross section from a MiniAOD sample. This example is given for a 2015 +MiniAOD dataset using CMSSW_7_6_7, but the commands can be adapted for later MiniAOD samples by using the corresponding +CMSSW release and updating the input file or dataset names. + +Setup the CMS environment by following the [instructions for MiniAOD](/docs/cms-getting-started-miniaod). + +Inside the `CMSSW_7_6_7/src` directory, fetch a configuration file for the `GenXSecAnalyzer`: +``` +curl https://raw.githubusercontent.com/cms-sw/genproductions/master/Utilities/calculateXSectionAndFilterEfficiency/genXsec_cfg.py -o genXSecAnalyzer_cfg.py +``` + +Examine the configuration file with your preferred editor. Within the configuration file, the `maxEvents` setting +controls the maximum number of events passed to the GenXSecAnalyzer. Set it to `-1` if you would like to use all the events: +``` +process.maxEvents = cms.untracked.PSet( + input = cms.untracked.int32(options.maxEvents) +) +``` + +The `source` setting specifies the names of the root files to be used: +``` +process.source = cms.Source ("PoolSource", + fileNames = cms.untracked.vstring(options.inputFiles), + secondaryFileNames = secFiles +) +``` + +You may specify `inputFiles` and `maxEvents` and run the script in command line: +``` +cmsRun genXSecAnalyzer_cfg.py inputFiles="file:root://eospublic.cern.ch//eos/opendata/cms/mc/RunIIFall15MiniAODv2/QCDJets_flat_pythia_shifted15mmvertex/MINIAODSIM/PU25nsData2015v1_Shifted15mmCollision2015_76X_mcRun2_asymptotic_v12-v1/60000/00D4D020-59B8-E511-8D6D-A0000420FE80.root" maxEvents=10 +``` + +Here we use a root file from 2015 QCD MC sample and set the maximum number of events to 10. +The printout should look like this: +``` +------------------------------------ +GenXsecAnalyzer: +------------------------------------ +Before Filtrer: total cross section = 1.887e+09 +- 7.281e+07 pb +Filter efficiency (taking into account weights)= (3.38384) / (3.38384) = 1.000e+00 +- 0.000e+00 +Filter efficiency (event-level)= (200) / (200) = 1.000e+00 +- 0.000e+00 +After filter: final cross section = 1.887e+09 +- 7.281e+07 pb + +============================================= +``` + +Depending on the type of simulation, the analyzer will present different information. The most common values are: +* Before matching: the cross section before jet matching and any filter. +* After matching: the cross section after jet matching BUT before any filter. +* Filter efficiency: the efficiency of any filter. +* After filter: the cross section after jet matching and additional filters are applied. This is your final cross section. + +To compute the cross section of *QCDuubar_Pt-15to3000_TuneZ2star_Flat_13TeV_pythia6* for 2015 data using **all the files** in this sample, find the link to the filelist on this dataset's [record](https://opendata.cern.ch/record/18392). + +In `CMSSW_7_6_7/src` (or `CMSSW_10_6_30/src` for 2016 datasets), download the filelist using its URL: +``` +curl https://opendata.cern.ch/record/18392/files/CMS_mc_RunIIFall15MiniAODv2_QCDuubar_Pt-15to3000_TuneZ2star_Flat_13TeV_pythia6_MINIAODSIM_PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1_60000_file_index.txt -o filelist.txt +``` + +Create a python script `compute_xsec.py` with the following code that will read the file list and provide all the files +as an argument to the analyzer: +``` +import os + +# parameters to EDIT +inputFilelist = "filelist.txt" +maxEvents = "10" # You may increase maxEvents for a better estimation (e.g. set to -1) +outfileName = "xsec_QCDuubar_Pt-15to3000.log" + +# get inputFiles +filelist = open(inputFilelist, 'r').readlines() +inputFiles = "" +for rootfile in filelist: + if('root' in rootfile): + inputFiles += ' inputFiles='+rootfile + ' ' + +# compute cross section +command = 'cmsRun genXSecAnalyzer_cfg.py {} maxEvents={} 2>&1 | tee {}'.format(inputFiles, maxEvents, outfileName) +os.system(command) +``` + +In the CMS environment (make sure you have executed `cmsenv` if using a VM), run: +``` +python compute_xsec.py +``` + +### 13 TeV higher-order cross sections + +Higher order top quark cross sections are available from the LHC Physics Working Group for all LHC energies: + +- Top quark pair production at [NNLO](https://twiki.cern.ch/twiki/bin/view/LHCPhysics/TtbarNNLO) +- Single top quark production at [NLO](https://twiki.cern.ch/twiki/bin/view/LHCPhysics/SingleTopRefXsec) and at [NNLO](https://twiki.cern.ch/twiki/bin/view/LHCPhysics/SingleTopNNLORef)
+ +A table of further higher-order cross sections for other processes will be added when available. + diff --git a/cernopendata/modules/fixtures/data/docs/cms-virtual-machine-cc7/cms-virtual-machine-cc7.json b/cernopendata/modules/fixtures/data/docs/cms-virtual-machine-cc7/cms-virtual-machine-cc7.json new file mode 100644 index 0000000000..edc34dc602 --- /dev/null +++ b/cernopendata/modules/fixtures/data/docs/cms-virtual-machine-cc7/cms-virtual-machine-cc7.json @@ -0,0 +1,36 @@ +[ + { + "body": { + "content": "cms-virtual-machine-cc7.md", + "format": "md" + }, + "collections": [ + { + "experiment": "CMS" + }, + { + "primary": "VM" + }, + { + "year": "2016" + } + ], + "experiment": [ + "CMS" + ], + "short_description": { + "content": "The CMS-specific VM includes the ROOT framework and CMSSW. Follow the instructions below to setup a CERN Virtual Machine on your computer for Run2 CMS MiniAOD Open Data. Then, go to Getting Started with CMS data." + }, + "slug": "cms-virtual-machine-cc7", + "tags": [ + "VM" + ], + "title": "CMS CC7 Virtual Machines: How to install", + "type": { + "primary": "Documentation", + "secondary": [ + "Guide" + ] + } + } +] diff --git a/cernopendata/modules/fixtures/data/docs/cms-virtual-machine-cc7/cms-virtual-machine-cc7.md b/cernopendata/modules/fixtures/data/docs/cms-virtual-machine-cc7/cms-virtual-machine-cc7.md new file mode 100644 index 0000000000..7a7a2b350d --- /dev/null +++ b/cernopendata/modules/fixtures/data/docs/cms-virtual-machine-cc7/cms-virtual-machine-cc7.md @@ -0,0 +1,112 @@ +The CMS-specific VM includes the [ROOT framework](http://root.cern.ch/) and [CMSSW](http://cms-sw.github.io/). Follow the instructions below to set it up on your computer for Run2 CMS MiniAOD open data from 2016 - 2018. Then, go to [Getting Started with CMS MiniAOD data][getstartedcms] + +1. [How to install a CERN VM](#vbox) +2. [How to set up the CMSSW working area](#test) +3. [Issues & Limitations](#issue) + +## Step 1: How to install a CERN Virtual Machine + +### Installing VirtualBox + +VirtualBox is a free, open source and multiplatform application to run virtual machines: you can [download][installVB] the package for your platform from the Downloads page. + +You will need administrative ("root") privileges on every platform to perform the installation of VirtualBox. + +Note: the latest version of VirtualBox tested with this CMS-specific CernVM image is 7.0.4. If you have troubles with other versions of VirtualBox, pick that one: the full history of VirtualBox versions is available [on a different page][installVB2]. + + +### Downloading and Creating a Virtual Machine + +Download the CMS-specific CernVM image as OVA file from [CMS CC7 VM Image, for CMS MiniAOD open data from 2016 - 2018][cmsvmimagecc7]. + +By double clicking the downloaded file, VirtualBox imports the image with default settings. In VirtualBox version 6 or later, you need to unselect "import disks as VDI" on the initial import screen. Before launching the image, change the network settings: select the image from the left bar of the VirtualBox window, go to Settings and select Networks and change the network setting for network adaptor 2 to "NAT". Then, launch the CMS-specific CernVM, which boots into the graphical user interface and sets up the CMS environment. Then, be patient, the boot will take a while. + + +## Step 2: How to set up the CMSSW working area + +### Set up the CMS environment + +In the "CMS-OpenData-1.6.0" VM, open a terminal from the "CMS Shell" icon from the desktop as shown in the figure (note that the X terminal emulator from an icon bottom-left of the VM screen opens a shell with an operating system that might get updated to become incompatible with the CMS software release to be used but can be used e.g. for the git commands or ROOT). + +
+
+Build the local release area (the directory structure) for CMSSW. This only needs to be run once (note that it may take a while):
+
+```
+cmsrel CMSSW_10_6_30
+```
+
+Change to the ```CMSSW_10_6_30/src/``` directory:
+
+```
+cd CMSSW_10_6_30/src/
+```
+
+Set up the CMS environment with:
+
+```
+cmsenv
+```
+
+Then, head straight to [Getting Started with CMS MiniAOD Open Data](/docs/cms-getting-started-miniaod#data) to see how to acces data.
+
+
+## Known Issues & Limitations
+
+### Known Issues FAQ
+
+**Question:** The following error message appears when the Virtual Machine is started: "Could not start the machine CMS Open Data because the following physical network interfaces were not found: vboxnet0 (adapter 2). You can either change the machine's network settings or stop the machine."
+
+> **Answer:** Change the Network settings for adapter 2 from "Host-only Adapter" to "NAT". The VM should then start correctly.
+
+
+**Question:** What is the root password for the CMS Open Data VM?
+
+> **Answer:** The root password for the CMS Open Data VM is password, but if you need it when starting the VM, something has most likely gone wrong.
+
+**Question:** The CMS Open Data VM does not open correctly
+
+> **Answer:** In some versions of VirtualBox, it has happened that the CMS Open Data VM does not open correctly. This was the case for example for VirtulBox 5.0.32, but more recent versions from the VirtualBox website have been tested and are working properly. Note that it can take a while to launch the CMS Open Data VM for the first time.
+
+**Question:** In VirtualBox version 6, importing the CMS Open Data VM gives an error message 'For this new study, researchers looked for charginos decaying in three ways – via two W bosons (WW), a W boson and a Z boson (WZ), or a W boson and a Higgs boson (WH). These decay channels can all result in similar experimental signatures with one lepton. Researchers looked for unique collision-event signatures with isolated leptons, missing momentum, and large-radius jets (or b-jets in the WH case). They applied improved cut-and-count strategies in the WW/WZ cases, and revised the previous cut-and-count WH analysis with new machine-learning techniques. Using Boosted Decision Trees (BDTs), researchers were able to enhance signal identification in scenarios where the chargino and next-to-lightest neutralino decays were mediated by a Higgs boson, or when their mass difference closely aligns with the mass of the Higgs boson itself.
Researchers utilised this open dataset for training the analysis BDTs, making it readily available for subsequent advanced theoretical or machine learning investigations. The dataset is organised into 16 folders, each containing root files derived from Monte Carlo (MC) simulations. These files encompass both object-level and event-level variables, incorporating their associated systematic uncertainties.
Within these folders, 14 pertain to Standard Model background samples, with three major contributors being Single Top, ttbar, and W jets. The remaining two folders house signal samples and theory uncertainties for all MC-generated events. Each file is enriched with additional variables representing BDT scores for both Signal and Backgrounds.
Adopting a 1 vs all strategy, separate BDTs undergo individual training, reweighing, and optimisation tailored to specific classifications. The resultant scores conform to a comprehensive classification framework, providing sample-targeted independent probabilities spanning from 0 to 1 for all noteworthy Backgrounds and Signal categories. These scores serve as benchmarks for evaluating other cutting-edge models, such as Graph Neural Networks (GNNs), in the ongoing exploration of competitive state-of-the-art methodologies.
The dataset contains a total number of 12,380,322 events of which more than 6 million are ttbar events, 463,056 events in MC-generated Signal samples, and 23,251,217 events in theory samples.
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\n" + } + }, + { + "abstract": { + "description": "Run2010A_Mu dataset in a NanoAOD-like research-level Ntuple format for CMS Run1 data, readable with bare ROOT or other ROOT-compatible software, and containing the per-event information that is needed in most generic analyses. In contrast to the CMS NanoAOD which is derived from MiniAOD, this dataset is processed directly from the AOD format with code provided by the CMS open data group. Not all variables are available. Nevertheless, there is a large overlap in functionality and content between this format and the standard NanoAOD such that common analyses are possible.
The dataset is provided as a collection of root files. Run2010A_Mu_merged.root contains the separate files merged into one file. This dataset was processsed from the primary dataset in AOD format linked below.
\n" + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "7TeV", + "type": "pp" + }, + "dataset_semantics_files": { + "json": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31104/Run2010A_Mu_doc.json", + "url": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31104/Run2010A_Mu_doc.html" + }, + "date_created": [ + "2010" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaod-run1", + "root" + ], + "number_events": 20850125, + "number_files": 40, + "size": 13460112 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12505" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31104", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "77", + "type": "isChildOf" + } + ], + "title": "Run2010A_Mu dataset in Run1 NanoAOD-like format", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "usage": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. See the instructions for getting started in", + "links": [ + { + "description": "Using Docker containers", + "url": "/docs/cms-guide-docker#nanoaod" + }, + { + "description": "Getting started with CMS NanoAOD", + "url": "/docs/cms-getting-started-nanoaod" + } + ] + }, + "validation": { + "description": "These data were processed from the primary dataset using only the validated runs.
\n" + } + }, + { + "abstract": { + "description": "Run2010A_MuOnia dataset in a NanoAOD-like research-level Ntuple format for CMS Run1 data, readable with bare ROOT or other ROOT-compatible software, and containing the per-event information that is needed in most generic analyses. In contrast to the CMS NanoAOD which is derived from MiniAOD, this dataset is processed directly from the AOD format with code provided by the CMS open data group. Not all variables are available. Nevertheless, there is a large overlap in functionality and content between this format and the standard NanoAOD such that common analyses are possible.
The dataset is provided as a collection of root files. Run2010A_MuOnia_merged.root contains the separate files merged into one file. This dataset was processsed from the primary dataset in AOD format linked below.
\n" + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "7TeV", + "type": "pp" + }, + "dataset_semantics_files": { + "json": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31105/Run2010A_MuOnia_doc.json", + "url": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31105/Run2010A_MuOnia_doc.html" + }, + "date_created": [ + "2010" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaod-run1", + "root" + ], + "number_events": 29583697, + "number_files": 65, + "size": 21183852 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12505" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31105", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "75", + "type": "isChildOf" + } + ], + "title": "Run2010A_MuOnia dataset in Run1 NanoAOD-like format", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "usage": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. See the instructions for getting started in", + "links": [ + { + "description": "Using Docker containers", + "url": "/docs/cms-guide-docker#nanoaod" + }, + { + "description": "Getting started with CMS NanoAOD", + "url": "/docs/cms-getting-started-nanoaod" + } + ] + }, + "validation": { + "description": "These data were processed from the primary dataset using only the validated runs.
\n" + } + }, + { + "abstract": { + "description": "Run2010B_Electron dataset in a NanoAOD-like research-level Ntuple format for CMS Run1 data, readable with bare ROOT or other ROOT-compatible software, and containing the per-event information that is needed in most generic analyses. In contrast to the CMS NanoAOD which is derived from MiniAOD, this dataset is processed directly from the AOD format with code provided by the CMS open data group. Not all variables are available. Nevertheless, there is a large overlap in functionality and content between this format and the standard NanoAOD such that common analyses are possible.
The dataset is provided as a collection of root files. Run2010B_Electron_merged.root contains the separate files merged into one file. This dataset was processsed from the primary dataset in AOD format linked below.
\n" + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "7TeV", + "type": "pp" + }, + "dataset_semantics_files": { + "json": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31106/Run2010B_Electron_doc.json", + "url": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31106/Run2010B_Electron_doc.html" + }, + "date_created": [ + "2010" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaod-run1", + "root" + ], + "number_events": 27856626, + "number_files": 81, + "size": 24110900 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12505" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31106", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "4", + "type": "isChildOf" + } + ], + "title": "Run2010B_Electron dataset in Run1 NanoAOD-like format", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "usage": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. See the instructions for getting started in", + "links": [ + { + "description": "Using Docker containers", + "url": "/docs/cms-guide-docker#nanoaod" + }, + { + "description": "Getting started with CMS NanoAOD", + "url": "/docs/cms-getting-started-nanoaod" + } + ] + }, + "validation": { + "description": "These data were processed from the primary dataset using only the validated runs.
\n" + } + }, + { + "abstract": { + "description": "Run2010B_Jet dataset in a NanoAOD-like research-level Ntuple format for CMS Run1 data, readable with bare ROOT or other ROOT-compatible software, and containing the per-event information that is needed in most generic analyses. In contrast to the CMS NanoAOD which is derived from MiniAOD, this dataset is processed directly from the AOD format with code provided by the CMS open data group. Not all variables are available. Nevertheless, there is a large overlap in functionality and content between this format and the standard NanoAOD such that common analyses are possible.
The dataset is provided as a collection of root files. Run2010B_Jet_merged.root contains the separate files merged into one file. This dataset was processsed from the primary dataset in AOD format linked below.
\n" + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "7TeV", + "type": "pp" + }, + "dataset_semantics_files": { + "json": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31107/Run2010B_Jet_doc.json", + "url": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31107/Run2010B_Jet_doc.html" + }, + "date_created": [ + "2010" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaod-run1", + "root" + ], + "number_events": 16341187, + "number_files": 42, + "size": 12596211 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12505" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31107", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "5", + "type": "isChildOf" + } + ], + "title": "Run2010B_Jet dataset in Run1 NanoAOD-like format", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "usage": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. See the instructions for getting started in", + "links": [ + { + "description": "Using Docker containers", + "url": "/docs/cms-guide-docker#nanoaod" + }, + { + "description": "Getting started with CMS NanoAOD", + "url": "/docs/cms-getting-started-nanoaod" + } + ] + }, + "validation": { + "description": "These data were processed from the primary dataset using only the validated runs.
\n" + } + }, + { + "abstract": { + "description": "Run2010B_Mu dataset in a NanoAOD-like research-level Ntuple format for CMS Run1 data, readable with bare ROOT or other ROOT-compatible software, and containing the per-event information that is needed in most generic analyses. In contrast to the CMS NanoAOD which is derived from MiniAOD, this dataset is processed directly from the AOD format with code provided by the CMS open data group. Not all variables are available. Nevertheless, there is a large overlap in functionality and content between this format and the standard NanoAOD such that common analyses are possible.
The dataset is provided as a collection of root files. Run2010B_Mu_merged.root contains the separate files merged into one file. This dataset was processsed from the primary dataset in AOD format linked below.
\n" + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "7TeV", + "type": "pp" + }, + "dataset_semantics_files": { + "json": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31108/Run2010B_Mu_doc.json", + "url": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31108/Run2010B_Mu_doc.html" + }, + "date_created": [ + "2010" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaod-run1", + "root" + ], + "number_events": 26718043, + "number_files": 75, + "size": 26723593 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12505" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31108", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "14", + "type": "isChildOf" + } + ], + "title": "Run2010B_Mu dataset in Run1 NanoAOD-like format", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "usage": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. See the instructions for getting started in", + "links": [ + { + "description": "Using Docker containers", + "url": "/docs/cms-guide-docker#nanoaod" + }, + { + "description": "Getting started with CMS NanoAOD", + "url": "/docs/cms-getting-started-nanoaod" + } + ] + }, + "validation": { + "description": "These data were processed from the primary dataset using only the validated runs.
\n" + } + }, + { + "abstract": { + "description": "Run2010B_MuOnia dataset in a NanoAOD-like research-level Ntuple format for CMS Run1 data, readable with bare ROOT or other ROOT-compatible software, and containing the per-event information that is needed in most generic analyses. In contrast to the CMS NanoAOD which is derived from MiniAOD, this dataset is processed directly from the AOD format with code provided by the CMS open data group. Not all variables are available. Nevertheless, there is a large overlap in functionality and content between this format and the standard NanoAOD such that common analyses are possible.
The dataset is provided as a collection of root files. Run2010B_MuOnia_merged.root contains the separate files merged into one file. This dataset was processsed from the primary dataset in AOD format linked below.
\n" + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "7TeV", + "type": "pp" + }, + "dataset_semantics_files": { + "json": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31109/Run2010B_MuOnia_doc.json", + "url": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31109/Run2010B_MuOnia_doc.html" + }, + "date_created": [ + "2010" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaod-run1", + "root" + ], + "number_events": 22677534, + "number_files": 73, + "size": 24284679 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12505" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31109", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "10", + "type": "isChildOf" + } + ], + "title": "Run2010B_MuOnia dataset in Run1 NanoAOD-like format", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "usage": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. See the instructions for getting started in", + "links": [ + { + "description": "Using Docker containers", + "url": "/docs/cms-guide-docker#nanoaod" + }, + { + "description": "Getting started with CMS NanoAOD", + "url": "/docs/cms-getting-started-nanoaod" + } + ] + }, + "validation": { + "description": "These data were processed from the primary dataset using only the validated runs.
\n" + } + }, + { + "abstract": { + "description": "Run2011A_DoubleElectron dataset in a NanoAOD-like research-level Ntuple format for CMS Run1 data, readable with bare ROOT or other ROOT-compatible software, and containing the per-event information that is needed in most generic analyses. In contrast to the CMS NanoAOD which is derived from MiniAOD, this dataset is processed directly from the AOD format with code provided by the CMS open data group. Not all variables are available. Nevertheless, there is a large overlap in functionality and content between this format and the standard NanoAOD such that common analyses are possible.
The dataset is provided as a collection of root files. Run2011A_DoubleElectron_merged.root contains the separate files merged into one file. This dataset was processsed from the primary dataset in AOD format linked below.
\n" + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "7TeV", + "type": "pp" + }, + "dataset_semantics_files": { + "json": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31110/Run2011A_DoubleElectron_doc.json", + "url": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31110/Run2011A_DoubleElectron_doc.html" + }, + "date_created": [ + "2011" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaod-run1", + "root" + ], + "number_events": 44239644, + "number_files": 43, + "size": 64547332 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12505" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31110", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "16", + "type": "isChildOf" + } + ], + "title": "Run2011A_DoubleElectron dataset in Run1 NanoAOD-like format", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "usage": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. See the instructions for getting started in", + "links": [ + { + "description": "Using Docker containers", + "url": "/docs/cms-guide-docker#nanoaod" + }, + { + "description": "Getting started with CMS NanoAOD", + "url": "/docs/cms-getting-started-nanoaod" + } + ] + }, + "validation": { + "description": "These data were processed from the primary dataset using only the validated runs.
\n" + } + }, + { + "abstract": { + "description": "Run2011A_DoubleMu dataset in a NanoAOD-like research-level Ntuple format for CMS Run1 data, readable with bare ROOT or other ROOT-compatible software, and containing the per-event information that is needed in most generic analyses. In contrast to the CMS NanoAOD which is derived from MiniAOD, this dataset is processed directly from the AOD format with code provided by the CMS open data group. Not all variables are available. Nevertheless, there is a large overlap in functionality and content between this format and the standard NanoAOD such that common analyses are possible.
The dataset is provided as a collection of root files. Run2011A_DoubleMu_merged.root contains the separate files merged into one file. This dataset was processsed from the primary dataset in AOD format linked below.
\n" + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "7TeV", + "type": "pp" + }, + "dataset_semantics_files": { + "json": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31111/Run2011A_DoubleMu_doc.json", + "url": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31111/Run2011A_DoubleMu_doc.html" + }, + "date_created": [ + "2011" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaod-run1", + "root" + ], + "number_events": 35287778, + "number_files": 35, + "size": 52140430 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12505" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31111", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "17", + "type": "isChildOf" + } + ], + "title": "Run2011A_DoubleMu dataset in Run1 NanoAOD-like format", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "usage": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. See the instructions for getting started in", + "links": [ + { + "description": "Using Docker containers", + "url": "/docs/cms-guide-docker#nanoaod" + }, + { + "description": "Getting started with CMS NanoAOD", + "url": "/docs/cms-getting-started-nanoaod" + } + ] + }, + "validation": { + "description": "These data were processed from the primary dataset using only the validated runs.
\n" + } + }, + { + "abstract": { + "description": "Run2011A_Jet dataset in a NanoAOD-like research-level Ntuple format for CMS Run1 data, readable with bare ROOT or other ROOT-compatible software, and containing the per-event information that is needed in most generic analyses. In contrast to the CMS NanoAOD which is derived from MiniAOD, this dataset is processed directly from the AOD format with code provided by the CMS open data group. Not all variables are available. Nevertheless, there is a large overlap in functionality and content between this format and the standard NanoAOD such that common analyses are possible.
The dataset is provided as a collection of root files. Run2011A_Jet_merged.root contains the separate files merged into one file. This dataset was processsed from the primary dataset in AOD format linked below.
\n" + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "7TeV", + "type": "pp" + }, + "dataset_semantics_files": { + "json": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31112/Run2011A_Jet_doc.json", + "url": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31112/Run2011A_Jet_doc.html" + }, + "date_created": [ + "2011" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaod-run1", + "root" + ], + "number_events": 26277742, + "number_files": 31, + "size": 52902894 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12505" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31112", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "21", + "type": "isChildOf" + } + ], + "title": "Run2011A_Jet dataset in Run1 NanoAOD-like format", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "usage": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. See the instructions for getting started in", + "links": [ + { + "description": "Using Docker containers", + "url": "/docs/cms-guide-docker#nanoaod" + }, + { + "description": "Getting started with CMS NanoAOD", + "url": "/docs/cms-getting-started-nanoaod" + } + ] + }, + "validation": { + "description": "These data were processed from the primary dataset using only the validated runs.
\n" + } + }, + { + "abstract": { + "description": "Run2011A_MuOnia dataset in a NanoAOD-like research-level Ntuple format for CMS Run1 data, readable with bare ROOT or other ROOT-compatible software, and containing the per-event information that is needed in most generic analyses. In contrast to the CMS NanoAOD which is derived from MiniAOD, this dataset is processed directly from the AOD format with code provided by the CMS open data group. Not all variables are available. Nevertheless, there is a large overlap in functionality and content between this format and the standard NanoAOD such that common analyses are possible.
The dataset is provided as a collection of root files. Run2011A_MuOnia_merged.root contains the separate files merged into one file. This dataset was processsed from the primary dataset in AOD format linked below.
\n" + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "7TeV", + "type": "pp" + }, + "dataset_semantics_files": { + "json": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31113/Run2011A_MuOnia_doc.json", + "url": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31113/Run2011A_MuOnia_doc.html" + }, + "date_created": [ + "2011" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaod-run1", + "root" + ], + "number_events": 55915322, + "number_files": 58, + "size": 79626551 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12505" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31113", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "27", + "type": "isChildOf" + } + ], + "title": "Run2011A_MuOnia dataset in Run1 NanoAOD-like format", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "usage": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. See the instructions for getting started in", + "links": [ + { + "description": "Using Docker containers", + "url": "/docs/cms-guide-docker#nanoaod" + }, + { + "description": "Getting started with CMS NanoAOD", + "url": "/docs/cms-getting-started-nanoaod" + } + ] + }, + "validation": { + "description": "These data were processed from the primary dataset using only the validated runs.
\n" + } + }, + { + "abstract": { + "description": "Run2011A_SingleElectron dataset in a NanoAOD-like research-level Ntuple format for CMS Run1 data, readable with bare ROOT or other ROOT-compatible software, and containing the per-event information that is needed in most generic analyses. In contrast to the CMS NanoAOD which is derived from MiniAOD, this dataset is processed directly from the AOD format with code provided by the CMS open data group. Not all variables are available. Nevertheless, there is a large overlap in functionality and content between this format and the standard NanoAOD such that common analyses are possible.
The dataset is provided as a collection of root files. Run2011A_SingleElectron_merged.root contains the separate files merged into one file. This dataset was processsed from the primary dataset in AOD format linked below.
\n" + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "7TeV", + "type": "pp" + }, + "dataset_semantics_files": { + "json": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31114/Run2011A_SingleElectron_doc.json", + "url": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31114/Run2011A_SingleElectron_doc.html" + }, + "date_created": [ + "2011" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaod-run1", + "root" + ], + "number_events": 37917536, + "number_files": 39, + "size": 67852776 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12505" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31114", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "31", + "type": "isChildOf" + } + ], + "title": "Run2011A_SingleElectron dataset in Run1 NanoAOD-like format", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "usage": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. See the instructions for getting started in", + "links": [ + { + "description": "Using Docker containers", + "url": "/docs/cms-guide-docker#nanoaod" + }, + { + "description": "Getting started with CMS NanoAOD", + "url": "/docs/cms-getting-started-nanoaod" + } + ] + }, + "validation": { + "description": "These data were processed from the primary dataset using only the validated runs.
\n" + } + }, + { + "abstract": { + "description": "Run2011A_SingleMu dataset in a NanoAOD-like research-level Ntuple format for CMS Run1 data, readable with bare ROOT or other ROOT-compatible software, and containing the per-event information that is needed in most generic analyses. In contrast to the CMS NanoAOD which is derived from MiniAOD, this dataset is processed directly from the AOD format with code provided by the CMS open data group. Not all variables are available. Nevertheless, there is a large overlap in functionality and content between this format and the standard NanoAOD such that common analyses are possible.
The dataset is provided as a collection of root files. Run2011A_SingleMu_merged.root contains the separate files merged into one file. This dataset was processsed from the primary dataset in AOD format linked below.
\n" + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "7TeV", + "type": "pp" + }, + "dataset_semantics_files": { + "json": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31115/Run2011A_SingleMu_doc.json", + "url": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31115/Run2011A_SingleMu_doc.html" + }, + "date_created": [ + "2011" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaod-run1", + "root" + ], + "number_events": 78757263, + "number_files": 100, + "size": 121509784 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12505" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31115", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "32", + "type": "isChildOf" + } + ], + "title": "Run2011A_SingleMu dataset in Run1 NanoAOD-like format", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "usage": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. See the instructions for getting started in", + "links": [ + { + "description": "Using Docker containers", + "url": "/docs/cms-guide-docker#nanoaod" + }, + { + "description": "Getting started with CMS NanoAOD", + "url": "/docs/cms-getting-started-nanoaod" + } + ] + }, + "validation": { + "description": "These data were processed from the primary dataset using only the validated runs.
\n" + } + }, + { + "abstract": { + "description": "Run2011B_DoubleElectron dataset in a NanoAOD-like research-level Ntuple format for CMS Run1 data, readable with bare ROOT or other ROOT-compatible software, and containing the per-event information that is needed in most generic analyses. In contrast to the CMS NanoAOD which is derived from MiniAOD, this dataset is processed directly from the AOD format with code provided by the CMS open data group. Not all variables are available. Nevertheless, there is a large overlap in functionality and content between this format and the standard NanoAOD such that common analyses are possible.
The dataset is provided as a collection of root files. Run2011B_DoubleElectron_merged.root contains the separate files merged into one file. This dataset was processsed from the primary dataset in AOD format linked below.
\n" + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "7TeV", + "type": "pp" + }, + "dataset_semantics_files": { + "json": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31116/Run2011B_DoubleElectron_doc.json", + "url": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31116/Run2011B_DoubleElectron_doc.html" + }, + "date_created": [ + "2011" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaod-run1", + "root" + ], + "number_events": 14588696, + "number_files": 25, + "size": 35748992 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12505" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31116", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "271", + "type": "isChildOf" + } + ], + "title": "Run2011B_DoubleElectron dataset in Run1 NanoAOD-like format", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "usage": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. See the instructions for getting started in", + "links": [ + { + "description": "Using Docker containers", + "url": "/docs/cms-guide-docker#nanoaod" + }, + { + "description": "Getting started with CMS NanoAOD", + "url": "/docs/cms-getting-started-nanoaod" + } + ] + }, + "validation": { + "description": "These data were processed from the primary dataset using only the validated runs.
\n" + } + }, + { + "abstract": { + "description": "Run2011B_DoubleMu dataset in a NanoAOD-like research-level Ntuple format for CMS Run1 data, readable with bare ROOT or other ROOT-compatible software, and containing the per-event information that is needed in most generic analyses. In contrast to the CMS NanoAOD which is derived from MiniAOD, this dataset is processed directly from the AOD format with code provided by the CMS open data group. Not all variables are available. Nevertheless, there is a large overlap in functionality and content between this format and the standard NanoAOD such that common analyses are possible.
The dataset is provided as a collection of root files. Run2011B_DoubleMu_merged.root contains the separate files merged into one file. This dataset was processsed from the primary dataset in AOD format linked below.
\n" + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "7TeV", + "type": "pp" + }, + "dataset_semantics_files": { + "json": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31117/Run2011B_DoubleMu_doc.json", + "url": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31117/Run2011B_DoubleMu_doc.html" + }, + "date_created": [ + "2011" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaod-run1", + "root" + ], + "number_events": 22334391, + "number_files": 35, + "size": 48506867 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12505" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31117", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "272", + "type": "isChildOf" + } + ], + "title": "Run2011B_DoubleMu dataset in Run1 NanoAOD-like format", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "usage": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. See the instructions for getting started in", + "links": [ + { + "description": "Using Docker containers", + "url": "/docs/cms-guide-docker#nanoaod" + }, + { + "description": "Getting started with CMS NanoAOD", + "url": "/docs/cms-getting-started-nanoaod" + } + ] + }, + "validation": { + "description": "These data were processed from the primary dataset using only the validated runs.
\n" + } + }, + { + "abstract": { + "description": "Run2011B_Jet dataset in a NanoAOD-like research-level Ntuple format for CMS Run1 data, readable with bare ROOT or other ROOT-compatible software, and containing the per-event information that is needed in most generic analyses. In contrast to the CMS NanoAOD which is derived from MiniAOD, this dataset is processed directly from the AOD format with code provided by the CMS open data group. Not all variables are available. Nevertheless, there is a large overlap in functionality and content between this format and the standard NanoAOD such that common analyses are possible.
The dataset is provided as a collection of root files. Run2011B_Jet_merged.root contains the separate files merged into one file. This dataset was processsed from the primary dataset in AOD format linked below.
\n" + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "7TeV", + "type": "pp" + }, + "dataset_semantics_files": { + "json": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31118/Run2011B_Jet_doc.json", + "url": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31118/Run2011B_Jet_doc.html" + }, + "date_created": [ + "2011" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaod-run1", + "root" + ], + "number_events": 12069498, + "number_files": 21, + "size": 38545896 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12505" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31118", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "275", + "type": "isChildOf" + } + ], + "title": "Run2011B_Jet dataset in Run1 NanoAOD-like format", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "usage": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. See the instructions for getting started in", + "links": [ + { + "description": "Using Docker containers", + "url": "/docs/cms-guide-docker#nanoaod" + }, + { + "description": "Getting started with CMS NanoAOD", + "url": "/docs/cms-getting-started-nanoaod" + } + ] + }, + "validation": { + "description": "These data were processed from the primary dataset using only the validated runs.
\n" + } + }, + { + "abstract": { + "description": "Run2011B_MuOnia dataset in a NanoAOD-like research-level Ntuple format for CMS Run1 data, readable with bare ROOT or other ROOT-compatible software, and containing the per-event information that is needed in most generic analyses. In contrast to the CMS NanoAOD which is derived from MiniAOD, this dataset is processed directly from the AOD format with code provided by the CMS open data group. Not all variables are available. Nevertheless, there is a large overlap in functionality and content between this format and the standard NanoAOD such that common analyses are possible.
The dataset is provided as a collection of root files. Run2011B_MuOnia_merged.root contains the separate files merged into one file. This dataset was processsed from the primary dataset in AOD format linked below.
\n" + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "7TeV", + "type": "pp" + }, + "dataset_semantics_files": { + "json": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31119/Run2011B_MuOnia_doc.json", + "url": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31119/Run2011B_MuOnia_doc.html" + }, + "date_created": [ + "2011" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaod-run1", + "root" + ], + "number_events": 26280382, + "number_files": 39, + "size": 52354586 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12505" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31119", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "280", + "type": "isChildOf" + } + ], + "title": "Run2011B_MuOnia dataset in Run1 NanoAOD-like format", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "usage": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. See the instructions for getting started in", + "links": [ + { + "description": "Using Docker containers", + "url": "/docs/cms-guide-docker#nanoaod" + }, + { + "description": "Getting started with CMS NanoAOD", + "url": "/docs/cms-getting-started-nanoaod" + } + ] + }, + "validation": { + "description": "These data were processed from the primary dataset using only the validated runs.
\n" + } + }, + { + "abstract": { + "description": "Run2011B_SingleElectron dataset in a NanoAOD-like research-level Ntuple format for CMS Run1 data, readable with bare ROOT or other ROOT-compatible software, and containing the per-event information that is needed in most generic analyses. In contrast to the CMS NanoAOD which is derived from MiniAOD, this dataset is processed directly from the AOD format with code provided by the CMS open data group. Not all variables are available. Nevertheless, there is a large overlap in functionality and content between this format and the standard NanoAOD such that common analyses are possible.
The dataset is provided as a collection of root files. Run2011B_SingleElectron_merged.root contains the separate files merged into one file. This dataset was processsed from the primary dataset in AOD format linked below.
\n" + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "7TeV", + "type": "pp" + }, + "dataset_semantics_files": { + "json": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31120/Run2011B_SingleElectron_doc.json", + "url": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31120/Run2011B_SingleElectron_doc.html" + }, + "date_created": [ + "2011" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaod-run1", + "root" + ], + "number_events": 15956053, + "number_files": 25, + "size": 49131393 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12505" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31120", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "284", + "type": "isChildOf" + } + ], + "title": "Run2011B_SingleElectron dataset in Run1 NanoAOD-like format", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "usage": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. See the instructions for getting started in", + "links": [ + { + "description": "Using Docker containers", + "url": "/docs/cms-guide-docker#nanoaod" + }, + { + "description": "Getting started with CMS NanoAOD", + "url": "/docs/cms-getting-started-nanoaod" + } + ] + }, + "validation": { + "description": "These data were processed from the primary dataset using only the validated runs.
\n" + } + }, + { + "abstract": { + "description": "Run2011B_SingleMu dataset in a NanoAOD-like research-level Ntuple format for CMS Run1 data, readable with bare ROOT or other ROOT-compatible software, and containing the per-event information that is needed in most generic analyses. In contrast to the CMS NanoAOD which is derived from MiniAOD, this dataset is processed directly from the AOD format with code provided by the CMS open data group. Not all variables are available. Nevertheless, there is a large overlap in functionality and content between this format and the standard NanoAOD such that common analyses are possible.
The dataset is provided as a collection of root files. Run2011B_SingleMu_merged.root contains the separate files merged into one file. This dataset was processsed from the primary dataset in AOD format linked below.
\n" + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "7TeV", + "type": "pp" + }, + "dataset_semantics_files": { + "json": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31121/Run2011B_SingleMu_doc.json", + "url": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31121/Run2011B_SingleMu_doc.html" + }, + "date_created": [ + "2011" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaod-run1", + "root" + ], + "number_events": 47134514, + "number_files": 93, + "size": 135693716 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12505" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31121", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "285", + "type": "isChildOf" + } + ], + "title": "Run2011B_SingleMu dataset in Run1 NanoAOD-like format", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "usage": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. See the instructions for getting started in", + "links": [ + { + "description": "Using Docker containers", + "url": "/docs/cms-guide-docker#nanoaod" + }, + { + "description": "Getting started with CMS NanoAOD", + "url": "/docs/cms-getting-started-nanoaod" + } + ] + }, + "validation": { + "description": "These data were processed from the primary dataset using only the validated runs.
\n" + } + }, + { + "abstract": { + "description": "Run2012B_DoubleElectron dataset in a NanoAOD-like research-level Ntuple format for CMS Run1 data, readable with bare ROOT or other ROOT-compatible software, and containing the per-event information that is needed in most generic analyses. In contrast to the CMS NanoAOD which is derived from MiniAOD, this dataset is processed directly from the AOD format with code provided by the CMS open data group. Not all variables are available. Nevertheless, there is a large overlap in functionality and content between this format and the standard NanoAOD such that common analyses are possible.
The dataset is provided as a collection of root files. Run2012B_DoubleElectron_merged.root contains the separate files merged into one file. This dataset was processsed from the primary dataset in AOD format linked below.
\n" + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "8TeV", + "type": "pp" + }, + "dataset_semantics_files": { + "json": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31122/Run2012B_DoubleElectron_doc.json", + "url": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31122/Run2012B_DoubleElectron_doc.html" + }, + "date_created": [ + "2012" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaod-run1", + "root" + ], + "number_events": 21474287, + "number_files": 42, + "size": 53390189 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12505" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31122", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "6003", + "type": "isChildOf" + } + ], + "title": "Run2012B_DoubleElectron dataset in Run1 NanoAOD-like format", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "usage": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. See the instructions for getting started in", + "links": [ + { + "description": "Using Docker containers", + "url": "/docs/cms-guide-docker#nanoaod" + }, + { + "description": "Getting started with CMS NanoAOD", + "url": "/docs/cms-getting-started-nanoaod" + } + ] + }, + "validation": { + "description": "These data were processed from the primary dataset using only the validated runs.
\n" + } + }, + { + "abstract": { + "description": "Run2012B_DoubleMuParked dataset in a NanoAOD-like research-level Ntuple format for CMS Run1 data, readable with bare ROOT or other ROOT-compatible software, and containing the per-event information that is needed in most generic analyses. In contrast to the CMS NanoAOD which is derived from MiniAOD, this dataset is processed directly from the AOD format with code provided by the CMS open data group. Not all variables are available. Nevertheless, there is a large overlap in functionality and content between this format and the standard NanoAOD such that common analyses are possible.
The dataset is provided as a collection of root files. Run2012B_DoubleMuParked_merged.root contains the separate files merged into one file. This dataset was processsed from the primary dataset in AOD format linked below.
\n" + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "8TeV", + "type": "pp" + }, + "dataset_semantics_files": { + "json": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31123/Run2012B_DoubleMuParked_doc.json", + "url": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31123/Run2012B_DoubleMuParked_doc.html" + }, + "date_created": [ + "2012" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaod-run1", + "root" + ], + "number_events": 26084708, + "number_files": 57, + "size": 79256573 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12505" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31123", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "6004", + "type": "isChildOf" + } + ], + "title": "Run2012B_DoubleMuParked dataset in Run1 NanoAOD-like format", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "usage": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. See the instructions for getting started in", + "links": [ + { + "description": "Using Docker containers", + "url": "/docs/cms-guide-docker#nanoaod" + }, + { + "description": "Getting started with CMS NanoAOD", + "url": "/docs/cms-getting-started-nanoaod" + } + ] + }, + "validation": { + "description": "These data were processed from the primary dataset using only the validated runs.
\n" + } + }, + { + "abstract": { + "description": "Run2012B_MuOnia dataset in a NanoAOD-like research-level Ntuple format for CMS Run1 data, readable with bare ROOT or other ROOT-compatible software, and containing the per-event information that is needed in most generic analyses. In contrast to the CMS NanoAOD which is derived from MiniAOD, this dataset is processed directly from the AOD format with code provided by the CMS open data group. Not all variables are available. Nevertheless, there is a large overlap in functionality and content between this format and the standard NanoAOD such that common analyses are possible.
The dataset is provided as a collection of root files. Run2012B_MuOnia_merged.root contains the separate files merged into one file. This dataset was processsed from the primary dataset in AOD format linked below.
\n" + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "8TeV", + "type": "pp" + }, + "dataset_semantics_files": { + "json": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31124/Run2012B_MuOnia_doc.json", + "url": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31124/Run2012B_MuOnia_doc.html" + }, + "date_created": [ + "2012" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaod-run1", + "root" + ], + "number_events": 34025601, + "number_files": 64, + "size": 90182715 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12505" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31124", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "6016", + "type": "isChildOf" + } + ], + "title": "Run2012B_MuOnia dataset in Run1 NanoAOD-like format", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "usage": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. See the instructions for getting started in", + "links": [ + { + "description": "Using Docker containers", + "url": "/docs/cms-guide-docker#nanoaod" + }, + { + "description": "Getting started with CMS NanoAOD", + "url": "/docs/cms-getting-started-nanoaod" + } + ] + }, + "validation": { + "description": "These data were processed from the primary dataset using only the validated runs.
\n" + } + }, + { + "abstract": { + "description": "Run2012B_MuOniaParked dataset in a NanoAOD-like research-level Ntuple format for CMS Run1 data, readable with bare ROOT or other ROOT-compatible software, and containing the per-event information that is needed in most generic analyses. In contrast to the CMS NanoAOD which is derived from MiniAOD, this dataset is processed directly from the AOD format with code provided by the CMS open data group. Not all variables are available. Nevertheless, there is a large overlap in functionality and content between this format and the standard NanoAOD such that common analyses are possible.
The dataset is provided as a collection of root files. Run2012B_MuOniaParked_merged.root contains the separate files merged into one file. This dataset was processsed from the primary dataset in AOD format linked below.
\n" + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "8TeV", + "type": "pp" + }, + "dataset_semantics_files": { + "json": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31125/Run2012B_MuOniaParked_doc.json", + "url": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31125/Run2012B_MuOniaParked_doc.html" + }, + "date_created": [ + "2012" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaod-run1", + "root" + ], + "number_events": 54116119, + "number_files": 110, + "size": 139545513 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12505" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31125", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "6017", + "type": "isChildOf" + } + ], + "title": "Run2012B_MuOniaParked dataset in Run1 NanoAOD-like format", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "usage": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. See the instructions for getting started in", + "links": [ + { + "description": "Using Docker containers", + "url": "/docs/cms-guide-docker#nanoaod" + }, + { + "description": "Getting started with CMS NanoAOD", + "url": "/docs/cms-getting-started-nanoaod" + } + ] + }, + "validation": { + "description": "These data were processed from the primary dataset using only the validated runs.
\n" + } + }, + { + "abstract": { + "description": "Run2012B_SingleElectron dataset in a NanoAOD-like research-level Ntuple format for CMS Run1 data, readable with bare ROOT or other ROOT-compatible software, and containing the per-event information that is needed in most generic analyses. In contrast to the CMS NanoAOD which is derived from MiniAOD, this dataset is processed directly from the AOD format with code provided by the CMS open data group. Not all variables are available. Nevertheless, there is a large overlap in functionality and content between this format and the standard NanoAOD such that common analyses are possible.
The dataset is provided as a collection of root files. Run2012B_SingleElectron_merged.root contains the separate files merged into one file. This dataset was processsed from the primary dataset in AOD format linked below.
\n" + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "8TeV", + "type": "pp" + }, + "dataset_semantics_files": { + "json": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31126/Run2012B_SingleElectron_doc.json", + "url": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31126/Run2012B_SingleElectron_doc.html" + }, + "date_created": [ + "2012" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaod-run1", + "root" + ], + "number_events": 62023592, + "number_files": 133, + "size": 152143352 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12505" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31126", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "6020", + "type": "isChildOf" + } + ], + "title": "Run2012B_SingleElectron dataset in Run1 NanoAOD-like format", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "usage": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. See the instructions for getting started in", + "links": [ + { + "description": "Using Docker containers", + "url": "/docs/cms-guide-docker#nanoaod" + }, + { + "description": "Getting started with CMS NanoAOD", + "url": "/docs/cms-getting-started-nanoaod" + } + ] + }, + "validation": { + "description": "These data were processed from the primary dataset using only the validated runs.
\n" + } + }, + { + "abstract": { + "description": "Run2012B_SingleMu dataset in a NanoAOD-like research-level Ntuple format for CMS Run1 data, readable with bare ROOT or other ROOT-compatible software, and containing the per-event information that is needed in most generic analyses. In contrast to the CMS NanoAOD which is derived from MiniAOD, this dataset is processed directly from the AOD format with code provided by the CMS open data group. Not all variables are available. Nevertheless, there is a large overlap in functionality and content between this format and the standard NanoAOD such that common analyses are possible.
The dataset is provided as a collection of root files. Run2012B_SingleMu_merged.root contains the separate files merged into one file. This dataset was processsed from the primary dataset in AOD format linked below.
\n" + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "8TeV", + "type": "pp" + }, + "dataset_semantics_files": { + "json": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31127/Run2012B_SingleMu_doc.json", + "url": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31127/Run2012B_SingleMu_doc.html" + }, + "date_created": [ + "2012" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaod-run1", + "root" + ], + "number_events": 53446198, + "number_files": 107, + "size": 133394178 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12505" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31127", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "6021", + "type": "isChildOf" + } + ], + "title": "Run2012B_SingleMu dataset in Run1 NanoAOD-like format", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "usage": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. See the instructions for getting started in", + "links": [ + { + "description": "Using Docker containers", + "url": "/docs/cms-guide-docker#nanoaod" + }, + { + "description": "Getting started with CMS NanoAOD", + "url": "/docs/cms-getting-started-nanoaod" + } + ] + }, + "validation": { + "description": "These data were processed from the primary dataset using only the validated runs.
\n" + } + }, + { + "abstract": { + "description": "Run2012C_DoubleElectron dataset in a NanoAOD-like research-level Ntuple format for CMS Run1 data, readable with bare ROOT or other ROOT-compatible software, and containing the per-event information that is needed in most generic analyses. In contrast to the CMS NanoAOD which is derived from MiniAOD, this dataset is processed directly from the AOD format with code provided by the CMS open data group. Not all variables are available. Nevertheless, there is a large overlap in functionality and content between this format and the standard NanoAOD such that common analyses are possible.
The dataset is provided as a collection of root files. Run2012C_DoubleElectron_merged.root contains the separate files merged into one file. This dataset was processsed from the primary dataset in AOD format linked below.
\n" + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "8TeV", + "type": "pp" + }, + "dataset_semantics_files": { + "json": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31128/Run2012C_DoubleElectron_doc.json", + "url": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31128/Run2012C_DoubleElectron_doc.html" + }, + "date_created": [ + "2012" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaod-run1", + "root" + ], + "number_events": 32537541, + "number_files": 60, + "size": 82257438 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12505" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31128", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "6029", + "type": "isChildOf" + } + ], + "title": "Run2012C_DoubleElectron dataset in Run1 NanoAOD-like format", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "usage": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. See the instructions for getting started in", + "links": [ + { + "description": "Using Docker containers", + "url": "/docs/cms-guide-docker#nanoaod" + }, + { + "description": "Getting started with CMS NanoAOD", + "url": "/docs/cms-getting-started-nanoaod" + } + ] + }, + "validation": { + "description": "These data were processed from the primary dataset using only the validated runs.
\n" + } + }, + { + "abstract": { + "description": "Run2012C_DoubleMuParked dataset in a NanoAOD-like research-level Ntuple format for CMS Run1 data, readable with bare ROOT or other ROOT-compatible software, and containing the per-event information that is needed in most generic analyses. In contrast to the CMS NanoAOD which is derived from MiniAOD, this dataset is processed directly from the AOD format with code provided by the CMS open data group. Not all variables are available. Nevertheless, there is a large overlap in functionality and content between this format and the standard NanoAOD such that common analyses are possible.
The dataset is provided as a collection of root files. Run2012C_DoubleMuParked_merged.root contains the separate files merged into one file. This dataset was processsed from the primary dataset in AOD format linked below.
\n" + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "8TeV", + "type": "pp" + }, + "dataset_semantics_files": { + "json": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31129/Run2012C_DoubleMuParked_doc.json", + "url": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31129/Run2012C_DoubleMuParked_doc.html" + }, + "date_created": [ + "2012" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaod-run1", + "root" + ], + "number_events": 35455705, + "number_files": 74, + "size": 105982515 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12505" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31129", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "6030", + "type": "isChildOf" + } + ], + "title": "Run2012C_DoubleMuParked dataset in Run1 NanoAOD-like format", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "usage": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. See the instructions for getting started in", + "links": [ + { + "description": "Using Docker containers", + "url": "/docs/cms-guide-docker#nanoaod" + }, + { + "description": "Getting started with CMS NanoAOD", + "url": "/docs/cms-getting-started-nanoaod" + } + ] + }, + "validation": { + "description": "These data were processed from the primary dataset using only the validated runs.
\n" + } + }, + { + "abstract": { + "description": "Run2012C_MuOnia dataset in a NanoAOD-like research-level Ntuple format for CMS Run1 data, readable with bare ROOT or other ROOT-compatible software, and containing the per-event information that is needed in most generic analyses. In contrast to the CMS NanoAOD which is derived from MiniAOD, this dataset is processed directly from the AOD format with code provided by the CMS open data group. Not all variables are available. Nevertheless, there is a large overlap in functionality and content between this format and the standard NanoAOD such that common analyses are possible.
The dataset is provided as a collection of root files. Run2012C_MuOnia_merged.root contains the separate files merged into one file. This dataset was processsed from the primary dataset in AOD format linked below.
\n" + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "8TeV", + "type": "pp" + }, + "dataset_semantics_files": { + "json": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31130/Run2012C_MuOnia_doc.json", + "url": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31130/Run2012C_MuOnia_doc.html" + }, + "date_created": [ + "2012" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaod-run1", + "root" + ], + "number_events": 60197132, + "number_files": 110, + "size": 162710217 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12505" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31130", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "6042", + "type": "isChildOf" + } + ], + "title": "Run2012C_MuOnia dataset in Run1 NanoAOD-like format", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "usage": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. See the instructions for getting started in", + "links": [ + { + "description": "Using Docker containers", + "url": "/docs/cms-guide-docker#nanoaod" + }, + { + "description": "Getting started with CMS NanoAOD", + "url": "/docs/cms-getting-started-nanoaod" + } + ] + }, + "validation": { + "description": "These data were processed from the primary dataset using only the validated runs.
\n" + } + }, + { + "abstract": { + "description": "Run2012C_MuOniaParked dataset in a NanoAOD-like research-level Ntuple format for CMS Run1 data, readable with bare ROOT or other ROOT-compatible software, and containing the per-event information that is needed in most generic analyses. In contrast to the CMS NanoAOD which is derived from MiniAOD, this dataset is processed directly from the AOD format with code provided by the CMS open data group. Not all variables are available. Nevertheless, there is a large overlap in functionality and content between this format and the standard NanoAOD such that common analyses are possible.
The dataset is provided as a collection of root files. Run2012C_MuOniaParked_merged.root contains the separate files merged into one file. This dataset was processsed from the primary dataset in AOD format linked below.
\n" + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "8TeV", + "type": "pp" + }, + "dataset_semantics_files": { + "json": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31131/Run2012C_MuOniaParked_doc.json", + "url": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31131/Run2012C_MuOniaParked_doc.html" + }, + "date_created": [ + "2012" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaod-run1", + "root" + ], + "number_events": 126105289, + "number_files": 243, + "size": 326477179 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12505" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31131", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "6043", + "type": "isChildOf" + } + ], + "title": "Run2012C_MuOniaParked dataset in Run1 NanoAOD-like format", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "usage": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. See the instructions for getting started in", + "links": [ + { + "description": "Using Docker containers", + "url": "/docs/cms-guide-docker#nanoaod" + }, + { + "description": "Getting started with CMS NanoAOD", + "url": "/docs/cms-getting-started-nanoaod" + } + ] + }, + "validation": { + "description": "These data were processed from the primary dataset using only the validated runs.
\n" + } + }, + { + "abstract": { + "description": "Run2012C_SingleElectron dataset in a NanoAOD-like research-level Ntuple format for CMS Run1 data, readable with bare ROOT or other ROOT-compatible software, and containing the per-event information that is needed in most generic analyses. In contrast to the CMS NanoAOD which is derived from MiniAOD, this dataset is processed directly from the AOD format with code provided by the CMS open data group. Not all variables are available. Nevertheless, there is a large overlap in functionality and content between this format and the standard NanoAOD such that common analyses are possible.
The dataset is provided as a collection of root files. Run2012C_SingleElectron_merged.root contains the separate files merged into one file. This dataset was processsed from the primary dataset in AOD format linked below.
\n" + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "8TeV", + "type": "pp" + }, + "dataset_semantics_files": { + "json": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31132/Run2012C_SingleElectron_doc.json", + "url": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31132/Run2012C_SingleElectron_doc.html" + }, + "date_created": [ + "2012" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaod-run1", + "root" + ], + "number_events": 98626059, + "number_files": 194, + "size": 242416816 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12505" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31132", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "6046", + "type": "isChildOf" + } + ], + "title": "Run2012C_SingleElectron dataset in Run1 NanoAOD-like format", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "usage": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. See the instructions for getting started in", + "links": [ + { + "description": "Using Docker containers", + "url": "/docs/cms-guide-docker#nanoaod" + }, + { + "description": "Getting started with CMS NanoAOD", + "url": "/docs/cms-getting-started-nanoaod" + } + ] + }, + "validation": { + "description": "These data were processed from the primary dataset using only the validated runs.
\n" + } + }, + { + "abstract": { + "description": "Run2012C_SingleMu dataset in a NanoAOD-like research-level Ntuple format for CMS Run1 data, readable with bare ROOT or other ROOT-compatible software, and containing the per-event information that is needed in most generic analyses. In contrast to the CMS NanoAOD which is derived from MiniAOD, this dataset is processed directly from the AOD format with code provided by the CMS open data group. Not all variables are available. Nevertheless, there is a large overlap in functionality and content between this format and the standard NanoAOD such that common analyses are possible.
The dataset is provided as a collection of root files. Run2012C_SingleMu_merged.root contains the separate files merged into one file. This dataset was processsed from the primary dataset in AOD format linked below.
\n" + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "8TeV", + "type": "pp" + }, + "dataset_semantics_files": { + "json": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31133/Run2012C_SingleMu_doc.json", + "url": "/eos/opendata/cms/dataset-semantics/derived-data/NanoAODRun1/31133/Run2012C_SingleMu_doc.html" + }, + "date_created": [ + "2012" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaod-run1", + "root" + ], + "number_events": 85731835, + "number_files": 157, + "size": 215970803 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12505" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31133", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "6047", + "type": "isChildOf" + } + ], + "title": "Run2012C_SingleMu dataset in Run1 NanoAOD-like format", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "usage": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. See the instructions for getting started in", + "links": [ + { + "description": "Using Docker containers", + "url": "/docs/cms-guide-docker#nanoaod" + }, + { + "description": "Getting started with CMS NanoAOD", + "url": "/docs/cms-getting-started-nanoaod" + } + ] + }, + "validation": { + "description": "These data were processed from the primary dataset using only the validated runs.
\n" + } + } +] diff --git a/cernopendata/modules/fixtures/data/records/cms-derived-pfnano-2016.json b/cernopendata/modules/fixtures/data/records/cms-derived-pfnano-2016.json new file mode 100644 index 0000000000..e0c9071e71 --- /dev/null +++ b/cernopendata/modules/fixtures/data/records/cms-derived-pfnano-2016.json @@ -0,0 +1,1542 @@ +[ + { + "abstract": { + "description": "BTagCSV dataset in NanoAOD format enhanced with Particle Flow candidates, readable with bare ROOT or other ROOT-compatible software. In addition to the default NanoAOD content, it contains candidates from the Particle Flow algorithm. Their properties are available in the \"PFCands\" collection. This dataset was derived from the primary dataset in MiniAOD format linked below.
The list of validated runs, which must be applied to all analyses, either with the full validation or for an analysis requiring only muons, can be found in:
\n", + "links": [ + { + "recid": "14220" + }, + { + "recid": "14221" + } + ] + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "13TeV", + "type": "pp" + }, + "dataset_semantics_files": { + "json": "/eos/opendata/cms/dataset-semantics/derived-data/PFNano/31300/BTagCSV_doc.json", + "url": "/eos/opendata/cms/dataset-semantics/derived-data/PFNano/31300/BTagCSV_doc.html" + }, + "date_created": [ + "2016" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaod-pf", + "root" + ], + "number_events": 100826567, + "number_files": 468, + "size": 1297795768 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12504" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31300", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "30500", + "type": "isChildOf" + } + ], + "title": "BTagCSV dataset in NanoAOD format enhanced with Particle Flow candidates from RunG of 2016", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "usage": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. See the instructions for getting started in", + "links": [ + { + "description": "Using Docker containers", + "url": "/docs/cms-guide-docker#nanoaod" + }, + { + "description": "Getting started with CMS NanoAOD", + "url": "/docs/cms-getting-started-nanoaod" + } + ] + }, + "validation": { + "description": "These data were processed from the MiniAOD primary dataset. If not equal to the parent, the processed runs and lumi sections are available below.
\n" + } + }, + { + "abstract": { + "description": "BTagMu dataset in NanoAOD format enhanced with Particle Flow candidates, readable with bare ROOT or other ROOT-compatible software. In addition to the default NanoAOD content, it contains candidates from the Particle Flow algorithm. Their properties are available in the \"PFCands\" collection. This dataset was derived from the primary dataset in MiniAOD format linked below.
The list of validated runs, which must be applied to all analyses, either with the full validation or for an analysis requiring only muons, can be found in:
\n", + "links": [ + { + "recid": "14220" + }, + { + "recid": "14221" + } + ] + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "13TeV", + "type": "pp" + }, + "dataset_semantics_files": { + "json": "/eos/opendata/cms/dataset-semantics/derived-data/PFNano/31301/BTagMu_doc.json", + "url": "/eos/opendata/cms/dataset-semantics/derived-data/PFNano/31301/BTagMu_doc.html" + }, + "date_created": [ + "2016" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaod-pf", + "root" + ], + "number_events": 27536603, + "number_files": 91, + "size": 320657946 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12504" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31301", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "30501", + "type": "isChildOf" + } + ], + "title": "BTagMu dataset in NanoAOD format enhanced with Particle Flow candidates from RunG of 2016", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "usage": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. See the instructions for getting started in", + "links": [ + { + "description": "Using Docker containers", + "url": "/docs/cms-guide-docker#nanoaod" + }, + { + "description": "Getting started with CMS NanoAOD", + "url": "/docs/cms-getting-started-nanoaod" + } + ] + }, + "validation": { + "description": "These data were processed from the MiniAOD primary dataset. If not equal to the parent, the processed runs and lumi sections are available below.
\n" + } + }, + { + "abstract": { + "description": "Charmonium dataset in NanoAOD format enhanced with Particle Flow candidates, readable with bare ROOT or other ROOT-compatible software. In addition to the default NanoAOD content, it contains candidates from the Particle Flow algorithm. Their properties are available in the \"PFCands\" collection. This dataset was derived from the primary dataset in MiniAOD format linked below.
The list of validated runs, which must be applied to all analyses, either with the full validation or for an analysis requiring only muons, can be found in:
\n", + "links": [ + { + "recid": "14220" + }, + { + "recid": "14221" + } + ] + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "13TeV", + "type": "pp" + }, + "dataset_semantics_files": { + "json": "/eos/opendata/cms/dataset-semantics/derived-data/PFNano/31302/Charmonium_doc.json", + "url": "/eos/opendata/cms/dataset-semantics/derived-data/PFNano/31302/Charmonium_doc.html" + }, + "date_created": [ + "2016" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaod-pf", + "root" + ], + "number_events": 62080523, + "number_files": 205, + "size": 673570329 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12504" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31302", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "30502", + "type": "isChildOf" + } + ], + "title": "Charmonium dataset in NanoAOD format enhanced with Particle Flow candidates from RunG of 2016", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "usage": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. See the instructions for getting started in", + "links": [ + { + "description": "Using Docker containers", + "url": "/docs/cms-guide-docker#nanoaod" + }, + { + "description": "Getting started with CMS NanoAOD", + "url": "/docs/cms-getting-started-nanoaod" + } + ] + }, + "validation": { + "description": "These data were processed from the MiniAOD primary dataset. If not equal to the parent, the processed runs and lumi sections are available below.
\n" + } + }, + { + "abstract": { + "description": "DisplacedJet dataset in NanoAOD format enhanced with Particle Flow candidates, readable with bare ROOT or other ROOT-compatible software. In addition to the default NanoAOD content, it contains candidates from the Particle Flow algorithm. Their properties are available in the \"PFCands\" collection. This dataset was derived from the primary dataset in MiniAOD format linked below.
The list of validated runs, which must be applied to all analyses, either with the full validation or for an analysis requiring only muons, can be found in:
\n", + "links": [ + { + "recid": "14220" + }, + { + "recid": "14221" + } + ] + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "13TeV", + "type": "pp" + }, + "dataset_semantics_files": { + "json": "/eos/opendata/cms/dataset-semantics/derived-data/PFNano/31303/DisplacedJet_doc.json", + "url": "/eos/opendata/cms/dataset-semantics/derived-data/PFNano/31303/DisplacedJet_doc.html" + }, + "date_created": [ + "2016" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaod-pf", + "root" + ], + "number_events": 18289323, + "number_files": 79, + "size": 225286816 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12504" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31303", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "30503", + "type": "isChildOf" + } + ], + "title": "DisplacedJet dataset in NanoAOD format enhanced with Particle Flow candidates from RunG of 2016", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "usage": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. See the instructions for getting started in", + "links": [ + { + "description": "Using Docker containers", + "url": "/docs/cms-guide-docker#nanoaod" + }, + { + "description": "Getting started with CMS NanoAOD", + "url": "/docs/cms-getting-started-nanoaod" + } + ] + }, + "validation": { + "description": "These data were processed from the MiniAOD primary dataset. If not equal to the parent, the processed runs and lumi sections are available below.
\n" + } + }, + { + "abstract": { + "description": "DoubleEG dataset in NanoAOD format enhanced with Particle Flow candidates, readable with bare ROOT or other ROOT-compatible software. In addition to the default NanoAOD content, it contains candidates from the Particle Flow algorithm. Their properties are available in the \"PFCands\" collection. This dataset was derived from the primary dataset in MiniAOD format linked below.
The list of validated runs, which must be applied to all analyses, either with the full validation or for an analysis requiring only muons, can be found in:
\n", + "links": [ + { + "recid": "14220" + }, + { + "recid": "14221" + } + ] + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "13TeV", + "type": "pp" + }, + "dataset_semantics_files": { + "json": "/eos/opendata/cms/dataset-semantics/derived-data/PFNano/31304/DoubleEG_doc.json", + "url": "/eos/opendata/cms/dataset-semantics/derived-data/PFNano/31304/DoubleEG_doc.html" + }, + "date_created": [ + "2016" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaod-pf", + "root" + ], + "number_events": 78216635, + "number_files": 355, + "size": 893878988 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12504" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31304", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "30504", + "type": "isChildOf" + } + ], + "title": "DoubleEG dataset in NanoAOD format enhanced with Particle Flow candidates from RunG of 2016", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "usage": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. See the instructions for getting started in", + "links": [ + { + "description": "Using Docker containers", + "url": "/docs/cms-guide-docker#nanoaod" + }, + { + "description": "Getting started with CMS NanoAOD", + "url": "/docs/cms-getting-started-nanoaod" + } + ] + }, + "validation": { + "description": "These data were processed from the MiniAOD primary dataset. If not equal to the parent, the processed runs and lumi sections are available below.
\n", + "links": [ + { + "url": "link to processedLumis.json" + } + ] + } + }, + { + "abstract": { + "description": "DoubleMuon dataset in NanoAOD format enhanced with Particle Flow candidates, readable with bare ROOT or other ROOT-compatible software. In addition to the default NanoAOD content, it contains candidates from the Particle Flow algorithm. Their properties are available in the \"PFCands\" collection. This dataset was derived from the primary dataset in MiniAOD format linked below.
The list of validated runs, which must be applied to all analyses, either with the full validation or for an analysis requiring only muons, can be found in:
\n", + "links": [ + { + "recid": "14220" + }, + { + "recid": "14221" + } + ] + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "13TeV", + "type": "pp" + }, + "dataset_semantics_files": { + "json": "/eos/opendata/cms/dataset-semantics/derived-data/PFNano/31305/DoubleMuon_doc.json", + "url": "/eos/opendata/cms/dataset-semantics/derived-data/PFNano/31305/DoubleMuon_doc.html" + }, + "date_created": [ + "2016" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaod-pf", + "root" + ], + "number_events": 45235604, + "number_files": 151, + "size": 529653350 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12504" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31305", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "30505", + "type": "isChildOf" + } + ], + "title": "DoubleMuon dataset in NanoAOD format enhanced with Particle Flow candidates from RunG of 2016", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "usage": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. See the instructions for getting started in", + "links": [ + { + "description": "Using Docker containers", + "url": "/docs/cms-guide-docker#nanoaod" + }, + { + "description": "Getting started with CMS NanoAOD", + "url": "/docs/cms-getting-started-nanoaod" + } + ] + }, + "validation": { + "description": "These data were processed from the MiniAOD primary dataset. If not equal to the parent, the processed runs and lumi sections are available below.
\n" + } + }, + { + "abstract": { + "description": "DoubleMuonLowMass dataset in NanoAOD format enhanced with Particle Flow candidates, readable with bare ROOT or other ROOT-compatible software. In addition to the default NanoAOD content, it contains candidates from the Particle Flow algorithm. Their properties are available in the \"PFCands\" collection. This dataset was derived from the primary dataset in MiniAOD format linked below.
The list of validated runs, which must be applied to all analyses, either with the full validation or for an analysis requiring only muons, can be found in:
\n", + "links": [ + { + "recid": "14220" + }, + { + "recid": "14221" + } + ] + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "13TeV", + "type": "pp" + }, + "dataset_semantics_files": { + "json": "/eos/opendata/cms/dataset-semantics/derived-data/PFNano/31306/DoubleMuonLowMass_doc.json", + "url": "/eos/opendata/cms/dataset-semantics/derived-data/PFNano/31306/DoubleMuonLowMass_doc.html" + }, + "date_created": [ + "2016" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaod-pf", + "root" + ], + "number_events": 45367551, + "number_files": 133, + "size": 498873700 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12504" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31306", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "30506", + "type": "isChildOf" + } + ], + "title": "DoubleMuonLowMass dataset in NanoAOD format enhanced with Particle Flow candidates from RunG of 2016", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "usage": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. See the instructions for getting started in", + "links": [ + { + "description": "Using Docker containers", + "url": "/docs/cms-guide-docker#nanoaod" + }, + { + "description": "Getting started with CMS NanoAOD", + "url": "/docs/cms-getting-started-nanoaod" + } + ] + }, + "validation": { + "description": "These data were processed from the MiniAOD primary dataset. If not equal to the parent, the processed runs and lumi sections are available below.
\n" + } + }, + { + "abstract": { + "description": "HTMHT dataset in NanoAOD format enhanced with Particle Flow candidates, readable with bare ROOT or other ROOT-compatible software. In addition to the default NanoAOD content, it contains candidates from the Particle Flow algorithm. Their properties are available in the \"PFCands\" collection. This dataset was derived from the primary dataset in MiniAOD format linked below.
The list of validated runs, which must be applied to all analyses, either with the full validation or for an analysis requiring only muons, can be found in:
\n", + "links": [ + { + "recid": "14220" + }, + { + "recid": "14221" + } + ] + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "13TeV", + "type": "pp" + }, + "dataset_semantics_files": { + "json": "/eos/opendata/cms/dataset-semantics/derived-data/PFNano/31307/HTMHT_doc.json", + "url": "/eos/opendata/cms/dataset-semantics/derived-data/PFNano/31307/HTMHT_doc.html" + }, + "date_created": [ + "2016" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaod-pf", + "root" + ], + "number_events": 32367421, + "number_files": 143, + "size": 402556267 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12504" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31307", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "30507", + "type": "isChildOf" + } + ], + "title": "HTMHT dataset in NanoAOD format enhanced with Particle Flow candidates from RunG of 2016", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "usage": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. See the instructions for getting started in", + "links": [ + { + "description": "Using Docker containers", + "url": "/docs/cms-guide-docker#nanoaod" + }, + { + "description": "Getting started with CMS NanoAOD", + "url": "/docs/cms-getting-started-nanoaod" + } + ] + }, + "validation": { + "description": "These data were processed from the MiniAOD primary dataset. If not equal to the parent, the processed runs and lumi sections are available below.
\n" + } + }, + { + "abstract": { + "description": "JetHT dataset in NanoAOD format enhanced with Particle Flow candidates, readable with bare ROOT or other ROOT-compatible software. In addition to the default NanoAOD content, it contains candidates from the Particle Flow algorithm. Their properties are available in the \"PFCands\" collection. This dataset was derived from the primary dataset in MiniAOD format linked below.
The list of validated runs, which must be applied to all analyses, either with the full validation or for an analysis requiring only muons, can be found in:
\n", + "links": [ + { + "recid": "14220" + }, + { + "recid": "14221" + } + ] + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "13TeV", + "type": "pp" + }, + "dataset_semantics_files": { + "json": "/eos/opendata/cms/dataset-semantics/derived-data/PFNano/31308/JetHT_doc.json", + "url": "/eos/opendata/cms/dataset-semantics/derived-data/PFNano/31308/JetHT_doc.html" + }, + "date_created": [ + "2016" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaod-pf", + "root" + ], + "number_events": 120517157, + "number_files": 842, + "size": 1486368460 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12504" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31308", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "30508", + "type": "isChildOf" + } + ], + "title": "JetHT dataset in NanoAOD format enhanced with Particle Flow candidates from RunG of 2016", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "usage": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. See the instructions for getting started in", + "links": [ + { + "description": "Using Docker containers", + "url": "/docs/cms-guide-docker#nanoaod" + }, + { + "description": "Getting started with CMS NanoAOD", + "url": "/docs/cms-getting-started-nanoaod" + } + ] + }, + "validation": { + "description": "These data were processed from the MiniAOD primary dataset. If not equal to the parent, the processed runs and lumi sections are available below.
\n", + "links": [ + { + "url": "link to processedLumis.json" + } + ] + } + }, + { + "abstract": { + "description": "MET dataset in NanoAOD format enhanced with Particle Flow candidates, readable with bare ROOT or other ROOT-compatible software. In addition to the default NanoAOD content, it contains candidates from the Particle Flow algorithm. Their properties are available in the \"PFCands\" collection. This dataset was derived from the primary dataset in MiniAOD format linked below.
The list of validated runs, which must be applied to all analyses, either with the full validation or for an analysis requiring only muons, can be found in:
\n", + "links": [ + { + "recid": "14220" + }, + { + "recid": "14221" + } + ] + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "13TeV", + "type": "pp" + }, + "dataset_semantics_files": { + "json": "/eos/opendata/cms/dataset-semantics/derived-data/PFNano/31309/MET_doc.json", + "url": "/eos/opendata/cms/dataset-semantics/derived-data/PFNano/31309/MET_doc.html" + }, + "date_created": [ + "2016" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaod-pf", + "root" + ], + "number_events": 26974131, + "number_files": 109, + "size": 339156181 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12504" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31309", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "30509", + "type": "isChildOf" + } + ], + "title": "MET dataset in NanoAOD format enhanced with Particle Flow candidates from RunG of 2016", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "usage": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. See the instructions for getting started in", + "links": [ + { + "description": "Using Docker containers", + "url": "/docs/cms-guide-docker#nanoaod" + }, + { + "description": "Getting started with CMS NanoAOD", + "url": "/docs/cms-getting-started-nanoaod" + } + ] + }, + "validation": { + "description": "These data were processed from the MiniAOD primary dataset. If not equal to the parent, the processed runs and lumi sections are available below.
\n" + } + }, + { + "abstract": { + "description": "MuOnia dataset in NanoAOD format enhanced with Particle Flow candidates, readable with bare ROOT or other ROOT-compatible software. In addition to the default NanoAOD content, it contains candidates from the Particle Flow algorithm. Their properties are available in the \"PFCands\" collection. This dataset was derived from the primary dataset in MiniAOD format linked below.
The list of validated runs, which must be applied to all analyses, either with the full validation or for an analysis requiring only muons, can be found in:
\n", + "links": [ + { + "recid": "14220" + }, + { + "recid": "14221" + } + ] + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "13TeV", + "type": "pp" + }, + "dataset_semantics_files": { + "json": "/eos/opendata/cms/dataset-semantics/derived-data/PFNano/31310/MuOnia_doc.json", + "url": "/eos/opendata/cms/dataset-semantics/derived-data/PFNano/31310/MuOnia_doc.html" + }, + "date_created": [ + "2016" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaod-pf", + "root" + ], + "number_events": 35301548, + "number_files": 127, + "size": 379335688 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12504" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31310", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "30510", + "type": "isChildOf" + } + ], + "title": "MuOnia dataset in NanoAOD format enhanced with Particle Flow candidates from RunG of 2016", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "usage": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. See the instructions for getting started in", + "links": [ + { + "description": "Using Docker containers", + "url": "/docs/cms-guide-docker#nanoaod" + }, + { + "description": "Getting started with CMS NanoAOD", + "url": "/docs/cms-getting-started-nanoaod" + } + ] + }, + "validation": { + "description": "These data were processed from the MiniAOD primary dataset. If not equal to the parent, the processed runs and lumi sections are available below.
\n" + } + }, + { + "abstract": { + "description": "MuonEG dataset in NanoAOD format enhanced with Particle Flow candidates, readable with bare ROOT or other ROOT-compatible software. In addition to the default NanoAOD content, it contains candidates from the Particle Flow algorithm. Their properties are available in the \"PFCands\" collection. This dataset was derived from the primary dataset in MiniAOD format linked below.
The list of validated runs, which must be applied to all analyses, either with the full validation or for an analysis requiring only muons, can be found in:
\n", + "links": [ + { + "recid": "14220" + }, + { + "recid": "14221" + } + ] + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "13TeV", + "type": "pp" + }, + "dataset_semantics_files": { + "json": "/eos/opendata/cms/dataset-semantics/derived-data/PFNano/31311/MuonEG_doc.json", + "url": "/eos/opendata/cms/dataset-semantics/derived-data/PFNano/31311/MuonEG_doc.html" + }, + "date_created": [ + "2016" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaod-pf", + "root" + ], + "number_events": 33854612, + "number_files": 119, + "size": 405546762 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12504" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31311", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "30511", + "type": "isChildOf" + } + ], + "title": "MuonEG dataset in NanoAOD format enhanced with Particle Flow candidates from RunG of 2016", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "usage": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. See the instructions for getting started in", + "links": [ + { + "description": "Using Docker containers", + "url": "/docs/cms-guide-docker#nanoaod" + }, + { + "description": "Getting started with CMS NanoAOD", + "url": "/docs/cms-getting-started-nanoaod" + } + ] + }, + "validation": { + "description": "These data were processed from the MiniAOD primary dataset. If not equal to the parent, the processed runs and lumi sections are available below.
\n" + } + }, + { + "abstract": { + "description": "SingleElectron dataset in NanoAOD format enhanced with Particle Flow candidates, readable with bare ROOT or other ROOT-compatible software. In addition to the default NanoAOD content, it contains candidates from the Particle Flow algorithm. Their properties are available in the \"PFCands\" collection. This dataset was derived from the primary dataset in MiniAOD format linked below.
The list of validated runs, which must be applied to all analyses, either with the full validation or for an analysis requiring only muons, can be found in:
\n", + "links": [ + { + "recid": "14220" + }, + { + "recid": "14221" + } + ] + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "13TeV", + "type": "pp" + }, + "dataset_semantics_files": { + "json": "/eos/opendata/cms/dataset-semantics/derived-data/PFNano/31312/SingleElectron_doc.json", + "url": "/eos/opendata/cms/dataset-semantics/derived-data/PFNano/31312/SingleElectron_doc.html" + }, + "date_created": [ + "2016" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaod-pf", + "root" + ], + "number_events": 153363109, + "number_files": 556, + "size": 1722259073 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12504" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31312", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "30512", + "type": "isChildOf" + } + ], + "title": "SingleElectron dataset in NanoAOD format enhanced with Particle Flow candidates from RunG of 2016", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "usage": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. See the instructions for getting started in", + "links": [ + { + "description": "Using Docker containers", + "url": "/docs/cms-guide-docker#nanoaod" + }, + { + "description": "Getting started with CMS NanoAOD", + "url": "/docs/cms-getting-started-nanoaod" + } + ] + }, + "validation": { + "description": "These data were processed from the MiniAOD primary dataset. If not equal to the parent, the processed runs and lumi sections are available below.
\n" + } + }, + { + "abstract": { + "description": "SingleMuon dataset in NanoAOD format enhanced with Particle Flow candidates, readable with bare ROOT or other ROOT-compatible software. In addition to the default NanoAOD content, it contains candidates from the Particle Flow algorithm. Their properties are available in the \"PFCands\" collection. This dataset was derived from the primary dataset in MiniAOD format linked below.
The list of validated runs, which must be applied to all analyses, either with the full validation or for an analysis requiring only muons, can be found in:
\n", + "links": [ + { + "recid": "14220" + }, + { + "recid": "14221" + } + ] + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "13TeV", + "type": "pp" + }, + "dataset_semantics_files": { + "json": "/eos/opendata/cms/dataset-semantics/derived-data/PFNano/31313/SingleMuon_doc.json", + "url": "/eos/opendata/cms/dataset-semantics/derived-data/PFNano/31313/SingleMuon_doc.html" + }, + "date_created": [ + "2016" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaod-pf", + "root" + ], + "number_events": 149916849, + "number_files": 381, + "size": 1658003182 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12504" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31313", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "30513", + "type": "isChildOf" + } + ], + "title": "SingleMuon dataset in NanoAOD format enhanced with Particle Flow candidates from RunG of 2016", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "usage": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. See the instructions for getting started in", + "links": [ + { + "description": "Using Docker containers", + "url": "/docs/cms-guide-docker#nanoaod" + }, + { + "description": "Getting started with CMS NanoAOD", + "url": "/docs/cms-getting-started-nanoaod" + } + ] + }, + "validation": { + "description": "These data were processed from the MiniAOD primary dataset. If not equal to the parent, the processed runs and lumi sections are available below.
\n" + } + }, + { + "abstract": { + "description": "SinglePhoton dataset in NanoAOD format enhanced with Particle Flow candidates, readable with bare ROOT or other ROOT-compatible software. In addition to the default NanoAOD content, it contains candidates from the Particle Flow algorithm. Their properties are available in the \"PFCands\" collection. This dataset was derived from the primary dataset in MiniAOD format linked below.
The list of validated runs, which must be applied to all analyses, either with the full validation or for an analysis requiring only muons, can be found in:
\n", + "links": [ + { + "recid": "14220" + }, + { + "recid": "14221" + } + ] + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "13TeV", + "type": "pp" + }, + "dataset_semantics_files": { + "json": "/eos/opendata/cms/dataset-semantics/derived-data/PFNano/31314/SinglePhoton_doc.json", + "url": "/eos/opendata/cms/dataset-semantics/derived-data/PFNano/31314/SinglePhoton_doc.html" + }, + "date_created": [ + "2016" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaod-pf", + "root" + ], + "number_events": 33288854, + "number_files": 122, + "size": 378974160 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12504" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31314", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "30514", + "type": "isChildOf" + } + ], + "title": "SinglePhoton dataset in NanoAOD format enhanced with Particle Flow candidates from RunG of 2016", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "usage": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. See the instructions for getting started in", + "links": [ + { + "description": "Using Docker containers", + "url": "/docs/cms-guide-docker#nanoaod" + }, + { + "description": "Getting started with CMS NanoAOD", + "url": "/docs/cms-getting-started-nanoaod" + } + ] + }, + "validation": { + "description": "These data were processed from the MiniAOD primary dataset. If not equal to the parent, the processed runs and lumi sections are available below.
\n" + } + }, + { + "abstract": { + "description": "Tau dataset in NanoAOD format enhanced with Particle Flow candidates, readable with bare ROOT or other ROOT-compatible software. In addition to the default NanoAOD content, it contains candidates from the Particle Flow algorithm. Their properties are available in the \"PFCands\" collection. This dataset was derived from the primary dataset in MiniAOD format linked below.
The list of validated runs, which must be applied to all analyses, either with the full validation or for an analysis requiring only muons, can be found in:
\n", + "links": [ + { + "recid": "14220" + }, + { + "recid": "14221" + } + ] + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "13TeV", + "type": "pp" + }, + "dataset_semantics_files": { + "json": "/eos/opendata/cms/dataset-semantics/derived-data/PFNano/31315/Tau_doc.json", + "url": "/eos/opendata/cms/dataset-semantics/derived-data/PFNano/31315/Tau_doc.html" + }, + "date_created": [ + "2016" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaod-pf", + "root" + ], + "number_events": 79578661, + "number_files": 370, + "size": 922922704 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12504" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31315", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "30515", + "type": "isChildOf" + } + ], + "title": "Tau dataset in NanoAOD format enhanced with Particle Flow candidates from RunG of 2016", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "usage": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. See the instructions for getting started in", + "links": [ + { + "description": "Using Docker containers", + "url": "/docs/cms-guide-docker#nanoaod" + }, + { + "description": "Getting started with CMS NanoAOD", + "url": "/docs/cms-getting-started-nanoaod" + } + ] + }, + "validation": { + "description": "These data were processed from the MiniAOD primary dataset. If not equal to the parent, the processed runs and lumi sections are available below.
\n" + } + }, + { + "abstract": { + "description": "ZeroBias dataset in NanoAOD format enhanced with Particle Flow candidates, readable with bare ROOT or other ROOT-compatible software. In addition to the default NanoAOD content, it contains candidates from the Particle Flow algorithm. Their properties are available in the \"PFCands\" collection. This dataset was derived from the primary dataset in MiniAOD format linked below.
The list of validated runs, which must be applied to all analyses, either with the full validation or for an analysis requiring only muons, can be found in:
\n", + "links": [ + { + "recid": "14220" + }, + { + "recid": "14221" + } + ] + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "13TeV", + "type": "pp" + }, + "dataset_semantics_files": { + "json": "/eos/opendata/cms/dataset-semantics/derived-data/PFNano/31316/ZeroBias_doc.json", + "url": "/eos/opendata/cms/dataset-semantics/derived-data/PFNano/31316/ZeroBias_doc.html" + }, + "date_created": [ + "2016" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaod-pf", + "root" + ], + "number_events": 27123616, + "number_files": 67, + "size": 219858693 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12504" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31316", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "30516", + "type": "isChildOf" + } + ], + "title": "ZeroBias dataset in NanoAOD format enhanced with Particle Flow candidates from RunG of 2016", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "usage": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. See the instructions for getting started in", + "links": [ + { + "description": "Using Docker containers", + "url": "/docs/cms-guide-docker#nanoaod" + }, + { + "description": "Getting started with CMS NanoAOD", + "url": "/docs/cms-getting-started-nanoaod" + } + ] + }, + "validation": { + "description": "These data were processed from the MiniAOD primary dataset. If not equal to the parent, the processed runs and lumi sections are available below.
\n" + } + } +] diff --git a/cernopendata/modules/fixtures/data/records/cms-derived-poet-2015.json b/cernopendata/modules/fixtures/data/records/cms-derived-poet-2015.json new file mode 100644 index 0000000000..76c457781c --- /dev/null +++ b/cernopendata/modules/fixtures/data/records/cms-derived-poet-2015.json @@ -0,0 +1,4236 @@ +[ + { + "abstract": { + "description": "This dataset contains information extracted from different physics objects from the 2015 /SingleElectron/Run2015D-08Jun2016-v1/MINIAOD dataset, readable with bare ROOT or other ROOT-compatible software. It is part of the datasets produced for the CMS open data workshop tutorials, and not all events in the parent dataset were necessarily processed.
It is provided in two different structures: a collection of root files as a direct output of POET (separate trees for each object), and \"_flat.root\" files \"flattened\" to a single tree, as required when used in columnar analysis with e.g. awkward array and uproot. Run2015D_SingleElectron_flat.root has the separate \"_flat.root\" files merged into one file. This dataset was derived from the primary dataset in MiniAOD format linked below.
\n" + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "13TeV", + "type": "pp" + }, + "date_created": [ + "2015" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaod-poet", + "root" + ], + "number_events": 14393070, + "number_files": 149, + "size": 9924117 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12502" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31000", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "24120", + "type": "isChildOf" + } + ], + "title": "Run2015D_SingleElectron dataset in reduced NanoAOD-like format", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "use_with": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. A tutorial lesson is available in", + "links": [ + { + "url": "https://cms-opendata-workshop.github.io/workshop2022-lesson-ttbarljetsanalysis/" + } + ] + }, + "validation": { + "description": "These data were processed from the primary dataset using only the validated runs. No further validation was done for the output.
\n" + } + }, + { + "abstract": { + "description": "This dataset contains information extracted from different physics objects from the 2015 /SingleMuon/Run2015D-16Dec2015-v1/MINIAOD dataset, readable with bare ROOT or other ROOT-compatible software. It is part of the datasets produced for the CMS open data workshop tutorials, and not all events in the parent dataset were necessarily processed.
It is provided in two different structures: a collection of root files as a direct output of POET (separate trees for each object), and \"_flat.root\" files \"flattened\" to a single tree, as required when used in columnar analysis with e.g. awkward array and uproot. Run2015D_SingleMuon_flat.root has the separate \"_flat.root\" files merged into one file. This dataset was derived from the primary dataset in MiniAOD format linked below.
\n" + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "13TeV", + "type": "pp" + }, + "date_created": [ + "2015" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaod-poet", + "root" + ], + "number_events": 22225949, + "number_files": 95, + "size": 14313793 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12502" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31001", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "24119", + "type": "isChildOf" + } + ], + "title": "Run2015D_SingleMuon dataset in reduced NanoAOD-like format", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "use_with": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. A tutorial lesson is available in", + "links": [ + { + "url": "https://cms-opendata-workshop.github.io/workshop2022-lesson-ttbarljetsanalysis/" + } + ] + }, + "validation": { + "description": "These data were processed from the primary dataset using only the validated runs. No further validation was done for the output.
\n" + } + }, + { + "abstract": { + "description": "This dataset contains information extracted from different physics objects from the 2015 /BprimeBprime_M-1200_TuneCUETP8M1_13TeV-madgraph-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM dataset, readable with bare ROOT or other ROOT-compatible software. It is part of the datasets produced for the CMS open data workshop tutorials, and not all events in the parent dataset were necessarily processed.
It is provided in two different structures: a collection of root files as a direct output of POET (separate trees for each object), and \"_flat.root\" files \"flattened\" to a single tree, as required when used in columnar analysis with e.g. awkward array and uproot. RunIIFall15MiniAODv2_BprimeBprime_M-1200_TuneCUETP8M1_13TeV-madgraph-pythia8_flat.root has the separate \"_flat.root\" files merged into one file. This dataset was derived from the primary dataset in MiniAOD format linked below.
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\n" + } + }, + { + "abstract": { + "description": "This dataset contains information extracted from different physics objects from the 2015 /WJetsToLNu_HT-2500ToInf_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM dataset, readable with bare ROOT or other ROOT-compatible software. It is part of the datasets produced for the CMS open data workshop tutorials, and not all events in the parent dataset were necessarily processed.
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\n" + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "13TeV", + "type": "pp" + }, + "date_created": [ + "2015" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaodsim-poet", + "root" + ], + "number_events": 87234, + "number_files": 3, + "size": 195797 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12502" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31050", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "20537", + "type": "isChildOf" + } + ], + "title": "WJetsToLNu_HT-2500ToInf_TuneCUETP8M1_13TeV-madgraphMLM-pythia8 dataset in reduced NanoAOD-like format", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "use_with": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. A tutorial lesson is available in", + "links": [ + { + "url": "https://cms-opendata-workshop.github.io/workshop2022-lesson-ttbarljetsanalysis/" + } + ] + }, + "validation": { + "description": "These data were processed from the primary dataset using only the validated runs. No further validation was done for the output.
\n" + } + }, + { + "abstract": { + "description": "This dataset contains information extracted from different physics objects from the 2015 /WJetsToLNu_HT-400To600_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM dataset, readable with bare ROOT or other ROOT-compatible software. It is part of the datasets produced for the CMS open data workshop tutorials, and not all events in the parent dataset were necessarily processed.
It is provided in two different structures: a collection of root files as a direct output of POET (separate trees for each object), and \"_flat.root\" files \"flattened\" to a single tree, as required when used in columnar analysis with e.g. awkward array and uproot. RunIIFall15MiniAODv2_WJetsToLNu_HT-400To600_TuneCUETP8M1_13TeV-madgraphMLM-pythia8_flat.root has the separate \"_flat.root\" files merged into one file. This dataset was derived from the primary dataset in MiniAOD format linked below.
\n" + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "13TeV", + "type": "pp" + }, + "date_created": [ + "2015" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaodsim-poet", + "root" + ], + "number_events": 588679, + "number_files": 3, + "size": 818463 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12502" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31051", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "20539", + "type": "isChildOf" + } + ], + "title": "WJetsToLNu_HT-400To600_TuneCUETP8M1_13TeV-madgraphMLM-pythia8 dataset in reduced NanoAOD-like format", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "use_with": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. A tutorial lesson is available in", + "links": [ + { + "url": "https://cms-opendata-workshop.github.io/workshop2022-lesson-ttbarljetsanalysis/" + } + ] + }, + "validation": { + "description": "These data were processed from the primary dataset using only the validated runs. No further validation was done for the output.
\n" + } + }, + { + "abstract": { + "description": "This dataset contains information extracted from different physics objects from the 2015 /WJetsToLNu_HT-600To800_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM dataset, readable with bare ROOT or other ROOT-compatible software. It is part of the datasets produced for the CMS open data workshop tutorials, and not all events in the parent dataset were necessarily processed.
It is provided in two different structures: a collection of root files as a direct output of POET (separate trees for each object), and \"_flat.root\" files \"flattened\" to a single tree, as required when used in columnar analysis with e.g. awkward array and uproot. RunIIFall15MiniAODv2_WJetsToLNu_HT-600To800_TuneCUETP8M1_13TeV-madgraphMLM-pythia8_flat.root has the separate \"_flat.root\" files merged into one file. This dataset was derived from the primary dataset in MiniAOD format linked below.
\n" + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "13TeV", + "type": "pp" + }, + "date_created": [ + "2015" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaodsim-poet", + "root" + ], + "number_events": 1195542, + "number_files": 5, + "size": 1861935 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12502" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31052", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "20541", + "type": "isChildOf" + } + ], + "title": "WJetsToLNu_HT-600To800_TuneCUETP8M1_13TeV-madgraphMLM-pythia8 dataset in reduced NanoAOD-like format", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "use_with": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. A tutorial lesson is available in", + "links": [ + { + "url": "https://cms-opendata-workshop.github.io/workshop2022-lesson-ttbarljetsanalysis/" + } + ] + }, + "validation": { + "description": "These data were processed from the primary dataset using only the validated runs. No further validation was done for the output.
\n" + } + }, + { + "abstract": { + "description": "This dataset contains information extracted from different physics objects from the 2015 /WJetsToLNu_HT-800To1200_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM dataset, readable with bare ROOT or other ROOT-compatible software. It is part of the datasets produced for the CMS open data workshop tutorials, and not all events in the parent dataset were necessarily processed.
It is provided in two different structures: a collection of root files as a direct output of POET (separate trees for each object), and \"_flat.root\" files \"flattened\" to a single tree, as required when used in columnar analysis with e.g. awkward array and uproot. RunIIFall15MiniAODv2_WJetsToLNu_HT-800To1200_TuneCUETP8M1_13TeV-madgraphMLM-pythia8_flat.root has the separate \"_flat.root\" files merged into one file. This dataset was derived from the primary dataset in MiniAOD format linked below.
\n" + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "13TeV", + "type": "pp" + }, + "date_created": [ + "2015" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaodsim-poet", + "root" + ], + "number_events": 512924, + "number_files": 3, + "size": 868184 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12502" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31053", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "20544", + "type": "isChildOf" + } + ], + "title": "WJetsToLNu_HT-800To1200_TuneCUETP8M1_13TeV-madgraphMLM-pythia8 dataset in reduced NanoAOD-like format", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "use_with": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. A tutorial lesson is available in", + "links": [ + { + "url": "https://cms-opendata-workshop.github.io/workshop2022-lesson-ttbarljetsanalysis/" + } + ] + }, + "validation": { + "description": "These data were processed from the primary dataset using only the validated runs. No further validation was done for the output.
\n" + } + }, + { + "abstract": { + "description": "This dataset contains information extracted from different physics objects from the 2015 /WJetsToLNu_TuneCUETP8M1_13TeV-amcatnloFXFX-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12_ext4-v1/MINIAODSIM dataset, readable with bare ROOT or other ROOT-compatible software. It is part of the datasets produced for the CMS open data workshop tutorials, and not all events in the parent dataset were necessarily processed.
It is provided in two different structures: a collection of root files as a direct output of POET (separate trees for each object), and \"_flat.root\" files \"flattened\" to a single tree, as required when used in columnar analysis with e.g. awkward array and uproot. RunIIFall15MiniAODv2_WJetsToLNu_TuneCUETP8M1_13TeV-amcatnloFXFX-pythia8_flat.root has the separate \"_flat.root\" files merged into one file. This dataset was derived from the primary dataset in MiniAOD format linked below.
\n" + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "13TeV", + "type": "pp" + }, + "date_created": [ + "2015" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaodsim-poet", + "root" + ], + "number_events": 38597998, + "number_files": 229, + "size": 29796842 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12502" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31054", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "20548", + "type": "isChildOf" + } + ], + "title": "WJetsToLNu_TuneCUETP8M1_13TeV-amcatnloFXFX-pythia8 dataset in reduced NanoAOD-like format", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "use_with": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. A tutorial lesson is available in", + "links": [ + { + "url": "https://cms-opendata-workshop.github.io/workshop2022-lesson-ttbarljetsanalysis/" + } + ] + }, + "validation": { + "description": "These data were processed from the primary dataset using only the validated runs. No further validation was done for the output.
\n" + } + }, + { + "abstract": { + "description": "This dataset contains information extracted from different physics objects from the 2015 /WW_TuneCUETP8M1_13TeV-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM dataset, readable with bare ROOT or other ROOT-compatible software. It is part of the datasets produced for the CMS open data workshop tutorials, and not all events in the parent dataset were necessarily processed.
It is provided in two different structures: a collection of root files as a direct output of POET (separate trees for each object), and \"_flat.root\" files \"flattened\" to a single tree, as required when used in columnar analysis with e.g. awkward array and uproot. RunIIFall15MiniAODv2_WW_TuneCUETP8M1_13TeV-pythia8_flat.root has the separate \"_flat.root\" files merged into one file. This dataset was derived from the primary dataset in MiniAOD format linked below.
\n" + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "13TeV", + "type": "pp" + }, + "date_created": [ + "2015" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaodsim-poet", + "root" + ], + "number_events": 162205, + "number_files": 3, + "size": 155473 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12502" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31055", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "20677", + "type": "isChildOf" + } + ], + "title": "WW_TuneCUETP8M1_13TeV-pythia8 dataset in reduced NanoAOD-like format", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "use_with": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. A tutorial lesson is available in", + "links": [ + { + "url": "https://cms-opendata-workshop.github.io/workshop2022-lesson-ttbarljetsanalysis/" + } + ] + }, + "validation": { + "description": "These data were processed from the primary dataset using only the validated runs. No further validation was done for the output.
\n" + } + }, + { + "abstract": { + "description": "This dataset contains information extracted from different physics objects from the 2015 /WZ_TuneCUETP8M1_13TeV-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM dataset, readable with bare ROOT or other ROOT-compatible software. It is part of the datasets produced for the CMS open data workshop tutorials, and not all events in the parent dataset were necessarily processed.
It is provided in two different structures: a collection of root files as a direct output of POET (separate trees for each object), and \"_flat.root\" files \"flattened\" to a single tree, as required when used in columnar analysis with e.g. awkward array and uproot. RunIIFall15MiniAODv2_WZ_TuneCUETP8M1_13TeV-pythia8_flat.root has the separate \"_flat.root\" files merged into one file. This dataset was derived from the primary dataset in MiniAOD format linked below.
\n" + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "13TeV", + "type": "pp" + }, + "date_created": [ + "2015" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaodsim-poet", + "root" + ], + "number_events": 128477, + "number_files": 3, + "size": 130079 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12502" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31056", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "20690", + "type": "isChildOf" + } + ], + "title": "WZ_TuneCUETP8M1_13TeV-pythia8 dataset in reduced NanoAOD-like format", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "use_with": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. A tutorial lesson is available in", + "links": [ + { + "url": "https://cms-opendata-workshop.github.io/workshop2022-lesson-ttbarljetsanalysis/" + } + ] + }, + "validation": { + "description": "These data were processed from the primary dataset using only the validated runs. No further validation was done for the output.
\n" + } + }, + { + "abstract": { + "description": "This dataset contains information extracted from different physics objects from the 2015 /ZZ_TuneCUETP8M1_13TeV-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM dataset, readable with bare ROOT or other ROOT-compatible software. It is part of the datasets produced for the CMS open data workshop tutorials, and not all events in the parent dataset were necessarily processed.
It is provided in two different structures: a collection of root files as a direct output of POET (separate trees for each object), and \"_flat.root\" files \"flattened\" to a single tree, as required when used in columnar analysis with e.g. awkward array and uproot. RunIIFall15MiniAODv2_ZZ_TuneCUETP8M1_13TeV-pythia8_flat.root has the separate \"_flat.root\" files merged into one file. This dataset was derived from the primary dataset in MiniAOD format linked below.
\n" + }, + "accelerator": "CERN-LHC", + "authors": [ + { + "name": "CMS Open Data group" + } + ], + "collections": [ + "CMS-Derived-Datasets" + ], + "collision_information": { + "energy": "13TeV", + "type": "pp" + }, + "date_created": [ + "2015" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "nanoaodsim-poet", + "root" + ], + "number_events": 90219, + "number_files": 3, + "size": 101077 + }, + "experiment": [ + "CMS" + ], + "files": [], + "license": { + "attribution": "CC0" + }, + "methodology": { + "description": "The dataset was produced with the software available in the record linked below.", + "links": [ + { + "recid": "12502" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "31057", + "relations": [ + { + "description": "This dataset was derived from:", + "recid": "21600", + "type": "isChildOf" + } + ], + "title": "ZZ_TuneCUETP8M1_13TeV-pythia8 dataset in reduced NanoAOD-like format", + "type": { + "primary": "Dataset", + "secondary": [ + "Derived" + ] + }, + "use_with": { + "description": "You can access these data through XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. A tutorial lesson is available in", + "links": [ + { + "url": "https://cms-opendata-workshop.github.io/workshop2022-lesson-ttbarljetsanalysis/" + } + ] + }, + "validation": { + "description": "These data were processed from the primary dataset using only the validated runs. No further validation was done for the output.
\n" + } + } +] diff --git a/cernopendata/modules/fixtures/data/records/cms-primary-datasets-Run2016.json b/cernopendata/modules/fixtures/data/records/cms-primary-datasets-Run2016.json index 380e041dea..b43c09183a 100644 --- a/cernopendata/modules/fixtures/data/records/cms-primary-datasets-Run2016.json +++ b/cernopendata/modules/fixtures/data/records/cms-primary-datasets-Run2016.json @@ -133,7 +133,7 @@ "attribution": "CC0" }, "methodology": { - "description": "Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / PAT
This primary MINIAOD dataset was processed from the RAW dataset by the following step:
Step: PAT
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016G-BTagCSV-UL2016_MiniAODv2\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DoubleJet90_Double30_DoubleBTagCSV_p087
HLT_DoubleJet90_Double30_TripleBTagCSV_p087
HLT_DoubleJetsC100_DoubleBTagCSV_p014_DoublePFJetsC100MaxDeta1p6
HLT_DoubleJetsC100_DoubleBTagCSV_p026_DoublePFJetsC160
HLT_DoubleJetsC100_SingleBTagCSV_p014_SinglePFJetC350
HLT_DoubleJetsC100_SingleBTagCSV_p014
HLT_DoubleJetsC100_SingleBTagCSV_p026_SinglePFJetC350
HLT_DoubleJetsC100_SingleBTagCSV_p026
HLT_DoubleJetsC112_DoubleBTagCSV_p014_DoublePFJetsC112MaxDeta1p6
HLT_DoubleJetsC112_DoubleBTagCSV_p026_DoublePFJetsC172
HLT_QuadJet45_DoubleBTagCSV_p087
HLT_QuadJet45_TripleBTagCSV_p087
HLT_QuadPFJet_BTagCSV_p016_VBF_Mqq460
HLT_QuadPFJet_BTagCSV_p016_VBF_Mqq500
HLT_QuadPFJet_BTagCSV_p016_p11_VBF_Mqq200
HLT_QuadPFJet_BTagCSV_p016_p11_VBF_Mqq240
HLT_Rsq0p02_MR300_TriPFJet80_60_40_BTagCSV_p063_p20_Mbb60_200
HLT_Rsq0p02_MR300_TriPFJet80_60_40_DoubleBTagCSV_p063_Mbb60_200
HLT_Rsq0p02_MR400_TriPFJet80_60_40_DoubleBTagCSV_p063_Mbb60_200
HLT_Rsq0p02_MR450_TriPFJet80_60_40_DoubleBTagCSV_p063_Mbb60_200
HLT_Rsq0p02_MR500_TriPFJet80_60_40_DoubleBTagCSV_p063_Mbb60_200
HLT_Rsq0p02_MR550_TriPFJet80_60_40_DoubleBTagCSV_p063_Mbb60_200
Events stored in this primary dataset were selected because of the presence of at least two jets, tagged as b-quark jets with combined secondary vertex.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This MINIAOD dataset was processed from the RAW dataset by the following steps:
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016G-BTagCSV-UL2016_MiniAODv2
Output dataset: /BTagCSV/Run2016G-UL2016_MiniAODv2-v1/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016G_BTagCSV
Output dataset: /BTagCSV/Run2016G-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DoubleJet90_Double30_DoubleBTagCSV_p087
HLT_DoubleJet90_Double30_TripleBTagCSV_p087
HLT_DoubleJetsC100_DoubleBTagCSV_p014_DoublePFJetsC100MaxDeta1p6
HLT_DoubleJetsC100_DoubleBTagCSV_p026_DoublePFJetsC160
HLT_DoubleJetsC100_SingleBTagCSV_p014_SinglePFJetC350
HLT_DoubleJetsC100_SingleBTagCSV_p014
HLT_DoubleJetsC100_SingleBTagCSV_p026_SinglePFJetC350
HLT_DoubleJetsC100_SingleBTagCSV_p026
HLT_DoubleJetsC112_DoubleBTagCSV_p014_DoublePFJetsC112MaxDeta1p6
HLT_DoubleJetsC112_DoubleBTagCSV_p026_DoublePFJetsC172
HLT_QuadJet45_DoubleBTagCSV_p087
HLT_QuadJet45_TripleBTagCSV_p087
HLT_QuadPFJet_BTagCSV_p016_VBF_Mqq460
HLT_QuadPFJet_BTagCSV_p016_VBF_Mqq500
HLT_QuadPFJet_BTagCSV_p016_p11_VBF_Mqq200
HLT_QuadPFJet_BTagCSV_p016_p11_VBF_Mqq240
HLT_Rsq0p02_MR300_TriPFJet80_60_40_BTagCSV_p063_p20_Mbb60_200
HLT_Rsq0p02_MR300_TriPFJet80_60_40_DoubleBTagCSV_p063_Mbb60_200
HLT_Rsq0p02_MR400_TriPFJet80_60_40_DoubleBTagCSV_p063_Mbb60_200
HLT_Rsq0p02_MR450_TriPFJet80_60_40_DoubleBTagCSV_p063_Mbb60_200
HLT_Rsq0p02_MR500_TriPFJet80_60_40_DoubleBTagCSV_p063_Mbb60_200
HLT_Rsq0p02_MR550_TriPFJet80_60_40_DoubleBTagCSV_p063_Mbb60_200
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / PAT
This primary MINIAOD dataset was processed from the RAW dataset by the following step:
Step: PAT
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016G-BTagMu-UL2016_MiniAODv2\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_BTagMu_AK8Jet300_Mu5
HLT_BTagMu_DiJet110_Mu5
HLT_BTagMu_DiJet170_Mu5
HLT_BTagMu_DiJet20_Mu5
HLT_BTagMu_DiJet40_Mu5
HLT_BTagMu_DiJet70_Mu5
HLT_BTagMu_Jet300_Mu5
Events stored in this primary dataset were selected because of the presence of a muon from the b-quark decay, and one or more jets.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This MINIAOD dataset was processed from the RAW dataset by the following steps:
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016G-BTagMu-UL2016_MiniAODv2
Output dataset: /BTagMu/Run2016G-UL2016_MiniAODv2-v1/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016G_BTagMu
Output dataset: /BTagMu/Run2016G-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_BTagMu_AK8Jet300_Mu5
HLT_BTagMu_DiJet110_Mu5
HLT_BTagMu_DiJet170_Mu5
HLT_BTagMu_DiJet20_Mu5
HLT_BTagMu_DiJet40_Mu5
HLT_BTagMu_DiJet70_Mu5
HLT_BTagMu_Jet300_Mu5
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / PAT
This primary MINIAOD dataset was processed from the RAW dataset by the following step:
Step: PAT
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016G-Charmonium-UL2016_MiniAODv2\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_Dimuon0_Jpsi_Muon
HLT_Dimuon0er16_Jpsi_NoOS_NoVertexing
HLT_Dimuon0er16_Jpsi_NoVertexing
HLT_Dimuon10_Jpsi_Barrel
HLT_Dimuon13_PsiPrime
HLT_Dimuon16_Jpsi
HLT_Dimuon20_Jpsi
HLT_Dimuon6_Jpsi_NoVertexing
HLT_Dimuon8_PsiPrime_Barrel
HLT_DoubleMu4_3_Bs
HLT_DoubleMu4_3_Jpsi_Displaced
HLT_DoubleMu4_JpsiTrk_Displaced
HLT_DoubleMu4_PsiPrimeTrk_Displaced
HLT_Mu7p5_L2Mu2_Jpsi
HLT_Mu7p5_Track2_Jpsi
HLT_Mu7p5_Track3p5_Jpsi
HLT_Mu7p5_Track7_Jpsi
HLT_QuadMuon0_Dimuon0_Jpsi
Events stored in this primary dataset were selected because of the presence of at least two muons, or a muon and a track with some requirements in the invariant mass for selecting low-mass resonances.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This MINIAOD dataset was processed from the RAW dataset by the following steps:
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016G-Charmonium-UL2016_MiniAODv2
Output dataset: /Charmonium/Run2016G-UL2016_MiniAODv2-v1/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016G_Charmonium
Output dataset: /Charmonium/Run2016G-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_Dimuon0_Jpsi_Muon
HLT_Dimuon0er16_Jpsi_NoOS_NoVertexing
HLT_Dimuon0er16_Jpsi_NoVertexing
HLT_Dimuon10_Jpsi_Barrel
HLT_Dimuon13_PsiPrime
HLT_Dimuon16_Jpsi
HLT_Dimuon20_Jpsi
HLT_Dimuon6_Jpsi_NoVertexing
HLT_Dimuon8_PsiPrime_Barrel
HLT_DoubleMu4_3_Bs
HLT_DoubleMu4_3_Jpsi_Displaced
HLT_DoubleMu4_JpsiTrk_Displaced
HLT_DoubleMu4_PsiPrimeTrk_Displaced
HLT_Mu7p5_L2Mu2_Jpsi
HLT_Mu7p5_Track2_Jpsi
HLT_Mu7p5_Track3p5_Jpsi
HLT_Mu7p5_Track7_Jpsi
HLT_QuadMuon0_Dimuon0_Jpsi
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / PAT
This primary MINIAOD dataset was processed from the RAW dataset by the following step:
Step: PAT
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016G-DisplacedJet-UL2016_MiniAODv2\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_HT200_DisplacedDijet40_DisplacedTrack
HLT_HT200
HLT_HT250_DisplacedDijet40_DisplacedTrack
HLT_HT275
HLT_HT325
HLT_HT350_DisplacedDijet40_DisplacedTrack
HLT_HT350_DisplacedDijet40_Inclusive
HLT_HT350_DisplacedDijet80_DisplacedTrack
HLT_HT350_DisplacedDijet80_Tight_DisplacedTrack
HLT_HT400_DisplacedDijet40_Inclusive
HLT_HT425
HLT_HT500_DisplacedDijet40_Inclusive
HLT_HT550_DisplacedDijet40_Inclusive
HLT_HT550_DisplacedDijet80_Inclusive
HLT_HT575
HLT_HT650_DisplacedDijet80_Inclusive
HLT_HT750_DisplacedDijet80_Inclusive
HLT_VBF_DisplacedJet40_DisplacedTrack_2TrackIP2DSig5
HLT_VBF_DisplacedJet40_DisplacedTrack
HLT_VBF_DisplacedJet40_Hadronic_2PromptTrack
HLT_VBF_DisplacedJet40_Hadronic
HLT_VBF_DisplacedJet40_TightID_DisplacedTrack
HLT_VBF_DisplacedJet40_TightID_Hadronic
HLT_VBF_DisplacedJet40_VTightID_DisplacedTrack
HLT_VBF_DisplacedJet40_VTightID_Hadronic
HLT_VBF_DisplacedJet40_VVTightID_DisplacedTrack
HLT_VBF_DisplacedJet40_VVTightID_Hadronic
Events stored in this primary dataset were selected because of the presence of one or more displaced jets, or a displaced jet and/or high scalar sum of the jet transverse momenta (HT).
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This MINIAOD dataset was processed from the RAW dataset by the following steps:
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016G-DisplacedJet-UL2016_MiniAODv2
Output dataset: /DisplacedJet/Run2016G-UL2016_MiniAODv2-v1/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016G_DisplacedJet
Output dataset: /DisplacedJet/Run2016G-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_HT200_DisplacedDijet40_DisplacedTrack
HLT_HT200
HLT_HT250_DisplacedDijet40_DisplacedTrack
HLT_HT275
HLT_HT325
HLT_HT350_DisplacedDijet40_DisplacedTrack
HLT_HT350_DisplacedDijet40_Inclusive
HLT_HT350_DisplacedDijet80_DisplacedTrack
HLT_HT350_DisplacedDijet80_Tight_DisplacedTrack
HLT_HT400_DisplacedDijet40_Inclusive
HLT_HT425
HLT_HT500_DisplacedDijet40_Inclusive
HLT_HT550_DisplacedDijet40_Inclusive
HLT_HT550_DisplacedDijet80_Inclusive
HLT_HT575
HLT_HT650_DisplacedDijet80_Inclusive
HLT_HT750_DisplacedDijet80_Inclusive
HLT_VBF_DisplacedJet40_DisplacedTrack_2TrackIP2DSig5
HLT_VBF_DisplacedJet40_DisplacedTrack
HLT_VBF_DisplacedJet40_Hadronic_2PromptTrack
HLT_VBF_DisplacedJet40_Hadronic
HLT_VBF_DisplacedJet40_TightID_DisplacedTrack
HLT_VBF_DisplacedJet40_TightID_Hadronic
HLT_VBF_DisplacedJet40_VTightID_DisplacedTrack
HLT_VBF_DisplacedJet40_VTightID_Hadronic
HLT_VBF_DisplacedJet40_VVTightID_DisplacedTrack
HLT_VBF_DisplacedJet40_VVTightID_Hadronic
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / PAT
This primary MINIAOD dataset was processed from the RAW dataset by the following step:
Step: PAT
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016G-DoubleEG-UL2016_MiniAODv2\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_Diphoton30EB_18EB_R9Id_OR_IsoCaloId_AND_HE_R9Id_DoublePixelVeto_Mass55
HLT_Diphoton30PV_18PV_R9Id_AND_IsoCaloId_AND_HE_R9Id_DoublePixelVeto_Mass55
HLT_Diphoton30_18_R9Id_OR_IsoCaloId_AND_HE_R9Id_DoublePixelSeedMatch_Mass70
HLT_Diphoton30_18_R9Id_OR_IsoCaloId_AND_HE_R9Id_Mass90
HLT_Diphoton30_18_Solid_R9Id_AND_IsoCaloId_AND_HE_R9Id_Mass55
HLT_DoubleEle24_22_eta2p1_WPLoose_Gsf
HLT_DoubleEle33_CaloIdL_GsfTrkIdVL_MW
HLT_DoubleEle33_CaloIdL_GsfTrkIdVL
HLT_DoubleEle33_CaloIdL_MW
HLT_DoubleEle33_CaloIdL
HLT_DoubleEle37_Ele27_CaloIdL_GsfTrkIdVL
HLT_DoubleEle8_CaloIdM_TrackIdM_Mass8_PFHT250
HLT_DoubleEle8_CaloIdM_TrackIdM_Mass8_PFHT300
HLT_DoublePhoton60
HLT_DoublePhoton85
HLT_ECALHT800
HLT_Ele10_CaloIdM_TrackIdM_CentralPFJet30_BTagCSV_p13
HLT_Ele12_CaloIdL_TrackIdL_IsoVL_PFJet30
HLT_Ele12_CaloIdL_TrackIdL_IsoVL
HLT_Ele12_CaloIdM_TrackIdM_PFJet30
HLT_Ele16_Ele12_Ele8_CaloIdL_TrackIdL
HLT_Ele17_CaloIdL_GsfTrkIdVL
HLT_Ele17_CaloIdL_TrackIdL_IsoVL_PFJet30
HLT_Ele17_CaloIdL_TrackIdL_IsoVL
HLT_Ele17_CaloIdM_TrackIdM_PFJet30
HLT_Ele17_Ele12_CaloIdL_TrackIdL_IsoVL_DZ
HLT_Ele17_Ele12_CaloIdL_TrackIdL_IsoVL
HLT_Ele23_CaloIdL_TrackIdL_IsoVL_PFJet30
HLT_Ele23_CaloIdL_TrackIdL_IsoVL
HLT_Ele23_CaloIdM_TrackIdM_PFJet30
HLT_Ele23_Ele12_CaloIdL_TrackIdL_IsoVL_DZ_L1JetTauSeeded
HLT_Ele23_Ele12_CaloIdL_TrackIdL_IsoVL_DZ
HLT_Ele23_Ele12_CaloIdL_TrackIdL_IsoVL
HLT_Ele27_HighEta_Ele20_Mass55
HLT_Ele30WP60_Ele8_Mass55
HLT_Ele30WP60_SC4_Mass55
HLT_Ele8_CaloIdL_TrackIdL_IsoVL_PFJet30
HLT_Ele8_CaloIdM_TrackIdM_PFJet30
HLT_Photon26_R9Id85_OR_CaloId24b40e_Iso50T80L_Photon16_AND_HE10_R9Id65_Eta2_Mass60
HLT_Photon36_R9Id85_OR_CaloId24b40e_Iso50T80L_Photon22_AND_HE10_R9Id65_Eta2_Mass15
HLT_Photon42_R9Id85_OR_CaloId24b40e_Iso50T80L_Photon25_AND_HE10_R9Id65_Eta2_Mass15
Events stored in this primary dataset were selected because of the presence of different combinations of energetic photons, electrons and/or jets.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This MINIAOD dataset was processed from the RAW dataset by the following steps:
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016G-DoubleEG-UL2016_MiniAODv2
Output dataset: /DoubleEG/Run2016G-UL2016_MiniAODv2-v1/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016G_DoubleEG
Output dataset: /DoubleEG/Run2016G-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_Diphoton30EB_18EB_R9Id_OR_IsoCaloId_AND_HE_R9Id_DoublePixelVeto_Mass55
HLT_Diphoton30PV_18PV_R9Id_AND_IsoCaloId_AND_HE_R9Id_DoublePixelVeto_Mass55
HLT_Diphoton30_18_R9Id_OR_IsoCaloId_AND_HE_R9Id_DoublePixelSeedMatch_Mass70
HLT_Diphoton30_18_R9Id_OR_IsoCaloId_AND_HE_R9Id_Mass90
HLT_Diphoton30_18_Solid_R9Id_AND_IsoCaloId_AND_HE_R9Id_Mass55
HLT_DoubleEle24_22_eta2p1_WPLoose_Gsf
HLT_DoubleEle33_CaloIdL_GsfTrkIdVL_MW
HLT_DoubleEle33_CaloIdL_GsfTrkIdVL
HLT_DoubleEle33_CaloIdL_MW
HLT_DoubleEle33_CaloIdL
HLT_DoubleEle37_Ele27_CaloIdL_GsfTrkIdVL
HLT_DoubleEle8_CaloIdM_TrackIdM_Mass8_PFHT250
HLT_DoubleEle8_CaloIdM_TrackIdM_Mass8_PFHT300
HLT_DoublePhoton60
HLT_DoublePhoton85
HLT_ECALHT800
HLT_Ele10_CaloIdM_TrackIdM_CentralPFJet30_BTagCSV_p13
HLT_Ele12_CaloIdL_TrackIdL_IsoVL_PFJet30
HLT_Ele12_CaloIdL_TrackIdL_IsoVL
HLT_Ele12_CaloIdM_TrackIdM_PFJet30
HLT_Ele16_Ele12_Ele8_CaloIdL_TrackIdL
HLT_Ele17_CaloIdL_GsfTrkIdVL
HLT_Ele17_CaloIdL_TrackIdL_IsoVL_PFJet30
HLT_Ele17_CaloIdL_TrackIdL_IsoVL
HLT_Ele17_CaloIdM_TrackIdM_PFJet30
HLT_Ele17_Ele12_CaloIdL_TrackIdL_IsoVL_DZ
HLT_Ele17_Ele12_CaloIdL_TrackIdL_IsoVL
HLT_Ele23_CaloIdL_TrackIdL_IsoVL_PFJet30
HLT_Ele23_CaloIdL_TrackIdL_IsoVL
HLT_Ele23_CaloIdM_TrackIdM_PFJet30
HLT_Ele23_Ele12_CaloIdL_TrackIdL_IsoVL_DZ_L1JetTauSeeded
HLT_Ele23_Ele12_CaloIdL_TrackIdL_IsoVL_DZ
HLT_Ele23_Ele12_CaloIdL_TrackIdL_IsoVL
HLT_Ele27_HighEta_Ele20_Mass55
HLT_Ele30WP60_Ele8_Mass55
HLT_Ele30WP60_SC4_Mass55
HLT_Ele8_CaloIdL_TrackIdL_IsoVL_PFJet30
HLT_Ele8_CaloIdM_TrackIdM_PFJet30
HLT_Photon26_R9Id85_OR_CaloId24b40e_Iso50T80L_Photon16_AND_HE10_R9Id65_Eta2_Mass60
HLT_Photon36_R9Id85_OR_CaloId24b40e_Iso50T80L_Photon22_AND_HE10_R9Id65_Eta2_Mass15
HLT_Photon42_R9Id85_OR_CaloId24b40e_Iso50T80L_Photon25_AND_HE10_R9Id65_Eta2_Mass15
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / PAT
This primary MINIAOD dataset was processed from the RAW dataset by the following step:
Step: PAT
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016G-DoubleMuon-UL2016_MiniAODv2\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DoubleMu0
HLT_DoubleMu18NoFiltersNoVtx
HLT_DoubleMu23NoFiltersNoVtxDisplaced
HLT_DoubleMu28NoFiltersNoVtxDisplaced
HLT_DoubleMu33NoFiltersNoVtx
HLT_DoubleMu38NoFiltersNoVtx
HLT_DoubleMu8_Mass8_PFHT250
HLT_DoubleMu8_Mass8_PFHT300
HLT_L2DoubleMu23_NoVertex
HLT_L2DoubleMu28_NoVertex_2Cha_Angle2p5_Mass10
HLT_L2DoubleMu38_NoVertex_2Cha_Angle2p5_Mass10
HLT_Mu10_CentralPFJet30_BTagCSV_p13
HLT_Mu17_Mu8_DZ
HLT_Mu17_Mu8_SameSign_DZ
HLT_Mu17_Mu8_SameSign
HLT_Mu17_Mu8
HLT_Mu17_TkMu8_DZ
HLT_Mu17_TrkIsoVVL_Mu8_TrkIsoVVL_DZ
HLT_Mu17_TrkIsoVVL_Mu8_TrkIsoVVL
HLT_Mu17_TrkIsoVVL_TkMu8_TrkIsoVVL_DZ
HLT_Mu17_TrkIsoVVL_TkMu8_TrkIsoVVL
HLT_Mu17_TrkIsoVVL
HLT_Mu17
HLT_Mu20_Mu10_DZ
HLT_Mu20_Mu10_SameSign_DZ
HLT_Mu20_Mu10_SameSign
HLT_Mu20_Mu10
HLT_Mu27_TkMu8
HLT_Mu30_TkMu11
HLT_Mu3_PFJet40
HLT_Mu40_TkMu11
HLT_Mu8_TrkIsoVVL
HLT_Mu8
HLT_TkMu17_TrkIsoVVL_TkMu8_TrkIsoVVL_DZ
HLT_TkMu17_TrkIsoVVL_TkMu8_TrkIsoVVL
HLT_TripleMu_12_10_5
HLT_TripleMu_5_3_3_DZ_Mass3p8
HLT_TripleMu_5_3_3
HLT_TrkMu15_DoubleTrkMu5NoFiltersNoVtx
HLT_TrkMu17_DoubleTrkMu8NoFiltersNoVtx
Events stored in this primary dataset were selected because of the presence of at least two energetic muons in the event.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This MINIAOD dataset was processed from the RAW dataset by the following steps:
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016G-DoubleMuon-UL2016_MiniAODv2
Output dataset: /DoubleMuon/Run2016G-UL2016_MiniAODv2-v1/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016G_DoubleMuon
Output dataset: /DoubleMuon/Run2016G-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DoubleMu0
HLT_DoubleMu18NoFiltersNoVtx
HLT_DoubleMu23NoFiltersNoVtxDisplaced
HLT_DoubleMu28NoFiltersNoVtxDisplaced
HLT_DoubleMu33NoFiltersNoVtx
HLT_DoubleMu38NoFiltersNoVtx
HLT_DoubleMu8_Mass8_PFHT250
HLT_DoubleMu8_Mass8_PFHT300
HLT_L2DoubleMu23_NoVertex
HLT_L2DoubleMu28_NoVertex_2Cha_Angle2p5_Mass10
HLT_L2DoubleMu38_NoVertex_2Cha_Angle2p5_Mass10
HLT_Mu10_CentralPFJet30_BTagCSV_p13
HLT_Mu17_Mu8_DZ
HLT_Mu17_Mu8_SameSign_DZ
HLT_Mu17_Mu8_SameSign
HLT_Mu17_Mu8
HLT_Mu17_TkMu8_DZ
HLT_Mu17_TrkIsoVVL_Mu8_TrkIsoVVL_DZ
HLT_Mu17_TrkIsoVVL_Mu8_TrkIsoVVL
HLT_Mu17_TrkIsoVVL_TkMu8_TrkIsoVVL_DZ
HLT_Mu17_TrkIsoVVL_TkMu8_TrkIsoVVL
HLT_Mu17_TrkIsoVVL
HLT_Mu17
HLT_Mu20_Mu10_DZ
HLT_Mu20_Mu10_SameSign_DZ
HLT_Mu20_Mu10_SameSign
HLT_Mu20_Mu10
HLT_Mu27_TkMu8
HLT_Mu30_TkMu11
HLT_Mu3_PFJet40
HLT_Mu40_TkMu11
HLT_Mu8_TrkIsoVVL
HLT_Mu8
HLT_TkMu17_TrkIsoVVL_TkMu8_TrkIsoVVL_DZ
HLT_TkMu17_TrkIsoVVL_TkMu8_TrkIsoVVL
HLT_TripleMu_12_10_5
HLT_TripleMu_5_3_3_DZ_Mass3p8
HLT_TripleMu_5_3_3
HLT_TrkMu15_DoubleTrkMu5NoFiltersNoVtx
HLT_TrkMu17_DoubleTrkMu8NoFiltersNoVtx
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / PAT
This primary MINIAOD dataset was processed from the RAW dataset by the following step:
Step: PAT
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016G-DoubleMuonLowMass-UL2016_MiniAODv2\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DoubleMu3_Trk_Tau3mu
HLT_DoubleMu4_LowMassNonResonantTrk_Displaced
Events stored in this primary dataset were selected because of the presence of at least two muons with low invariant mass.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This MINIAOD dataset was processed from the RAW dataset by the following steps:
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016G-DoubleMuonLowMass-UL2016_MiniAODv2
Output dataset: /DoubleMuonLowMass/Run2016G-UL2016_MiniAODv2-v1/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step ReReco-Run2016G-DoubleMuonLowMass-21Feb2020_UL2016
Output dataset: /DoubleMuonLowMass/Run2016G-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DoubleMu3_Trk_Tau3mu
HLT_DoubleMu4_LowMassNonResonantTrk_Displaced
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / PAT
This primary MINIAOD dataset was processed from the RAW dataset by the following step:
Step: PAT
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016G-HTMHT-UL2016_MiniAODv2\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DiPFJet40_DEta3p5_MJJ600_PFMETNoMu140
HLT_DiPFJet40_DEta3p5_MJJ600_PFMETNoMu80
HLT_PFHT200_DiPFJetAve90_PFAlphaT0p57
HLT_PFHT200_DiPFJetAve90_PFAlphaT0p63
HLT_PFHT200_PFAlphaT0p51
HLT_PFHT250_DiPFJetAve90_PFAlphaT0p55
HLT_PFHT250_DiPFJetAve90_PFAlphaT0p58
HLT_PFHT300_DiPFJetAve90_PFAlphaT0p53
HLT_PFHT300_DiPFJetAve90_PFAlphaT0p54
HLT_PFHT300_PFMET100
HLT_PFHT300_PFMET110
HLT_PFHT350_DiPFJetAve90_PFAlphaT0p52
HLT_PFHT350_DiPFJetAve90_PFAlphaT0p53
HLT_PFHT400_DiPFJetAve90_PFAlphaT0p51
HLT_PFHT400_DiPFJetAve90_PFAlphaT0p52
HLT_Rsq0p25
HLT_Rsq0p30
HLT_RsqMR240_Rsq0p09_MR200_4jet
HLT_RsqMR240_Rsq0p09_MR200
HLT_RsqMR270_Rsq0p09_MR200_4jet
HLT_RsqMR270_Rsq0p09_MR200
Events stored in this primary dataset were selected because of the presence of a combination of a high scalar sum of the jet transverse momenta (HT), one or more energetic jets, or high missing transverse energy.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This MINIAOD dataset was processed from the RAW dataset by the following steps:
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016G-HTMHT-UL2016_MiniAODv2
Output dataset: /HTMHT/Run2016G-UL2016_MiniAODv2-v1/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016G_HTMHT
Output dataset: /HTMHT/Run2016G-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DiPFJet40_DEta3p5_MJJ600_PFMETNoMu140
HLT_DiPFJet40_DEta3p5_MJJ600_PFMETNoMu80
HLT_PFHT200_DiPFJetAve90_PFAlphaT0p57
HLT_PFHT200_DiPFJetAve90_PFAlphaT0p63
HLT_PFHT200_PFAlphaT0p51
HLT_PFHT250_DiPFJetAve90_PFAlphaT0p55
HLT_PFHT250_DiPFJetAve90_PFAlphaT0p58
HLT_PFHT300_DiPFJetAve90_PFAlphaT0p53
HLT_PFHT300_DiPFJetAve90_PFAlphaT0p54
HLT_PFHT300_PFMET100
HLT_PFHT300_PFMET110
HLT_PFHT350_DiPFJetAve90_PFAlphaT0p52
HLT_PFHT350_DiPFJetAve90_PFAlphaT0p53
HLT_PFHT400_DiPFJetAve90_PFAlphaT0p51
HLT_PFHT400_DiPFJetAve90_PFAlphaT0p52
HLT_Rsq0p25
HLT_Rsq0p30
HLT_RsqMR240_Rsq0p09_MR200_4jet
HLT_RsqMR240_Rsq0p09_MR200
HLT_RsqMR270_Rsq0p09_MR200_4jet
HLT_RsqMR270_Rsq0p09_MR200
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / PAT
This primary MINIAOD dataset was processed from the RAW dataset by the following step:
Step: PAT
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016G-JetHT-UL2016_MiniAODv2\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_AK8DiPFJet250_200_TrimMass30_BTagCSV_p20
HLT_AK8DiPFJet250_200_TrimMass30
HLT_AK8DiPFJet280_200_TrimMass30_BTagCSV_p087
HLT_AK8DiPFJet280_200_TrimMass30_BTagCSV_p20
HLT_AK8DiPFJet280_200_TrimMass30
HLT_AK8DiPFJet300_200_TrimMass30_BTagCSV_p087
HLT_AK8DiPFJet300_200_TrimMass30_BTagCSV_p20
HLT_AK8DiPFJet300_200_TrimMass30
HLT_AK8PFHT600_TrimR0p1PT0p03Mass50_BTagCSV_p20
HLT_AK8PFHT650_TrimR0p1PT0p03Mass50
HLT_AK8PFHT700_TrimR0p1PT0p03Mass50
HLT_AK8PFHT750_TrimMass50
HLT_AK8PFHT800_TrimMass50
HLT_AK8PFJet140
HLT_AK8PFJet200
HLT_AK8PFJet260
HLT_AK8PFJet320
HLT_AK8PFJet360_TrimMass30
HLT_AK8PFJet400_TrimMass30
HLT_AK8PFJet400
HLT_AK8PFJet40
HLT_AK8PFJet450
HLT_AK8PFJet500
HLT_AK8PFJet60
HLT_AK8PFJet80
HLT_CaloJet500_NoJetID
HLT_DiCentralPFJet170_CFMax0p1
HLT_DiCentralPFJet170
HLT_DiCentralPFJet220_CFMax0p3
HLT_DiCentralPFJet330_CFMax0p5
HLT_DiCentralPFJet430
HLT_DiJetVBFMu_PassThrough
HLT_DiJetVBF_PassThrough
HLT_DiPFJetAve100_HFJEC
HLT_DiPFJetAve140
HLT_DiPFJetAve160_HFJEC
HLT_DiPFJetAve200
HLT_DiPFJetAve220_HFJEC
HLT_DiPFJetAve260
HLT_DiPFJetAve300_HFJEC
HLT_DiPFJetAve320
HLT_DiPFJetAve400
HLT_DiPFJetAve40
HLT_DiPFJetAve500
HLT_DiPFJetAve60_HFJEC
HLT_DiPFJetAve60
HLT_DiPFJetAve80_HFJEC
HLT_DiPFJetAve80
HLT_HT2000
HLT_HT2500
HLT_L1_TripleJet_VBF
HLT_PFHT125
HLT_PFHT200
HLT_PFHT250
HLT_PFHT300
HLT_PFHT350
HLT_PFHT400_SixJet30_DoubleBTagCSV_p056
HLT_PFHT400_SixJet30
HLT_PFHT400
HLT_PFHT450_SixJet40_BTagCSV_p056
HLT_PFHT450_SixJet40
HLT_PFHT475
HLT_PFHT550_4JetPt50
HLT_PFHT600
HLT_PFHT650_4JetPt50
HLT_PFHT650_WideJetMJJ900DEtaJJ1p5
HLT_PFHT650_WideJetMJJ950DEtaJJ1p5
HLT_PFHT650
HLT_PFHT750_4JetPt50
HLT_PFHT750_4JetPt70
HLT_PFHT750_4JetPt80
HLT_PFHT800_4JetPt50
HLT_PFHT800
HLT_PFHT850_4JetPt50
HLT_PFHT900
HLT_PFJet140
HLT_PFJet200
HLT_PFJet260
HLT_PFJet320
HLT_PFJet400
HLT_PFJet40
HLT_PFJet450
HLT_PFJet500
HLT_PFJet60
HLT_PFJet80
HLT_QuadPFJet_VBF
HLT_SingleCentralPFJet170_CFMax0p1
Events stored in this primary dataset were selected because of the presence of a high scalar sum of the jet transverse momenta (HT), or at least one or two energetic jets.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This MINIAOD dataset was processed from the RAW dataset by the following steps:
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016G-JetHT-UL2016_MiniAODv2
Output dataset: /JetHT/Run2016G-UL2016_MiniAODv2-v2/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016G_JetHT
Output dataset: /JetHT/Run2016G-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_AK8DiPFJet250_200_TrimMass30_BTagCSV_p20
HLT_AK8DiPFJet250_200_TrimMass30
HLT_AK8DiPFJet280_200_TrimMass30_BTagCSV_p087
HLT_AK8DiPFJet280_200_TrimMass30_BTagCSV_p20
HLT_AK8DiPFJet280_200_TrimMass30
HLT_AK8DiPFJet300_200_TrimMass30_BTagCSV_p087
HLT_AK8DiPFJet300_200_TrimMass30_BTagCSV_p20
HLT_AK8DiPFJet300_200_TrimMass30
HLT_AK8PFHT600_TrimR0p1PT0p03Mass50_BTagCSV_p20
HLT_AK8PFHT650_TrimR0p1PT0p03Mass50
HLT_AK8PFHT700_TrimR0p1PT0p03Mass50
HLT_AK8PFHT750_TrimMass50
HLT_AK8PFHT800_TrimMass50
HLT_AK8PFJet140
HLT_AK8PFJet200
HLT_AK8PFJet260
HLT_AK8PFJet320
HLT_AK8PFJet360_TrimMass30
HLT_AK8PFJet400_TrimMass30
HLT_AK8PFJet400
HLT_AK8PFJet40
HLT_AK8PFJet450
HLT_AK8PFJet500
HLT_AK8PFJet60
HLT_AK8PFJet80
HLT_CaloJet500_NoJetID
HLT_DiCentralPFJet170_CFMax0p1
HLT_DiCentralPFJet170
HLT_DiCentralPFJet220_CFMax0p3
HLT_DiCentralPFJet330_CFMax0p5
HLT_DiCentralPFJet430
HLT_DiJetVBFMu_PassThrough
HLT_DiJetVBF_PassThrough
HLT_DiPFJetAve100_HFJEC
HLT_DiPFJetAve140
HLT_DiPFJetAve160_HFJEC
HLT_DiPFJetAve200
HLT_DiPFJetAve220_HFJEC
HLT_DiPFJetAve260
HLT_DiPFJetAve300_HFJEC
HLT_DiPFJetAve320
HLT_DiPFJetAve400
HLT_DiPFJetAve40
HLT_DiPFJetAve500
HLT_DiPFJetAve60_HFJEC
HLT_DiPFJetAve60
HLT_DiPFJetAve80_HFJEC
HLT_DiPFJetAve80
HLT_HT2000
HLT_HT2500
HLT_L1_TripleJet_VBF
HLT_PFHT125
HLT_PFHT200
HLT_PFHT250
HLT_PFHT300
HLT_PFHT350
HLT_PFHT400_SixJet30_DoubleBTagCSV_p056
HLT_PFHT400_SixJet30
HLT_PFHT400
HLT_PFHT450_SixJet40_BTagCSV_p056
HLT_PFHT450_SixJet40
HLT_PFHT475
HLT_PFHT550_4JetPt50
HLT_PFHT600
HLT_PFHT650_4JetPt50
HLT_PFHT650_WideJetMJJ900DEtaJJ1p5
HLT_PFHT650_WideJetMJJ950DEtaJJ1p5
HLT_PFHT650
HLT_PFHT750_4JetPt50
HLT_PFHT750_4JetPt70
HLT_PFHT750_4JetPt80
HLT_PFHT800_4JetPt50
HLT_PFHT800
HLT_PFHT850_4JetPt50
HLT_PFHT900
HLT_PFJet140
HLT_PFJet200
HLT_PFJet260
HLT_PFJet320
HLT_PFJet400
HLT_PFJet40
HLT_PFJet450
HLT_PFJet500
HLT_PFJet60
HLT_PFJet80
HLT_QuadPFJet_VBF
HLT_SingleCentralPFJet170_CFMax0p1
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / PAT
This primary MINIAOD dataset was processed from the RAW dataset by the following step:
Step: PAT
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016G-MET-UL2016_MiniAODv2\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_CaloMHTNoPU90_PFMET90_PFMHT90_IDTight_BTagCSV_p067
HLT_CaloMHTNoPU90_PFMET90_PFMHT90_IDTight
HLT_DiCentralPFJet55_PFMET110
HLT_DoubleMu3_PFMET50
HLT_MET200
HLT_MET250
HLT_MET300
HLT_MET600
HLT_MET60_IsoTrk35_Loose
HLT_MET700
HLT_MET75_IsoTrk50
HLT_MET90_IsoTrk50
HLT_MonoCentralPFJet80_PFMETNoMu100_PFMHTNoMu100_IDTight
HLT_MonoCentralPFJet80_PFMETNoMu110_PFMHTNoMu110_IDTight
HLT_MonoCentralPFJet80_PFMETNoMu120_PFMHTNoMu120_IDTight
HLT_MonoCentralPFJet80_PFMETNoMu90_PFMHTNoMu90_IDTight
HLT_Mu14er_PFMET100
HLT_Mu3er_PFHT140_PFMET125
HLT_Mu6_PFHT200_PFMET100
HLT_Mu6_PFHT200_PFMET80_BTagCSV_p067
HLT_PFMET100_PFMHT100_IDTight_BeamHaloCleaned
HLT_PFMET100_PFMHT100_IDTight
HLT_PFMET110_PFMHT110_IDTight
HLT_PFMET120_BTagCSV_p067
HLT_PFMET120_Mu5
HLT_PFMET120_PFMHT120_IDTight
HLT_PFMET170_BeamHaloCleaned
HLT_PFMET170_HBHECleaned
HLT_PFMET170_HBHE_BeamHaloCleaned
HLT_PFMET170_JetIdCleaned
HLT_PFMET170_NoiseCleaned
HLT_PFMET170_NotCleaned
HLT_PFMET300
HLT_PFMET400
HLT_PFMET500
HLT_PFMET600
HLT_PFMET90_PFMHT90_IDTight
HLT_PFMETNoMu100_PFMHTNoMu100_IDTight
HLT_PFMETNoMu110_PFMHTNoMu110_IDTight
HLT_PFMETNoMu120_PFMHTNoMu120_IDTight
HLT_PFMETNoMu90_PFMHTNoMu90_IDTight
HLT_PFMETTypeOne190_HBHE_BeamHaloCleaned
Events stored in this primary dataset were selected because of the presence of high missing transverse energy.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This MINIAOD dataset was processed from the RAW dataset by the following steps:
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016G-MET-UL2016_MiniAODv2
Output dataset: /MET/Run2016G-UL2016_MiniAODv2-v2/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016G_MET
Output dataset: /MET/Run2016G-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_CaloMHTNoPU90_PFMET90_PFMHT90_IDTight_BTagCSV_p067
HLT_CaloMHTNoPU90_PFMET90_PFMHT90_IDTight
HLT_DiCentralPFJet55_PFMET110
HLT_DoubleMu3_PFMET50
HLT_MET200
HLT_MET250
HLT_MET300
HLT_MET600
HLT_MET60_IsoTrk35_Loose
HLT_MET700
HLT_MET75_IsoTrk50
HLT_MET90_IsoTrk50
HLT_MonoCentralPFJet80_PFMETNoMu100_PFMHTNoMu100_IDTight
HLT_MonoCentralPFJet80_PFMETNoMu110_PFMHTNoMu110_IDTight
HLT_MonoCentralPFJet80_PFMETNoMu120_PFMHTNoMu120_IDTight
HLT_MonoCentralPFJet80_PFMETNoMu90_PFMHTNoMu90_IDTight
HLT_Mu14er_PFMET100
HLT_Mu3er_PFHT140_PFMET125
HLT_Mu6_PFHT200_PFMET100
HLT_Mu6_PFHT200_PFMET80_BTagCSV_p067
HLT_PFMET100_PFMHT100_IDTight_BeamHaloCleaned
HLT_PFMET100_PFMHT100_IDTight
HLT_PFMET110_PFMHT110_IDTight
HLT_PFMET120_BTagCSV_p067
HLT_PFMET120_Mu5
HLT_PFMET120_PFMHT120_IDTight
HLT_PFMET170_BeamHaloCleaned
HLT_PFMET170_HBHECleaned
HLT_PFMET170_HBHE_BeamHaloCleaned
HLT_PFMET170_JetIdCleaned
HLT_PFMET170_NoiseCleaned
HLT_PFMET170_NotCleaned
HLT_PFMET300
HLT_PFMET400
HLT_PFMET500
HLT_PFMET600
HLT_PFMET90_PFMHT90_IDTight
HLT_PFMETNoMu100_PFMHTNoMu100_IDTight
HLT_PFMETNoMu110_PFMHTNoMu110_IDTight
HLT_PFMETNoMu120_PFMHTNoMu120_IDTight
HLT_PFMETNoMu90_PFMHTNoMu90_IDTight
HLT_PFMETTypeOne190_HBHE_BeamHaloCleaned
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / PAT
This primary MINIAOD dataset was processed from the RAW dataset by the following step:
Step: PAT
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016G-MuOnia-UL2016_MiniAODv2\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_Dimuon0_Phi_Barrel
HLT_Dimuon0_Upsilon_Muon
HLT_Dimuon13_Upsilon
HLT_Dimuon8_Upsilon_Barrel
HLT_Mu16_TkMu0_dEta18_Onia
HLT_Mu16_TkMu0_dEta18_Phi
HLT_Mu25_TkMu0_dEta18_Onia
HLT_Mu7p5_L2Mu2_Upsilon
HLT_Mu7p5_Track2_Upsilon
HLT_Mu7p5_Track3p5_Upsilon
HLT_Mu7p5_Track7_Upsilon
HLT_QuadMuon0_Dimuon0_Upsilon
Events stored in this primary dataset were selected because of the presence of at least two muons in the event requiring only very low energy and some requirements in the invariant mass for selecting low-mass resonances.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This MINIAOD dataset was processed from the RAW dataset by the following steps:
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016G-MuOnia-UL2016_MiniAODv2
Output dataset: /MuOnia/Run2016G-UL2016_MiniAODv2-v1/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016G_MuOnia
Output dataset: /MuOnia/Run2016G-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_Dimuon0_Phi_Barrel
HLT_Dimuon0_Upsilon_Muon
HLT_Dimuon13_Upsilon
HLT_Dimuon8_Upsilon_Barrel
HLT_Mu16_TkMu0_dEta18_Onia
HLT_Mu16_TkMu0_dEta18_Phi
HLT_Mu25_TkMu0_dEta18_Onia
HLT_Mu7p5_L2Mu2_Upsilon
HLT_Mu7p5_Track2_Upsilon
HLT_Mu7p5_Track3p5_Upsilon
HLT_Mu7p5_Track7_Upsilon
HLT_QuadMuon0_Dimuon0_Upsilon
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / PAT
This primary MINIAOD dataset was processed from the RAW dataset by the following step:
Step: PAT
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016G-MuonEG-UL2016_MiniAODv2\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DiMu9_Ele9_CaloIdL_TrackIdL
HLT_Mu12_Photon25_CaloIdL_L1ISO
HLT_Mu12_Photon25_CaloIdL_L1OR
HLT_Mu12_Photon25_CaloIdL
HLT_Mu12_TrkIsoVVL_Ele23_CaloIdL_TrackIdL_IsoVL_DZ
HLT_Mu12_TrkIsoVVL_Ele23_CaloIdL_TrackIdL_IsoVL
HLT_Mu17_Photon22_CaloIdL_L1ISO
HLT_Mu17_Photon30_CaloIdL_L1ISO
HLT_Mu17_Photon35_CaloIdL_L1ISO
HLT_Mu17_TrkIsoVVL_Ele12_CaloIdL_TrackIdL_IsoVL
HLT_Mu23NoFiltersNoVtx_Photon23_CaloIdL
HLT_Mu23_TrkIsoVVL_Ele12_CaloIdL_TrackIdL_IsoVL_DZ
HLT_Mu23_TrkIsoVVL_Ele12_CaloIdL_TrackIdL_IsoVL
HLT_Mu23_TrkIsoVVL_Ele8_CaloIdL_TrackIdL_IsoVL_DZ
HLT_Mu23_TrkIsoVVL_Ele8_CaloIdL_TrackIdL_IsoVL
HLT_Mu27_Ele37_CaloIdL_GsfTrkIdVL
HLT_Mu28NoFiltersNoVtxDisplaced_Photon28_CaloIdL
HLT_Mu30_Ele30_CaloIdL_GsfTrkIdVL
HLT_Mu33NoFiltersNoVtxDisplaced_Photon33_CaloIdL
HLT_Mu33_Ele33_CaloIdL_GsfTrkIdVL
HLT_Mu37_Ele27_CaloIdL_GsfTrkIdVL
HLT_Mu38NoFiltersNoVtx_Photon38_CaloIdL
HLT_Mu42NoFiltersNoVtx_Photon42_CaloIdL
HLT_Mu8_DiEle12_CaloIdL_TrackIdL
HLT_Mu8_Ele8_CaloIdM_TrackIdM_Mass8_PFHT250
HLT_Mu8_Ele8_CaloIdM_TrackIdM_Mass8_PFHT300
HLT_Mu8_TrkIsoVVL_Ele17_CaloIdL_TrackIdL_IsoVL
HLT_Mu8_TrkIsoVVL_Ele23_CaloIdL_TrackIdL_IsoVL_DZ
HLT_Mu8_TrkIsoVVL_Ele23_CaloIdL_TrackIdL_IsoVL
Events stored in this primary dataset were selected because of the presence of one energetic muon and electron or photon.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This MINIAOD dataset was processed from the RAW dataset by the following steps:
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016G-MuonEG-UL2016_MiniAODv2
Output dataset: /MuonEG/Run2016G-UL2016_MiniAODv2-v2/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016G_MuonEG
Output dataset: /MuonEG/Run2016G-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DiMu9_Ele9_CaloIdL_TrackIdL
HLT_Mu12_Photon25_CaloIdL_L1ISO
HLT_Mu12_Photon25_CaloIdL_L1OR
HLT_Mu12_Photon25_CaloIdL
HLT_Mu12_TrkIsoVVL_Ele23_CaloIdL_TrackIdL_IsoVL_DZ
HLT_Mu12_TrkIsoVVL_Ele23_CaloIdL_TrackIdL_IsoVL
HLT_Mu17_Photon22_CaloIdL_L1ISO
HLT_Mu17_Photon30_CaloIdL_L1ISO
HLT_Mu17_Photon35_CaloIdL_L1ISO
HLT_Mu17_TrkIsoVVL_Ele12_CaloIdL_TrackIdL_IsoVL
HLT_Mu23NoFiltersNoVtx_Photon23_CaloIdL
HLT_Mu23_TrkIsoVVL_Ele12_CaloIdL_TrackIdL_IsoVL_DZ
HLT_Mu23_TrkIsoVVL_Ele12_CaloIdL_TrackIdL_IsoVL
HLT_Mu23_TrkIsoVVL_Ele8_CaloIdL_TrackIdL_IsoVL_DZ
HLT_Mu23_TrkIsoVVL_Ele8_CaloIdL_TrackIdL_IsoVL
HLT_Mu27_Ele37_CaloIdL_GsfTrkIdVL
HLT_Mu28NoFiltersNoVtxDisplaced_Photon28_CaloIdL
HLT_Mu30_Ele30_CaloIdL_GsfTrkIdVL
HLT_Mu33NoFiltersNoVtxDisplaced_Photon33_CaloIdL
HLT_Mu33_Ele33_CaloIdL_GsfTrkIdVL
HLT_Mu37_Ele27_CaloIdL_GsfTrkIdVL
HLT_Mu38NoFiltersNoVtx_Photon38_CaloIdL
HLT_Mu42NoFiltersNoVtx_Photon42_CaloIdL
HLT_Mu8_DiEle12_CaloIdL_TrackIdL
HLT_Mu8_Ele8_CaloIdM_TrackIdM_Mass8_PFHT250
HLT_Mu8_Ele8_CaloIdM_TrackIdM_Mass8_PFHT300
HLT_Mu8_TrkIsoVVL_Ele17_CaloIdL_TrackIdL_IsoVL
HLT_Mu8_TrkIsoVVL_Ele23_CaloIdL_TrackIdL_IsoVL_DZ
HLT_Mu8_TrkIsoVVL_Ele23_CaloIdL_TrackIdL_IsoVL
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / PAT
This primary MINIAOD dataset was processed from the RAW dataset by the following step:
Step: PAT
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016G-SingleElectron-UL2016_MiniAODv2\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_Ele105_CaloIdVT_GsfTrkIdT
HLT_Ele115_CaloIdVT_GsfTrkIdT
HLT_Ele145_CaloIdVT_GsfTrkIdT
HLT_Ele15_IsoVVVL_BTagCSV_p067_PFHT400
HLT_Ele15_IsoVVVL_PFHT350_PFMET50
HLT_Ele15_IsoVVVL_PFHT350
HLT_Ele15_IsoVVVL_PFHT400_PFMET50
HLT_Ele15_IsoVVVL_PFHT400
HLT_Ele15_IsoVVVL_PFHT600
HLT_Ele200_CaloIdVT_GsfTrkIdT
HLT_Ele20_eta2p1_WPLoose_Gsf_LooseIsoPFTau28
HLT_Ele22_eta2p1_WPLoose_Gsf_LooseIsoPFTau20_SingleL1
HLT_Ele22_eta2p1_WPLoose_Gsf_LooseIsoPFTau29
HLT_Ele22_eta2p1_WPLoose_Gsf
HLT_Ele23_WPLoose_Gsf_WHbbBoost
HLT_Ele23_WPLoose_Gsf
HLT_Ele24_eta2p1_WPLoose_Gsf_LooseIsoPFTau20_SingleL1
HLT_Ele24_eta2p1_WPLoose_Gsf_LooseIsoPFTau20
HLT_Ele24_eta2p1_WPLoose_Gsf_LooseIsoPFTau30
HLT_Ele24_eta2p1_WPLoose_Gsf
HLT_Ele250_CaloIdVT_GsfTrkIdT
HLT_Ele25_WPTight_Gsf
HLT_Ele25_eta2p1_WPLoose_Gsf
HLT_Ele25_eta2p1_WPTight_Gsf
HLT_Ele27_WPLoose_Gsf_WHbbBoost
HLT_Ele27_WPLoose_Gsf
HLT_Ele27_WPTight_Gsf_L1JetTauSeeded
HLT_Ele27_WPTight_Gsf
HLT_Ele27_eta2p1_WPLoose_Gsf_DoubleMediumIsoPFTau32_Trk1_eta2p1_Reg
HLT_Ele27_eta2p1_WPLoose_Gsf_DoubleMediumIsoPFTau35_Trk1_eta2p1_Reg
HLT_Ele27_eta2p1_WPLoose_Gsf_DoubleMediumIsoPFTau40_Trk1_eta2p1_Reg
HLT_Ele27_eta2p1_WPLoose_Gsf_HT200
HLT_Ele27_eta2p1_WPLoose_Gsf_LooseIsoPFTau20_SingleL1
HLT_Ele27_eta2p1_WPLoose_Gsf
HLT_Ele27_eta2p1_WPTight_Gsf
HLT_Ele300_CaloIdVT_GsfTrkIdT
HLT_Ele30_WPTight_Gsf
HLT_Ele30_eta2p1_WPTight_Gsf
HLT_Ele32_WPTight_Gsf
HLT_Ele32_eta2p1_WPLoose_Gsf_LooseIsoPFTau20_SingleL1
HLT_Ele32_eta2p1_WPTight_Gsf
HLT_Ele35_CaloIdVT_GsfTrkIdT_PFJet150_PFJet50
HLT_Ele35_WPLoose_Gsf
HLT_Ele36_eta2p1_WPLoose_Gsf_LooseIsoPFTau20_SingleL1
HLT_Ele45_CaloIdVT_GsfTrkIdT_PFJet200_PFJet50
HLT_Ele45_WPLoose_Gsf_L1JetTauSeeded
HLT_Ele45_WPLoose_Gsf
HLT_Ele50_CaloIdVT_GsfTrkIdT_PFJet140
HLT_Ele50_CaloIdVT_GsfTrkIdT_PFJet165
HLT_Ele50_IsoVVVL_PFHT400
Events stored in this primary dataset were selected because of the presence of at least one high-energy electron, or at least one high-energy electron and one or more jets or tau.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This MINIAOD dataset was processed from the RAW dataset by the following steps:
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016G-SingleElectron-UL2016_MiniAODv2
Output dataset: /SingleElectron/Run2016G-UL2016_MiniAODv2-v2/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016G_SingleElectron
Output dataset: /SingleElectron/Run2016G-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_Ele105_CaloIdVT_GsfTrkIdT
HLT_Ele115_CaloIdVT_GsfTrkIdT
HLT_Ele145_CaloIdVT_GsfTrkIdT
HLT_Ele15_IsoVVVL_BTagCSV_p067_PFHT400
HLT_Ele15_IsoVVVL_PFHT350_PFMET50
HLT_Ele15_IsoVVVL_PFHT350
HLT_Ele15_IsoVVVL_PFHT400_PFMET50
HLT_Ele15_IsoVVVL_PFHT400
HLT_Ele15_IsoVVVL_PFHT600
HLT_Ele200_CaloIdVT_GsfTrkIdT
HLT_Ele20_eta2p1_WPLoose_Gsf_LooseIsoPFTau28
HLT_Ele22_eta2p1_WPLoose_Gsf_LooseIsoPFTau20_SingleL1
HLT_Ele22_eta2p1_WPLoose_Gsf_LooseIsoPFTau29
HLT_Ele22_eta2p1_WPLoose_Gsf
HLT_Ele23_WPLoose_Gsf_WHbbBoost
HLT_Ele23_WPLoose_Gsf
HLT_Ele24_eta2p1_WPLoose_Gsf_LooseIsoPFTau20_SingleL1
HLT_Ele24_eta2p1_WPLoose_Gsf_LooseIsoPFTau20
HLT_Ele24_eta2p1_WPLoose_Gsf_LooseIsoPFTau30
HLT_Ele24_eta2p1_WPLoose_Gsf
HLT_Ele250_CaloIdVT_GsfTrkIdT
HLT_Ele25_WPTight_Gsf
HLT_Ele25_eta2p1_WPLoose_Gsf
HLT_Ele25_eta2p1_WPTight_Gsf
HLT_Ele27_WPLoose_Gsf_WHbbBoost
HLT_Ele27_WPLoose_Gsf
HLT_Ele27_WPTight_Gsf_L1JetTauSeeded
HLT_Ele27_WPTight_Gsf
HLT_Ele27_eta2p1_WPLoose_Gsf_DoubleMediumIsoPFTau32_Trk1_eta2p1_Reg
HLT_Ele27_eta2p1_WPLoose_Gsf_DoubleMediumIsoPFTau35_Trk1_eta2p1_Reg
HLT_Ele27_eta2p1_WPLoose_Gsf_DoubleMediumIsoPFTau40_Trk1_eta2p1_Reg
HLT_Ele27_eta2p1_WPLoose_Gsf_HT200
HLT_Ele27_eta2p1_WPLoose_Gsf_LooseIsoPFTau20_SingleL1
HLT_Ele27_eta2p1_WPLoose_Gsf
HLT_Ele27_eta2p1_WPTight_Gsf
HLT_Ele300_CaloIdVT_GsfTrkIdT
HLT_Ele30_WPTight_Gsf
HLT_Ele30_eta2p1_WPTight_Gsf
HLT_Ele32_WPTight_Gsf
HLT_Ele32_eta2p1_WPLoose_Gsf_LooseIsoPFTau20_SingleL1
HLT_Ele32_eta2p1_WPTight_Gsf
HLT_Ele35_CaloIdVT_GsfTrkIdT_PFJet150_PFJet50
HLT_Ele35_WPLoose_Gsf
HLT_Ele36_eta2p1_WPLoose_Gsf_LooseIsoPFTau20_SingleL1
HLT_Ele45_CaloIdVT_GsfTrkIdT_PFJet200_PFJet50
HLT_Ele45_WPLoose_Gsf_L1JetTauSeeded
HLT_Ele45_WPLoose_Gsf
HLT_Ele50_CaloIdVT_GsfTrkIdT_PFJet140
HLT_Ele50_CaloIdVT_GsfTrkIdT_PFJet165
HLT_Ele50_IsoVVVL_PFHT400
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / PAT
This primary MINIAOD dataset was processed from the RAW dataset by the following step:
Step: PAT
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016G-SingleMuon-UL2016_MiniAODv2\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DoubleIsoMu17_eta2p1_noDzCut
HLT_DoubleIsoMu17_eta2p1
HLT_IsoMu16_eta2p1_MET30_LooseIsoPFTau50_Trk30_eta2p1
HLT_IsoMu16_eta2p1_MET30
HLT_IsoMu17_eta2p1_LooseIsoPFTau20_SingleL1
HLT_IsoMu17_eta2p1_LooseIsoPFTau20
HLT_IsoMu18
HLT_IsoMu19_eta2p1_LooseIsoPFTau20_SingleL1
HLT_IsoMu19_eta2p1_LooseIsoPFTau20
HLT_IsoMu19_eta2p1_MediumIsoPFTau32_Trk1_eta2p1_Reg
HLT_IsoMu20
HLT_IsoMu21_eta2p1_LooseIsoPFTau20_SingleL1
HLT_IsoMu21_eta2p1_LooseIsoPFTau50_Trk30_eta2p1_SingleL1
HLT_IsoMu21_eta2p1_MediumIsoPFTau32_Trk1_eta2p1_Reg
HLT_IsoMu22_eta2p1
HLT_IsoMu22
HLT_IsoMu24_eta2p1
HLT_IsoMu24
HLT_IsoMu27
HLT_IsoTkMu18
HLT_IsoTkMu20
HLT_IsoTkMu22_eta2p1
HLT_IsoTkMu22
HLT_IsoTkMu24_eta2p1
HLT_IsoTkMu24
HLT_IsoTkMu27
HLT_L1SingleMu16
HLT_L1SingleMu18
HLT_L2Mu10
HLT_Mu10_TrkIsoVVL_DiPFJet40_DEta3p5_MJJ750_HTT350_PFMETNoMu60
HLT_Mu15_IsoVVVL_BTagCSV_p067_PFHT400
HLT_Mu15_IsoVVVL_PFHT350_PFMET50
HLT_Mu15_IsoVVVL_PFHT350
HLT_Mu15_IsoVVVL_PFHT400_PFMET50
HLT_Mu15_IsoVVVL_PFHT400
HLT_Mu15_IsoVVVL_PFHT600
HLT_Mu16_eta2p1_MET30
HLT_Mu20
HLT_Mu24_eta2p1
HLT_Mu27
HLT_Mu28NoFiltersNoVtx_CentralCaloJet40
HLT_Mu28NoFiltersNoVtx_DisplacedJet40_Loose
HLT_Mu300
HLT_Mu30_eta2p1_PFJet150_PFJet50
HLT_Mu33NoFiltersNoVtxDisplaced_DisplacedJet50_Loose
HLT_Mu33NoFiltersNoVtxDisplaced_DisplacedJet50_Tight
HLT_Mu350
HLT_Mu38NoFiltersNoVtxDisplaced_DisplacedJet60_Loose
HLT_Mu38NoFiltersNoVtxDisplaced_DisplacedJet60_Tight
HLT_Mu38NoFiltersNoVtx_DisplacedJet60_Loose
HLT_Mu40_eta2p1_PFJet200_PFJet50
HLT_Mu45_eta2p1
HLT_Mu50_IsoVVVL_PFHT400
HLT_Mu50
HLT_Mu55
HLT_Mu8_TrkIsoVVL_DiPFJet40_DEta3p5_MJJ750_HTT300_PFMETNoMu60
HLT_TkMu17
HLT_TkMu20
HLT_TkMu24_eta2p1
HLT_TkMu27
HLT_TkMu50
Events stored in this primary dataset were selected because of the presence of at least one energetic muon, or at least one muon and one or more jets, tau or high missing transverse momentum.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This MINIAOD dataset was processed from the RAW dataset by the following steps:
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016G-SingleMuon-UL2016_MiniAODv2
Output dataset: /SingleMuon/Run2016G-UL2016_MiniAODv2-v2/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016G_SingleMuon
Output dataset: /SingleMuon/Run2016G-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DoubleIsoMu17_eta2p1_noDzCut
HLT_DoubleIsoMu17_eta2p1
HLT_IsoMu16_eta2p1_MET30_LooseIsoPFTau50_Trk30_eta2p1
HLT_IsoMu16_eta2p1_MET30
HLT_IsoMu17_eta2p1_LooseIsoPFTau20_SingleL1
HLT_IsoMu17_eta2p1_LooseIsoPFTau20
HLT_IsoMu18
HLT_IsoMu19_eta2p1_LooseIsoPFTau20_SingleL1
HLT_IsoMu19_eta2p1_LooseIsoPFTau20
HLT_IsoMu19_eta2p1_MediumIsoPFTau32_Trk1_eta2p1_Reg
HLT_IsoMu20
HLT_IsoMu21_eta2p1_LooseIsoPFTau20_SingleL1
HLT_IsoMu21_eta2p1_LooseIsoPFTau50_Trk30_eta2p1_SingleL1
HLT_IsoMu21_eta2p1_MediumIsoPFTau32_Trk1_eta2p1_Reg
HLT_IsoMu22_eta2p1
HLT_IsoMu22
HLT_IsoMu24_eta2p1
HLT_IsoMu24
HLT_IsoMu27
HLT_IsoTkMu18
HLT_IsoTkMu20
HLT_IsoTkMu22_eta2p1
HLT_IsoTkMu22
HLT_IsoTkMu24_eta2p1
HLT_IsoTkMu24
HLT_IsoTkMu27
HLT_L1SingleMu16
HLT_L1SingleMu18
HLT_L2Mu10
HLT_Mu10_TrkIsoVVL_DiPFJet40_DEta3p5_MJJ750_HTT350_PFMETNoMu60
HLT_Mu15_IsoVVVL_BTagCSV_p067_PFHT400
HLT_Mu15_IsoVVVL_PFHT350_PFMET50
HLT_Mu15_IsoVVVL_PFHT350
HLT_Mu15_IsoVVVL_PFHT400_PFMET50
HLT_Mu15_IsoVVVL_PFHT400
HLT_Mu15_IsoVVVL_PFHT600
HLT_Mu16_eta2p1_MET30
HLT_Mu20
HLT_Mu24_eta2p1
HLT_Mu27
HLT_Mu28NoFiltersNoVtx_CentralCaloJet40
HLT_Mu28NoFiltersNoVtx_DisplacedJet40_Loose
HLT_Mu300
HLT_Mu30_eta2p1_PFJet150_PFJet50
HLT_Mu33NoFiltersNoVtxDisplaced_DisplacedJet50_Loose
HLT_Mu33NoFiltersNoVtxDisplaced_DisplacedJet50_Tight
HLT_Mu350
HLT_Mu38NoFiltersNoVtxDisplaced_DisplacedJet60_Loose
HLT_Mu38NoFiltersNoVtxDisplaced_DisplacedJet60_Tight
HLT_Mu38NoFiltersNoVtx_DisplacedJet60_Loose
HLT_Mu40_eta2p1_PFJet200_PFJet50
HLT_Mu45_eta2p1
HLT_Mu50_IsoVVVL_PFHT400
HLT_Mu50
HLT_Mu55
HLT_Mu8_TrkIsoVVL_DiPFJet40_DEta3p5_MJJ750_HTT300_PFMETNoMu60
HLT_TkMu17
HLT_TkMu20
HLT_TkMu24_eta2p1
HLT_TkMu27
HLT_TkMu50
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / PAT
This primary MINIAOD dataset was processed from the RAW dataset by the following step:
Step: PAT
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016G-SinglePhoton-UL2016_MiniAODv2\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_Photon120_R9Id90_HE10_Iso40_EBOnly_PFMET40
HLT_Photon120_R9Id90_HE10_Iso40_EBOnly_VBF
HLT_Photon120_R9Id90_HE10_IsoM
HLT_Photon120
HLT_Photon135_PFMET100
HLT_Photon165_HE10
HLT_Photon165_R9Id90_HE10_IsoM
HLT_Photon175
HLT_Photon22_R9Id90_HE10_Iso40_EBOnly_PFMET40
HLT_Photon22_R9Id90_HE10_Iso40_EBOnly_VBF
HLT_Photon22_R9Id90_HE10_IsoM
HLT_Photon22
HLT_Photon250_NoHE
HLT_Photon300_NoHE
HLT_Photon30_R9Id90_HE10_IsoM
HLT_Photon30
HLT_Photon36_R9Id90_HE10_Iso40_EBOnly_PFMET40
HLT_Photon36_R9Id90_HE10_Iso40_EBOnly_VBF
HLT_Photon36_R9Id90_HE10_IsoM
HLT_Photon36
HLT_Photon500
HLT_Photon50_R9Id90_HE10_Iso40_EBOnly_PFMET40
HLT_Photon50_R9Id90_HE10_Iso40_EBOnly_VBF
HLT_Photon50_R9Id90_HE10_IsoM
HLT_Photon50
HLT_Photon600
HLT_Photon75_R9Id90_HE10_Iso40_EBOnly_PFMET40
HLT_Photon75_R9Id90_HE10_Iso40_EBOnly_VBF
HLT_Photon75_R9Id90_HE10_IsoM
HLT_Photon75
HLT_Photon90_CaloIdL_PFHT500
HLT_Photon90_CaloIdL_PFHT600
HLT_Photon90_R9Id90_HE10_Iso40_EBOnly_PFMET40
HLT_Photon90_R9Id90_HE10_Iso40_EBOnly_VBF
HLT_Photon90_R9Id90_HE10_IsoM
HLT_Photon90
Events stored in this primary dataset were selected because of the presence of one energetic photon, or one photon and high missing transverse momentum.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This MINIAOD dataset was processed from the RAW dataset by the following steps:
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016G-SinglePhoton-UL2016_MiniAODv2
Output dataset: /SinglePhoton/Run2016G-UL2016_MiniAODv2-v3/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016G_SinglePhoton
Output dataset: /SinglePhoton/Run2016G-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_Photon120_R9Id90_HE10_Iso40_EBOnly_PFMET40
HLT_Photon120_R9Id90_HE10_Iso40_EBOnly_VBF
HLT_Photon120_R9Id90_HE10_IsoM
HLT_Photon120
HLT_Photon135_PFMET100
HLT_Photon165_HE10
HLT_Photon165_R9Id90_HE10_IsoM
HLT_Photon175
HLT_Photon22_R9Id90_HE10_Iso40_EBOnly_PFMET40
HLT_Photon22_R9Id90_HE10_Iso40_EBOnly_VBF
HLT_Photon22_R9Id90_HE10_IsoM
HLT_Photon22
HLT_Photon250_NoHE
HLT_Photon300_NoHE
HLT_Photon30_R9Id90_HE10_IsoM
HLT_Photon30
HLT_Photon36_R9Id90_HE10_Iso40_EBOnly_PFMET40
HLT_Photon36_R9Id90_HE10_Iso40_EBOnly_VBF
HLT_Photon36_R9Id90_HE10_IsoM
HLT_Photon36
HLT_Photon500
HLT_Photon50_R9Id90_HE10_Iso40_EBOnly_PFMET40
HLT_Photon50_R9Id90_HE10_Iso40_EBOnly_VBF
HLT_Photon50_R9Id90_HE10_IsoM
HLT_Photon50
HLT_Photon600
HLT_Photon75_R9Id90_HE10_Iso40_EBOnly_PFMET40
HLT_Photon75_R9Id90_HE10_Iso40_EBOnly_VBF
HLT_Photon75_R9Id90_HE10_IsoM
HLT_Photon75
HLT_Photon90_CaloIdL_PFHT500
HLT_Photon90_CaloIdL_PFHT600
HLT_Photon90_R9Id90_HE10_Iso40_EBOnly_PFMET40
HLT_Photon90_R9Id90_HE10_Iso40_EBOnly_VBF
HLT_Photon90_R9Id90_HE10_IsoM
HLT_Photon90
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / PAT
This primary MINIAOD dataset was processed from the RAW dataset by the following step:
Step: PAT
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016G-Tau-UL2016_MiniAODv2\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DoubleMediumCombinedIsoPFTau35_Trk1_eta2p1_Reg
HLT_DoubleMediumCombinedIsoPFTau40_Trk1_eta2p1_Reg
HLT_DoubleMediumCombinedIsoPFTau40_Trk1_eta2p1
HLT_DoubleMediumIsoPFTau32_Trk1_eta2p1_Reg
HLT_DoubleMediumIsoPFTau35_Trk1_eta2p1_Reg
HLT_DoubleMediumIsoPFTau40_Trk1_eta2p1_Reg
HLT_DoubleTightCombinedIsoPFTau35_Trk1_eta2p1_Reg
HLT_DoubleTightCombinedIsoPFTau40_Trk1_eta2p1_Reg
HLT_DoubleTightCombinedIsoPFTau40_Trk1_eta2p1
HLT_IsoMu19_eta2p1_LooseCombinedIsoPFTau20
HLT_IsoMu19_eta2p1_MediumCombinedIsoPFTau32_Trk1_eta2p1_Reg
HLT_IsoMu19_eta2p1_TightCombinedIsoPFTau32_Trk1_eta2p1_Reg
HLT_IsoMu21_eta2p1_MediumCombinedIsoPFTau32_Trk1_eta2p1_Reg
HLT_IsoMu21_eta2p1_TightCombinedIsoPFTau32_Trk1_eta2p1_Reg
HLT_LooseIsoPFTau50_Trk30_eta2p1_MET110
HLT_LooseIsoPFTau50_Trk30_eta2p1_MET120
HLT_LooseIsoPFTau50_Trk30_eta2p1_MET80
HLT_LooseIsoPFTau50_Trk30_eta2p1_MET90
HLT_LooseIsoPFTau50_Trk30_eta2p1
HLT_PFTau120_eta2p1
HLT_PFTau140_eta2p1
HLT_VLooseIsoPFTau120_Trk50_eta2p1
HLT_VLooseIsoPFTau140_Trk50_eta2p1
Events stored in this primary dataset were selected because of the presence of at least one tau, or one tau and muon or high missing transverse momentum.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This MINIAOD dataset was processed from the RAW dataset by the following steps:
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016G-Tau-UL2016_MiniAODv2
Output dataset: /Tau/Run2016G-UL2016_MiniAODv2-v1/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016G_Tau
Output dataset: /Tau/Run2016G-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DoubleMediumCombinedIsoPFTau35_Trk1_eta2p1_Reg
HLT_DoubleMediumCombinedIsoPFTau40_Trk1_eta2p1_Reg
HLT_DoubleMediumCombinedIsoPFTau40_Trk1_eta2p1
HLT_DoubleMediumIsoPFTau32_Trk1_eta2p1_Reg
HLT_DoubleMediumIsoPFTau35_Trk1_eta2p1_Reg
HLT_DoubleMediumIsoPFTau40_Trk1_eta2p1_Reg
HLT_DoubleTightCombinedIsoPFTau35_Trk1_eta2p1_Reg
HLT_DoubleTightCombinedIsoPFTau40_Trk1_eta2p1_Reg
HLT_DoubleTightCombinedIsoPFTau40_Trk1_eta2p1
HLT_IsoMu19_eta2p1_LooseCombinedIsoPFTau20
HLT_IsoMu19_eta2p1_MediumCombinedIsoPFTau32_Trk1_eta2p1_Reg
HLT_IsoMu19_eta2p1_TightCombinedIsoPFTau32_Trk1_eta2p1_Reg
HLT_IsoMu21_eta2p1_MediumCombinedIsoPFTau32_Trk1_eta2p1_Reg
HLT_IsoMu21_eta2p1_TightCombinedIsoPFTau32_Trk1_eta2p1_Reg
HLT_LooseIsoPFTau50_Trk30_eta2p1_MET110
HLT_LooseIsoPFTau50_Trk30_eta2p1_MET120
HLT_LooseIsoPFTau50_Trk30_eta2p1_MET80
HLT_LooseIsoPFTau50_Trk30_eta2p1_MET90
HLT_LooseIsoPFTau50_Trk30_eta2p1
HLT_PFTau120_eta2p1
HLT_PFTau140_eta2p1
HLT_VLooseIsoPFTau120_Trk50_eta2p1
HLT_VLooseIsoPFTau140_Trk50_eta2p1
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / PAT
This primary MINIAOD dataset was processed from the RAW dataset by the following step:
Step: PAT
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016G-ZeroBias-UL2016_MiniAODv2\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_Random
This primary dataset is an unbiased sample of all collisions.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This MINIAOD dataset was processed from the RAW dataset by the following steps:
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016G-ZeroBias-UL2016_MiniAODv2
Output dataset: /ZeroBias/Run2016G-UL2016_MiniAODv2-v1/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016G_ZeroBias
Output dataset: /ZeroBias/Run2016G-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_Random
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / NANO
This primary NANOAOD dataset was processed from the MINIAOD dataset by the following step:
Step: NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016G-BTagCSV-UL2016_MiniAODv2_NanoAODv9\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DoubleJet90_Double30_DoubleBTagCSV_p087
HLT_DoubleJet90_Double30_TripleBTagCSV_p087
HLT_DoubleJetsC100_DoubleBTagCSV_p014_DoublePFJetsC100MaxDeta1p6
HLT_DoubleJetsC100_DoubleBTagCSV_p026_DoublePFJetsC160
HLT_DoubleJetsC100_SingleBTagCSV_p014_SinglePFJetC350
HLT_DoubleJetsC100_SingleBTagCSV_p014
HLT_DoubleJetsC100_SingleBTagCSV_p026_SinglePFJetC350
HLT_DoubleJetsC100_SingleBTagCSV_p026
HLT_DoubleJetsC112_DoubleBTagCSV_p014_DoublePFJetsC112MaxDeta1p6
HLT_DoubleJetsC112_DoubleBTagCSV_p026_DoublePFJetsC172
HLT_QuadJet45_DoubleBTagCSV_p087
HLT_QuadJet45_TripleBTagCSV_p087
HLT_QuadPFJet_BTagCSV_p016_VBF_Mqq460
HLT_QuadPFJet_BTagCSV_p016_VBF_Mqq500
HLT_QuadPFJet_BTagCSV_p016_p11_VBF_Mqq200
HLT_QuadPFJet_BTagCSV_p016_p11_VBF_Mqq240
HLT_Rsq0p02_MR300_TriPFJet80_60_40_BTagCSV_p063_p20_Mbb60_200
HLT_Rsq0p02_MR300_TriPFJet80_60_40_DoubleBTagCSV_p063_Mbb60_200
HLT_Rsq0p02_MR400_TriPFJet80_60_40_DoubleBTagCSV_p063_Mbb60_200
HLT_Rsq0p02_MR450_TriPFJet80_60_40_DoubleBTagCSV_p063_Mbb60_200
HLT_Rsq0p02_MR500_TriPFJet80_60_40_DoubleBTagCSV_p063_Mbb60_200
HLT_Rsq0p02_MR550_TriPFJet80_60_40_DoubleBTagCSV_p063_Mbb60_200
Events stored in this primary dataset were selected because of the presence of at least two jets, tagged as b-quark jets with combined secondary vertex.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This NANOAOD dataset was processed from the RAW dataset by the following steps:
Step NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016G-BTagCSV-UL2016_MiniAODv2_NanoAODv9
Output dataset: /BTagCSV/Run2016G-UL2016_MiniAODv2_NanoAODv9-v1/NANOAOD\n
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016G-BTagCSV-UL2016_MiniAODv2
Output dataset: /BTagCSV/Run2016G-UL2016_MiniAODv2-v1/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016G_BTagCSV
Output dataset: /BTagCSV/Run2016G-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DoubleJet90_Double30_DoubleBTagCSV_p087
HLT_DoubleJet90_Double30_TripleBTagCSV_p087
HLT_DoubleJetsC100_DoubleBTagCSV_p014_DoublePFJetsC100MaxDeta1p6
HLT_DoubleJetsC100_DoubleBTagCSV_p026_DoublePFJetsC160
HLT_DoubleJetsC100_SingleBTagCSV_p014_SinglePFJetC350
HLT_DoubleJetsC100_SingleBTagCSV_p014
HLT_DoubleJetsC100_SingleBTagCSV_p026_SinglePFJetC350
HLT_DoubleJetsC100_SingleBTagCSV_p026
HLT_DoubleJetsC112_DoubleBTagCSV_p014_DoublePFJetsC112MaxDeta1p6
HLT_DoubleJetsC112_DoubleBTagCSV_p026_DoublePFJetsC172
HLT_QuadJet45_DoubleBTagCSV_p087
HLT_QuadJet45_TripleBTagCSV_p087
HLT_QuadPFJet_BTagCSV_p016_VBF_Mqq460
HLT_QuadPFJet_BTagCSV_p016_VBF_Mqq500
HLT_QuadPFJet_BTagCSV_p016_p11_VBF_Mqq200
HLT_QuadPFJet_BTagCSV_p016_p11_VBF_Mqq240
HLT_Rsq0p02_MR300_TriPFJet80_60_40_BTagCSV_p063_p20_Mbb60_200
HLT_Rsq0p02_MR300_TriPFJet80_60_40_DoubleBTagCSV_p063_Mbb60_200
HLT_Rsq0p02_MR400_TriPFJet80_60_40_DoubleBTagCSV_p063_Mbb60_200
HLT_Rsq0p02_MR450_TriPFJet80_60_40_DoubleBTagCSV_p063_Mbb60_200
HLT_Rsq0p02_MR500_TriPFJet80_60_40_DoubleBTagCSV_p063_Mbb60_200
HLT_Rsq0p02_MR550_TriPFJet80_60_40_DoubleBTagCSV_p063_Mbb60_200
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / NANO
This primary NANOAOD dataset was processed from the MINIAOD dataset by the following step:
Step: NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016G-BTagMu-UL2016_MiniAODv2_NanoAODv9\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_BTagMu_AK8Jet300_Mu5
HLT_BTagMu_DiJet110_Mu5
HLT_BTagMu_DiJet170_Mu5
HLT_BTagMu_DiJet20_Mu5
HLT_BTagMu_DiJet40_Mu5
HLT_BTagMu_DiJet70_Mu5
HLT_BTagMu_Jet300_Mu5
Events stored in this primary dataset were selected because of the presence of a muon from the b-quark decay, and one or more jets.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This NANOAOD dataset was processed from the RAW dataset by the following steps:
Step NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016G-BTagMu-UL2016_MiniAODv2_NanoAODv9
Output dataset: /BTagMu/Run2016G-UL2016_MiniAODv2_NanoAODv9-v1/NANOAOD\n
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016G-BTagMu-UL2016_MiniAODv2
Output dataset: /BTagMu/Run2016G-UL2016_MiniAODv2-v1/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016G_BTagMu
Output dataset: /BTagMu/Run2016G-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_BTagMu_AK8Jet300_Mu5
HLT_BTagMu_DiJet110_Mu5
HLT_BTagMu_DiJet170_Mu5
HLT_BTagMu_DiJet20_Mu5
HLT_BTagMu_DiJet40_Mu5
HLT_BTagMu_DiJet70_Mu5
HLT_BTagMu_Jet300_Mu5
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / NANO
This primary NANOAOD dataset was processed from the MINIAOD dataset by the following step:
Step: NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016G-Charmonium-UL2016_MiniAODv2_NanoAODv9\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_Dimuon0_Jpsi_Muon
HLT_Dimuon0er16_Jpsi_NoOS_NoVertexing
HLT_Dimuon0er16_Jpsi_NoVertexing
HLT_Dimuon10_Jpsi_Barrel
HLT_Dimuon13_PsiPrime
HLT_Dimuon16_Jpsi
HLT_Dimuon20_Jpsi
HLT_Dimuon6_Jpsi_NoVertexing
HLT_Dimuon8_PsiPrime_Barrel
HLT_DoubleMu4_3_Bs
HLT_DoubleMu4_3_Jpsi_Displaced
HLT_DoubleMu4_JpsiTrk_Displaced
HLT_DoubleMu4_PsiPrimeTrk_Displaced
HLT_Mu7p5_L2Mu2_Jpsi
HLT_Mu7p5_Track2_Jpsi
HLT_Mu7p5_Track3p5_Jpsi
HLT_Mu7p5_Track7_Jpsi
HLT_QuadMuon0_Dimuon0_Jpsi
Events stored in this primary dataset were selected because of the presence of at least two muons, or a muon and a track with some requirements in the invariant mass for selecting low-mass resonances.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This NANOAOD dataset was processed from the RAW dataset by the following steps:
Step NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016G-Charmonium-UL2016_MiniAODv2_NanoAODv9
Output dataset: /Charmonium/Run2016G-UL2016_MiniAODv2_NanoAODv9-v1/NANOAOD\n
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016G-Charmonium-UL2016_MiniAODv2
Output dataset: /Charmonium/Run2016G-UL2016_MiniAODv2-v1/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016G_Charmonium
Output dataset: /Charmonium/Run2016G-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_Dimuon0_Jpsi_Muon
HLT_Dimuon0er16_Jpsi_NoOS_NoVertexing
HLT_Dimuon0er16_Jpsi_NoVertexing
HLT_Dimuon10_Jpsi_Barrel
HLT_Dimuon13_PsiPrime
HLT_Dimuon16_Jpsi
HLT_Dimuon20_Jpsi
HLT_Dimuon6_Jpsi_NoVertexing
HLT_Dimuon8_PsiPrime_Barrel
HLT_DoubleMu4_3_Bs
HLT_DoubleMu4_3_Jpsi_Displaced
HLT_DoubleMu4_JpsiTrk_Displaced
HLT_DoubleMu4_PsiPrimeTrk_Displaced
HLT_Mu7p5_L2Mu2_Jpsi
HLT_Mu7p5_Track2_Jpsi
HLT_Mu7p5_Track3p5_Jpsi
HLT_Mu7p5_Track7_Jpsi
HLT_QuadMuon0_Dimuon0_Jpsi
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / NANO
This primary NANOAOD dataset was processed from the MINIAOD dataset by the following step:
Step: NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016G-DisplacedJet-UL2016_MiniAODv2_NanoAODv9\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_HT200_DisplacedDijet40_DisplacedTrack
HLT_HT200
HLT_HT250_DisplacedDijet40_DisplacedTrack
HLT_HT275
HLT_HT325
HLT_HT350_DisplacedDijet40_DisplacedTrack
HLT_HT350_DisplacedDijet40_Inclusive
HLT_HT350_DisplacedDijet80_DisplacedTrack
HLT_HT350_DisplacedDijet80_Tight_DisplacedTrack
HLT_HT400_DisplacedDijet40_Inclusive
HLT_HT425
HLT_HT500_DisplacedDijet40_Inclusive
HLT_HT550_DisplacedDijet40_Inclusive
HLT_HT550_DisplacedDijet80_Inclusive
HLT_HT575
HLT_HT650_DisplacedDijet80_Inclusive
HLT_HT750_DisplacedDijet80_Inclusive
HLT_VBF_DisplacedJet40_DisplacedTrack_2TrackIP2DSig5
HLT_VBF_DisplacedJet40_DisplacedTrack
HLT_VBF_DisplacedJet40_Hadronic_2PromptTrack
HLT_VBF_DisplacedJet40_Hadronic
HLT_VBF_DisplacedJet40_TightID_DisplacedTrack
HLT_VBF_DisplacedJet40_TightID_Hadronic
HLT_VBF_DisplacedJet40_VTightID_DisplacedTrack
HLT_VBF_DisplacedJet40_VTightID_Hadronic
HLT_VBF_DisplacedJet40_VVTightID_DisplacedTrack
HLT_VBF_DisplacedJet40_VVTightID_Hadronic
Events stored in this primary dataset were selected because of the presence of one or more displaced jets, or a displaced jet and/or high scalar sum of the jet transverse momenta (HT).
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This NANOAOD dataset was processed from the RAW dataset by the following steps:
Step NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016G-DisplacedJet-UL2016_MiniAODv2_NanoAODv9
Output dataset: /DisplacedJet/Run2016G-UL2016_MiniAODv2_NanoAODv9-v1/NANOAOD\n
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016G-DisplacedJet-UL2016_MiniAODv2
Output dataset: /DisplacedJet/Run2016G-UL2016_MiniAODv2-v1/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016G_DisplacedJet
Output dataset: /DisplacedJet/Run2016G-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_HT200_DisplacedDijet40_DisplacedTrack
HLT_HT200
HLT_HT250_DisplacedDijet40_DisplacedTrack
HLT_HT275
HLT_HT325
HLT_HT350_DisplacedDijet40_DisplacedTrack
HLT_HT350_DisplacedDijet40_Inclusive
HLT_HT350_DisplacedDijet80_DisplacedTrack
HLT_HT350_DisplacedDijet80_Tight_DisplacedTrack
HLT_HT400_DisplacedDijet40_Inclusive
HLT_HT425
HLT_HT500_DisplacedDijet40_Inclusive
HLT_HT550_DisplacedDijet40_Inclusive
HLT_HT550_DisplacedDijet80_Inclusive
HLT_HT575
HLT_HT650_DisplacedDijet80_Inclusive
HLT_HT750_DisplacedDijet80_Inclusive
HLT_VBF_DisplacedJet40_DisplacedTrack_2TrackIP2DSig5
HLT_VBF_DisplacedJet40_DisplacedTrack
HLT_VBF_DisplacedJet40_Hadronic_2PromptTrack
HLT_VBF_DisplacedJet40_Hadronic
HLT_VBF_DisplacedJet40_TightID_DisplacedTrack
HLT_VBF_DisplacedJet40_TightID_Hadronic
HLT_VBF_DisplacedJet40_VTightID_DisplacedTrack
HLT_VBF_DisplacedJet40_VTightID_Hadronic
HLT_VBF_DisplacedJet40_VVTightID_DisplacedTrack
HLT_VBF_DisplacedJet40_VVTightID_Hadronic
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / NANO
This primary NANOAOD dataset was processed from the MINIAOD dataset by the following step:
Step: NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016G-DoubleEG-UL2016_MiniAODv2_NanoAODv9\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_Diphoton30EB_18EB_R9Id_OR_IsoCaloId_AND_HE_R9Id_DoublePixelVeto_Mass55
HLT_Diphoton30PV_18PV_R9Id_AND_IsoCaloId_AND_HE_R9Id_DoublePixelVeto_Mass55
HLT_Diphoton30_18_R9Id_OR_IsoCaloId_AND_HE_R9Id_DoublePixelSeedMatch_Mass70
HLT_Diphoton30_18_R9Id_OR_IsoCaloId_AND_HE_R9Id_Mass90
HLT_Diphoton30_18_Solid_R9Id_AND_IsoCaloId_AND_HE_R9Id_Mass55
HLT_DoubleEle24_22_eta2p1_WPLoose_Gsf
HLT_DoubleEle33_CaloIdL_GsfTrkIdVL_MW
HLT_DoubleEle33_CaloIdL_GsfTrkIdVL
HLT_DoubleEle33_CaloIdL_MW
HLT_DoubleEle33_CaloIdL
HLT_DoubleEle37_Ele27_CaloIdL_GsfTrkIdVL
HLT_DoubleEle8_CaloIdM_TrackIdM_Mass8_PFHT250
HLT_DoubleEle8_CaloIdM_TrackIdM_Mass8_PFHT300
HLT_DoublePhoton60
HLT_DoublePhoton85
HLT_ECALHT800
HLT_Ele10_CaloIdM_TrackIdM_CentralPFJet30_BTagCSV_p13
HLT_Ele12_CaloIdL_TrackIdL_IsoVL_PFJet30
HLT_Ele12_CaloIdL_TrackIdL_IsoVL
HLT_Ele12_CaloIdM_TrackIdM_PFJet30
HLT_Ele16_Ele12_Ele8_CaloIdL_TrackIdL
HLT_Ele17_CaloIdL_GsfTrkIdVL
HLT_Ele17_CaloIdL_TrackIdL_IsoVL_PFJet30
HLT_Ele17_CaloIdL_TrackIdL_IsoVL
HLT_Ele17_CaloIdM_TrackIdM_PFJet30
HLT_Ele17_Ele12_CaloIdL_TrackIdL_IsoVL_DZ
HLT_Ele17_Ele12_CaloIdL_TrackIdL_IsoVL
HLT_Ele23_CaloIdL_TrackIdL_IsoVL_PFJet30
HLT_Ele23_CaloIdL_TrackIdL_IsoVL
HLT_Ele23_CaloIdM_TrackIdM_PFJet30
HLT_Ele23_Ele12_CaloIdL_TrackIdL_IsoVL_DZ_L1JetTauSeeded
HLT_Ele23_Ele12_CaloIdL_TrackIdL_IsoVL_DZ
HLT_Ele23_Ele12_CaloIdL_TrackIdL_IsoVL
HLT_Ele27_HighEta_Ele20_Mass55
HLT_Ele30WP60_Ele8_Mass55
HLT_Ele30WP60_SC4_Mass55
HLT_Ele8_CaloIdL_TrackIdL_IsoVL_PFJet30
HLT_Ele8_CaloIdM_TrackIdM_PFJet30
HLT_Photon26_R9Id85_OR_CaloId24b40e_Iso50T80L_Photon16_AND_HE10_R9Id65_Eta2_Mass60
HLT_Photon36_R9Id85_OR_CaloId24b40e_Iso50T80L_Photon22_AND_HE10_R9Id65_Eta2_Mass15
HLT_Photon42_R9Id85_OR_CaloId24b40e_Iso50T80L_Photon25_AND_HE10_R9Id65_Eta2_Mass15
Events stored in this primary dataset were selected because of the presence of different combinations of energetic photons, electrons and/or jets.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This NANOAOD dataset was processed from the RAW dataset by the following steps:
Step NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016G-DoubleEG-UL2016_MiniAODv2_NanoAODv9
Output dataset: /DoubleEG/Run2016G-UL2016_MiniAODv2_NanoAODv9-v1/NANOAOD\n
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016G-DoubleEG-UL2016_MiniAODv2
Output dataset: /DoubleEG/Run2016G-UL2016_MiniAODv2-v1/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016G_DoubleEG
Output dataset: /DoubleEG/Run2016G-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_Diphoton30EB_18EB_R9Id_OR_IsoCaloId_AND_HE_R9Id_DoublePixelVeto_Mass55
HLT_Diphoton30PV_18PV_R9Id_AND_IsoCaloId_AND_HE_R9Id_DoublePixelVeto_Mass55
HLT_Diphoton30_18_R9Id_OR_IsoCaloId_AND_HE_R9Id_DoublePixelSeedMatch_Mass70
HLT_Diphoton30_18_R9Id_OR_IsoCaloId_AND_HE_R9Id_Mass90
HLT_Diphoton30_18_Solid_R9Id_AND_IsoCaloId_AND_HE_R9Id_Mass55
HLT_DoubleEle24_22_eta2p1_WPLoose_Gsf
HLT_DoubleEle33_CaloIdL_GsfTrkIdVL_MW
HLT_DoubleEle33_CaloIdL_GsfTrkIdVL
HLT_DoubleEle33_CaloIdL_MW
HLT_DoubleEle33_CaloIdL
HLT_DoubleEle37_Ele27_CaloIdL_GsfTrkIdVL
HLT_DoubleEle8_CaloIdM_TrackIdM_Mass8_PFHT250
HLT_DoubleEle8_CaloIdM_TrackIdM_Mass8_PFHT300
HLT_DoublePhoton60
HLT_DoublePhoton85
HLT_ECALHT800
HLT_Ele10_CaloIdM_TrackIdM_CentralPFJet30_BTagCSV_p13
HLT_Ele12_CaloIdL_TrackIdL_IsoVL_PFJet30
HLT_Ele12_CaloIdL_TrackIdL_IsoVL
HLT_Ele12_CaloIdM_TrackIdM_PFJet30
HLT_Ele16_Ele12_Ele8_CaloIdL_TrackIdL
HLT_Ele17_CaloIdL_GsfTrkIdVL
HLT_Ele17_CaloIdL_TrackIdL_IsoVL_PFJet30
HLT_Ele17_CaloIdL_TrackIdL_IsoVL
HLT_Ele17_CaloIdM_TrackIdM_PFJet30
HLT_Ele17_Ele12_CaloIdL_TrackIdL_IsoVL_DZ
HLT_Ele17_Ele12_CaloIdL_TrackIdL_IsoVL
HLT_Ele23_CaloIdL_TrackIdL_IsoVL_PFJet30
HLT_Ele23_CaloIdL_TrackIdL_IsoVL
HLT_Ele23_CaloIdM_TrackIdM_PFJet30
HLT_Ele23_Ele12_CaloIdL_TrackIdL_IsoVL_DZ_L1JetTauSeeded
HLT_Ele23_Ele12_CaloIdL_TrackIdL_IsoVL_DZ
HLT_Ele23_Ele12_CaloIdL_TrackIdL_IsoVL
HLT_Ele27_HighEta_Ele20_Mass55
HLT_Ele30WP60_Ele8_Mass55
HLT_Ele30WP60_SC4_Mass55
HLT_Ele8_CaloIdL_TrackIdL_IsoVL_PFJet30
HLT_Ele8_CaloIdM_TrackIdM_PFJet30
HLT_Photon26_R9Id85_OR_CaloId24b40e_Iso50T80L_Photon16_AND_HE10_R9Id65_Eta2_Mass60
HLT_Photon36_R9Id85_OR_CaloId24b40e_Iso50T80L_Photon22_AND_HE10_R9Id65_Eta2_Mass15
HLT_Photon42_R9Id85_OR_CaloId24b40e_Iso50T80L_Photon25_AND_HE10_R9Id65_Eta2_Mass15
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / NANO
This primary NANOAOD dataset was processed from the MINIAOD dataset by the following step:
Step: NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016G-DoubleMuon-UL2016_MiniAODv2_NanoAODv9\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DoubleMu0
HLT_DoubleMu18NoFiltersNoVtx
HLT_DoubleMu23NoFiltersNoVtxDisplaced
HLT_DoubleMu28NoFiltersNoVtxDisplaced
HLT_DoubleMu33NoFiltersNoVtx
HLT_DoubleMu38NoFiltersNoVtx
HLT_DoubleMu8_Mass8_PFHT250
HLT_DoubleMu8_Mass8_PFHT300
HLT_L2DoubleMu23_NoVertex
HLT_L2DoubleMu28_NoVertex_2Cha_Angle2p5_Mass10
HLT_L2DoubleMu38_NoVertex_2Cha_Angle2p5_Mass10
HLT_Mu10_CentralPFJet30_BTagCSV_p13
HLT_Mu17_Mu8_DZ
HLT_Mu17_Mu8_SameSign_DZ
HLT_Mu17_Mu8_SameSign
HLT_Mu17_Mu8
HLT_Mu17_TkMu8_DZ
HLT_Mu17_TrkIsoVVL_Mu8_TrkIsoVVL_DZ
HLT_Mu17_TrkIsoVVL_Mu8_TrkIsoVVL
HLT_Mu17_TrkIsoVVL_TkMu8_TrkIsoVVL_DZ
HLT_Mu17_TrkIsoVVL_TkMu8_TrkIsoVVL
HLT_Mu17_TrkIsoVVL
HLT_Mu17
HLT_Mu20_Mu10_DZ
HLT_Mu20_Mu10_SameSign_DZ
HLT_Mu20_Mu10_SameSign
HLT_Mu20_Mu10
HLT_Mu27_TkMu8
HLT_Mu30_TkMu11
HLT_Mu3_PFJet40
HLT_Mu40_TkMu11
HLT_Mu8_TrkIsoVVL
HLT_Mu8
HLT_TkMu17_TrkIsoVVL_TkMu8_TrkIsoVVL_DZ
HLT_TkMu17_TrkIsoVVL_TkMu8_TrkIsoVVL
HLT_TripleMu_12_10_5
HLT_TripleMu_5_3_3_DZ_Mass3p8
HLT_TripleMu_5_3_3
HLT_TrkMu15_DoubleTrkMu5NoFiltersNoVtx
HLT_TrkMu17_DoubleTrkMu8NoFiltersNoVtx
Events stored in this primary dataset were selected because of the presence of at least two energetic muons in the event.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This NANOAOD dataset was processed from the RAW dataset by the following steps:
Step NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016G-DoubleMuon-UL2016_MiniAODv2_NanoAODv9
Output dataset: /DoubleMuon/Run2016G-UL2016_MiniAODv2_NanoAODv9-v2/NANOAOD\n
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016G-DoubleMuon-UL2016_MiniAODv2
Output dataset: /DoubleMuon/Run2016G-UL2016_MiniAODv2-v1/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016G_DoubleMuon
Output dataset: /DoubleMuon/Run2016G-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DoubleMu0
HLT_DoubleMu18NoFiltersNoVtx
HLT_DoubleMu23NoFiltersNoVtxDisplaced
HLT_DoubleMu28NoFiltersNoVtxDisplaced
HLT_DoubleMu33NoFiltersNoVtx
HLT_DoubleMu38NoFiltersNoVtx
HLT_DoubleMu8_Mass8_PFHT250
HLT_DoubleMu8_Mass8_PFHT300
HLT_L2DoubleMu23_NoVertex
HLT_L2DoubleMu28_NoVertex_2Cha_Angle2p5_Mass10
HLT_L2DoubleMu38_NoVertex_2Cha_Angle2p5_Mass10
HLT_Mu10_CentralPFJet30_BTagCSV_p13
HLT_Mu17_Mu8_DZ
HLT_Mu17_Mu8_SameSign_DZ
HLT_Mu17_Mu8_SameSign
HLT_Mu17_Mu8
HLT_Mu17_TkMu8_DZ
HLT_Mu17_TrkIsoVVL_Mu8_TrkIsoVVL_DZ
HLT_Mu17_TrkIsoVVL_Mu8_TrkIsoVVL
HLT_Mu17_TrkIsoVVL_TkMu8_TrkIsoVVL_DZ
HLT_Mu17_TrkIsoVVL_TkMu8_TrkIsoVVL
HLT_Mu17_TrkIsoVVL
HLT_Mu17
HLT_Mu20_Mu10_DZ
HLT_Mu20_Mu10_SameSign_DZ
HLT_Mu20_Mu10_SameSign
HLT_Mu20_Mu10
HLT_Mu27_TkMu8
HLT_Mu30_TkMu11
HLT_Mu3_PFJet40
HLT_Mu40_TkMu11
HLT_Mu8_TrkIsoVVL
HLT_Mu8
HLT_TkMu17_TrkIsoVVL_TkMu8_TrkIsoVVL_DZ
HLT_TkMu17_TrkIsoVVL_TkMu8_TrkIsoVVL
HLT_TripleMu_12_10_5
HLT_TripleMu_5_3_3_DZ_Mass3p8
HLT_TripleMu_5_3_3
HLT_TrkMu15_DoubleTrkMu5NoFiltersNoVtx
HLT_TrkMu17_DoubleTrkMu8NoFiltersNoVtx
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / NANO
This primary NANOAOD dataset was processed from the MINIAOD dataset by the following step:
Step: NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016G-DoubleMuonLowMass-UL2016_MiniAODv2_NanoAODv9\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DoubleMu3_Trk_Tau3mu
HLT_DoubleMu4_LowMassNonResonantTrk_Displaced
Events stored in this primary dataset were selected because of the presence of at least two muons with low invariant mass.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This NANOAOD dataset was processed from the RAW dataset by the following steps:
Step NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016G-DoubleMuonLowMass-UL2016_MiniAODv2_NanoAODv9
Output dataset: /DoubleMuonLowMass/Run2016G-UL2016_MiniAODv2_NanoAODv9-v1/NANOAOD\n
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016G-DoubleMuonLowMass-UL2016_MiniAODv2
Output dataset: /DoubleMuonLowMass/Run2016G-UL2016_MiniAODv2-v1/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step ReReco-Run2016G-DoubleMuonLowMass-21Feb2020_UL2016
Output dataset: /DoubleMuonLowMass/Run2016G-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DoubleMu3_Trk_Tau3mu
HLT_DoubleMu4_LowMassNonResonantTrk_Displaced
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / NANO
This primary NANOAOD dataset was processed from the MINIAOD dataset by the following step:
Step: NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016G-HTMHT-UL2016_MiniAODv2_NanoAODv9\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DiPFJet40_DEta3p5_MJJ600_PFMETNoMu140
HLT_DiPFJet40_DEta3p5_MJJ600_PFMETNoMu80
HLT_PFHT200_DiPFJetAve90_PFAlphaT0p57
HLT_PFHT200_DiPFJetAve90_PFAlphaT0p63
HLT_PFHT200_PFAlphaT0p51
HLT_PFHT250_DiPFJetAve90_PFAlphaT0p55
HLT_PFHT250_DiPFJetAve90_PFAlphaT0p58
HLT_PFHT300_DiPFJetAve90_PFAlphaT0p53
HLT_PFHT300_DiPFJetAve90_PFAlphaT0p54
HLT_PFHT300_PFMET100
HLT_PFHT300_PFMET110
HLT_PFHT350_DiPFJetAve90_PFAlphaT0p52
HLT_PFHT350_DiPFJetAve90_PFAlphaT0p53
HLT_PFHT400_DiPFJetAve90_PFAlphaT0p51
HLT_PFHT400_DiPFJetAve90_PFAlphaT0p52
HLT_Rsq0p25
HLT_Rsq0p30
HLT_RsqMR240_Rsq0p09_MR200_4jet
HLT_RsqMR240_Rsq0p09_MR200
HLT_RsqMR270_Rsq0p09_MR200_4jet
HLT_RsqMR270_Rsq0p09_MR200
Events stored in this primary dataset were selected because of the presence of a combination of a high scalar sum of the jet transverse momenta (HT), one or more energetic jets, or high missing transverse energy.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This NANOAOD dataset was processed from the RAW dataset by the following steps:
Step NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016G-HTMHT-UL2016_MiniAODv2_NanoAODv9
Output dataset: /HTMHT/Run2016G-UL2016_MiniAODv2_NanoAODv9-v1/NANOAOD\n
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016G-HTMHT-UL2016_MiniAODv2
Output dataset: /HTMHT/Run2016G-UL2016_MiniAODv2-v1/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016G_HTMHT
Output dataset: /HTMHT/Run2016G-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DiPFJet40_DEta3p5_MJJ600_PFMETNoMu140
HLT_DiPFJet40_DEta3p5_MJJ600_PFMETNoMu80
HLT_PFHT200_DiPFJetAve90_PFAlphaT0p57
HLT_PFHT200_DiPFJetAve90_PFAlphaT0p63
HLT_PFHT200_PFAlphaT0p51
HLT_PFHT250_DiPFJetAve90_PFAlphaT0p55
HLT_PFHT250_DiPFJetAve90_PFAlphaT0p58
HLT_PFHT300_DiPFJetAve90_PFAlphaT0p53
HLT_PFHT300_DiPFJetAve90_PFAlphaT0p54
HLT_PFHT300_PFMET100
HLT_PFHT300_PFMET110
HLT_PFHT350_DiPFJetAve90_PFAlphaT0p52
HLT_PFHT350_DiPFJetAve90_PFAlphaT0p53
HLT_PFHT400_DiPFJetAve90_PFAlphaT0p51
HLT_PFHT400_DiPFJetAve90_PFAlphaT0p52
HLT_Rsq0p25
HLT_Rsq0p30
HLT_RsqMR240_Rsq0p09_MR200_4jet
HLT_RsqMR240_Rsq0p09_MR200
HLT_RsqMR270_Rsq0p09_MR200_4jet
HLT_RsqMR270_Rsq0p09_MR200
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / NANO
This primary NANOAOD dataset was processed from the MINIAOD dataset by the following step:
Step: NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016G-JetHT-UL2016_MiniAODv2_NanoAODv9\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_AK8DiPFJet250_200_TrimMass30_BTagCSV_p20
HLT_AK8DiPFJet250_200_TrimMass30
HLT_AK8DiPFJet280_200_TrimMass30_BTagCSV_p087
HLT_AK8DiPFJet280_200_TrimMass30_BTagCSV_p20
HLT_AK8DiPFJet280_200_TrimMass30
HLT_AK8DiPFJet300_200_TrimMass30_BTagCSV_p087
HLT_AK8DiPFJet300_200_TrimMass30_BTagCSV_p20
HLT_AK8DiPFJet300_200_TrimMass30
HLT_AK8PFHT600_TrimR0p1PT0p03Mass50_BTagCSV_p20
HLT_AK8PFHT650_TrimR0p1PT0p03Mass50
HLT_AK8PFHT700_TrimR0p1PT0p03Mass50
HLT_AK8PFHT750_TrimMass50
HLT_AK8PFHT800_TrimMass50
HLT_AK8PFJet140
HLT_AK8PFJet200
HLT_AK8PFJet260
HLT_AK8PFJet320
HLT_AK8PFJet360_TrimMass30
HLT_AK8PFJet400_TrimMass30
HLT_AK8PFJet400
HLT_AK8PFJet40
HLT_AK8PFJet450
HLT_AK8PFJet500
HLT_AK8PFJet60
HLT_AK8PFJet80
HLT_CaloJet500_NoJetID
HLT_DiCentralPFJet170_CFMax0p1
HLT_DiCentralPFJet170
HLT_DiCentralPFJet220_CFMax0p3
HLT_DiCentralPFJet330_CFMax0p5
HLT_DiCentralPFJet430
HLT_DiJetVBFMu_PassThrough
HLT_DiJetVBF_PassThrough
HLT_DiPFJetAve100_HFJEC
HLT_DiPFJetAve140
HLT_DiPFJetAve160_HFJEC
HLT_DiPFJetAve200
HLT_DiPFJetAve220_HFJEC
HLT_DiPFJetAve260
HLT_DiPFJetAve300_HFJEC
HLT_DiPFJetAve320
HLT_DiPFJetAve400
HLT_DiPFJetAve40
HLT_DiPFJetAve500
HLT_DiPFJetAve60_HFJEC
HLT_DiPFJetAve60
HLT_DiPFJetAve80_HFJEC
HLT_DiPFJetAve80
HLT_HT2000
HLT_HT2500
HLT_L1_TripleJet_VBF
HLT_PFHT125
HLT_PFHT200
HLT_PFHT250
HLT_PFHT300
HLT_PFHT350
HLT_PFHT400_SixJet30_DoubleBTagCSV_p056
HLT_PFHT400_SixJet30
HLT_PFHT400
HLT_PFHT450_SixJet40_BTagCSV_p056
HLT_PFHT450_SixJet40
HLT_PFHT475
HLT_PFHT550_4JetPt50
HLT_PFHT600
HLT_PFHT650_4JetPt50
HLT_PFHT650_WideJetMJJ900DEtaJJ1p5
HLT_PFHT650_WideJetMJJ950DEtaJJ1p5
HLT_PFHT650
HLT_PFHT750_4JetPt50
HLT_PFHT750_4JetPt70
HLT_PFHT750_4JetPt80
HLT_PFHT800_4JetPt50
HLT_PFHT800
HLT_PFHT850_4JetPt50
HLT_PFHT900
HLT_PFJet140
HLT_PFJet200
HLT_PFJet260
HLT_PFJet320
HLT_PFJet400
HLT_PFJet40
HLT_PFJet450
HLT_PFJet500
HLT_PFJet60
HLT_PFJet80
HLT_QuadPFJet_VBF
HLT_SingleCentralPFJet170_CFMax0p1
Events stored in this primary dataset were selected because of the presence of a high scalar sum of the jet transverse momenta (HT), or at least one or two energetic jets.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This NANOAOD dataset was processed from the RAW dataset by the following steps:
Step NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016G-JetHT-UL2016_MiniAODv2_NanoAODv9
Output dataset: /JetHT/Run2016G-UL2016_MiniAODv2_NanoAODv9-v1/NANOAOD\n
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016G-JetHT-UL2016_MiniAODv2
Output dataset: /JetHT/Run2016G-UL2016_MiniAODv2-v2/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016G_JetHT
Output dataset: /JetHT/Run2016G-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_AK8DiPFJet250_200_TrimMass30_BTagCSV_p20
HLT_AK8DiPFJet250_200_TrimMass30
HLT_AK8DiPFJet280_200_TrimMass30_BTagCSV_p087
HLT_AK8DiPFJet280_200_TrimMass30_BTagCSV_p20
HLT_AK8DiPFJet280_200_TrimMass30
HLT_AK8DiPFJet300_200_TrimMass30_BTagCSV_p087
HLT_AK8DiPFJet300_200_TrimMass30_BTagCSV_p20
HLT_AK8DiPFJet300_200_TrimMass30
HLT_AK8PFHT600_TrimR0p1PT0p03Mass50_BTagCSV_p20
HLT_AK8PFHT650_TrimR0p1PT0p03Mass50
HLT_AK8PFHT700_TrimR0p1PT0p03Mass50
HLT_AK8PFHT750_TrimMass50
HLT_AK8PFHT800_TrimMass50
HLT_AK8PFJet140
HLT_AK8PFJet200
HLT_AK8PFJet260
HLT_AK8PFJet320
HLT_AK8PFJet360_TrimMass30
HLT_AK8PFJet400_TrimMass30
HLT_AK8PFJet400
HLT_AK8PFJet40
HLT_AK8PFJet450
HLT_AK8PFJet500
HLT_AK8PFJet60
HLT_AK8PFJet80
HLT_CaloJet500_NoJetID
HLT_DiCentralPFJet170_CFMax0p1
HLT_DiCentralPFJet170
HLT_DiCentralPFJet220_CFMax0p3
HLT_DiCentralPFJet330_CFMax0p5
HLT_DiCentralPFJet430
HLT_DiJetVBFMu_PassThrough
HLT_DiJetVBF_PassThrough
HLT_DiPFJetAve100_HFJEC
HLT_DiPFJetAve140
HLT_DiPFJetAve160_HFJEC
HLT_DiPFJetAve200
HLT_DiPFJetAve220_HFJEC
HLT_DiPFJetAve260
HLT_DiPFJetAve300_HFJEC
HLT_DiPFJetAve320
HLT_DiPFJetAve400
HLT_DiPFJetAve40
HLT_DiPFJetAve500
HLT_DiPFJetAve60_HFJEC
HLT_DiPFJetAve60
HLT_DiPFJetAve80_HFJEC
HLT_DiPFJetAve80
HLT_HT2000
HLT_HT2500
HLT_L1_TripleJet_VBF
HLT_PFHT125
HLT_PFHT200
HLT_PFHT250
HLT_PFHT300
HLT_PFHT350
HLT_PFHT400_SixJet30_DoubleBTagCSV_p056
HLT_PFHT400_SixJet30
HLT_PFHT400
HLT_PFHT450_SixJet40_BTagCSV_p056
HLT_PFHT450_SixJet40
HLT_PFHT475
HLT_PFHT550_4JetPt50
HLT_PFHT600
HLT_PFHT650_4JetPt50
HLT_PFHT650_WideJetMJJ900DEtaJJ1p5
HLT_PFHT650_WideJetMJJ950DEtaJJ1p5
HLT_PFHT650
HLT_PFHT750_4JetPt50
HLT_PFHT750_4JetPt70
HLT_PFHT750_4JetPt80
HLT_PFHT800_4JetPt50
HLT_PFHT800
HLT_PFHT850_4JetPt50
HLT_PFHT900
HLT_PFJet140
HLT_PFJet200
HLT_PFJet260
HLT_PFJet320
HLT_PFJet400
HLT_PFJet40
HLT_PFJet450
HLT_PFJet500
HLT_PFJet60
HLT_PFJet80
HLT_QuadPFJet_VBF
HLT_SingleCentralPFJet170_CFMax0p1
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / NANO
This primary NANOAOD dataset was processed from the MINIAOD dataset by the following step:
Step: NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016G-MET-UL2016_MiniAODv2_NanoAODv9\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_CaloMHTNoPU90_PFMET90_PFMHT90_IDTight_BTagCSV_p067
HLT_CaloMHTNoPU90_PFMET90_PFMHT90_IDTight
HLT_DiCentralPFJet55_PFMET110
HLT_DoubleMu3_PFMET50
HLT_MET200
HLT_MET250
HLT_MET300
HLT_MET600
HLT_MET60_IsoTrk35_Loose
HLT_MET700
HLT_MET75_IsoTrk50
HLT_MET90_IsoTrk50
HLT_MonoCentralPFJet80_PFMETNoMu100_PFMHTNoMu100_IDTight
HLT_MonoCentralPFJet80_PFMETNoMu110_PFMHTNoMu110_IDTight
HLT_MonoCentralPFJet80_PFMETNoMu120_PFMHTNoMu120_IDTight
HLT_MonoCentralPFJet80_PFMETNoMu90_PFMHTNoMu90_IDTight
HLT_Mu14er_PFMET100
HLT_Mu3er_PFHT140_PFMET125
HLT_Mu6_PFHT200_PFMET100
HLT_Mu6_PFHT200_PFMET80_BTagCSV_p067
HLT_PFMET100_PFMHT100_IDTight_BeamHaloCleaned
HLT_PFMET100_PFMHT100_IDTight
HLT_PFMET110_PFMHT110_IDTight
HLT_PFMET120_BTagCSV_p067
HLT_PFMET120_Mu5
HLT_PFMET120_PFMHT120_IDTight
HLT_PFMET170_BeamHaloCleaned
HLT_PFMET170_HBHECleaned
HLT_PFMET170_HBHE_BeamHaloCleaned
HLT_PFMET170_JetIdCleaned
HLT_PFMET170_NoiseCleaned
HLT_PFMET170_NotCleaned
HLT_PFMET300
HLT_PFMET400
HLT_PFMET500
HLT_PFMET600
HLT_PFMET90_PFMHT90_IDTight
HLT_PFMETNoMu100_PFMHTNoMu100_IDTight
HLT_PFMETNoMu110_PFMHTNoMu110_IDTight
HLT_PFMETNoMu120_PFMHTNoMu120_IDTight
HLT_PFMETNoMu90_PFMHTNoMu90_IDTight
HLT_PFMETTypeOne190_HBHE_BeamHaloCleaned
Events stored in this primary dataset were selected because of the presence of high missing transverse energy.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This NANOAOD dataset was processed from the RAW dataset by the following steps:
Step NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016G-MET-UL2016_MiniAODv2_NanoAODv9
Output dataset: /MET/Run2016G-UL2016_MiniAODv2_NanoAODv9-v1/NANOAOD\n
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016G-MET-UL2016_MiniAODv2
Output dataset: /MET/Run2016G-UL2016_MiniAODv2-v2/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016G_MET
Output dataset: /MET/Run2016G-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_CaloMHTNoPU90_PFMET90_PFMHT90_IDTight_BTagCSV_p067
HLT_CaloMHTNoPU90_PFMET90_PFMHT90_IDTight
HLT_DiCentralPFJet55_PFMET110
HLT_DoubleMu3_PFMET50
HLT_MET200
HLT_MET250
HLT_MET300
HLT_MET600
HLT_MET60_IsoTrk35_Loose
HLT_MET700
HLT_MET75_IsoTrk50
HLT_MET90_IsoTrk50
HLT_MonoCentralPFJet80_PFMETNoMu100_PFMHTNoMu100_IDTight
HLT_MonoCentralPFJet80_PFMETNoMu110_PFMHTNoMu110_IDTight
HLT_MonoCentralPFJet80_PFMETNoMu120_PFMHTNoMu120_IDTight
HLT_MonoCentralPFJet80_PFMETNoMu90_PFMHTNoMu90_IDTight
HLT_Mu14er_PFMET100
HLT_Mu3er_PFHT140_PFMET125
HLT_Mu6_PFHT200_PFMET100
HLT_Mu6_PFHT200_PFMET80_BTagCSV_p067
HLT_PFMET100_PFMHT100_IDTight_BeamHaloCleaned
HLT_PFMET100_PFMHT100_IDTight
HLT_PFMET110_PFMHT110_IDTight
HLT_PFMET120_BTagCSV_p067
HLT_PFMET120_Mu5
HLT_PFMET120_PFMHT120_IDTight
HLT_PFMET170_BeamHaloCleaned
HLT_PFMET170_HBHECleaned
HLT_PFMET170_HBHE_BeamHaloCleaned
HLT_PFMET170_JetIdCleaned
HLT_PFMET170_NoiseCleaned
HLT_PFMET170_NotCleaned
HLT_PFMET300
HLT_PFMET400
HLT_PFMET500
HLT_PFMET600
HLT_PFMET90_PFMHT90_IDTight
HLT_PFMETNoMu100_PFMHTNoMu100_IDTight
HLT_PFMETNoMu110_PFMHTNoMu110_IDTight
HLT_PFMETNoMu120_PFMHTNoMu120_IDTight
HLT_PFMETNoMu90_PFMHTNoMu90_IDTight
HLT_PFMETTypeOne190_HBHE_BeamHaloCleaned
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / NANO
This primary NANOAOD dataset was processed from the MINIAOD dataset by the following step:
Step: NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016G-MuOnia-UL2016_MiniAODv2_NanoAODv9\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_Dimuon0_Phi_Barrel
HLT_Dimuon0_Upsilon_Muon
HLT_Dimuon13_Upsilon
HLT_Dimuon8_Upsilon_Barrel
HLT_Mu16_TkMu0_dEta18_Onia
HLT_Mu16_TkMu0_dEta18_Phi
HLT_Mu25_TkMu0_dEta18_Onia
HLT_Mu7p5_L2Mu2_Upsilon
HLT_Mu7p5_Track2_Upsilon
HLT_Mu7p5_Track3p5_Upsilon
HLT_Mu7p5_Track7_Upsilon
HLT_QuadMuon0_Dimuon0_Upsilon
Events stored in this primary dataset were selected because of the presence of at least two muons in the event requiring only very low energy and some requirements in the invariant mass for selecting low-mass resonances.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This NANOAOD dataset was processed from the RAW dataset by the following steps:
Step NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016G-MuOnia-UL2016_MiniAODv2_NanoAODv9
Output dataset: /MuOnia/Run2016G-UL2016_MiniAODv2_NanoAODv9-v1/NANOAOD\n
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016G-MuOnia-UL2016_MiniAODv2
Output dataset: /MuOnia/Run2016G-UL2016_MiniAODv2-v1/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016G_MuOnia
Output dataset: /MuOnia/Run2016G-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_Dimuon0_Phi_Barrel
HLT_Dimuon0_Upsilon_Muon
HLT_Dimuon13_Upsilon
HLT_Dimuon8_Upsilon_Barrel
HLT_Mu16_TkMu0_dEta18_Onia
HLT_Mu16_TkMu0_dEta18_Phi
HLT_Mu25_TkMu0_dEta18_Onia
HLT_Mu7p5_L2Mu2_Upsilon
HLT_Mu7p5_Track2_Upsilon
HLT_Mu7p5_Track3p5_Upsilon
HLT_Mu7p5_Track7_Upsilon
HLT_QuadMuon0_Dimuon0_Upsilon
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / NANO
This primary NANOAOD dataset was processed from the MINIAOD dataset by the following step:
Step: NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016G-MuonEG-UL2016_MiniAODv2_NanoAODv9\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DiMu9_Ele9_CaloIdL_TrackIdL
HLT_Mu12_Photon25_CaloIdL_L1ISO
HLT_Mu12_Photon25_CaloIdL_L1OR
HLT_Mu12_Photon25_CaloIdL
HLT_Mu12_TrkIsoVVL_Ele23_CaloIdL_TrackIdL_IsoVL_DZ
HLT_Mu12_TrkIsoVVL_Ele23_CaloIdL_TrackIdL_IsoVL
HLT_Mu17_Photon22_CaloIdL_L1ISO
HLT_Mu17_Photon30_CaloIdL_L1ISO
HLT_Mu17_Photon35_CaloIdL_L1ISO
HLT_Mu17_TrkIsoVVL_Ele12_CaloIdL_TrackIdL_IsoVL
HLT_Mu23NoFiltersNoVtx_Photon23_CaloIdL
HLT_Mu23_TrkIsoVVL_Ele12_CaloIdL_TrackIdL_IsoVL_DZ
HLT_Mu23_TrkIsoVVL_Ele12_CaloIdL_TrackIdL_IsoVL
HLT_Mu23_TrkIsoVVL_Ele8_CaloIdL_TrackIdL_IsoVL_DZ
HLT_Mu23_TrkIsoVVL_Ele8_CaloIdL_TrackIdL_IsoVL
HLT_Mu27_Ele37_CaloIdL_GsfTrkIdVL
HLT_Mu28NoFiltersNoVtxDisplaced_Photon28_CaloIdL
HLT_Mu30_Ele30_CaloIdL_GsfTrkIdVL
HLT_Mu33NoFiltersNoVtxDisplaced_Photon33_CaloIdL
HLT_Mu33_Ele33_CaloIdL_GsfTrkIdVL
HLT_Mu37_Ele27_CaloIdL_GsfTrkIdVL
HLT_Mu38NoFiltersNoVtx_Photon38_CaloIdL
HLT_Mu42NoFiltersNoVtx_Photon42_CaloIdL
HLT_Mu8_DiEle12_CaloIdL_TrackIdL
HLT_Mu8_Ele8_CaloIdM_TrackIdM_Mass8_PFHT250
HLT_Mu8_Ele8_CaloIdM_TrackIdM_Mass8_PFHT300
HLT_Mu8_TrkIsoVVL_Ele17_CaloIdL_TrackIdL_IsoVL
HLT_Mu8_TrkIsoVVL_Ele23_CaloIdL_TrackIdL_IsoVL_DZ
HLT_Mu8_TrkIsoVVL_Ele23_CaloIdL_TrackIdL_IsoVL
Events stored in this primary dataset were selected because of the presence of one energetic muon and electron or photon.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This NANOAOD dataset was processed from the RAW dataset by the following steps:
Step NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016G-MuonEG-UL2016_MiniAODv2_NanoAODv9
Output dataset: /MuonEG/Run2016G-UL2016_MiniAODv2_NanoAODv9-v1/NANOAOD\n
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016G-MuonEG-UL2016_MiniAODv2
Output dataset: /MuonEG/Run2016G-UL2016_MiniAODv2-v2/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016G_MuonEG
Output dataset: /MuonEG/Run2016G-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DiMu9_Ele9_CaloIdL_TrackIdL
HLT_Mu12_Photon25_CaloIdL_L1ISO
HLT_Mu12_Photon25_CaloIdL_L1OR
HLT_Mu12_Photon25_CaloIdL
HLT_Mu12_TrkIsoVVL_Ele23_CaloIdL_TrackIdL_IsoVL_DZ
HLT_Mu12_TrkIsoVVL_Ele23_CaloIdL_TrackIdL_IsoVL
HLT_Mu17_Photon22_CaloIdL_L1ISO
HLT_Mu17_Photon30_CaloIdL_L1ISO
HLT_Mu17_Photon35_CaloIdL_L1ISO
HLT_Mu17_TrkIsoVVL_Ele12_CaloIdL_TrackIdL_IsoVL
HLT_Mu23NoFiltersNoVtx_Photon23_CaloIdL
HLT_Mu23_TrkIsoVVL_Ele12_CaloIdL_TrackIdL_IsoVL_DZ
HLT_Mu23_TrkIsoVVL_Ele12_CaloIdL_TrackIdL_IsoVL
HLT_Mu23_TrkIsoVVL_Ele8_CaloIdL_TrackIdL_IsoVL_DZ
HLT_Mu23_TrkIsoVVL_Ele8_CaloIdL_TrackIdL_IsoVL
HLT_Mu27_Ele37_CaloIdL_GsfTrkIdVL
HLT_Mu28NoFiltersNoVtxDisplaced_Photon28_CaloIdL
HLT_Mu30_Ele30_CaloIdL_GsfTrkIdVL
HLT_Mu33NoFiltersNoVtxDisplaced_Photon33_CaloIdL
HLT_Mu33_Ele33_CaloIdL_GsfTrkIdVL
HLT_Mu37_Ele27_CaloIdL_GsfTrkIdVL
HLT_Mu38NoFiltersNoVtx_Photon38_CaloIdL
HLT_Mu42NoFiltersNoVtx_Photon42_CaloIdL
HLT_Mu8_DiEle12_CaloIdL_TrackIdL
HLT_Mu8_Ele8_CaloIdM_TrackIdM_Mass8_PFHT250
HLT_Mu8_Ele8_CaloIdM_TrackIdM_Mass8_PFHT300
HLT_Mu8_TrkIsoVVL_Ele17_CaloIdL_TrackIdL_IsoVL
HLT_Mu8_TrkIsoVVL_Ele23_CaloIdL_TrackIdL_IsoVL_DZ
HLT_Mu8_TrkIsoVVL_Ele23_CaloIdL_TrackIdL_IsoVL
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / NANO
This primary NANOAOD dataset was processed from the MINIAOD dataset by the following step:
Step: NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016G-SingleElectron-UL2016_MiniAODv2_NanoAODv9\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_Ele105_CaloIdVT_GsfTrkIdT
HLT_Ele115_CaloIdVT_GsfTrkIdT
HLT_Ele145_CaloIdVT_GsfTrkIdT
HLT_Ele15_IsoVVVL_BTagCSV_p067_PFHT400
HLT_Ele15_IsoVVVL_PFHT350_PFMET50
HLT_Ele15_IsoVVVL_PFHT350
HLT_Ele15_IsoVVVL_PFHT400_PFMET50
HLT_Ele15_IsoVVVL_PFHT400
HLT_Ele15_IsoVVVL_PFHT600
HLT_Ele200_CaloIdVT_GsfTrkIdT
HLT_Ele20_eta2p1_WPLoose_Gsf_LooseIsoPFTau28
HLT_Ele22_eta2p1_WPLoose_Gsf_LooseIsoPFTau20_SingleL1
HLT_Ele22_eta2p1_WPLoose_Gsf_LooseIsoPFTau29
HLT_Ele22_eta2p1_WPLoose_Gsf
HLT_Ele23_WPLoose_Gsf_WHbbBoost
HLT_Ele23_WPLoose_Gsf
HLT_Ele24_eta2p1_WPLoose_Gsf_LooseIsoPFTau20_SingleL1
HLT_Ele24_eta2p1_WPLoose_Gsf_LooseIsoPFTau20
HLT_Ele24_eta2p1_WPLoose_Gsf_LooseIsoPFTau30
HLT_Ele24_eta2p1_WPLoose_Gsf
HLT_Ele250_CaloIdVT_GsfTrkIdT
HLT_Ele25_WPTight_Gsf
HLT_Ele25_eta2p1_WPLoose_Gsf
HLT_Ele25_eta2p1_WPTight_Gsf
HLT_Ele27_WPLoose_Gsf_WHbbBoost
HLT_Ele27_WPLoose_Gsf
HLT_Ele27_WPTight_Gsf_L1JetTauSeeded
HLT_Ele27_WPTight_Gsf
HLT_Ele27_eta2p1_WPLoose_Gsf_DoubleMediumIsoPFTau32_Trk1_eta2p1_Reg
HLT_Ele27_eta2p1_WPLoose_Gsf_DoubleMediumIsoPFTau35_Trk1_eta2p1_Reg
HLT_Ele27_eta2p1_WPLoose_Gsf_DoubleMediumIsoPFTau40_Trk1_eta2p1_Reg
HLT_Ele27_eta2p1_WPLoose_Gsf_HT200
HLT_Ele27_eta2p1_WPLoose_Gsf_LooseIsoPFTau20_SingleL1
HLT_Ele27_eta2p1_WPLoose_Gsf
HLT_Ele27_eta2p1_WPTight_Gsf
HLT_Ele300_CaloIdVT_GsfTrkIdT
HLT_Ele30_WPTight_Gsf
HLT_Ele30_eta2p1_WPTight_Gsf
HLT_Ele32_WPTight_Gsf
HLT_Ele32_eta2p1_WPLoose_Gsf_LooseIsoPFTau20_SingleL1
HLT_Ele32_eta2p1_WPTight_Gsf
HLT_Ele35_CaloIdVT_GsfTrkIdT_PFJet150_PFJet50
HLT_Ele35_WPLoose_Gsf
HLT_Ele36_eta2p1_WPLoose_Gsf_LooseIsoPFTau20_SingleL1
HLT_Ele45_CaloIdVT_GsfTrkIdT_PFJet200_PFJet50
HLT_Ele45_WPLoose_Gsf_L1JetTauSeeded
HLT_Ele45_WPLoose_Gsf
HLT_Ele50_CaloIdVT_GsfTrkIdT_PFJet140
HLT_Ele50_CaloIdVT_GsfTrkIdT_PFJet165
HLT_Ele50_IsoVVVL_PFHT400
Events stored in this primary dataset were selected because of the presence of at least one high-energy electron, or at least one high-energy electron and one or more jets or tau.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This NANOAOD dataset was processed from the RAW dataset by the following steps:
Step NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016G-SingleElectron-UL2016_MiniAODv2_NanoAODv9
Output dataset: /SingleElectron/Run2016G-UL2016_MiniAODv2_NanoAODv9-v1/NANOAOD\n
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016G-SingleElectron-UL2016_MiniAODv2
Output dataset: /SingleElectron/Run2016G-UL2016_MiniAODv2-v2/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016G_SingleElectron
Output dataset: /SingleElectron/Run2016G-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_Ele105_CaloIdVT_GsfTrkIdT
HLT_Ele115_CaloIdVT_GsfTrkIdT
HLT_Ele145_CaloIdVT_GsfTrkIdT
HLT_Ele15_IsoVVVL_BTagCSV_p067_PFHT400
HLT_Ele15_IsoVVVL_PFHT350_PFMET50
HLT_Ele15_IsoVVVL_PFHT350
HLT_Ele15_IsoVVVL_PFHT400_PFMET50
HLT_Ele15_IsoVVVL_PFHT400
HLT_Ele15_IsoVVVL_PFHT600
HLT_Ele200_CaloIdVT_GsfTrkIdT
HLT_Ele20_eta2p1_WPLoose_Gsf_LooseIsoPFTau28
HLT_Ele22_eta2p1_WPLoose_Gsf_LooseIsoPFTau20_SingleL1
HLT_Ele22_eta2p1_WPLoose_Gsf_LooseIsoPFTau29
HLT_Ele22_eta2p1_WPLoose_Gsf
HLT_Ele23_WPLoose_Gsf_WHbbBoost
HLT_Ele23_WPLoose_Gsf
HLT_Ele24_eta2p1_WPLoose_Gsf_LooseIsoPFTau20_SingleL1
HLT_Ele24_eta2p1_WPLoose_Gsf_LooseIsoPFTau20
HLT_Ele24_eta2p1_WPLoose_Gsf_LooseIsoPFTau30
HLT_Ele24_eta2p1_WPLoose_Gsf
HLT_Ele250_CaloIdVT_GsfTrkIdT
HLT_Ele25_WPTight_Gsf
HLT_Ele25_eta2p1_WPLoose_Gsf
HLT_Ele25_eta2p1_WPTight_Gsf
HLT_Ele27_WPLoose_Gsf_WHbbBoost
HLT_Ele27_WPLoose_Gsf
HLT_Ele27_WPTight_Gsf_L1JetTauSeeded
HLT_Ele27_WPTight_Gsf
HLT_Ele27_eta2p1_WPLoose_Gsf_DoubleMediumIsoPFTau32_Trk1_eta2p1_Reg
HLT_Ele27_eta2p1_WPLoose_Gsf_DoubleMediumIsoPFTau35_Trk1_eta2p1_Reg
HLT_Ele27_eta2p1_WPLoose_Gsf_DoubleMediumIsoPFTau40_Trk1_eta2p1_Reg
HLT_Ele27_eta2p1_WPLoose_Gsf_HT200
HLT_Ele27_eta2p1_WPLoose_Gsf_LooseIsoPFTau20_SingleL1
HLT_Ele27_eta2p1_WPLoose_Gsf
HLT_Ele27_eta2p1_WPTight_Gsf
HLT_Ele300_CaloIdVT_GsfTrkIdT
HLT_Ele30_WPTight_Gsf
HLT_Ele30_eta2p1_WPTight_Gsf
HLT_Ele32_WPTight_Gsf
HLT_Ele32_eta2p1_WPLoose_Gsf_LooseIsoPFTau20_SingleL1
HLT_Ele32_eta2p1_WPTight_Gsf
HLT_Ele35_CaloIdVT_GsfTrkIdT_PFJet150_PFJet50
HLT_Ele35_WPLoose_Gsf
HLT_Ele36_eta2p1_WPLoose_Gsf_LooseIsoPFTau20_SingleL1
HLT_Ele45_CaloIdVT_GsfTrkIdT_PFJet200_PFJet50
HLT_Ele45_WPLoose_Gsf_L1JetTauSeeded
HLT_Ele45_WPLoose_Gsf
HLT_Ele50_CaloIdVT_GsfTrkIdT_PFJet140
HLT_Ele50_CaloIdVT_GsfTrkIdT_PFJet165
HLT_Ele50_IsoVVVL_PFHT400
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / NANO
This primary NANOAOD dataset was processed from the MINIAOD dataset by the following step:
Step: NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016G-SingleMuon-UL2016_MiniAODv2_NanoAODv9\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DoubleIsoMu17_eta2p1_noDzCut
HLT_DoubleIsoMu17_eta2p1
HLT_IsoMu16_eta2p1_MET30_LooseIsoPFTau50_Trk30_eta2p1
HLT_IsoMu16_eta2p1_MET30
HLT_IsoMu17_eta2p1_LooseIsoPFTau20_SingleL1
HLT_IsoMu17_eta2p1_LooseIsoPFTau20
HLT_IsoMu18
HLT_IsoMu19_eta2p1_LooseIsoPFTau20_SingleL1
HLT_IsoMu19_eta2p1_LooseIsoPFTau20
HLT_IsoMu19_eta2p1_MediumIsoPFTau32_Trk1_eta2p1_Reg
HLT_IsoMu20
HLT_IsoMu21_eta2p1_LooseIsoPFTau20_SingleL1
HLT_IsoMu21_eta2p1_LooseIsoPFTau50_Trk30_eta2p1_SingleL1
HLT_IsoMu21_eta2p1_MediumIsoPFTau32_Trk1_eta2p1_Reg
HLT_IsoMu22_eta2p1
HLT_IsoMu22
HLT_IsoMu24_eta2p1
HLT_IsoMu24
HLT_IsoMu27
HLT_IsoTkMu18
HLT_IsoTkMu20
HLT_IsoTkMu22_eta2p1
HLT_IsoTkMu22
HLT_IsoTkMu24_eta2p1
HLT_IsoTkMu24
HLT_IsoTkMu27
HLT_L1SingleMu16
HLT_L1SingleMu18
HLT_L2Mu10
HLT_Mu10_TrkIsoVVL_DiPFJet40_DEta3p5_MJJ750_HTT350_PFMETNoMu60
HLT_Mu15_IsoVVVL_BTagCSV_p067_PFHT400
HLT_Mu15_IsoVVVL_PFHT350_PFMET50
HLT_Mu15_IsoVVVL_PFHT350
HLT_Mu15_IsoVVVL_PFHT400_PFMET50
HLT_Mu15_IsoVVVL_PFHT400
HLT_Mu15_IsoVVVL_PFHT600
HLT_Mu16_eta2p1_MET30
HLT_Mu20
HLT_Mu24_eta2p1
HLT_Mu27
HLT_Mu28NoFiltersNoVtx_CentralCaloJet40
HLT_Mu28NoFiltersNoVtx_DisplacedJet40_Loose
HLT_Mu300
HLT_Mu30_eta2p1_PFJet150_PFJet50
HLT_Mu33NoFiltersNoVtxDisplaced_DisplacedJet50_Loose
HLT_Mu33NoFiltersNoVtxDisplaced_DisplacedJet50_Tight
HLT_Mu350
HLT_Mu38NoFiltersNoVtxDisplaced_DisplacedJet60_Loose
HLT_Mu38NoFiltersNoVtxDisplaced_DisplacedJet60_Tight
HLT_Mu38NoFiltersNoVtx_DisplacedJet60_Loose
HLT_Mu40_eta2p1_PFJet200_PFJet50
HLT_Mu45_eta2p1
HLT_Mu50_IsoVVVL_PFHT400
HLT_Mu50
HLT_Mu55
HLT_Mu8_TrkIsoVVL_DiPFJet40_DEta3p5_MJJ750_HTT300_PFMETNoMu60
HLT_TkMu17
HLT_TkMu20
HLT_TkMu24_eta2p1
HLT_TkMu27
HLT_TkMu50
Events stored in this primary dataset were selected because of the presence of at least one energetic muon, or at least one muon and one or more jets, tau or high missing transverse momentum.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This NANOAOD dataset was processed from the RAW dataset by the following steps:
Step NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016G-SingleMuon-UL2016_MiniAODv2_NanoAODv9
Output dataset: /SingleMuon/Run2016G-UL2016_MiniAODv2_NanoAODv9-v1/NANOAOD\n
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016G-SingleMuon-UL2016_MiniAODv2
Output dataset: /SingleMuon/Run2016G-UL2016_MiniAODv2-v2/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016G_SingleMuon
Output dataset: /SingleMuon/Run2016G-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DoubleIsoMu17_eta2p1_noDzCut
HLT_DoubleIsoMu17_eta2p1
HLT_IsoMu16_eta2p1_MET30_LooseIsoPFTau50_Trk30_eta2p1
HLT_IsoMu16_eta2p1_MET30
HLT_IsoMu17_eta2p1_LooseIsoPFTau20_SingleL1
HLT_IsoMu17_eta2p1_LooseIsoPFTau20
HLT_IsoMu18
HLT_IsoMu19_eta2p1_LooseIsoPFTau20_SingleL1
HLT_IsoMu19_eta2p1_LooseIsoPFTau20
HLT_IsoMu19_eta2p1_MediumIsoPFTau32_Trk1_eta2p1_Reg
HLT_IsoMu20
HLT_IsoMu21_eta2p1_LooseIsoPFTau20_SingleL1
HLT_IsoMu21_eta2p1_LooseIsoPFTau50_Trk30_eta2p1_SingleL1
HLT_IsoMu21_eta2p1_MediumIsoPFTau32_Trk1_eta2p1_Reg
HLT_IsoMu22_eta2p1
HLT_IsoMu22
HLT_IsoMu24_eta2p1
HLT_IsoMu24
HLT_IsoMu27
HLT_IsoTkMu18
HLT_IsoTkMu20
HLT_IsoTkMu22_eta2p1
HLT_IsoTkMu22
HLT_IsoTkMu24_eta2p1
HLT_IsoTkMu24
HLT_IsoTkMu27
HLT_L1SingleMu16
HLT_L1SingleMu18
HLT_L2Mu10
HLT_Mu10_TrkIsoVVL_DiPFJet40_DEta3p5_MJJ750_HTT350_PFMETNoMu60
HLT_Mu15_IsoVVVL_BTagCSV_p067_PFHT400
HLT_Mu15_IsoVVVL_PFHT350_PFMET50
HLT_Mu15_IsoVVVL_PFHT350
HLT_Mu15_IsoVVVL_PFHT400_PFMET50
HLT_Mu15_IsoVVVL_PFHT400
HLT_Mu15_IsoVVVL_PFHT600
HLT_Mu16_eta2p1_MET30
HLT_Mu20
HLT_Mu24_eta2p1
HLT_Mu27
HLT_Mu28NoFiltersNoVtx_CentralCaloJet40
HLT_Mu28NoFiltersNoVtx_DisplacedJet40_Loose
HLT_Mu300
HLT_Mu30_eta2p1_PFJet150_PFJet50
HLT_Mu33NoFiltersNoVtxDisplaced_DisplacedJet50_Loose
HLT_Mu33NoFiltersNoVtxDisplaced_DisplacedJet50_Tight
HLT_Mu350
HLT_Mu38NoFiltersNoVtxDisplaced_DisplacedJet60_Loose
HLT_Mu38NoFiltersNoVtxDisplaced_DisplacedJet60_Tight
HLT_Mu38NoFiltersNoVtx_DisplacedJet60_Loose
HLT_Mu40_eta2p1_PFJet200_PFJet50
HLT_Mu45_eta2p1
HLT_Mu50_IsoVVVL_PFHT400
HLT_Mu50
HLT_Mu55
HLT_Mu8_TrkIsoVVL_DiPFJet40_DEta3p5_MJJ750_HTT300_PFMETNoMu60
HLT_TkMu17
HLT_TkMu20
HLT_TkMu24_eta2p1
HLT_TkMu27
HLT_TkMu50
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / NANO
This primary NANOAOD dataset was processed from the MINIAOD dataset by the following step:
Step: NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016G-SinglePhoton-UL2016_MiniAODv2_NanoAODv9\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_Photon120_R9Id90_HE10_Iso40_EBOnly_PFMET40
HLT_Photon120_R9Id90_HE10_Iso40_EBOnly_VBF
HLT_Photon120_R9Id90_HE10_IsoM
HLT_Photon120
HLT_Photon135_PFMET100
HLT_Photon165_HE10
HLT_Photon165_R9Id90_HE10_IsoM
HLT_Photon175
HLT_Photon22_R9Id90_HE10_Iso40_EBOnly_PFMET40
HLT_Photon22_R9Id90_HE10_Iso40_EBOnly_VBF
HLT_Photon22_R9Id90_HE10_IsoM
HLT_Photon22
HLT_Photon250_NoHE
HLT_Photon300_NoHE
HLT_Photon30_R9Id90_HE10_IsoM
HLT_Photon30
HLT_Photon36_R9Id90_HE10_Iso40_EBOnly_PFMET40
HLT_Photon36_R9Id90_HE10_Iso40_EBOnly_VBF
HLT_Photon36_R9Id90_HE10_IsoM
HLT_Photon36
HLT_Photon500
HLT_Photon50_R9Id90_HE10_Iso40_EBOnly_PFMET40
HLT_Photon50_R9Id90_HE10_Iso40_EBOnly_VBF
HLT_Photon50_R9Id90_HE10_IsoM
HLT_Photon50
HLT_Photon600
HLT_Photon75_R9Id90_HE10_Iso40_EBOnly_PFMET40
HLT_Photon75_R9Id90_HE10_Iso40_EBOnly_VBF
HLT_Photon75_R9Id90_HE10_IsoM
HLT_Photon75
HLT_Photon90_CaloIdL_PFHT500
HLT_Photon90_CaloIdL_PFHT600
HLT_Photon90_R9Id90_HE10_Iso40_EBOnly_PFMET40
HLT_Photon90_R9Id90_HE10_Iso40_EBOnly_VBF
HLT_Photon90_R9Id90_HE10_IsoM
HLT_Photon90
Events stored in this primary dataset were selected because of the presence of one energetic photon, or one photon and high missing transverse momentum.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This NANOAOD dataset was processed from the RAW dataset by the following steps:
Step NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016G-SinglePhoton-UL2016_MiniAODv2_NanoAODv9
Output dataset: /SinglePhoton/Run2016G-UL2016_MiniAODv2_NanoAODv9-v2/NANOAOD\n
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016G-SinglePhoton-UL2016_MiniAODv2
Output dataset: /SinglePhoton/Run2016G-UL2016_MiniAODv2-v3/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016G_SinglePhoton
Output dataset: /SinglePhoton/Run2016G-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_Photon120_R9Id90_HE10_Iso40_EBOnly_PFMET40
HLT_Photon120_R9Id90_HE10_Iso40_EBOnly_VBF
HLT_Photon120_R9Id90_HE10_IsoM
HLT_Photon120
HLT_Photon135_PFMET100
HLT_Photon165_HE10
HLT_Photon165_R9Id90_HE10_IsoM
HLT_Photon175
HLT_Photon22_R9Id90_HE10_Iso40_EBOnly_PFMET40
HLT_Photon22_R9Id90_HE10_Iso40_EBOnly_VBF
HLT_Photon22_R9Id90_HE10_IsoM
HLT_Photon22
HLT_Photon250_NoHE
HLT_Photon300_NoHE
HLT_Photon30_R9Id90_HE10_IsoM
HLT_Photon30
HLT_Photon36_R9Id90_HE10_Iso40_EBOnly_PFMET40
HLT_Photon36_R9Id90_HE10_Iso40_EBOnly_VBF
HLT_Photon36_R9Id90_HE10_IsoM
HLT_Photon36
HLT_Photon500
HLT_Photon50_R9Id90_HE10_Iso40_EBOnly_PFMET40
HLT_Photon50_R9Id90_HE10_Iso40_EBOnly_VBF
HLT_Photon50_R9Id90_HE10_IsoM
HLT_Photon50
HLT_Photon600
HLT_Photon75_R9Id90_HE10_Iso40_EBOnly_PFMET40
HLT_Photon75_R9Id90_HE10_Iso40_EBOnly_VBF
HLT_Photon75_R9Id90_HE10_IsoM
HLT_Photon75
HLT_Photon90_CaloIdL_PFHT500
HLT_Photon90_CaloIdL_PFHT600
HLT_Photon90_R9Id90_HE10_Iso40_EBOnly_PFMET40
HLT_Photon90_R9Id90_HE10_Iso40_EBOnly_VBF
HLT_Photon90_R9Id90_HE10_IsoM
HLT_Photon90
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / NANO
This primary NANOAOD dataset was processed from the MINIAOD dataset by the following step:
Step: NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016G-Tau-UL2016_MiniAODv2_NanoAODv9\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DoubleMediumCombinedIsoPFTau35_Trk1_eta2p1_Reg
HLT_DoubleMediumCombinedIsoPFTau40_Trk1_eta2p1_Reg
HLT_DoubleMediumCombinedIsoPFTau40_Trk1_eta2p1
HLT_DoubleMediumIsoPFTau32_Trk1_eta2p1_Reg
HLT_DoubleMediumIsoPFTau35_Trk1_eta2p1_Reg
HLT_DoubleMediumIsoPFTau40_Trk1_eta2p1_Reg
HLT_DoubleTightCombinedIsoPFTau35_Trk1_eta2p1_Reg
HLT_DoubleTightCombinedIsoPFTau40_Trk1_eta2p1_Reg
HLT_DoubleTightCombinedIsoPFTau40_Trk1_eta2p1
HLT_IsoMu19_eta2p1_LooseCombinedIsoPFTau20
HLT_IsoMu19_eta2p1_MediumCombinedIsoPFTau32_Trk1_eta2p1_Reg
HLT_IsoMu19_eta2p1_TightCombinedIsoPFTau32_Trk1_eta2p1_Reg
HLT_IsoMu21_eta2p1_MediumCombinedIsoPFTau32_Trk1_eta2p1_Reg
HLT_IsoMu21_eta2p1_TightCombinedIsoPFTau32_Trk1_eta2p1_Reg
HLT_LooseIsoPFTau50_Trk30_eta2p1_MET110
HLT_LooseIsoPFTau50_Trk30_eta2p1_MET120
HLT_LooseIsoPFTau50_Trk30_eta2p1_MET80
HLT_LooseIsoPFTau50_Trk30_eta2p1_MET90
HLT_LooseIsoPFTau50_Trk30_eta2p1
HLT_PFTau120_eta2p1
HLT_PFTau140_eta2p1
HLT_VLooseIsoPFTau120_Trk50_eta2p1
HLT_VLooseIsoPFTau140_Trk50_eta2p1
Events stored in this primary dataset were selected because of the presence of at least one tau, or one tau and muon or high missing transverse momentum.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This NANOAOD dataset was processed from the RAW dataset by the following steps:
Step NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016G-Tau-UL2016_MiniAODv2_NanoAODv9
Output dataset: /Tau/Run2016G-UL2016_MiniAODv2_NanoAODv9-v1/NANOAOD\n
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016G-Tau-UL2016_MiniAODv2
Output dataset: /Tau/Run2016G-UL2016_MiniAODv2-v1/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016G_Tau
Output dataset: /Tau/Run2016G-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DoubleMediumCombinedIsoPFTau35_Trk1_eta2p1_Reg
HLT_DoubleMediumCombinedIsoPFTau40_Trk1_eta2p1_Reg
HLT_DoubleMediumCombinedIsoPFTau40_Trk1_eta2p1
HLT_DoubleMediumIsoPFTau32_Trk1_eta2p1_Reg
HLT_DoubleMediumIsoPFTau35_Trk1_eta2p1_Reg
HLT_DoubleMediumIsoPFTau40_Trk1_eta2p1_Reg
HLT_DoubleTightCombinedIsoPFTau35_Trk1_eta2p1_Reg
HLT_DoubleTightCombinedIsoPFTau40_Trk1_eta2p1_Reg
HLT_DoubleTightCombinedIsoPFTau40_Trk1_eta2p1
HLT_IsoMu19_eta2p1_LooseCombinedIsoPFTau20
HLT_IsoMu19_eta2p1_MediumCombinedIsoPFTau32_Trk1_eta2p1_Reg
HLT_IsoMu19_eta2p1_TightCombinedIsoPFTau32_Trk1_eta2p1_Reg
HLT_IsoMu21_eta2p1_MediumCombinedIsoPFTau32_Trk1_eta2p1_Reg
HLT_IsoMu21_eta2p1_TightCombinedIsoPFTau32_Trk1_eta2p1_Reg
HLT_LooseIsoPFTau50_Trk30_eta2p1_MET110
HLT_LooseIsoPFTau50_Trk30_eta2p1_MET120
HLT_LooseIsoPFTau50_Trk30_eta2p1_MET80
HLT_LooseIsoPFTau50_Trk30_eta2p1_MET90
HLT_LooseIsoPFTau50_Trk30_eta2p1
HLT_PFTau120_eta2p1
HLT_PFTau140_eta2p1
HLT_VLooseIsoPFTau120_Trk50_eta2p1
HLT_VLooseIsoPFTau140_Trk50_eta2p1
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / PAT
This primary MINIAOD dataset was processed from the RAW dataset by the following step:
Step: PAT
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016H-BTagCSV-UL2016_MiniAODv2\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DoubleJet90_Double30_DoubleBTagCSV_p087
HLT_DoubleJet90_Double30_TripleBTagCSV_p087
HLT_DoubleJetsC100_DoubleBTagCSV_p014_DoublePFJetsC100MaxDeta1p6
HLT_DoubleJetsC100_DoubleBTagCSV_p026_DoublePFJetsC160
HLT_DoubleJetsC100_SingleBTagCSV_p014_SinglePFJetC350
HLT_DoubleJetsC100_SingleBTagCSV_p014
HLT_DoubleJetsC100_SingleBTagCSV_p026_SinglePFJetC350
HLT_DoubleJetsC100_SingleBTagCSV_p026
HLT_DoubleJetsC112_DoubleBTagCSV_p014_DoublePFJetsC112MaxDeta1p6
HLT_DoubleJetsC112_DoubleBTagCSV_p026_DoublePFJetsC172
HLT_QuadJet45_DoubleBTagCSV_p087
HLT_QuadJet45_TripleBTagCSV_p087
HLT_QuadPFJet_BTagCSV_p016_VBF_Mqq460
HLT_QuadPFJet_BTagCSV_p016_VBF_Mqq500
HLT_QuadPFJet_BTagCSV_p016_p11_VBF_Mqq200
HLT_QuadPFJet_BTagCSV_p016_p11_VBF_Mqq240
HLT_Rsq0p02_MR300_TriPFJet80_60_40_BTagCSV_p063_p20_Mbb60_200
HLT_Rsq0p02_MR300_TriPFJet80_60_40_DoubleBTagCSV_p063_Mbb60_200
HLT_Rsq0p02_MR400_TriPFJet80_60_40_DoubleBTagCSV_p063_Mbb60_200
HLT_Rsq0p02_MR450_TriPFJet80_60_40_DoubleBTagCSV_p063_Mbb60_200
HLT_Rsq0p02_MR500_TriPFJet80_60_40_DoubleBTagCSV_p063_Mbb60_200
HLT_Rsq0p02_MR550_TriPFJet80_60_40_DoubleBTagCSV_p063_Mbb60_200
Events stored in this primary dataset were selected because of the presence of at least two jets, tagged as b-quark jets with combined secondary vertex.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This MINIAOD dataset was processed from the RAW dataset by the following steps:
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016H-BTagCSV-UL2016_MiniAODv2
Output dataset: /BTagCSV/Run2016H-UL2016_MiniAODv2-v2/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016H_BTagCSV
Output dataset: /BTagCSV/Run2016H-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DoubleJet90_Double30_DoubleBTagCSV_p087
HLT_DoubleJet90_Double30_TripleBTagCSV_p087
HLT_DoubleJetsC100_DoubleBTagCSV_p014_DoublePFJetsC100MaxDeta1p6
HLT_DoubleJetsC100_DoubleBTagCSV_p026_DoublePFJetsC160
HLT_DoubleJetsC100_SingleBTagCSV_p014_SinglePFJetC350
HLT_DoubleJetsC100_SingleBTagCSV_p014
HLT_DoubleJetsC100_SingleBTagCSV_p026_SinglePFJetC350
HLT_DoubleJetsC100_SingleBTagCSV_p026
HLT_DoubleJetsC112_DoubleBTagCSV_p014_DoublePFJetsC112MaxDeta1p6
HLT_DoubleJetsC112_DoubleBTagCSV_p026_DoublePFJetsC172
HLT_QuadJet45_DoubleBTagCSV_p087
HLT_QuadJet45_TripleBTagCSV_p087
HLT_QuadPFJet_BTagCSV_p016_VBF_Mqq460
HLT_QuadPFJet_BTagCSV_p016_VBF_Mqq500
HLT_QuadPFJet_BTagCSV_p016_p11_VBF_Mqq200
HLT_QuadPFJet_BTagCSV_p016_p11_VBF_Mqq240
HLT_Rsq0p02_MR300_TriPFJet80_60_40_BTagCSV_p063_p20_Mbb60_200
HLT_Rsq0p02_MR300_TriPFJet80_60_40_DoubleBTagCSV_p063_Mbb60_200
HLT_Rsq0p02_MR400_TriPFJet80_60_40_DoubleBTagCSV_p063_Mbb60_200
HLT_Rsq0p02_MR450_TriPFJet80_60_40_DoubleBTagCSV_p063_Mbb60_200
HLT_Rsq0p02_MR500_TriPFJet80_60_40_DoubleBTagCSV_p063_Mbb60_200
HLT_Rsq0p02_MR550_TriPFJet80_60_40_DoubleBTagCSV_p063_Mbb60_200
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / PAT
This primary MINIAOD dataset was processed from the RAW dataset by the following step:
Step: PAT
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016H-BTagMu-UL2016_MiniAODv2\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_BTagMu_AK8Jet300_Mu5
HLT_BTagMu_DiJet110_Mu5
HLT_BTagMu_DiJet170_Mu5
HLT_BTagMu_DiJet20_Mu5
HLT_BTagMu_DiJet40_Mu5
HLT_BTagMu_DiJet70_Mu5
HLT_BTagMu_Jet300_Mu5
Events stored in this primary dataset were selected because of the presence of a muon from the b-quark decay, and one or more jets.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This MINIAOD dataset was processed from the RAW dataset by the following steps:
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016H-BTagMu-UL2016_MiniAODv2
Output dataset: /BTagMu/Run2016H-UL2016_MiniAODv2-v1/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016H_BTagMu
Output dataset: /BTagMu/Run2016H-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_BTagMu_AK8Jet300_Mu5
HLT_BTagMu_DiJet110_Mu5
HLT_BTagMu_DiJet170_Mu5
HLT_BTagMu_DiJet20_Mu5
HLT_BTagMu_DiJet40_Mu5
HLT_BTagMu_DiJet70_Mu5
HLT_BTagMu_Jet300_Mu5
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / PAT
This primary MINIAOD dataset was processed from the RAW dataset by the following step:
Step: PAT
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016H-Charmonium-UL2016_MiniAODv2\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_Dimuon0_Jpsi_Muon
HLT_Dimuon0er16_Jpsi_NoOS_NoVertexing
HLT_Dimuon0er16_Jpsi_NoVertexing
HLT_Dimuon10_Jpsi_Barrel
HLT_Dimuon13_PsiPrime
HLT_Dimuon16_Jpsi
HLT_Dimuon20_Jpsi
HLT_Dimuon6_Jpsi_NoVertexing
HLT_Dimuon8_PsiPrime_Barrel
HLT_DoubleMu4_3_Bs
HLT_DoubleMu4_3_Jpsi_Displaced
HLT_DoubleMu4_JpsiTrk_Displaced
HLT_DoubleMu4_PsiPrimeTrk_Displaced
HLT_Mu7p5_L2Mu2_Jpsi
HLT_Mu7p5_Track2_Jpsi
HLT_Mu7p5_Track3p5_Jpsi
HLT_Mu7p5_Track7_Jpsi
HLT_QuadMuon0_Dimuon0_Jpsi
Events stored in this primary dataset were selected because of the presence of at least two muons, or a muon and a track with some requirements in the invariant mass for selecting low-mass resonances.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This MINIAOD dataset was processed from the RAW dataset by the following steps:
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016H-Charmonium-UL2016_MiniAODv2
Output dataset: /Charmonium/Run2016H-UL2016_MiniAODv2-v2/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016H_Charmonium
Output dataset: /Charmonium/Run2016H-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_Dimuon0_Jpsi_Muon
HLT_Dimuon0er16_Jpsi_NoOS_NoVertexing
HLT_Dimuon0er16_Jpsi_NoVertexing
HLT_Dimuon10_Jpsi_Barrel
HLT_Dimuon13_PsiPrime
HLT_Dimuon16_Jpsi
HLT_Dimuon20_Jpsi
HLT_Dimuon6_Jpsi_NoVertexing
HLT_Dimuon8_PsiPrime_Barrel
HLT_DoubleMu4_3_Bs
HLT_DoubleMu4_3_Jpsi_Displaced
HLT_DoubleMu4_JpsiTrk_Displaced
HLT_DoubleMu4_PsiPrimeTrk_Displaced
HLT_Mu7p5_L2Mu2_Jpsi
HLT_Mu7p5_Track2_Jpsi
HLT_Mu7p5_Track3p5_Jpsi
HLT_Mu7p5_Track7_Jpsi
HLT_QuadMuon0_Dimuon0_Jpsi
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / PAT
This primary MINIAOD dataset was processed from the RAW dataset by the following step:
Step: PAT
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016H-DisplacedJet-UL2016_MiniAODv2\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_HT200_DisplacedDijet40_DisplacedTrack
HLT_HT200
HLT_HT250_DisplacedDijet40_DisplacedTrack
HLT_HT275
HLT_HT325
HLT_HT350_DisplacedDijet40_DisplacedTrack
HLT_HT350_DisplacedDijet40_Inclusive
HLT_HT350_DisplacedDijet80_DisplacedTrack
HLT_HT350_DisplacedDijet80_Tight_DisplacedTrack
HLT_HT400_DisplacedDijet40_Inclusive
HLT_HT425
HLT_HT500_DisplacedDijet40_Inclusive
HLT_HT550_DisplacedDijet40_Inclusive
HLT_HT550_DisplacedDijet80_Inclusive
HLT_HT575
HLT_HT650_DisplacedDijet80_Inclusive
HLT_HT750_DisplacedDijet80_Inclusive
HLT_VBF_DisplacedJet40_DisplacedTrack_2TrackIP2DSig5
HLT_VBF_DisplacedJet40_DisplacedTrack
HLT_VBF_DisplacedJet40_Hadronic_2PromptTrack
HLT_VBF_DisplacedJet40_Hadronic
HLT_VBF_DisplacedJet40_TightID_DisplacedTrack
HLT_VBF_DisplacedJet40_TightID_Hadronic
HLT_VBF_DisplacedJet40_VTightID_DisplacedTrack
HLT_VBF_DisplacedJet40_VTightID_Hadronic
HLT_VBF_DisplacedJet40_VVTightID_DisplacedTrack
HLT_VBF_DisplacedJet40_VVTightID_Hadronic
Events stored in this primary dataset were selected because of the presence of one or more displaced jets, or a displaced jet and/or high scalar sum of the jet transverse momenta (HT).
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This MINIAOD dataset was processed from the RAW dataset by the following steps:
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016H-DisplacedJet-UL2016_MiniAODv2
Output dataset: /DisplacedJet/Run2016H-UL2016_MiniAODv2-v1/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016H_DisplacedJet
Output dataset: /DisplacedJet/Run2016H-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_HT200_DisplacedDijet40_DisplacedTrack
HLT_HT200
HLT_HT250_DisplacedDijet40_DisplacedTrack
HLT_HT275
HLT_HT325
HLT_HT350_DisplacedDijet40_DisplacedTrack
HLT_HT350_DisplacedDijet40_Inclusive
HLT_HT350_DisplacedDijet80_DisplacedTrack
HLT_HT350_DisplacedDijet80_Tight_DisplacedTrack
HLT_HT400_DisplacedDijet40_Inclusive
HLT_HT425
HLT_HT500_DisplacedDijet40_Inclusive
HLT_HT550_DisplacedDijet40_Inclusive
HLT_HT550_DisplacedDijet80_Inclusive
HLT_HT575
HLT_HT650_DisplacedDijet80_Inclusive
HLT_HT750_DisplacedDijet80_Inclusive
HLT_VBF_DisplacedJet40_DisplacedTrack_2TrackIP2DSig5
HLT_VBF_DisplacedJet40_DisplacedTrack
HLT_VBF_DisplacedJet40_Hadronic_2PromptTrack
HLT_VBF_DisplacedJet40_Hadronic
HLT_VBF_DisplacedJet40_TightID_DisplacedTrack
HLT_VBF_DisplacedJet40_TightID_Hadronic
HLT_VBF_DisplacedJet40_VTightID_DisplacedTrack
HLT_VBF_DisplacedJet40_VTightID_Hadronic
HLT_VBF_DisplacedJet40_VVTightID_DisplacedTrack
HLT_VBF_DisplacedJet40_VVTightID_Hadronic
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / PAT
This primary MINIAOD dataset was processed from the RAW dataset by the following step:
Step: PAT
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016H-DoubleEG-UL2016_MiniAODv2\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_Diphoton30EB_18EB_R9Id_OR_IsoCaloId_AND_HE_R9Id_DoublePixelVeto_Mass55
HLT_Diphoton30PV_18PV_R9Id_AND_IsoCaloId_AND_HE_R9Id_DoublePixelVeto_Mass55
HLT_Diphoton30_18_R9Id_OR_IsoCaloId_AND_HE_R9Id_DoublePixelSeedMatch_Mass70
HLT_Diphoton30_18_R9Id_OR_IsoCaloId_AND_HE_R9Id_Mass90
HLT_Diphoton30_18_Solid_R9Id_AND_IsoCaloId_AND_HE_R9Id_Mass55
HLT_DoubleEle24_22_eta2p1_WPLoose_Gsf
HLT_DoubleEle33_CaloIdL_GsfTrkIdVL_MW
HLT_DoubleEle33_CaloIdL_GsfTrkIdVL
HLT_DoubleEle33_CaloIdL_MW
HLT_DoubleEle33_CaloIdL
HLT_DoubleEle37_Ele27_CaloIdL_GsfTrkIdVL
HLT_DoubleEle8_CaloIdM_TrackIdM_Mass8_PFHT250
HLT_DoubleEle8_CaloIdM_TrackIdM_Mass8_PFHT300
HLT_DoublePhoton60
HLT_DoublePhoton85
HLT_ECALHT800
HLT_Ele10_CaloIdM_TrackIdM_CentralPFJet30_BTagCSV_p13
HLT_Ele12_CaloIdL_TrackIdL_IsoVL_PFJet30
HLT_Ele12_CaloIdL_TrackIdL_IsoVL
HLT_Ele12_CaloIdM_TrackIdM_PFJet30
HLT_Ele16_Ele12_Ele8_CaloIdL_TrackIdL
HLT_Ele17_CaloIdL_GsfTrkIdVL
HLT_Ele17_CaloIdL_TrackIdL_IsoVL_PFJet30
HLT_Ele17_CaloIdL_TrackIdL_IsoVL
HLT_Ele17_CaloIdM_TrackIdM_PFJet30
HLT_Ele17_Ele12_CaloIdL_TrackIdL_IsoVL_DZ
HLT_Ele17_Ele12_CaloIdL_TrackIdL_IsoVL
HLT_Ele23_CaloIdL_TrackIdL_IsoVL_PFJet30
HLT_Ele23_CaloIdL_TrackIdL_IsoVL
HLT_Ele23_CaloIdM_TrackIdM_PFJet30
HLT_Ele23_Ele12_CaloIdL_TrackIdL_IsoVL_DZ_L1JetTauSeeded
HLT_Ele23_Ele12_CaloIdL_TrackIdL_IsoVL_DZ
HLT_Ele23_Ele12_CaloIdL_TrackIdL_IsoVL
HLT_Ele27_HighEta_Ele20_Mass55
HLT_Ele30WP60_Ele8_Mass55
HLT_Ele30WP60_SC4_Mass55
HLT_Ele8_CaloIdL_TrackIdL_IsoVL_PFJet30
HLT_Ele8_CaloIdM_TrackIdM_PFJet30
HLT_Photon26_R9Id85_OR_CaloId24b40e_Iso50T80L_Photon16_AND_HE10_R9Id65_Eta2_Mass60
HLT_Photon36_R9Id85_OR_CaloId24b40e_Iso50T80L_Photon22_AND_HE10_R9Id65_Eta2_Mass15
HLT_Photon42_R9Id85_OR_CaloId24b40e_Iso50T80L_Photon25_AND_HE10_R9Id65_Eta2_Mass15
Events stored in this primary dataset were selected because of the presence of different combinations of energetic photons, electrons and/or jets.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This MINIAOD dataset was processed from the RAW dataset by the following steps:
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016H-DoubleEG-UL2016_MiniAODv2
Output dataset: /DoubleEG/Run2016H-UL2016_MiniAODv2-v1/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016H_DoubleEG
Output dataset: /DoubleEG/Run2016H-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_Diphoton30EB_18EB_R9Id_OR_IsoCaloId_AND_HE_R9Id_DoublePixelVeto_Mass55
HLT_Diphoton30PV_18PV_R9Id_AND_IsoCaloId_AND_HE_R9Id_DoublePixelVeto_Mass55
HLT_Diphoton30_18_R9Id_OR_IsoCaloId_AND_HE_R9Id_DoublePixelSeedMatch_Mass70
HLT_Diphoton30_18_R9Id_OR_IsoCaloId_AND_HE_R9Id_Mass90
HLT_Diphoton30_18_Solid_R9Id_AND_IsoCaloId_AND_HE_R9Id_Mass55
HLT_DoubleEle24_22_eta2p1_WPLoose_Gsf
HLT_DoubleEle33_CaloIdL_GsfTrkIdVL_MW
HLT_DoubleEle33_CaloIdL_GsfTrkIdVL
HLT_DoubleEle33_CaloIdL_MW
HLT_DoubleEle33_CaloIdL
HLT_DoubleEle37_Ele27_CaloIdL_GsfTrkIdVL
HLT_DoubleEle8_CaloIdM_TrackIdM_Mass8_PFHT250
HLT_DoubleEle8_CaloIdM_TrackIdM_Mass8_PFHT300
HLT_DoublePhoton60
HLT_DoublePhoton85
HLT_ECALHT800
HLT_Ele10_CaloIdM_TrackIdM_CentralPFJet30_BTagCSV_p13
HLT_Ele12_CaloIdL_TrackIdL_IsoVL_PFJet30
HLT_Ele12_CaloIdL_TrackIdL_IsoVL
HLT_Ele12_CaloIdM_TrackIdM_PFJet30
HLT_Ele16_Ele12_Ele8_CaloIdL_TrackIdL
HLT_Ele17_CaloIdL_GsfTrkIdVL
HLT_Ele17_CaloIdL_TrackIdL_IsoVL_PFJet30
HLT_Ele17_CaloIdL_TrackIdL_IsoVL
HLT_Ele17_CaloIdM_TrackIdM_PFJet30
HLT_Ele17_Ele12_CaloIdL_TrackIdL_IsoVL_DZ
HLT_Ele17_Ele12_CaloIdL_TrackIdL_IsoVL
HLT_Ele23_CaloIdL_TrackIdL_IsoVL_PFJet30
HLT_Ele23_CaloIdL_TrackIdL_IsoVL
HLT_Ele23_CaloIdM_TrackIdM_PFJet30
HLT_Ele23_Ele12_CaloIdL_TrackIdL_IsoVL_DZ_L1JetTauSeeded
HLT_Ele23_Ele12_CaloIdL_TrackIdL_IsoVL_DZ
HLT_Ele23_Ele12_CaloIdL_TrackIdL_IsoVL
HLT_Ele27_HighEta_Ele20_Mass55
HLT_Ele30WP60_Ele8_Mass55
HLT_Ele30WP60_SC4_Mass55
HLT_Ele8_CaloIdL_TrackIdL_IsoVL_PFJet30
HLT_Ele8_CaloIdM_TrackIdM_PFJet30
HLT_Photon26_R9Id85_OR_CaloId24b40e_Iso50T80L_Photon16_AND_HE10_R9Id65_Eta2_Mass60
HLT_Photon36_R9Id85_OR_CaloId24b40e_Iso50T80L_Photon22_AND_HE10_R9Id65_Eta2_Mass15
HLT_Photon42_R9Id85_OR_CaloId24b40e_Iso50T80L_Photon25_AND_HE10_R9Id65_Eta2_Mass15
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / PAT
This primary MINIAOD dataset was processed from the RAW dataset by the following step:
Step: PAT
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016H-DoubleMuon-UL2016_MiniAODv2\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DoubleMu0
HLT_DoubleMu18NoFiltersNoVtx
HLT_DoubleMu23NoFiltersNoVtxDisplaced
HLT_DoubleMu28NoFiltersNoVtxDisplaced
HLT_DoubleMu33NoFiltersNoVtx
HLT_DoubleMu38NoFiltersNoVtx
HLT_DoubleMu8_Mass8_PFHT250
HLT_DoubleMu8_Mass8_PFHT300
HLT_L2DoubleMu23_NoVertex
HLT_L2DoubleMu28_NoVertex_2Cha_Angle2p5_Mass10
HLT_L2DoubleMu38_NoVertex_2Cha_Angle2p5_Mass10
HLT_Mu10_CentralPFJet30_BTagCSV_p13
HLT_Mu17_Mu8_DZ
HLT_Mu17_Mu8_SameSign_DZ
HLT_Mu17_Mu8_SameSign
HLT_Mu17_Mu8
HLT_Mu17_TkMu8_DZ
HLT_Mu17_TrkIsoVVL_Mu8_TrkIsoVVL_DZ
HLT_Mu17_TrkIsoVVL_Mu8_TrkIsoVVL
HLT_Mu17_TrkIsoVVL_TkMu8_TrkIsoVVL_DZ
HLT_Mu17_TrkIsoVVL_TkMu8_TrkIsoVVL
HLT_Mu17_TrkIsoVVL
HLT_Mu17
HLT_Mu20_Mu10_DZ
HLT_Mu20_Mu10_SameSign_DZ
HLT_Mu20_Mu10_SameSign
HLT_Mu20_Mu10
HLT_Mu27_TkMu8
HLT_Mu30_TkMu11
HLT_Mu3_PFJet40
HLT_Mu40_TkMu11
HLT_Mu8_TrkIsoVVL
HLT_Mu8
HLT_TkMu17_TrkIsoVVL_TkMu8_TrkIsoVVL_DZ
HLT_TkMu17_TrkIsoVVL_TkMu8_TrkIsoVVL
HLT_TripleMu_12_10_5
HLT_TripleMu_5_3_3_DZ_Mass3p8
HLT_TripleMu_5_3_3
HLT_TrkMu15_DoubleTrkMu5NoFiltersNoVtx
HLT_TrkMu17_DoubleTrkMu8NoFiltersNoVtx
Events stored in this primary dataset were selected because of the presence of at least two energetic muons in the event.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This MINIAOD dataset was processed from the RAW dataset by the following steps:
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016H-DoubleMuon-UL2016_MiniAODv2
Output dataset: /DoubleMuon/Run2016H-UL2016_MiniAODv2-v2/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016H_DoubleMuon
Output dataset: /DoubleMuon/Run2016H-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DoubleMu0
HLT_DoubleMu18NoFiltersNoVtx
HLT_DoubleMu23NoFiltersNoVtxDisplaced
HLT_DoubleMu28NoFiltersNoVtxDisplaced
HLT_DoubleMu33NoFiltersNoVtx
HLT_DoubleMu38NoFiltersNoVtx
HLT_DoubleMu8_Mass8_PFHT250
HLT_DoubleMu8_Mass8_PFHT300
HLT_L2DoubleMu23_NoVertex
HLT_L2DoubleMu28_NoVertex_2Cha_Angle2p5_Mass10
HLT_L2DoubleMu38_NoVertex_2Cha_Angle2p5_Mass10
HLT_Mu10_CentralPFJet30_BTagCSV_p13
HLT_Mu17_Mu8_DZ
HLT_Mu17_Mu8_SameSign_DZ
HLT_Mu17_Mu8_SameSign
HLT_Mu17_Mu8
HLT_Mu17_TkMu8_DZ
HLT_Mu17_TrkIsoVVL_Mu8_TrkIsoVVL_DZ
HLT_Mu17_TrkIsoVVL_Mu8_TrkIsoVVL
HLT_Mu17_TrkIsoVVL_TkMu8_TrkIsoVVL_DZ
HLT_Mu17_TrkIsoVVL_TkMu8_TrkIsoVVL
HLT_Mu17_TrkIsoVVL
HLT_Mu17
HLT_Mu20_Mu10_DZ
HLT_Mu20_Mu10_SameSign_DZ
HLT_Mu20_Mu10_SameSign
HLT_Mu20_Mu10
HLT_Mu27_TkMu8
HLT_Mu30_TkMu11
HLT_Mu3_PFJet40
HLT_Mu40_TkMu11
HLT_Mu8_TrkIsoVVL
HLT_Mu8
HLT_TkMu17_TrkIsoVVL_TkMu8_TrkIsoVVL_DZ
HLT_TkMu17_TrkIsoVVL_TkMu8_TrkIsoVVL
HLT_TripleMu_12_10_5
HLT_TripleMu_5_3_3_DZ_Mass3p8
HLT_TripleMu_5_3_3
HLT_TrkMu15_DoubleTrkMu5NoFiltersNoVtx
HLT_TrkMu17_DoubleTrkMu8NoFiltersNoVtx
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / PAT
This primary MINIAOD dataset was processed from the RAW dataset by the following step:
Step: PAT
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016H-DoubleMuonLowMass-UL2016_MiniAODv2\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DoubleMu3_Trk_Tau3mu
HLT_DoubleMu4_LowMassNonResonantTrk_Displaced
Events stored in this primary dataset were selected because of the presence of at least two muons with low invariant mass.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This MINIAOD dataset was processed from the RAW dataset by the following steps:
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016H-DoubleMuonLowMass-UL2016_MiniAODv2
Output dataset: /DoubleMuonLowMass/Run2016H-UL2016_MiniAODv2-v1/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step ReReco-Run2016H-DoubleMuonLowMass-21Feb2020_UL2016
Output dataset: /DoubleMuonLowMass/Run2016H-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DoubleMu3_Trk_Tau3mu
HLT_DoubleMu4_LowMassNonResonantTrk_Displaced
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / PAT
This primary MINIAOD dataset was processed from the RAW dataset by the following step:
Step: PAT
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016H-HTMHT-UL2016_MiniAODv2\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DiPFJet40_DEta3p5_MJJ600_PFMETNoMu140
HLT_DiPFJet40_DEta3p5_MJJ600_PFMETNoMu80
HLT_PFHT200_DiPFJetAve90_PFAlphaT0p57
HLT_PFHT200_DiPFJetAve90_PFAlphaT0p63
HLT_PFHT200_PFAlphaT0p51
HLT_PFHT250_DiPFJetAve90_PFAlphaT0p55
HLT_PFHT250_DiPFJetAve90_PFAlphaT0p58
HLT_PFHT300_DiPFJetAve90_PFAlphaT0p53
HLT_PFHT300_DiPFJetAve90_PFAlphaT0p54
HLT_PFHT300_PFMET100
HLT_PFHT300_PFMET110
HLT_PFHT350_DiPFJetAve90_PFAlphaT0p52
HLT_PFHT350_DiPFJetAve90_PFAlphaT0p53
HLT_PFHT400_DiPFJetAve90_PFAlphaT0p51
HLT_PFHT400_DiPFJetAve90_PFAlphaT0p52
HLT_Rsq0p25
HLT_Rsq0p30
HLT_RsqMR240_Rsq0p09_MR200_4jet
HLT_RsqMR240_Rsq0p09_MR200
HLT_RsqMR270_Rsq0p09_MR200_4jet
HLT_RsqMR270_Rsq0p09_MR200
Events stored in this primary dataset were selected because of the presence of a combination of a high scalar sum of the jet transverse momenta (HT), one or more energetic jets, or high missing transverse energy.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This MINIAOD dataset was processed from the RAW dataset by the following steps:
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016H-HTMHT-UL2016_MiniAODv2
Output dataset: /HTMHT/Run2016H-UL2016_MiniAODv2-v1/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016H_HTMHT
Output dataset: /HTMHT/Run2016H-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DiPFJet40_DEta3p5_MJJ600_PFMETNoMu140
HLT_DiPFJet40_DEta3p5_MJJ600_PFMETNoMu80
HLT_PFHT200_DiPFJetAve90_PFAlphaT0p57
HLT_PFHT200_DiPFJetAve90_PFAlphaT0p63
HLT_PFHT200_PFAlphaT0p51
HLT_PFHT250_DiPFJetAve90_PFAlphaT0p55
HLT_PFHT250_DiPFJetAve90_PFAlphaT0p58
HLT_PFHT300_DiPFJetAve90_PFAlphaT0p53
HLT_PFHT300_DiPFJetAve90_PFAlphaT0p54
HLT_PFHT300_PFMET100
HLT_PFHT300_PFMET110
HLT_PFHT350_DiPFJetAve90_PFAlphaT0p52
HLT_PFHT350_DiPFJetAve90_PFAlphaT0p53
HLT_PFHT400_DiPFJetAve90_PFAlphaT0p51
HLT_PFHT400_DiPFJetAve90_PFAlphaT0p52
HLT_Rsq0p25
HLT_Rsq0p30
HLT_RsqMR240_Rsq0p09_MR200_4jet
HLT_RsqMR240_Rsq0p09_MR200
HLT_RsqMR270_Rsq0p09_MR200_4jet
HLT_RsqMR270_Rsq0p09_MR200
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / PAT
This primary MINIAOD dataset was processed from the RAW dataset by the following step:
Step: PAT
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016H-JetHT-UL2016_MiniAODv2\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_AK8DiPFJet250_200_TrimMass30_BTagCSV_p20
HLT_AK8DiPFJet250_200_TrimMass30
HLT_AK8DiPFJet280_200_TrimMass30_BTagCSV_p087
HLT_AK8DiPFJet280_200_TrimMass30_BTagCSV_p20
HLT_AK8DiPFJet280_200_TrimMass30
HLT_AK8DiPFJet300_200_TrimMass30_BTagCSV_p087
HLT_AK8DiPFJet300_200_TrimMass30_BTagCSV_p20
HLT_AK8DiPFJet300_200_TrimMass30
HLT_AK8PFHT600_TrimR0p1PT0p03Mass50_BTagCSV_p20
HLT_AK8PFHT650_TrimR0p1PT0p03Mass50
HLT_AK8PFHT700_TrimR0p1PT0p03Mass50
HLT_AK8PFHT750_TrimMass50
HLT_AK8PFHT800_TrimMass50
HLT_AK8PFJet140
HLT_AK8PFJet200
HLT_AK8PFJet260
HLT_AK8PFJet320
HLT_AK8PFJet360_TrimMass30
HLT_AK8PFJet400_TrimMass30
HLT_AK8PFJet400
HLT_AK8PFJet40
HLT_AK8PFJet450
HLT_AK8PFJet500
HLT_AK8PFJet60
HLT_AK8PFJet80
HLT_CaloJet500_NoJetID
HLT_DiCentralPFJet170_CFMax0p1
HLT_DiCentralPFJet170
HLT_DiCentralPFJet220_CFMax0p3
HLT_DiCentralPFJet330_CFMax0p5
HLT_DiCentralPFJet430
HLT_DiJetVBFMu_PassThrough
HLT_DiJetVBF_PassThrough
HLT_DiPFJetAve100_HFJEC
HLT_DiPFJetAve140
HLT_DiPFJetAve160_HFJEC
HLT_DiPFJetAve200
HLT_DiPFJetAve220_HFJEC
HLT_DiPFJetAve260
HLT_DiPFJetAve300_HFJEC
HLT_DiPFJetAve320
HLT_DiPFJetAve400
HLT_DiPFJetAve40
HLT_DiPFJetAve500
HLT_DiPFJetAve60_HFJEC
HLT_DiPFJetAve60
HLT_DiPFJetAve80_HFJEC
HLT_DiPFJetAve80
HLT_HT2000
HLT_HT2500
HLT_L1_TripleJet_VBF
HLT_PFHT125
HLT_PFHT200
HLT_PFHT250
HLT_PFHT300
HLT_PFHT350
HLT_PFHT400_SixJet30_DoubleBTagCSV_p056
HLT_PFHT400_SixJet30
HLT_PFHT400
HLT_PFHT450_SixJet40_BTagCSV_p056
HLT_PFHT450_SixJet40
HLT_PFHT475
HLT_PFHT550_4JetPt50
HLT_PFHT600
HLT_PFHT650_4JetPt50
HLT_PFHT650_WideJetMJJ900DEtaJJ1p5
HLT_PFHT650_WideJetMJJ950DEtaJJ1p5
HLT_PFHT650
HLT_PFHT750_4JetPt50
HLT_PFHT750_4JetPt70
HLT_PFHT750_4JetPt80
HLT_PFHT800_4JetPt50
HLT_PFHT800
HLT_PFHT850_4JetPt50
HLT_PFHT900
HLT_PFJet140
HLT_PFJet200
HLT_PFJet260
HLT_PFJet320
HLT_PFJet400
HLT_PFJet40
HLT_PFJet450
HLT_PFJet500
HLT_PFJet60
HLT_PFJet80
HLT_QuadPFJet_VBF
HLT_SingleCentralPFJet170_CFMax0p1
Events stored in this primary dataset were selected because of the presence of a high scalar sum of the jet transverse momenta (HT), or at least one or two energetic jets.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This MINIAOD dataset was processed from the RAW dataset by the following steps:
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016H-JetHT-UL2016_MiniAODv2
Output dataset: /JetHT/Run2016H-UL2016_MiniAODv2-v2/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016H_JetHT
Output dataset: /JetHT/Run2016H-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_AK8DiPFJet250_200_TrimMass30_BTagCSV_p20
HLT_AK8DiPFJet250_200_TrimMass30
HLT_AK8DiPFJet280_200_TrimMass30_BTagCSV_p087
HLT_AK8DiPFJet280_200_TrimMass30_BTagCSV_p20
HLT_AK8DiPFJet280_200_TrimMass30
HLT_AK8DiPFJet300_200_TrimMass30_BTagCSV_p087
HLT_AK8DiPFJet300_200_TrimMass30_BTagCSV_p20
HLT_AK8DiPFJet300_200_TrimMass30
HLT_AK8PFHT600_TrimR0p1PT0p03Mass50_BTagCSV_p20
HLT_AK8PFHT650_TrimR0p1PT0p03Mass50
HLT_AK8PFHT700_TrimR0p1PT0p03Mass50
HLT_AK8PFHT750_TrimMass50
HLT_AK8PFHT800_TrimMass50
HLT_AK8PFJet140
HLT_AK8PFJet200
HLT_AK8PFJet260
HLT_AK8PFJet320
HLT_AK8PFJet360_TrimMass30
HLT_AK8PFJet400_TrimMass30
HLT_AK8PFJet400
HLT_AK8PFJet40
HLT_AK8PFJet450
HLT_AK8PFJet500
HLT_AK8PFJet60
HLT_AK8PFJet80
HLT_CaloJet500_NoJetID
HLT_DiCentralPFJet170_CFMax0p1
HLT_DiCentralPFJet170
HLT_DiCentralPFJet220_CFMax0p3
HLT_DiCentralPFJet330_CFMax0p5
HLT_DiCentralPFJet430
HLT_DiJetVBFMu_PassThrough
HLT_DiJetVBF_PassThrough
HLT_DiPFJetAve100_HFJEC
HLT_DiPFJetAve140
HLT_DiPFJetAve160_HFJEC
HLT_DiPFJetAve200
HLT_DiPFJetAve220_HFJEC
HLT_DiPFJetAve260
HLT_DiPFJetAve300_HFJEC
HLT_DiPFJetAve320
HLT_DiPFJetAve400
HLT_DiPFJetAve40
HLT_DiPFJetAve500
HLT_DiPFJetAve60_HFJEC
HLT_DiPFJetAve60
HLT_DiPFJetAve80_HFJEC
HLT_DiPFJetAve80
HLT_HT2000
HLT_HT2500
HLT_L1_TripleJet_VBF
HLT_PFHT125
HLT_PFHT200
HLT_PFHT250
HLT_PFHT300
HLT_PFHT350
HLT_PFHT400_SixJet30_DoubleBTagCSV_p056
HLT_PFHT400_SixJet30
HLT_PFHT400
HLT_PFHT450_SixJet40_BTagCSV_p056
HLT_PFHT450_SixJet40
HLT_PFHT475
HLT_PFHT550_4JetPt50
HLT_PFHT600
HLT_PFHT650_4JetPt50
HLT_PFHT650_WideJetMJJ900DEtaJJ1p5
HLT_PFHT650_WideJetMJJ950DEtaJJ1p5
HLT_PFHT650
HLT_PFHT750_4JetPt50
HLT_PFHT750_4JetPt70
HLT_PFHT750_4JetPt80
HLT_PFHT800_4JetPt50
HLT_PFHT800
HLT_PFHT850_4JetPt50
HLT_PFHT900
HLT_PFJet140
HLT_PFJet200
HLT_PFJet260
HLT_PFJet320
HLT_PFJet400
HLT_PFJet40
HLT_PFJet450
HLT_PFJet500
HLT_PFJet60
HLT_PFJet80
HLT_QuadPFJet_VBF
HLT_SingleCentralPFJet170_CFMax0p1
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / PAT
This primary MINIAOD dataset was processed from the RAW dataset by the following step:
Step: PAT
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016H-MET-UL2016_MiniAODv2\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_CaloMHTNoPU90_PFMET90_PFMHT90_IDTight_BTagCSV_p067
HLT_CaloMHTNoPU90_PFMET90_PFMHT90_IDTight
HLT_DiCentralPFJet55_PFMET110
HLT_DoubleMu3_PFMET50
HLT_MET200
HLT_MET250
HLT_MET300
HLT_MET600
HLT_MET60_IsoTrk35_Loose
HLT_MET700
HLT_MET75_IsoTrk50
HLT_MET90_IsoTrk50
HLT_MonoCentralPFJet80_PFMETNoMu100_PFMHTNoMu100_IDTight
HLT_MonoCentralPFJet80_PFMETNoMu110_PFMHTNoMu110_IDTight
HLT_MonoCentralPFJet80_PFMETNoMu120_PFMHTNoMu120_IDTight
HLT_MonoCentralPFJet80_PFMETNoMu90_PFMHTNoMu90_IDTight
HLT_Mu14er_PFMET100
HLT_Mu3er_PFHT140_PFMET125
HLT_Mu6_PFHT200_PFMET100
HLT_Mu6_PFHT200_PFMET80_BTagCSV_p067
HLT_PFMET100_PFMHT100_IDTight_BeamHaloCleaned
HLT_PFMET100_PFMHT100_IDTight
HLT_PFMET110_PFMHT110_IDTight
HLT_PFMET120_BTagCSV_p067
HLT_PFMET120_Mu5
HLT_PFMET120_PFMHT120_IDTight
HLT_PFMET170_BeamHaloCleaned
HLT_PFMET170_HBHECleaned
HLT_PFMET170_HBHE_BeamHaloCleaned
HLT_PFMET170_JetIdCleaned
HLT_PFMET170_NoiseCleaned
HLT_PFMET170_NotCleaned
HLT_PFMET300
HLT_PFMET400
HLT_PFMET500
HLT_PFMET600
HLT_PFMET90_PFMHT90_IDTight
HLT_PFMETNoMu100_PFMHTNoMu100_IDTight
HLT_PFMETNoMu110_PFMHTNoMu110_IDTight
HLT_PFMETNoMu120_PFMHTNoMu120_IDTight
HLT_PFMETNoMu90_PFMHTNoMu90_IDTight
HLT_PFMETTypeOne190_HBHE_BeamHaloCleaned
Events stored in this primary dataset were selected because of the presence of high missing transverse energy.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This MINIAOD dataset was processed from the RAW dataset by the following steps:
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016H-MET-UL2016_MiniAODv2
Output dataset: /MET/Run2016H-UL2016_MiniAODv2-v2/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016H_MET
Output dataset: /MET/Run2016H-21Feb2020_UL2016-v2/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_CaloMHTNoPU90_PFMET90_PFMHT90_IDTight_BTagCSV_p067
HLT_CaloMHTNoPU90_PFMET90_PFMHT90_IDTight
HLT_DiCentralPFJet55_PFMET110
HLT_DoubleMu3_PFMET50
HLT_MET200
HLT_MET250
HLT_MET300
HLT_MET600
HLT_MET60_IsoTrk35_Loose
HLT_MET700
HLT_MET75_IsoTrk50
HLT_MET90_IsoTrk50
HLT_MonoCentralPFJet80_PFMETNoMu100_PFMHTNoMu100_IDTight
HLT_MonoCentralPFJet80_PFMETNoMu110_PFMHTNoMu110_IDTight
HLT_MonoCentralPFJet80_PFMETNoMu120_PFMHTNoMu120_IDTight
HLT_MonoCentralPFJet80_PFMETNoMu90_PFMHTNoMu90_IDTight
HLT_Mu14er_PFMET100
HLT_Mu3er_PFHT140_PFMET125
HLT_Mu6_PFHT200_PFMET100
HLT_Mu6_PFHT200_PFMET80_BTagCSV_p067
HLT_PFMET100_PFMHT100_IDTight_BeamHaloCleaned
HLT_PFMET100_PFMHT100_IDTight
HLT_PFMET110_PFMHT110_IDTight
HLT_PFMET120_BTagCSV_p067
HLT_PFMET120_Mu5
HLT_PFMET120_PFMHT120_IDTight
HLT_PFMET170_BeamHaloCleaned
HLT_PFMET170_HBHECleaned
HLT_PFMET170_HBHE_BeamHaloCleaned
HLT_PFMET170_JetIdCleaned
HLT_PFMET170_NoiseCleaned
HLT_PFMET170_NotCleaned
HLT_PFMET300
HLT_PFMET400
HLT_PFMET500
HLT_PFMET600
HLT_PFMET90_PFMHT90_IDTight
HLT_PFMETNoMu100_PFMHTNoMu100_IDTight
HLT_PFMETNoMu110_PFMHTNoMu110_IDTight
HLT_PFMETNoMu120_PFMHTNoMu120_IDTight
HLT_PFMETNoMu90_PFMHTNoMu90_IDTight
HLT_PFMETTypeOne190_HBHE_BeamHaloCleaned
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / PAT
This primary MINIAOD dataset was processed from the RAW dataset by the following step:
Step: PAT
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016H-MuOnia-UL2016_MiniAODv2\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_Dimuon0_Phi_Barrel
HLT_Dimuon0_Upsilon_Muon
HLT_Dimuon13_Upsilon
HLT_Dimuon8_Upsilon_Barrel
HLT_Mu16_TkMu0_dEta18_Onia
HLT_Mu16_TkMu0_dEta18_Phi
HLT_Mu25_TkMu0_dEta18_Onia
HLT_Mu7p5_L2Mu2_Upsilon
HLT_Mu7p5_Track2_Upsilon
HLT_Mu7p5_Track3p5_Upsilon
HLT_Mu7p5_Track7_Upsilon
HLT_QuadMuon0_Dimuon0_Upsilon
Events stored in this primary dataset were selected because of the presence of at least two muons in the event requiring only very low energy and some requirements in the invariant mass for selecting low-mass resonances.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This MINIAOD dataset was processed from the RAW dataset by the following steps:
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016H-MuOnia-UL2016_MiniAODv2
Output dataset: /MuOnia/Run2016H-UL2016_MiniAODv2-v2/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016H_MuOnia
Output dataset: /MuOnia/Run2016H-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_Dimuon0_Phi_Barrel
HLT_Dimuon0_Upsilon_Muon
HLT_Dimuon13_Upsilon
HLT_Dimuon8_Upsilon_Barrel
HLT_Mu16_TkMu0_dEta18_Onia
HLT_Mu16_TkMu0_dEta18_Phi
HLT_Mu25_TkMu0_dEta18_Onia
HLT_Mu7p5_L2Mu2_Upsilon
HLT_Mu7p5_Track2_Upsilon
HLT_Mu7p5_Track3p5_Upsilon
HLT_Mu7p5_Track7_Upsilon
HLT_QuadMuon0_Dimuon0_Upsilon
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / PAT
This primary MINIAOD dataset was processed from the RAW dataset by the following step:
Step: PAT
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016H-MuonEG-UL2016_MiniAODv2\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DiMu9_Ele9_CaloIdL_TrackIdL
HLT_Mu12_Photon25_CaloIdL_L1ISO
HLT_Mu12_Photon25_CaloIdL_L1OR
HLT_Mu12_Photon25_CaloIdL
HLT_Mu12_TrkIsoVVL_Ele23_CaloIdL_TrackIdL_IsoVL_DZ
HLT_Mu12_TrkIsoVVL_Ele23_CaloIdL_TrackIdL_IsoVL
HLT_Mu17_Photon22_CaloIdL_L1ISO
HLT_Mu17_Photon30_CaloIdL_L1ISO
HLT_Mu17_Photon35_CaloIdL_L1ISO
HLT_Mu17_TrkIsoVVL_Ele12_CaloIdL_TrackIdL_IsoVL
HLT_Mu23NoFiltersNoVtx_Photon23_CaloIdL
HLT_Mu23_TrkIsoVVL_Ele12_CaloIdL_TrackIdL_IsoVL_DZ
HLT_Mu23_TrkIsoVVL_Ele12_CaloIdL_TrackIdL_IsoVL
HLT_Mu23_TrkIsoVVL_Ele8_CaloIdL_TrackIdL_IsoVL_DZ
HLT_Mu23_TrkIsoVVL_Ele8_CaloIdL_TrackIdL_IsoVL
HLT_Mu27_Ele37_CaloIdL_GsfTrkIdVL
HLT_Mu28NoFiltersNoVtxDisplaced_Photon28_CaloIdL
HLT_Mu30_Ele30_CaloIdL_GsfTrkIdVL
HLT_Mu33NoFiltersNoVtxDisplaced_Photon33_CaloIdL
HLT_Mu33_Ele33_CaloIdL_GsfTrkIdVL
HLT_Mu37_Ele27_CaloIdL_GsfTrkIdVL
HLT_Mu38NoFiltersNoVtx_Photon38_CaloIdL
HLT_Mu42NoFiltersNoVtx_Photon42_CaloIdL
HLT_Mu8_DiEle12_CaloIdL_TrackIdL
HLT_Mu8_Ele8_CaloIdM_TrackIdM_Mass8_PFHT250
HLT_Mu8_Ele8_CaloIdM_TrackIdM_Mass8_PFHT300
HLT_Mu8_TrkIsoVVL_Ele17_CaloIdL_TrackIdL_IsoVL
HLT_Mu8_TrkIsoVVL_Ele23_CaloIdL_TrackIdL_IsoVL_DZ
HLT_Mu8_TrkIsoVVL_Ele23_CaloIdL_TrackIdL_IsoVL
Events stored in this primary dataset were selected because of the presence of one energetic muon and electron or photon.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This MINIAOD dataset was processed from the RAW dataset by the following steps:
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016H-MuonEG-UL2016_MiniAODv2
Output dataset: /MuonEG/Run2016H-UL2016_MiniAODv2-v2/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016H_MuonEG
Output dataset: /MuonEG/Run2016H-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DiMu9_Ele9_CaloIdL_TrackIdL
HLT_Mu12_Photon25_CaloIdL_L1ISO
HLT_Mu12_Photon25_CaloIdL_L1OR
HLT_Mu12_Photon25_CaloIdL
HLT_Mu12_TrkIsoVVL_Ele23_CaloIdL_TrackIdL_IsoVL_DZ
HLT_Mu12_TrkIsoVVL_Ele23_CaloIdL_TrackIdL_IsoVL
HLT_Mu17_Photon22_CaloIdL_L1ISO
HLT_Mu17_Photon30_CaloIdL_L1ISO
HLT_Mu17_Photon35_CaloIdL_L1ISO
HLT_Mu17_TrkIsoVVL_Ele12_CaloIdL_TrackIdL_IsoVL
HLT_Mu23NoFiltersNoVtx_Photon23_CaloIdL
HLT_Mu23_TrkIsoVVL_Ele12_CaloIdL_TrackIdL_IsoVL_DZ
HLT_Mu23_TrkIsoVVL_Ele12_CaloIdL_TrackIdL_IsoVL
HLT_Mu23_TrkIsoVVL_Ele8_CaloIdL_TrackIdL_IsoVL_DZ
HLT_Mu23_TrkIsoVVL_Ele8_CaloIdL_TrackIdL_IsoVL
HLT_Mu27_Ele37_CaloIdL_GsfTrkIdVL
HLT_Mu28NoFiltersNoVtxDisplaced_Photon28_CaloIdL
HLT_Mu30_Ele30_CaloIdL_GsfTrkIdVL
HLT_Mu33NoFiltersNoVtxDisplaced_Photon33_CaloIdL
HLT_Mu33_Ele33_CaloIdL_GsfTrkIdVL
HLT_Mu37_Ele27_CaloIdL_GsfTrkIdVL
HLT_Mu38NoFiltersNoVtx_Photon38_CaloIdL
HLT_Mu42NoFiltersNoVtx_Photon42_CaloIdL
HLT_Mu8_DiEle12_CaloIdL_TrackIdL
HLT_Mu8_Ele8_CaloIdM_TrackIdM_Mass8_PFHT250
HLT_Mu8_Ele8_CaloIdM_TrackIdM_Mass8_PFHT300
HLT_Mu8_TrkIsoVVL_Ele17_CaloIdL_TrackIdL_IsoVL
HLT_Mu8_TrkIsoVVL_Ele23_CaloIdL_TrackIdL_IsoVL_DZ
HLT_Mu8_TrkIsoVVL_Ele23_CaloIdL_TrackIdL_IsoVL
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / PAT
This primary MINIAOD dataset was processed from the RAW dataset by the following step:
Step: PAT
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016H-SingleElectron-UL2016_MiniAODv2\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_Ele105_CaloIdVT_GsfTrkIdT
HLT_Ele115_CaloIdVT_GsfTrkIdT
HLT_Ele145_CaloIdVT_GsfTrkIdT
HLT_Ele15_IsoVVVL_BTagCSV_p067_PFHT400
HLT_Ele15_IsoVVVL_PFHT350_PFMET50
HLT_Ele15_IsoVVVL_PFHT350
HLT_Ele15_IsoVVVL_PFHT400_PFMET50
HLT_Ele15_IsoVVVL_PFHT400
HLT_Ele15_IsoVVVL_PFHT600
HLT_Ele200_CaloIdVT_GsfTrkIdT
HLT_Ele20_eta2p1_WPLoose_Gsf_LooseIsoPFTau28
HLT_Ele22_eta2p1_WPLoose_Gsf_LooseIsoPFTau20_SingleL1
HLT_Ele22_eta2p1_WPLoose_Gsf_LooseIsoPFTau29
HLT_Ele22_eta2p1_WPLoose_Gsf
HLT_Ele23_WPLoose_Gsf_WHbbBoost
HLT_Ele23_WPLoose_Gsf
HLT_Ele24_eta2p1_WPLoose_Gsf_LooseIsoPFTau20_SingleL1
HLT_Ele24_eta2p1_WPLoose_Gsf_LooseIsoPFTau20
HLT_Ele24_eta2p1_WPLoose_Gsf_LooseIsoPFTau30
HLT_Ele24_eta2p1_WPLoose_Gsf
HLT_Ele250_CaloIdVT_GsfTrkIdT
HLT_Ele25_WPTight_Gsf
HLT_Ele25_eta2p1_WPLoose_Gsf
HLT_Ele25_eta2p1_WPTight_Gsf
HLT_Ele27_WPLoose_Gsf_WHbbBoost
HLT_Ele27_WPLoose_Gsf
HLT_Ele27_WPTight_Gsf_L1JetTauSeeded
HLT_Ele27_WPTight_Gsf
HLT_Ele27_eta2p1_WPLoose_Gsf_DoubleMediumIsoPFTau32_Trk1_eta2p1_Reg
HLT_Ele27_eta2p1_WPLoose_Gsf_DoubleMediumIsoPFTau35_Trk1_eta2p1_Reg
HLT_Ele27_eta2p1_WPLoose_Gsf_DoubleMediumIsoPFTau40_Trk1_eta2p1_Reg
HLT_Ele27_eta2p1_WPLoose_Gsf_HT200
HLT_Ele27_eta2p1_WPLoose_Gsf_LooseIsoPFTau20_SingleL1
HLT_Ele27_eta2p1_WPLoose_Gsf
HLT_Ele27_eta2p1_WPTight_Gsf
HLT_Ele300_CaloIdVT_GsfTrkIdT
HLT_Ele30_WPTight_Gsf
HLT_Ele30_eta2p1_WPTight_Gsf
HLT_Ele32_WPTight_Gsf
HLT_Ele32_eta2p1_WPLoose_Gsf_LooseIsoPFTau20_SingleL1
HLT_Ele32_eta2p1_WPTight_Gsf
HLT_Ele35_CaloIdVT_GsfTrkIdT_PFJet150_PFJet50
HLT_Ele35_WPLoose_Gsf
HLT_Ele36_eta2p1_WPLoose_Gsf_LooseIsoPFTau20_SingleL1
HLT_Ele45_CaloIdVT_GsfTrkIdT_PFJet200_PFJet50
HLT_Ele45_WPLoose_Gsf_L1JetTauSeeded
HLT_Ele45_WPLoose_Gsf
HLT_Ele50_CaloIdVT_GsfTrkIdT_PFJet140
HLT_Ele50_CaloIdVT_GsfTrkIdT_PFJet165
HLT_Ele50_IsoVVVL_PFHT400
Events stored in this primary dataset were selected because of the presence of at least one high-energy electron, or at least one high-energy electron and one or more jets or tau.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This MINIAOD dataset was processed from the RAW dataset by the following steps:
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016H-SingleElectron-UL2016_MiniAODv2
Output dataset: /SingleElectron/Run2016H-UL2016_MiniAODv2-v2/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016H_SingleElectron
Output dataset: /SingleElectron/Run2016H-21Feb2020_UL2016-v2/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_Ele105_CaloIdVT_GsfTrkIdT
HLT_Ele115_CaloIdVT_GsfTrkIdT
HLT_Ele145_CaloIdVT_GsfTrkIdT
HLT_Ele15_IsoVVVL_BTagCSV_p067_PFHT400
HLT_Ele15_IsoVVVL_PFHT350_PFMET50
HLT_Ele15_IsoVVVL_PFHT350
HLT_Ele15_IsoVVVL_PFHT400_PFMET50
HLT_Ele15_IsoVVVL_PFHT400
HLT_Ele15_IsoVVVL_PFHT600
HLT_Ele200_CaloIdVT_GsfTrkIdT
HLT_Ele20_eta2p1_WPLoose_Gsf_LooseIsoPFTau28
HLT_Ele22_eta2p1_WPLoose_Gsf_LooseIsoPFTau20_SingleL1
HLT_Ele22_eta2p1_WPLoose_Gsf_LooseIsoPFTau29
HLT_Ele22_eta2p1_WPLoose_Gsf
HLT_Ele23_WPLoose_Gsf_WHbbBoost
HLT_Ele23_WPLoose_Gsf
HLT_Ele24_eta2p1_WPLoose_Gsf_LooseIsoPFTau20_SingleL1
HLT_Ele24_eta2p1_WPLoose_Gsf_LooseIsoPFTau20
HLT_Ele24_eta2p1_WPLoose_Gsf_LooseIsoPFTau30
HLT_Ele24_eta2p1_WPLoose_Gsf
HLT_Ele250_CaloIdVT_GsfTrkIdT
HLT_Ele25_WPTight_Gsf
HLT_Ele25_eta2p1_WPLoose_Gsf
HLT_Ele25_eta2p1_WPTight_Gsf
HLT_Ele27_WPLoose_Gsf_WHbbBoost
HLT_Ele27_WPLoose_Gsf
HLT_Ele27_WPTight_Gsf_L1JetTauSeeded
HLT_Ele27_WPTight_Gsf
HLT_Ele27_eta2p1_WPLoose_Gsf_DoubleMediumIsoPFTau32_Trk1_eta2p1_Reg
HLT_Ele27_eta2p1_WPLoose_Gsf_DoubleMediumIsoPFTau35_Trk1_eta2p1_Reg
HLT_Ele27_eta2p1_WPLoose_Gsf_DoubleMediumIsoPFTau40_Trk1_eta2p1_Reg
HLT_Ele27_eta2p1_WPLoose_Gsf_HT200
HLT_Ele27_eta2p1_WPLoose_Gsf_LooseIsoPFTau20_SingleL1
HLT_Ele27_eta2p1_WPLoose_Gsf
HLT_Ele27_eta2p1_WPTight_Gsf
HLT_Ele300_CaloIdVT_GsfTrkIdT
HLT_Ele30_WPTight_Gsf
HLT_Ele30_eta2p1_WPTight_Gsf
HLT_Ele32_WPTight_Gsf
HLT_Ele32_eta2p1_WPLoose_Gsf_LooseIsoPFTau20_SingleL1
HLT_Ele32_eta2p1_WPTight_Gsf
HLT_Ele35_CaloIdVT_GsfTrkIdT_PFJet150_PFJet50
HLT_Ele35_WPLoose_Gsf
HLT_Ele36_eta2p1_WPLoose_Gsf_LooseIsoPFTau20_SingleL1
HLT_Ele45_CaloIdVT_GsfTrkIdT_PFJet200_PFJet50
HLT_Ele45_WPLoose_Gsf_L1JetTauSeeded
HLT_Ele45_WPLoose_Gsf
HLT_Ele50_CaloIdVT_GsfTrkIdT_PFJet140
HLT_Ele50_CaloIdVT_GsfTrkIdT_PFJet165
HLT_Ele50_IsoVVVL_PFHT400
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / PAT
This primary MINIAOD dataset was processed from the RAW dataset by the following step:
Step: PAT
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016H-SingleMuon-UL2016_MiniAODv2\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DoubleIsoMu17_eta2p1_noDzCut
HLT_DoubleIsoMu17_eta2p1
HLT_IsoMu16_eta2p1_MET30_LooseIsoPFTau50_Trk30_eta2p1
HLT_IsoMu16_eta2p1_MET30
HLT_IsoMu17_eta2p1_LooseIsoPFTau20_SingleL1
HLT_IsoMu17_eta2p1_LooseIsoPFTau20
HLT_IsoMu18
HLT_IsoMu19_eta2p1_LooseIsoPFTau20_SingleL1
HLT_IsoMu19_eta2p1_LooseIsoPFTau20
HLT_IsoMu19_eta2p1_MediumIsoPFTau32_Trk1_eta2p1_Reg
HLT_IsoMu20
HLT_IsoMu21_eta2p1_LooseIsoPFTau20_SingleL1
HLT_IsoMu21_eta2p1_LooseIsoPFTau50_Trk30_eta2p1_SingleL1
HLT_IsoMu21_eta2p1_MediumIsoPFTau32_Trk1_eta2p1_Reg
HLT_IsoMu22_eta2p1
HLT_IsoMu22
HLT_IsoMu24_eta2p1
HLT_IsoMu24
HLT_IsoMu27
HLT_IsoTkMu18
HLT_IsoTkMu20
HLT_IsoTkMu22_eta2p1
HLT_IsoTkMu22
HLT_IsoTkMu24_eta2p1
HLT_IsoTkMu24
HLT_IsoTkMu27
HLT_L1SingleMu16
HLT_L1SingleMu18
HLT_L2Mu10
HLT_Mu10_TrkIsoVVL_DiPFJet40_DEta3p5_MJJ750_HTT350_PFMETNoMu60
HLT_Mu15_IsoVVVL_BTagCSV_p067_PFHT400
HLT_Mu15_IsoVVVL_PFHT350_PFMET50
HLT_Mu15_IsoVVVL_PFHT350
HLT_Mu15_IsoVVVL_PFHT400_PFMET50
HLT_Mu15_IsoVVVL_PFHT400
HLT_Mu15_IsoVVVL_PFHT600
HLT_Mu16_eta2p1_MET30
HLT_Mu20
HLT_Mu24_eta2p1
HLT_Mu27
HLT_Mu28NoFiltersNoVtx_CentralCaloJet40
HLT_Mu28NoFiltersNoVtx_DisplacedJet40_Loose
HLT_Mu300
HLT_Mu30_eta2p1_PFJet150_PFJet50
HLT_Mu33NoFiltersNoVtxDisplaced_DisplacedJet50_Loose
HLT_Mu33NoFiltersNoVtxDisplaced_DisplacedJet50_Tight
HLT_Mu350
HLT_Mu38NoFiltersNoVtxDisplaced_DisplacedJet60_Loose
HLT_Mu38NoFiltersNoVtxDisplaced_DisplacedJet60_Tight
HLT_Mu38NoFiltersNoVtx_DisplacedJet60_Loose
HLT_Mu40_eta2p1_PFJet200_PFJet50
HLT_Mu45_eta2p1
HLT_Mu50_IsoVVVL_PFHT400
HLT_Mu50
HLT_Mu55
HLT_Mu8_TrkIsoVVL_DiPFJet40_DEta3p5_MJJ750_HTT300_PFMETNoMu60
HLT_TkMu17
HLT_TkMu20
HLT_TkMu24_eta2p1
HLT_TkMu27
HLT_TkMu50
Events stored in this primary dataset were selected because of the presence of at least one energetic muon, or at least one muon and one or more jets, tau or high missing transverse momentum.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This MINIAOD dataset was processed from the RAW dataset by the following steps:
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016H-SingleMuon-UL2016_MiniAODv2
Output dataset: /SingleMuon/Run2016H-UL2016_MiniAODv2-v2/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016H_SingleMuon
Output dataset: /SingleMuon/Run2016H-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DoubleIsoMu17_eta2p1_noDzCut
HLT_DoubleIsoMu17_eta2p1
HLT_IsoMu16_eta2p1_MET30_LooseIsoPFTau50_Trk30_eta2p1
HLT_IsoMu16_eta2p1_MET30
HLT_IsoMu17_eta2p1_LooseIsoPFTau20_SingleL1
HLT_IsoMu17_eta2p1_LooseIsoPFTau20
HLT_IsoMu18
HLT_IsoMu19_eta2p1_LooseIsoPFTau20_SingleL1
HLT_IsoMu19_eta2p1_LooseIsoPFTau20
HLT_IsoMu19_eta2p1_MediumIsoPFTau32_Trk1_eta2p1_Reg
HLT_IsoMu20
HLT_IsoMu21_eta2p1_LooseIsoPFTau20_SingleL1
HLT_IsoMu21_eta2p1_LooseIsoPFTau50_Trk30_eta2p1_SingleL1
HLT_IsoMu21_eta2p1_MediumIsoPFTau32_Trk1_eta2p1_Reg
HLT_IsoMu22_eta2p1
HLT_IsoMu22
HLT_IsoMu24_eta2p1
HLT_IsoMu24
HLT_IsoMu27
HLT_IsoTkMu18
HLT_IsoTkMu20
HLT_IsoTkMu22_eta2p1
HLT_IsoTkMu22
HLT_IsoTkMu24_eta2p1
HLT_IsoTkMu24
HLT_IsoTkMu27
HLT_L1SingleMu16
HLT_L1SingleMu18
HLT_L2Mu10
HLT_Mu10_TrkIsoVVL_DiPFJet40_DEta3p5_MJJ750_HTT350_PFMETNoMu60
HLT_Mu15_IsoVVVL_BTagCSV_p067_PFHT400
HLT_Mu15_IsoVVVL_PFHT350_PFMET50
HLT_Mu15_IsoVVVL_PFHT350
HLT_Mu15_IsoVVVL_PFHT400_PFMET50
HLT_Mu15_IsoVVVL_PFHT400
HLT_Mu15_IsoVVVL_PFHT600
HLT_Mu16_eta2p1_MET30
HLT_Mu20
HLT_Mu24_eta2p1
HLT_Mu27
HLT_Mu28NoFiltersNoVtx_CentralCaloJet40
HLT_Mu28NoFiltersNoVtx_DisplacedJet40_Loose
HLT_Mu300
HLT_Mu30_eta2p1_PFJet150_PFJet50
HLT_Mu33NoFiltersNoVtxDisplaced_DisplacedJet50_Loose
HLT_Mu33NoFiltersNoVtxDisplaced_DisplacedJet50_Tight
HLT_Mu350
HLT_Mu38NoFiltersNoVtxDisplaced_DisplacedJet60_Loose
HLT_Mu38NoFiltersNoVtxDisplaced_DisplacedJet60_Tight
HLT_Mu38NoFiltersNoVtx_DisplacedJet60_Loose
HLT_Mu40_eta2p1_PFJet200_PFJet50
HLT_Mu45_eta2p1
HLT_Mu50_IsoVVVL_PFHT400
HLT_Mu50
HLT_Mu55
HLT_Mu8_TrkIsoVVL_DiPFJet40_DEta3p5_MJJ750_HTT300_PFMETNoMu60
HLT_TkMu17
HLT_TkMu20
HLT_TkMu24_eta2p1
HLT_TkMu27
HLT_TkMu50
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / PAT
This primary MINIAOD dataset was processed from the RAW dataset by the following step:
Step: PAT
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016H-SinglePhoton-UL2016_MiniAODv2\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_Photon120_R9Id90_HE10_Iso40_EBOnly_PFMET40
HLT_Photon120_R9Id90_HE10_Iso40_EBOnly_VBF
HLT_Photon120_R9Id90_HE10_IsoM
HLT_Photon120
HLT_Photon135_PFMET100
HLT_Photon165_HE10
HLT_Photon165_R9Id90_HE10_IsoM
HLT_Photon175
HLT_Photon22_R9Id90_HE10_Iso40_EBOnly_PFMET40
HLT_Photon22_R9Id90_HE10_Iso40_EBOnly_VBF
HLT_Photon22_R9Id90_HE10_IsoM
HLT_Photon22
HLT_Photon250_NoHE
HLT_Photon300_NoHE
HLT_Photon30_R9Id90_HE10_IsoM
HLT_Photon30
HLT_Photon36_R9Id90_HE10_Iso40_EBOnly_PFMET40
HLT_Photon36_R9Id90_HE10_Iso40_EBOnly_VBF
HLT_Photon36_R9Id90_HE10_IsoM
HLT_Photon36
HLT_Photon500
HLT_Photon50_R9Id90_HE10_Iso40_EBOnly_PFMET40
HLT_Photon50_R9Id90_HE10_Iso40_EBOnly_VBF
HLT_Photon50_R9Id90_HE10_IsoM
HLT_Photon50
HLT_Photon600
HLT_Photon75_R9Id90_HE10_Iso40_EBOnly_PFMET40
HLT_Photon75_R9Id90_HE10_Iso40_EBOnly_VBF
HLT_Photon75_R9Id90_HE10_IsoM
HLT_Photon75
HLT_Photon90_CaloIdL_PFHT500
HLT_Photon90_CaloIdL_PFHT600
HLT_Photon90_R9Id90_HE10_Iso40_EBOnly_PFMET40
HLT_Photon90_R9Id90_HE10_Iso40_EBOnly_VBF
HLT_Photon90_R9Id90_HE10_IsoM
HLT_Photon90
Events stored in this primary dataset were selected because of the presence of one energetic photon, or one photon and high missing transverse momentum.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This MINIAOD dataset was processed from the RAW dataset by the following steps:
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016H-SinglePhoton-UL2016_MiniAODv2
Output dataset: /SinglePhoton/Run2016H-UL2016_MiniAODv2-v2/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016H_SinglePhoton
Output dataset: /SinglePhoton/Run2016H-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_Photon120_R9Id90_HE10_Iso40_EBOnly_PFMET40
HLT_Photon120_R9Id90_HE10_Iso40_EBOnly_VBF
HLT_Photon120_R9Id90_HE10_IsoM
HLT_Photon120
HLT_Photon135_PFMET100
HLT_Photon165_HE10
HLT_Photon165_R9Id90_HE10_IsoM
HLT_Photon175
HLT_Photon22_R9Id90_HE10_Iso40_EBOnly_PFMET40
HLT_Photon22_R9Id90_HE10_Iso40_EBOnly_VBF
HLT_Photon22_R9Id90_HE10_IsoM
HLT_Photon22
HLT_Photon250_NoHE
HLT_Photon300_NoHE
HLT_Photon30_R9Id90_HE10_IsoM
HLT_Photon30
HLT_Photon36_R9Id90_HE10_Iso40_EBOnly_PFMET40
HLT_Photon36_R9Id90_HE10_Iso40_EBOnly_VBF
HLT_Photon36_R9Id90_HE10_IsoM
HLT_Photon36
HLT_Photon500
HLT_Photon50_R9Id90_HE10_Iso40_EBOnly_PFMET40
HLT_Photon50_R9Id90_HE10_Iso40_EBOnly_VBF
HLT_Photon50_R9Id90_HE10_IsoM
HLT_Photon50
HLT_Photon600
HLT_Photon75_R9Id90_HE10_Iso40_EBOnly_PFMET40
HLT_Photon75_R9Id90_HE10_Iso40_EBOnly_VBF
HLT_Photon75_R9Id90_HE10_IsoM
HLT_Photon75
HLT_Photon90_CaloIdL_PFHT500
HLT_Photon90_CaloIdL_PFHT600
HLT_Photon90_R9Id90_HE10_Iso40_EBOnly_PFMET40
HLT_Photon90_R9Id90_HE10_Iso40_EBOnly_VBF
HLT_Photon90_R9Id90_HE10_IsoM
HLT_Photon90
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / PAT
This primary MINIAOD dataset was processed from the RAW dataset by the following step:
Step: PAT
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016H-Tau-UL2016_MiniAODv2\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DoubleMediumCombinedIsoPFTau35_Trk1_eta2p1_Reg
HLT_DoubleMediumCombinedIsoPFTau40_Trk1_eta2p1_Reg
HLT_DoubleMediumCombinedIsoPFTau40_Trk1_eta2p1
HLT_DoubleMediumIsoPFTau32_Trk1_eta2p1_Reg
HLT_DoubleMediumIsoPFTau35_Trk1_eta2p1_Reg
HLT_DoubleMediumIsoPFTau40_Trk1_eta2p1_Reg
HLT_DoubleTightCombinedIsoPFTau35_Trk1_eta2p1_Reg
HLT_DoubleTightCombinedIsoPFTau40_Trk1_eta2p1_Reg
HLT_DoubleTightCombinedIsoPFTau40_Trk1_eta2p1
HLT_IsoMu19_eta2p1_LooseCombinedIsoPFTau20
HLT_IsoMu19_eta2p1_MediumCombinedIsoPFTau32_Trk1_eta2p1_Reg
HLT_IsoMu19_eta2p1_TightCombinedIsoPFTau32_Trk1_eta2p1_Reg
HLT_IsoMu21_eta2p1_MediumCombinedIsoPFTau32_Trk1_eta2p1_Reg
HLT_IsoMu21_eta2p1_TightCombinedIsoPFTau32_Trk1_eta2p1_Reg
HLT_LooseIsoPFTau50_Trk30_eta2p1_MET110
HLT_LooseIsoPFTau50_Trk30_eta2p1_MET120
HLT_LooseIsoPFTau50_Trk30_eta2p1_MET80
HLT_LooseIsoPFTau50_Trk30_eta2p1_MET90
HLT_LooseIsoPFTau50_Trk30_eta2p1
HLT_PFTau120_eta2p1
HLT_PFTau140_eta2p1
HLT_VLooseIsoPFTau120_Trk50_eta2p1
HLT_VLooseIsoPFTau140_Trk50_eta2p1
Events stored in this primary dataset were selected because of the presence of at least one tau, or one tau and muon or high missing transverse momentum.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This MINIAOD dataset was processed from the RAW dataset by the following steps:
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016H-Tau-UL2016_MiniAODv2
Output dataset: /Tau/Run2016H-UL2016_MiniAODv2-v1/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016H_Tau
Output dataset: /Tau/Run2016H-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DoubleMediumCombinedIsoPFTau35_Trk1_eta2p1_Reg
HLT_DoubleMediumCombinedIsoPFTau40_Trk1_eta2p1_Reg
HLT_DoubleMediumCombinedIsoPFTau40_Trk1_eta2p1
HLT_DoubleMediumIsoPFTau32_Trk1_eta2p1_Reg
HLT_DoubleMediumIsoPFTau35_Trk1_eta2p1_Reg
HLT_DoubleMediumIsoPFTau40_Trk1_eta2p1_Reg
HLT_DoubleTightCombinedIsoPFTau35_Trk1_eta2p1_Reg
HLT_DoubleTightCombinedIsoPFTau40_Trk1_eta2p1_Reg
HLT_DoubleTightCombinedIsoPFTau40_Trk1_eta2p1
HLT_IsoMu19_eta2p1_LooseCombinedIsoPFTau20
HLT_IsoMu19_eta2p1_MediumCombinedIsoPFTau32_Trk1_eta2p1_Reg
HLT_IsoMu19_eta2p1_TightCombinedIsoPFTau32_Trk1_eta2p1_Reg
HLT_IsoMu21_eta2p1_MediumCombinedIsoPFTau32_Trk1_eta2p1_Reg
HLT_IsoMu21_eta2p1_TightCombinedIsoPFTau32_Trk1_eta2p1_Reg
HLT_LooseIsoPFTau50_Trk30_eta2p1_MET110
HLT_LooseIsoPFTau50_Trk30_eta2p1_MET120
HLT_LooseIsoPFTau50_Trk30_eta2p1_MET80
HLT_LooseIsoPFTau50_Trk30_eta2p1_MET90
HLT_LooseIsoPFTau50_Trk30_eta2p1
HLT_PFTau120_eta2p1
HLT_PFTau140_eta2p1
HLT_VLooseIsoPFTau120_Trk50_eta2p1
HLT_VLooseIsoPFTau140_Trk50_eta2p1
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / PAT
This primary MINIAOD dataset was processed from the RAW dataset by the following step:
Step: PAT
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016H-ZeroBias-UL2016_MiniAODv2\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_Random
This primary dataset is an unbiased sample of all collisions.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This MINIAOD dataset was processed from the RAW dataset by the following steps:
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016H-ZeroBias-UL2016_MiniAODv2
Output dataset: /ZeroBias/Run2016H-UL2016_MiniAODv2-v1/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016H_ZeroBias
Output dataset: /ZeroBias/Run2016H-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_Random
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / NANO
This primary NANOAOD dataset was processed from the MINIAOD dataset by the following step:
Step: NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016H-BTagCSV-UL2016_MiniAODv2_NanoAODv9\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DoubleJet90_Double30_DoubleBTagCSV_p087
HLT_DoubleJet90_Double30_TripleBTagCSV_p087
HLT_DoubleJetsC100_DoubleBTagCSV_p014_DoublePFJetsC100MaxDeta1p6
HLT_DoubleJetsC100_DoubleBTagCSV_p026_DoublePFJetsC160
HLT_DoubleJetsC100_SingleBTagCSV_p014_SinglePFJetC350
HLT_DoubleJetsC100_SingleBTagCSV_p014
HLT_DoubleJetsC100_SingleBTagCSV_p026_SinglePFJetC350
HLT_DoubleJetsC100_SingleBTagCSV_p026
HLT_DoubleJetsC112_DoubleBTagCSV_p014_DoublePFJetsC112MaxDeta1p6
HLT_DoubleJetsC112_DoubleBTagCSV_p026_DoublePFJetsC172
HLT_QuadJet45_DoubleBTagCSV_p087
HLT_QuadJet45_TripleBTagCSV_p087
HLT_QuadPFJet_BTagCSV_p016_VBF_Mqq460
HLT_QuadPFJet_BTagCSV_p016_VBF_Mqq500
HLT_QuadPFJet_BTagCSV_p016_p11_VBF_Mqq200
HLT_QuadPFJet_BTagCSV_p016_p11_VBF_Mqq240
HLT_Rsq0p02_MR300_TriPFJet80_60_40_BTagCSV_p063_p20_Mbb60_200
HLT_Rsq0p02_MR300_TriPFJet80_60_40_DoubleBTagCSV_p063_Mbb60_200
HLT_Rsq0p02_MR400_TriPFJet80_60_40_DoubleBTagCSV_p063_Mbb60_200
HLT_Rsq0p02_MR450_TriPFJet80_60_40_DoubleBTagCSV_p063_Mbb60_200
HLT_Rsq0p02_MR500_TriPFJet80_60_40_DoubleBTagCSV_p063_Mbb60_200
HLT_Rsq0p02_MR550_TriPFJet80_60_40_DoubleBTagCSV_p063_Mbb60_200
Events stored in this primary dataset were selected because of the presence of at least two jets, tagged as b-quark jets with combined secondary vertex.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This NANOAOD dataset was processed from the RAW dataset by the following steps:
Step NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016H-BTagCSV-UL2016_MiniAODv2_NanoAODv9
Output dataset: /BTagCSV/Run2016H-UL2016_MiniAODv2_NanoAODv9-v1/NANOAOD\n
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016H-BTagCSV-UL2016_MiniAODv2
Output dataset: /BTagCSV/Run2016H-UL2016_MiniAODv2-v2/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016H_BTagCSV
Output dataset: /BTagCSV/Run2016H-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DoubleJet90_Double30_DoubleBTagCSV_p087
HLT_DoubleJet90_Double30_TripleBTagCSV_p087
HLT_DoubleJetsC100_DoubleBTagCSV_p014_DoublePFJetsC100MaxDeta1p6
HLT_DoubleJetsC100_DoubleBTagCSV_p026_DoublePFJetsC160
HLT_DoubleJetsC100_SingleBTagCSV_p014_SinglePFJetC350
HLT_DoubleJetsC100_SingleBTagCSV_p014
HLT_DoubleJetsC100_SingleBTagCSV_p026_SinglePFJetC350
HLT_DoubleJetsC100_SingleBTagCSV_p026
HLT_DoubleJetsC112_DoubleBTagCSV_p014_DoublePFJetsC112MaxDeta1p6
HLT_DoubleJetsC112_DoubleBTagCSV_p026_DoublePFJetsC172
HLT_QuadJet45_DoubleBTagCSV_p087
HLT_QuadJet45_TripleBTagCSV_p087
HLT_QuadPFJet_BTagCSV_p016_VBF_Mqq460
HLT_QuadPFJet_BTagCSV_p016_VBF_Mqq500
HLT_QuadPFJet_BTagCSV_p016_p11_VBF_Mqq200
HLT_QuadPFJet_BTagCSV_p016_p11_VBF_Mqq240
HLT_Rsq0p02_MR300_TriPFJet80_60_40_BTagCSV_p063_p20_Mbb60_200
HLT_Rsq0p02_MR300_TriPFJet80_60_40_DoubleBTagCSV_p063_Mbb60_200
HLT_Rsq0p02_MR400_TriPFJet80_60_40_DoubleBTagCSV_p063_Mbb60_200
HLT_Rsq0p02_MR450_TriPFJet80_60_40_DoubleBTagCSV_p063_Mbb60_200
HLT_Rsq0p02_MR500_TriPFJet80_60_40_DoubleBTagCSV_p063_Mbb60_200
HLT_Rsq0p02_MR550_TriPFJet80_60_40_DoubleBTagCSV_p063_Mbb60_200
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / NANO
This primary NANOAOD dataset was processed from the MINIAOD dataset by the following step:
Step: NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016H-BTagMu-UL2016_MiniAODv2_NanoAODv9\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_BTagMu_AK8Jet300_Mu5
HLT_BTagMu_DiJet110_Mu5
HLT_BTagMu_DiJet170_Mu5
HLT_BTagMu_DiJet20_Mu5
HLT_BTagMu_DiJet40_Mu5
HLT_BTagMu_DiJet70_Mu5
HLT_BTagMu_Jet300_Mu5
Events stored in this primary dataset were selected because of the presence of a muon from the b-quark decay, and one or more jets.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This NANOAOD dataset was processed from the RAW dataset by the following steps:
Step NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016H-BTagMu-UL2016_MiniAODv2_NanoAODv9
Output dataset: /BTagMu/Run2016H-UL2016_MiniAODv2_NanoAODv9-v1/NANOAOD\n
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016H-BTagMu-UL2016_MiniAODv2
Output dataset: /BTagMu/Run2016H-UL2016_MiniAODv2-v1/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016H_BTagMu
Output dataset: /BTagMu/Run2016H-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_BTagMu_AK8Jet300_Mu5
HLT_BTagMu_DiJet110_Mu5
HLT_BTagMu_DiJet170_Mu5
HLT_BTagMu_DiJet20_Mu5
HLT_BTagMu_DiJet40_Mu5
HLT_BTagMu_DiJet70_Mu5
HLT_BTagMu_Jet300_Mu5
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / NANO
This primary NANOAOD dataset was processed from the MINIAOD dataset by the following step:
Step: NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016H-Charmonium-UL2016_MiniAODv2_NanoAODv9\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_Dimuon0_Jpsi_Muon
HLT_Dimuon0er16_Jpsi_NoOS_NoVertexing
HLT_Dimuon0er16_Jpsi_NoVertexing
HLT_Dimuon10_Jpsi_Barrel
HLT_Dimuon13_PsiPrime
HLT_Dimuon16_Jpsi
HLT_Dimuon20_Jpsi
HLT_Dimuon6_Jpsi_NoVertexing
HLT_Dimuon8_PsiPrime_Barrel
HLT_DoubleMu4_3_Bs
HLT_DoubleMu4_3_Jpsi_Displaced
HLT_DoubleMu4_JpsiTrk_Displaced
HLT_DoubleMu4_PsiPrimeTrk_Displaced
HLT_Mu7p5_L2Mu2_Jpsi
HLT_Mu7p5_Track2_Jpsi
HLT_Mu7p5_Track3p5_Jpsi
HLT_Mu7p5_Track7_Jpsi
HLT_QuadMuon0_Dimuon0_Jpsi
Events stored in this primary dataset were selected because of the presence of at least two muons, or a muon and a track with some requirements in the invariant mass for selecting low-mass resonances.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This NANOAOD dataset was processed from the RAW dataset by the following steps:
Step NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016H-Charmonium-UL2016_MiniAODv2_NanoAODv9
Output dataset: /Charmonium/Run2016H-UL2016_MiniAODv2_NanoAODv9-v1/NANOAOD\n
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016H-Charmonium-UL2016_MiniAODv2
Output dataset: /Charmonium/Run2016H-UL2016_MiniAODv2-v2/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016H_Charmonium
Output dataset: /Charmonium/Run2016H-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_Dimuon0_Jpsi_Muon
HLT_Dimuon0er16_Jpsi_NoOS_NoVertexing
HLT_Dimuon0er16_Jpsi_NoVertexing
HLT_Dimuon10_Jpsi_Barrel
HLT_Dimuon13_PsiPrime
HLT_Dimuon16_Jpsi
HLT_Dimuon20_Jpsi
HLT_Dimuon6_Jpsi_NoVertexing
HLT_Dimuon8_PsiPrime_Barrel
HLT_DoubleMu4_3_Bs
HLT_DoubleMu4_3_Jpsi_Displaced
HLT_DoubleMu4_JpsiTrk_Displaced
HLT_DoubleMu4_PsiPrimeTrk_Displaced
HLT_Mu7p5_L2Mu2_Jpsi
HLT_Mu7p5_Track2_Jpsi
HLT_Mu7p5_Track3p5_Jpsi
HLT_Mu7p5_Track7_Jpsi
HLT_QuadMuon0_Dimuon0_Jpsi
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / NANO
This primary NANOAOD dataset was processed from the MINIAOD dataset by the following step:
Step: NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016H-DisplacedJet-UL2016_MiniAODv2_NanoAODv9\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_HT200_DisplacedDijet40_DisplacedTrack
HLT_HT200
HLT_HT250_DisplacedDijet40_DisplacedTrack
HLT_HT275
HLT_HT325
HLT_HT350_DisplacedDijet40_DisplacedTrack
HLT_HT350_DisplacedDijet40_Inclusive
HLT_HT350_DisplacedDijet80_DisplacedTrack
HLT_HT350_DisplacedDijet80_Tight_DisplacedTrack
HLT_HT400_DisplacedDijet40_Inclusive
HLT_HT425
HLT_HT500_DisplacedDijet40_Inclusive
HLT_HT550_DisplacedDijet40_Inclusive
HLT_HT550_DisplacedDijet80_Inclusive
HLT_HT575
HLT_HT650_DisplacedDijet80_Inclusive
HLT_HT750_DisplacedDijet80_Inclusive
HLT_VBF_DisplacedJet40_DisplacedTrack_2TrackIP2DSig5
HLT_VBF_DisplacedJet40_DisplacedTrack
HLT_VBF_DisplacedJet40_Hadronic_2PromptTrack
HLT_VBF_DisplacedJet40_Hadronic
HLT_VBF_DisplacedJet40_TightID_DisplacedTrack
HLT_VBF_DisplacedJet40_TightID_Hadronic
HLT_VBF_DisplacedJet40_VTightID_DisplacedTrack
HLT_VBF_DisplacedJet40_VTightID_Hadronic
HLT_VBF_DisplacedJet40_VVTightID_DisplacedTrack
HLT_VBF_DisplacedJet40_VVTightID_Hadronic
Events stored in this primary dataset were selected because of the presence of one or more displaced jets, or a displaced jet and/or high scalar sum of the jet transverse momenta (HT).
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This NANOAOD dataset was processed from the RAW dataset by the following steps:
Step NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016H-DisplacedJet-UL2016_MiniAODv2_NanoAODv9
Output dataset: /DisplacedJet/Run2016H-UL2016_MiniAODv2_NanoAODv9-v1/NANOAOD\n
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016H-DisplacedJet-UL2016_MiniAODv2
Output dataset: /DisplacedJet/Run2016H-UL2016_MiniAODv2-v1/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016H_DisplacedJet
Output dataset: /DisplacedJet/Run2016H-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_HT200_DisplacedDijet40_DisplacedTrack
HLT_HT200
HLT_HT250_DisplacedDijet40_DisplacedTrack
HLT_HT275
HLT_HT325
HLT_HT350_DisplacedDijet40_DisplacedTrack
HLT_HT350_DisplacedDijet40_Inclusive
HLT_HT350_DisplacedDijet80_DisplacedTrack
HLT_HT350_DisplacedDijet80_Tight_DisplacedTrack
HLT_HT400_DisplacedDijet40_Inclusive
HLT_HT425
HLT_HT500_DisplacedDijet40_Inclusive
HLT_HT550_DisplacedDijet40_Inclusive
HLT_HT550_DisplacedDijet80_Inclusive
HLT_HT575
HLT_HT650_DisplacedDijet80_Inclusive
HLT_HT750_DisplacedDijet80_Inclusive
HLT_VBF_DisplacedJet40_DisplacedTrack_2TrackIP2DSig5
HLT_VBF_DisplacedJet40_DisplacedTrack
HLT_VBF_DisplacedJet40_Hadronic_2PromptTrack
HLT_VBF_DisplacedJet40_Hadronic
HLT_VBF_DisplacedJet40_TightID_DisplacedTrack
HLT_VBF_DisplacedJet40_TightID_Hadronic
HLT_VBF_DisplacedJet40_VTightID_DisplacedTrack
HLT_VBF_DisplacedJet40_VTightID_Hadronic
HLT_VBF_DisplacedJet40_VVTightID_DisplacedTrack
HLT_VBF_DisplacedJet40_VVTightID_Hadronic
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / NANO
This primary NANOAOD dataset was processed from the MINIAOD dataset by the following step:
Step: NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016H-DoubleEG-UL2016_MiniAODv2_NanoAODv9\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_Diphoton30EB_18EB_R9Id_OR_IsoCaloId_AND_HE_R9Id_DoublePixelVeto_Mass55
HLT_Diphoton30PV_18PV_R9Id_AND_IsoCaloId_AND_HE_R9Id_DoublePixelVeto_Mass55
HLT_Diphoton30_18_R9Id_OR_IsoCaloId_AND_HE_R9Id_DoublePixelSeedMatch_Mass70
HLT_Diphoton30_18_R9Id_OR_IsoCaloId_AND_HE_R9Id_Mass90
HLT_Diphoton30_18_Solid_R9Id_AND_IsoCaloId_AND_HE_R9Id_Mass55
HLT_DoubleEle24_22_eta2p1_WPLoose_Gsf
HLT_DoubleEle33_CaloIdL_GsfTrkIdVL_MW
HLT_DoubleEle33_CaloIdL_GsfTrkIdVL
HLT_DoubleEle33_CaloIdL_MW
HLT_DoubleEle33_CaloIdL
HLT_DoubleEle37_Ele27_CaloIdL_GsfTrkIdVL
HLT_DoubleEle8_CaloIdM_TrackIdM_Mass8_PFHT250
HLT_DoubleEle8_CaloIdM_TrackIdM_Mass8_PFHT300
HLT_DoublePhoton60
HLT_DoublePhoton85
HLT_ECALHT800
HLT_Ele10_CaloIdM_TrackIdM_CentralPFJet30_BTagCSV_p13
HLT_Ele12_CaloIdL_TrackIdL_IsoVL_PFJet30
HLT_Ele12_CaloIdL_TrackIdL_IsoVL
HLT_Ele12_CaloIdM_TrackIdM_PFJet30
HLT_Ele16_Ele12_Ele8_CaloIdL_TrackIdL
HLT_Ele17_CaloIdL_GsfTrkIdVL
HLT_Ele17_CaloIdL_TrackIdL_IsoVL_PFJet30
HLT_Ele17_CaloIdL_TrackIdL_IsoVL
HLT_Ele17_CaloIdM_TrackIdM_PFJet30
HLT_Ele17_Ele12_CaloIdL_TrackIdL_IsoVL_DZ
HLT_Ele17_Ele12_CaloIdL_TrackIdL_IsoVL
HLT_Ele23_CaloIdL_TrackIdL_IsoVL_PFJet30
HLT_Ele23_CaloIdL_TrackIdL_IsoVL
HLT_Ele23_CaloIdM_TrackIdM_PFJet30
HLT_Ele23_Ele12_CaloIdL_TrackIdL_IsoVL_DZ_L1JetTauSeeded
HLT_Ele23_Ele12_CaloIdL_TrackIdL_IsoVL_DZ
HLT_Ele23_Ele12_CaloIdL_TrackIdL_IsoVL
HLT_Ele27_HighEta_Ele20_Mass55
HLT_Ele30WP60_Ele8_Mass55
HLT_Ele30WP60_SC4_Mass55
HLT_Ele8_CaloIdL_TrackIdL_IsoVL_PFJet30
HLT_Ele8_CaloIdM_TrackIdM_PFJet30
HLT_Photon26_R9Id85_OR_CaloId24b40e_Iso50T80L_Photon16_AND_HE10_R9Id65_Eta2_Mass60
HLT_Photon36_R9Id85_OR_CaloId24b40e_Iso50T80L_Photon22_AND_HE10_R9Id65_Eta2_Mass15
HLT_Photon42_R9Id85_OR_CaloId24b40e_Iso50T80L_Photon25_AND_HE10_R9Id65_Eta2_Mass15
Events stored in this primary dataset were selected because of the presence of different combinations of energetic photons, electrons and/or jets.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This NANOAOD dataset was processed from the RAW dataset by the following steps:
Step NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016H-DoubleEG-UL2016_MiniAODv2_NanoAODv9
Output dataset: /DoubleEG/Run2016H-UL2016_MiniAODv2_NanoAODv9-v1/NANOAOD\n
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016H-DoubleEG-UL2016_MiniAODv2
Output dataset: /DoubleEG/Run2016H-UL2016_MiniAODv2-v1/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016H_DoubleEG
Output dataset: /DoubleEG/Run2016H-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_Diphoton30EB_18EB_R9Id_OR_IsoCaloId_AND_HE_R9Id_DoublePixelVeto_Mass55
HLT_Diphoton30PV_18PV_R9Id_AND_IsoCaloId_AND_HE_R9Id_DoublePixelVeto_Mass55
HLT_Diphoton30_18_R9Id_OR_IsoCaloId_AND_HE_R9Id_DoublePixelSeedMatch_Mass70
HLT_Diphoton30_18_R9Id_OR_IsoCaloId_AND_HE_R9Id_Mass90
HLT_Diphoton30_18_Solid_R9Id_AND_IsoCaloId_AND_HE_R9Id_Mass55
HLT_DoubleEle24_22_eta2p1_WPLoose_Gsf
HLT_DoubleEle33_CaloIdL_GsfTrkIdVL_MW
HLT_DoubleEle33_CaloIdL_GsfTrkIdVL
HLT_DoubleEle33_CaloIdL_MW
HLT_DoubleEle33_CaloIdL
HLT_DoubleEle37_Ele27_CaloIdL_GsfTrkIdVL
HLT_DoubleEle8_CaloIdM_TrackIdM_Mass8_PFHT250
HLT_DoubleEle8_CaloIdM_TrackIdM_Mass8_PFHT300
HLT_DoublePhoton60
HLT_DoublePhoton85
HLT_ECALHT800
HLT_Ele10_CaloIdM_TrackIdM_CentralPFJet30_BTagCSV_p13
HLT_Ele12_CaloIdL_TrackIdL_IsoVL_PFJet30
HLT_Ele12_CaloIdL_TrackIdL_IsoVL
HLT_Ele12_CaloIdM_TrackIdM_PFJet30
HLT_Ele16_Ele12_Ele8_CaloIdL_TrackIdL
HLT_Ele17_CaloIdL_GsfTrkIdVL
HLT_Ele17_CaloIdL_TrackIdL_IsoVL_PFJet30
HLT_Ele17_CaloIdL_TrackIdL_IsoVL
HLT_Ele17_CaloIdM_TrackIdM_PFJet30
HLT_Ele17_Ele12_CaloIdL_TrackIdL_IsoVL_DZ
HLT_Ele17_Ele12_CaloIdL_TrackIdL_IsoVL
HLT_Ele23_CaloIdL_TrackIdL_IsoVL_PFJet30
HLT_Ele23_CaloIdL_TrackIdL_IsoVL
HLT_Ele23_CaloIdM_TrackIdM_PFJet30
HLT_Ele23_Ele12_CaloIdL_TrackIdL_IsoVL_DZ_L1JetTauSeeded
HLT_Ele23_Ele12_CaloIdL_TrackIdL_IsoVL_DZ
HLT_Ele23_Ele12_CaloIdL_TrackIdL_IsoVL
HLT_Ele27_HighEta_Ele20_Mass55
HLT_Ele30WP60_Ele8_Mass55
HLT_Ele30WP60_SC4_Mass55
HLT_Ele8_CaloIdL_TrackIdL_IsoVL_PFJet30
HLT_Ele8_CaloIdM_TrackIdM_PFJet30
HLT_Photon26_R9Id85_OR_CaloId24b40e_Iso50T80L_Photon16_AND_HE10_R9Id65_Eta2_Mass60
HLT_Photon36_R9Id85_OR_CaloId24b40e_Iso50T80L_Photon22_AND_HE10_R9Id65_Eta2_Mass15
HLT_Photon42_R9Id85_OR_CaloId24b40e_Iso50T80L_Photon25_AND_HE10_R9Id65_Eta2_Mass15
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / NANO
This primary NANOAOD dataset was processed from the MINIAOD dataset by the following step:
Step: NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016H-DoubleMuon-UL2016_MiniAODv2_NanoAODv9\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DoubleMu0
HLT_DoubleMu18NoFiltersNoVtx
HLT_DoubleMu23NoFiltersNoVtxDisplaced
HLT_DoubleMu28NoFiltersNoVtxDisplaced
HLT_DoubleMu33NoFiltersNoVtx
HLT_DoubleMu38NoFiltersNoVtx
HLT_DoubleMu8_Mass8_PFHT250
HLT_DoubleMu8_Mass8_PFHT300
HLT_L2DoubleMu23_NoVertex
HLT_L2DoubleMu28_NoVertex_2Cha_Angle2p5_Mass10
HLT_L2DoubleMu38_NoVertex_2Cha_Angle2p5_Mass10
HLT_Mu10_CentralPFJet30_BTagCSV_p13
HLT_Mu17_Mu8_DZ
HLT_Mu17_Mu8_SameSign_DZ
HLT_Mu17_Mu8_SameSign
HLT_Mu17_Mu8
HLT_Mu17_TkMu8_DZ
HLT_Mu17_TrkIsoVVL_Mu8_TrkIsoVVL_DZ
HLT_Mu17_TrkIsoVVL_Mu8_TrkIsoVVL
HLT_Mu17_TrkIsoVVL_TkMu8_TrkIsoVVL_DZ
HLT_Mu17_TrkIsoVVL_TkMu8_TrkIsoVVL
HLT_Mu17_TrkIsoVVL
HLT_Mu17
HLT_Mu20_Mu10_DZ
HLT_Mu20_Mu10_SameSign_DZ
HLT_Mu20_Mu10_SameSign
HLT_Mu20_Mu10
HLT_Mu27_TkMu8
HLT_Mu30_TkMu11
HLT_Mu3_PFJet40
HLT_Mu40_TkMu11
HLT_Mu8_TrkIsoVVL
HLT_Mu8
HLT_TkMu17_TrkIsoVVL_TkMu8_TrkIsoVVL_DZ
HLT_TkMu17_TrkIsoVVL_TkMu8_TrkIsoVVL
HLT_TripleMu_12_10_5
HLT_TripleMu_5_3_3_DZ_Mass3p8
HLT_TripleMu_5_3_3
HLT_TrkMu15_DoubleTrkMu5NoFiltersNoVtx
HLT_TrkMu17_DoubleTrkMu8NoFiltersNoVtx
Events stored in this primary dataset were selected because of the presence of at least two energetic muons in the event.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This NANOAOD dataset was processed from the RAW dataset by the following steps:
Step NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016H-DoubleMuon-UL2016_MiniAODv2_NanoAODv9
Output dataset: /DoubleMuon/Run2016H-UL2016_MiniAODv2_NanoAODv9-v1/NANOAOD\n
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016H-DoubleMuon-UL2016_MiniAODv2
Output dataset: /DoubleMuon/Run2016H-UL2016_MiniAODv2-v2/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016H_DoubleMuon
Output dataset: /DoubleMuon/Run2016H-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DoubleMu0
HLT_DoubleMu18NoFiltersNoVtx
HLT_DoubleMu23NoFiltersNoVtxDisplaced
HLT_DoubleMu28NoFiltersNoVtxDisplaced
HLT_DoubleMu33NoFiltersNoVtx
HLT_DoubleMu38NoFiltersNoVtx
HLT_DoubleMu8_Mass8_PFHT250
HLT_DoubleMu8_Mass8_PFHT300
HLT_L2DoubleMu23_NoVertex
HLT_L2DoubleMu28_NoVertex_2Cha_Angle2p5_Mass10
HLT_L2DoubleMu38_NoVertex_2Cha_Angle2p5_Mass10
HLT_Mu10_CentralPFJet30_BTagCSV_p13
HLT_Mu17_Mu8_DZ
HLT_Mu17_Mu8_SameSign_DZ
HLT_Mu17_Mu8_SameSign
HLT_Mu17_Mu8
HLT_Mu17_TkMu8_DZ
HLT_Mu17_TrkIsoVVL_Mu8_TrkIsoVVL_DZ
HLT_Mu17_TrkIsoVVL_Mu8_TrkIsoVVL
HLT_Mu17_TrkIsoVVL_TkMu8_TrkIsoVVL_DZ
HLT_Mu17_TrkIsoVVL_TkMu8_TrkIsoVVL
HLT_Mu17_TrkIsoVVL
HLT_Mu17
HLT_Mu20_Mu10_DZ
HLT_Mu20_Mu10_SameSign_DZ
HLT_Mu20_Mu10_SameSign
HLT_Mu20_Mu10
HLT_Mu27_TkMu8
HLT_Mu30_TkMu11
HLT_Mu3_PFJet40
HLT_Mu40_TkMu11
HLT_Mu8_TrkIsoVVL
HLT_Mu8
HLT_TkMu17_TrkIsoVVL_TkMu8_TrkIsoVVL_DZ
HLT_TkMu17_TrkIsoVVL_TkMu8_TrkIsoVVL
HLT_TripleMu_12_10_5
HLT_TripleMu_5_3_3_DZ_Mass3p8
HLT_TripleMu_5_3_3
HLT_TrkMu15_DoubleTrkMu5NoFiltersNoVtx
HLT_TrkMu17_DoubleTrkMu8NoFiltersNoVtx
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / NANO
This primary NANOAOD dataset was processed from the MINIAOD dataset by the following step:
Step: NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016H-DoubleMuonLowMass-UL2016_MiniAODv2_NanoAODv9\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DoubleMu3_Trk_Tau3mu
HLT_DoubleMu4_LowMassNonResonantTrk_Displaced
Events stored in this primary dataset were selected because of the presence of at least two muons with low invariant mass.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This NANOAOD dataset was processed from the RAW dataset by the following steps:
Step NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016H-DoubleMuonLowMass-UL2016_MiniAODv2_NanoAODv9
Output dataset: /DoubleMuonLowMass/Run2016H-UL2016_MiniAODv2_NanoAODv9-v1/NANOAOD\n
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016H-DoubleMuonLowMass-UL2016_MiniAODv2
Output dataset: /DoubleMuonLowMass/Run2016H-UL2016_MiniAODv2-v1/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step ReReco-Run2016H-DoubleMuonLowMass-21Feb2020_UL2016
Output dataset: /DoubleMuonLowMass/Run2016H-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DoubleMu3_Trk_Tau3mu
HLT_DoubleMu4_LowMassNonResonantTrk_Displaced
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / NANO
This primary NANOAOD dataset was processed from the MINIAOD dataset by the following step:
Step: NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016H-HTMHT-UL2016_MiniAODv2_NanoAODv9\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DiPFJet40_DEta3p5_MJJ600_PFMETNoMu140
HLT_DiPFJet40_DEta3p5_MJJ600_PFMETNoMu80
HLT_PFHT200_DiPFJetAve90_PFAlphaT0p57
HLT_PFHT200_DiPFJetAve90_PFAlphaT0p63
HLT_PFHT200_PFAlphaT0p51
HLT_PFHT250_DiPFJetAve90_PFAlphaT0p55
HLT_PFHT250_DiPFJetAve90_PFAlphaT0p58
HLT_PFHT300_DiPFJetAve90_PFAlphaT0p53
HLT_PFHT300_DiPFJetAve90_PFAlphaT0p54
HLT_PFHT300_PFMET100
HLT_PFHT300_PFMET110
HLT_PFHT350_DiPFJetAve90_PFAlphaT0p52
HLT_PFHT350_DiPFJetAve90_PFAlphaT0p53
HLT_PFHT400_DiPFJetAve90_PFAlphaT0p51
HLT_PFHT400_DiPFJetAve90_PFAlphaT0p52
HLT_Rsq0p25
HLT_Rsq0p30
HLT_RsqMR240_Rsq0p09_MR200_4jet
HLT_RsqMR240_Rsq0p09_MR200
HLT_RsqMR270_Rsq0p09_MR200_4jet
HLT_RsqMR270_Rsq0p09_MR200
Events stored in this primary dataset were selected because of the presence of a combination of a high scalar sum of the jet transverse momenta (HT), one or more energetic jets, or high missing transverse energy.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This NANOAOD dataset was processed from the RAW dataset by the following steps:
Step NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016H-HTMHT-UL2016_MiniAODv2_NanoAODv9
Output dataset: /HTMHT/Run2016H-UL2016_MiniAODv2_NanoAODv9-v1/NANOAOD\n
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016H-HTMHT-UL2016_MiniAODv2
Output dataset: /HTMHT/Run2016H-UL2016_MiniAODv2-v1/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016H_HTMHT
Output dataset: /HTMHT/Run2016H-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DiPFJet40_DEta3p5_MJJ600_PFMETNoMu140
HLT_DiPFJet40_DEta3p5_MJJ600_PFMETNoMu80
HLT_PFHT200_DiPFJetAve90_PFAlphaT0p57
HLT_PFHT200_DiPFJetAve90_PFAlphaT0p63
HLT_PFHT200_PFAlphaT0p51
HLT_PFHT250_DiPFJetAve90_PFAlphaT0p55
HLT_PFHT250_DiPFJetAve90_PFAlphaT0p58
HLT_PFHT300_DiPFJetAve90_PFAlphaT0p53
HLT_PFHT300_DiPFJetAve90_PFAlphaT0p54
HLT_PFHT300_PFMET100
HLT_PFHT300_PFMET110
HLT_PFHT350_DiPFJetAve90_PFAlphaT0p52
HLT_PFHT350_DiPFJetAve90_PFAlphaT0p53
HLT_PFHT400_DiPFJetAve90_PFAlphaT0p51
HLT_PFHT400_DiPFJetAve90_PFAlphaT0p52
HLT_Rsq0p25
HLT_Rsq0p30
HLT_RsqMR240_Rsq0p09_MR200_4jet
HLT_RsqMR240_Rsq0p09_MR200
HLT_RsqMR270_Rsq0p09_MR200_4jet
HLT_RsqMR270_Rsq0p09_MR200
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / NANO
This primary NANOAOD dataset was processed from the MINIAOD dataset by the following step:
Step: NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016H-JetHT-UL2016_MiniAODv2_NanoAODv9\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_AK8DiPFJet250_200_TrimMass30_BTagCSV_p20
HLT_AK8DiPFJet250_200_TrimMass30
HLT_AK8DiPFJet280_200_TrimMass30_BTagCSV_p087
HLT_AK8DiPFJet280_200_TrimMass30_BTagCSV_p20
HLT_AK8DiPFJet280_200_TrimMass30
HLT_AK8DiPFJet300_200_TrimMass30_BTagCSV_p087
HLT_AK8DiPFJet300_200_TrimMass30_BTagCSV_p20
HLT_AK8DiPFJet300_200_TrimMass30
HLT_AK8PFHT600_TrimR0p1PT0p03Mass50_BTagCSV_p20
HLT_AK8PFHT650_TrimR0p1PT0p03Mass50
HLT_AK8PFHT700_TrimR0p1PT0p03Mass50
HLT_AK8PFHT750_TrimMass50
HLT_AK8PFHT800_TrimMass50
HLT_AK8PFJet140
HLT_AK8PFJet200
HLT_AK8PFJet260
HLT_AK8PFJet320
HLT_AK8PFJet360_TrimMass30
HLT_AK8PFJet400_TrimMass30
HLT_AK8PFJet400
HLT_AK8PFJet40
HLT_AK8PFJet450
HLT_AK8PFJet500
HLT_AK8PFJet60
HLT_AK8PFJet80
HLT_CaloJet500_NoJetID
HLT_DiCentralPFJet170_CFMax0p1
HLT_DiCentralPFJet170
HLT_DiCentralPFJet220_CFMax0p3
HLT_DiCentralPFJet330_CFMax0p5
HLT_DiCentralPFJet430
HLT_DiJetVBFMu_PassThrough
HLT_DiJetVBF_PassThrough
HLT_DiPFJetAve100_HFJEC
HLT_DiPFJetAve140
HLT_DiPFJetAve160_HFJEC
HLT_DiPFJetAve200
HLT_DiPFJetAve220_HFJEC
HLT_DiPFJetAve260
HLT_DiPFJetAve300_HFJEC
HLT_DiPFJetAve320
HLT_DiPFJetAve400
HLT_DiPFJetAve40
HLT_DiPFJetAve500
HLT_DiPFJetAve60_HFJEC
HLT_DiPFJetAve60
HLT_DiPFJetAve80_HFJEC
HLT_DiPFJetAve80
HLT_HT2000
HLT_HT2500
HLT_L1_TripleJet_VBF
HLT_PFHT125
HLT_PFHT200
HLT_PFHT250
HLT_PFHT300
HLT_PFHT350
HLT_PFHT400_SixJet30_DoubleBTagCSV_p056
HLT_PFHT400_SixJet30
HLT_PFHT400
HLT_PFHT450_SixJet40_BTagCSV_p056
HLT_PFHT450_SixJet40
HLT_PFHT475
HLT_PFHT550_4JetPt50
HLT_PFHT600
HLT_PFHT650_4JetPt50
HLT_PFHT650_WideJetMJJ900DEtaJJ1p5
HLT_PFHT650_WideJetMJJ950DEtaJJ1p5
HLT_PFHT650
HLT_PFHT750_4JetPt50
HLT_PFHT750_4JetPt70
HLT_PFHT750_4JetPt80
HLT_PFHT800_4JetPt50
HLT_PFHT800
HLT_PFHT850_4JetPt50
HLT_PFHT900
HLT_PFJet140
HLT_PFJet200
HLT_PFJet260
HLT_PFJet320
HLT_PFJet400
HLT_PFJet40
HLT_PFJet450
HLT_PFJet500
HLT_PFJet60
HLT_PFJet80
HLT_QuadPFJet_VBF
HLT_SingleCentralPFJet170_CFMax0p1
Events stored in this primary dataset were selected because of the presence of a high scalar sum of the jet transverse momenta (HT), or at least one or two energetic jets.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This NANOAOD dataset was processed from the RAW dataset by the following steps:
Step NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016H-JetHT-UL2016_MiniAODv2_NanoAODv9
Output dataset: /JetHT/Run2016H-UL2016_MiniAODv2_NanoAODv9-v1/NANOAOD\n
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016H-JetHT-UL2016_MiniAODv2
Output dataset: /JetHT/Run2016H-UL2016_MiniAODv2-v2/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016H_JetHT
Output dataset: /JetHT/Run2016H-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_AK8DiPFJet250_200_TrimMass30_BTagCSV_p20
HLT_AK8DiPFJet250_200_TrimMass30
HLT_AK8DiPFJet280_200_TrimMass30_BTagCSV_p087
HLT_AK8DiPFJet280_200_TrimMass30_BTagCSV_p20
HLT_AK8DiPFJet280_200_TrimMass30
HLT_AK8DiPFJet300_200_TrimMass30_BTagCSV_p087
HLT_AK8DiPFJet300_200_TrimMass30_BTagCSV_p20
HLT_AK8DiPFJet300_200_TrimMass30
HLT_AK8PFHT600_TrimR0p1PT0p03Mass50_BTagCSV_p20
HLT_AK8PFHT650_TrimR0p1PT0p03Mass50
HLT_AK8PFHT700_TrimR0p1PT0p03Mass50
HLT_AK8PFHT750_TrimMass50
HLT_AK8PFHT800_TrimMass50
HLT_AK8PFJet140
HLT_AK8PFJet200
HLT_AK8PFJet260
HLT_AK8PFJet320
HLT_AK8PFJet360_TrimMass30
HLT_AK8PFJet400_TrimMass30
HLT_AK8PFJet400
HLT_AK8PFJet40
HLT_AK8PFJet450
HLT_AK8PFJet500
HLT_AK8PFJet60
HLT_AK8PFJet80
HLT_CaloJet500_NoJetID
HLT_DiCentralPFJet170_CFMax0p1
HLT_DiCentralPFJet170
HLT_DiCentralPFJet220_CFMax0p3
HLT_DiCentralPFJet330_CFMax0p5
HLT_DiCentralPFJet430
HLT_DiJetVBFMu_PassThrough
HLT_DiJetVBF_PassThrough
HLT_DiPFJetAve100_HFJEC
HLT_DiPFJetAve140
HLT_DiPFJetAve160_HFJEC
HLT_DiPFJetAve200
HLT_DiPFJetAve220_HFJEC
HLT_DiPFJetAve260
HLT_DiPFJetAve300_HFJEC
HLT_DiPFJetAve320
HLT_DiPFJetAve400
HLT_DiPFJetAve40
HLT_DiPFJetAve500
HLT_DiPFJetAve60_HFJEC
HLT_DiPFJetAve60
HLT_DiPFJetAve80_HFJEC
HLT_DiPFJetAve80
HLT_HT2000
HLT_HT2500
HLT_L1_TripleJet_VBF
HLT_PFHT125
HLT_PFHT200
HLT_PFHT250
HLT_PFHT300
HLT_PFHT350
HLT_PFHT400_SixJet30_DoubleBTagCSV_p056
HLT_PFHT400_SixJet30
HLT_PFHT400
HLT_PFHT450_SixJet40_BTagCSV_p056
HLT_PFHT450_SixJet40
HLT_PFHT475
HLT_PFHT550_4JetPt50
HLT_PFHT600
HLT_PFHT650_4JetPt50
HLT_PFHT650_WideJetMJJ900DEtaJJ1p5
HLT_PFHT650_WideJetMJJ950DEtaJJ1p5
HLT_PFHT650
HLT_PFHT750_4JetPt50
HLT_PFHT750_4JetPt70
HLT_PFHT750_4JetPt80
HLT_PFHT800_4JetPt50
HLT_PFHT800
HLT_PFHT850_4JetPt50
HLT_PFHT900
HLT_PFJet140
HLT_PFJet200
HLT_PFJet260
HLT_PFJet320
HLT_PFJet400
HLT_PFJet40
HLT_PFJet450
HLT_PFJet500
HLT_PFJet60
HLT_PFJet80
HLT_QuadPFJet_VBF
HLT_SingleCentralPFJet170_CFMax0p1
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / NANO
This primary NANOAOD dataset was processed from the MINIAOD dataset by the following step:
Step: NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016H-MET-UL2016_MiniAODv2_NanoAODv9\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_CaloMHTNoPU90_PFMET90_PFMHT90_IDTight_BTagCSV_p067
HLT_CaloMHTNoPU90_PFMET90_PFMHT90_IDTight
HLT_DiCentralPFJet55_PFMET110
HLT_DoubleMu3_PFMET50
HLT_MET200
HLT_MET250
HLT_MET300
HLT_MET600
HLT_MET60_IsoTrk35_Loose
HLT_MET700
HLT_MET75_IsoTrk50
HLT_MET90_IsoTrk50
HLT_MonoCentralPFJet80_PFMETNoMu100_PFMHTNoMu100_IDTight
HLT_MonoCentralPFJet80_PFMETNoMu110_PFMHTNoMu110_IDTight
HLT_MonoCentralPFJet80_PFMETNoMu120_PFMHTNoMu120_IDTight
HLT_MonoCentralPFJet80_PFMETNoMu90_PFMHTNoMu90_IDTight
HLT_Mu14er_PFMET100
HLT_Mu3er_PFHT140_PFMET125
HLT_Mu6_PFHT200_PFMET100
HLT_Mu6_PFHT200_PFMET80_BTagCSV_p067
HLT_PFMET100_PFMHT100_IDTight_BeamHaloCleaned
HLT_PFMET100_PFMHT100_IDTight
HLT_PFMET110_PFMHT110_IDTight
HLT_PFMET120_BTagCSV_p067
HLT_PFMET120_Mu5
HLT_PFMET120_PFMHT120_IDTight
HLT_PFMET170_BeamHaloCleaned
HLT_PFMET170_HBHECleaned
HLT_PFMET170_HBHE_BeamHaloCleaned
HLT_PFMET170_JetIdCleaned
HLT_PFMET170_NoiseCleaned
HLT_PFMET170_NotCleaned
HLT_PFMET300
HLT_PFMET400
HLT_PFMET500
HLT_PFMET600
HLT_PFMET90_PFMHT90_IDTight
HLT_PFMETNoMu100_PFMHTNoMu100_IDTight
HLT_PFMETNoMu110_PFMHTNoMu110_IDTight
HLT_PFMETNoMu120_PFMHTNoMu120_IDTight
HLT_PFMETNoMu90_PFMHTNoMu90_IDTight
HLT_PFMETTypeOne190_HBHE_BeamHaloCleaned
Events stored in this primary dataset were selected because of the presence of high missing transverse energy.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This NANOAOD dataset was processed from the RAW dataset by the following steps:
Step NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016H-MET-UL2016_MiniAODv2_NanoAODv9
Output dataset: /MET/Run2016H-UL2016_MiniAODv2_NanoAODv9-v1/NANOAOD\n
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016H-MET-UL2016_MiniAODv2
Output dataset: /MET/Run2016H-UL2016_MiniAODv2-v2/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016H_MET
Output dataset: /MET/Run2016H-21Feb2020_UL2016-v2/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_CaloMHTNoPU90_PFMET90_PFMHT90_IDTight_BTagCSV_p067
HLT_CaloMHTNoPU90_PFMET90_PFMHT90_IDTight
HLT_DiCentralPFJet55_PFMET110
HLT_DoubleMu3_PFMET50
HLT_MET200
HLT_MET250
HLT_MET300
HLT_MET600
HLT_MET60_IsoTrk35_Loose
HLT_MET700
HLT_MET75_IsoTrk50
HLT_MET90_IsoTrk50
HLT_MonoCentralPFJet80_PFMETNoMu100_PFMHTNoMu100_IDTight
HLT_MonoCentralPFJet80_PFMETNoMu110_PFMHTNoMu110_IDTight
HLT_MonoCentralPFJet80_PFMETNoMu120_PFMHTNoMu120_IDTight
HLT_MonoCentralPFJet80_PFMETNoMu90_PFMHTNoMu90_IDTight
HLT_Mu14er_PFMET100
HLT_Mu3er_PFHT140_PFMET125
HLT_Mu6_PFHT200_PFMET100
HLT_Mu6_PFHT200_PFMET80_BTagCSV_p067
HLT_PFMET100_PFMHT100_IDTight_BeamHaloCleaned
HLT_PFMET100_PFMHT100_IDTight
HLT_PFMET110_PFMHT110_IDTight
HLT_PFMET120_BTagCSV_p067
HLT_PFMET120_Mu5
HLT_PFMET120_PFMHT120_IDTight
HLT_PFMET170_BeamHaloCleaned
HLT_PFMET170_HBHECleaned
HLT_PFMET170_HBHE_BeamHaloCleaned
HLT_PFMET170_JetIdCleaned
HLT_PFMET170_NoiseCleaned
HLT_PFMET170_NotCleaned
HLT_PFMET300
HLT_PFMET400
HLT_PFMET500
HLT_PFMET600
HLT_PFMET90_PFMHT90_IDTight
HLT_PFMETNoMu100_PFMHTNoMu100_IDTight
HLT_PFMETNoMu110_PFMHTNoMu110_IDTight
HLT_PFMETNoMu120_PFMHTNoMu120_IDTight
HLT_PFMETNoMu90_PFMHTNoMu90_IDTight
HLT_PFMETTypeOne190_HBHE_BeamHaloCleaned
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / NANO
This primary NANOAOD dataset was processed from the MINIAOD dataset by the following step:
Step: NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016H-MuOnia-UL2016_MiniAODv2_NanoAODv9\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_Dimuon0_Phi_Barrel
HLT_Dimuon0_Upsilon_Muon
HLT_Dimuon13_Upsilon
HLT_Dimuon8_Upsilon_Barrel
HLT_Mu16_TkMu0_dEta18_Onia
HLT_Mu16_TkMu0_dEta18_Phi
HLT_Mu25_TkMu0_dEta18_Onia
HLT_Mu7p5_L2Mu2_Upsilon
HLT_Mu7p5_Track2_Upsilon
HLT_Mu7p5_Track3p5_Upsilon
HLT_Mu7p5_Track7_Upsilon
HLT_QuadMuon0_Dimuon0_Upsilon
Events stored in this primary dataset were selected because of the presence of at least two muons in the event requiring only very low energy and some requirements in the invariant mass for selecting low-mass resonances.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This NANOAOD dataset was processed from the RAW dataset by the following steps:
Step NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016H-MuOnia-UL2016_MiniAODv2_NanoAODv9
Output dataset: /MuOnia/Run2016H-UL2016_MiniAODv2_NanoAODv9-v1/NANOAOD\n
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016H-MuOnia-UL2016_MiniAODv2
Output dataset: /MuOnia/Run2016H-UL2016_MiniAODv2-v2/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016H_MuOnia
Output dataset: /MuOnia/Run2016H-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_Dimuon0_Phi_Barrel
HLT_Dimuon0_Upsilon_Muon
HLT_Dimuon13_Upsilon
HLT_Dimuon8_Upsilon_Barrel
HLT_Mu16_TkMu0_dEta18_Onia
HLT_Mu16_TkMu0_dEta18_Phi
HLT_Mu25_TkMu0_dEta18_Onia
HLT_Mu7p5_L2Mu2_Upsilon
HLT_Mu7p5_Track2_Upsilon
HLT_Mu7p5_Track3p5_Upsilon
HLT_Mu7p5_Track7_Upsilon
HLT_QuadMuon0_Dimuon0_Upsilon
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / NANO
This primary NANOAOD dataset was processed from the MINIAOD dataset by the following step:
Step: NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016H-MuonEG-UL2016_MiniAODv2_NanoAODv9\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DiMu9_Ele9_CaloIdL_TrackIdL
HLT_Mu12_Photon25_CaloIdL_L1ISO
HLT_Mu12_Photon25_CaloIdL_L1OR
HLT_Mu12_Photon25_CaloIdL
HLT_Mu12_TrkIsoVVL_Ele23_CaloIdL_TrackIdL_IsoVL_DZ
HLT_Mu12_TrkIsoVVL_Ele23_CaloIdL_TrackIdL_IsoVL
HLT_Mu17_Photon22_CaloIdL_L1ISO
HLT_Mu17_Photon30_CaloIdL_L1ISO
HLT_Mu17_Photon35_CaloIdL_L1ISO
HLT_Mu17_TrkIsoVVL_Ele12_CaloIdL_TrackIdL_IsoVL
HLT_Mu23NoFiltersNoVtx_Photon23_CaloIdL
HLT_Mu23_TrkIsoVVL_Ele12_CaloIdL_TrackIdL_IsoVL_DZ
HLT_Mu23_TrkIsoVVL_Ele12_CaloIdL_TrackIdL_IsoVL
HLT_Mu23_TrkIsoVVL_Ele8_CaloIdL_TrackIdL_IsoVL_DZ
HLT_Mu23_TrkIsoVVL_Ele8_CaloIdL_TrackIdL_IsoVL
HLT_Mu27_Ele37_CaloIdL_GsfTrkIdVL
HLT_Mu28NoFiltersNoVtxDisplaced_Photon28_CaloIdL
HLT_Mu30_Ele30_CaloIdL_GsfTrkIdVL
HLT_Mu33NoFiltersNoVtxDisplaced_Photon33_CaloIdL
HLT_Mu33_Ele33_CaloIdL_GsfTrkIdVL
HLT_Mu37_Ele27_CaloIdL_GsfTrkIdVL
HLT_Mu38NoFiltersNoVtx_Photon38_CaloIdL
HLT_Mu42NoFiltersNoVtx_Photon42_CaloIdL
HLT_Mu8_DiEle12_CaloIdL_TrackIdL
HLT_Mu8_Ele8_CaloIdM_TrackIdM_Mass8_PFHT250
HLT_Mu8_Ele8_CaloIdM_TrackIdM_Mass8_PFHT300
HLT_Mu8_TrkIsoVVL_Ele17_CaloIdL_TrackIdL_IsoVL
HLT_Mu8_TrkIsoVVL_Ele23_CaloIdL_TrackIdL_IsoVL_DZ
HLT_Mu8_TrkIsoVVL_Ele23_CaloIdL_TrackIdL_IsoVL
Events stored in this primary dataset were selected because of the presence of one energetic muon and electron or photon.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This NANOAOD dataset was processed from the RAW dataset by the following steps:
Step NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016H-MuonEG-UL2016_MiniAODv2_NanoAODv9
Output dataset: /MuonEG/Run2016H-UL2016_MiniAODv2_NanoAODv9-v1/NANOAOD\n
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016H-MuonEG-UL2016_MiniAODv2
Output dataset: /MuonEG/Run2016H-UL2016_MiniAODv2-v2/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016H_MuonEG
Output dataset: /MuonEG/Run2016H-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DiMu9_Ele9_CaloIdL_TrackIdL
HLT_Mu12_Photon25_CaloIdL_L1ISO
HLT_Mu12_Photon25_CaloIdL_L1OR
HLT_Mu12_Photon25_CaloIdL
HLT_Mu12_TrkIsoVVL_Ele23_CaloIdL_TrackIdL_IsoVL_DZ
HLT_Mu12_TrkIsoVVL_Ele23_CaloIdL_TrackIdL_IsoVL
HLT_Mu17_Photon22_CaloIdL_L1ISO
HLT_Mu17_Photon30_CaloIdL_L1ISO
HLT_Mu17_Photon35_CaloIdL_L1ISO
HLT_Mu17_TrkIsoVVL_Ele12_CaloIdL_TrackIdL_IsoVL
HLT_Mu23NoFiltersNoVtx_Photon23_CaloIdL
HLT_Mu23_TrkIsoVVL_Ele12_CaloIdL_TrackIdL_IsoVL_DZ
HLT_Mu23_TrkIsoVVL_Ele12_CaloIdL_TrackIdL_IsoVL
HLT_Mu23_TrkIsoVVL_Ele8_CaloIdL_TrackIdL_IsoVL_DZ
HLT_Mu23_TrkIsoVVL_Ele8_CaloIdL_TrackIdL_IsoVL
HLT_Mu27_Ele37_CaloIdL_GsfTrkIdVL
HLT_Mu28NoFiltersNoVtxDisplaced_Photon28_CaloIdL
HLT_Mu30_Ele30_CaloIdL_GsfTrkIdVL
HLT_Mu33NoFiltersNoVtxDisplaced_Photon33_CaloIdL
HLT_Mu33_Ele33_CaloIdL_GsfTrkIdVL
HLT_Mu37_Ele27_CaloIdL_GsfTrkIdVL
HLT_Mu38NoFiltersNoVtx_Photon38_CaloIdL
HLT_Mu42NoFiltersNoVtx_Photon42_CaloIdL
HLT_Mu8_DiEle12_CaloIdL_TrackIdL
HLT_Mu8_Ele8_CaloIdM_TrackIdM_Mass8_PFHT250
HLT_Mu8_Ele8_CaloIdM_TrackIdM_Mass8_PFHT300
HLT_Mu8_TrkIsoVVL_Ele17_CaloIdL_TrackIdL_IsoVL
HLT_Mu8_TrkIsoVVL_Ele23_CaloIdL_TrackIdL_IsoVL_DZ
HLT_Mu8_TrkIsoVVL_Ele23_CaloIdL_TrackIdL_IsoVL
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / NANO
This primary NANOAOD dataset was processed from the MINIAOD dataset by the following step:
Step: NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016H-SingleElectron-UL2016_MiniAODv2_NanoAODv9\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_Ele105_CaloIdVT_GsfTrkIdT
HLT_Ele115_CaloIdVT_GsfTrkIdT
HLT_Ele145_CaloIdVT_GsfTrkIdT
HLT_Ele15_IsoVVVL_BTagCSV_p067_PFHT400
HLT_Ele15_IsoVVVL_PFHT350_PFMET50
HLT_Ele15_IsoVVVL_PFHT350
HLT_Ele15_IsoVVVL_PFHT400_PFMET50
HLT_Ele15_IsoVVVL_PFHT400
HLT_Ele15_IsoVVVL_PFHT600
HLT_Ele200_CaloIdVT_GsfTrkIdT
HLT_Ele20_eta2p1_WPLoose_Gsf_LooseIsoPFTau28
HLT_Ele22_eta2p1_WPLoose_Gsf_LooseIsoPFTau20_SingleL1
HLT_Ele22_eta2p1_WPLoose_Gsf_LooseIsoPFTau29
HLT_Ele22_eta2p1_WPLoose_Gsf
HLT_Ele23_WPLoose_Gsf_WHbbBoost
HLT_Ele23_WPLoose_Gsf
HLT_Ele24_eta2p1_WPLoose_Gsf_LooseIsoPFTau20_SingleL1
HLT_Ele24_eta2p1_WPLoose_Gsf_LooseIsoPFTau20
HLT_Ele24_eta2p1_WPLoose_Gsf_LooseIsoPFTau30
HLT_Ele24_eta2p1_WPLoose_Gsf
HLT_Ele250_CaloIdVT_GsfTrkIdT
HLT_Ele25_WPTight_Gsf
HLT_Ele25_eta2p1_WPLoose_Gsf
HLT_Ele25_eta2p1_WPTight_Gsf
HLT_Ele27_WPLoose_Gsf_WHbbBoost
HLT_Ele27_WPLoose_Gsf
HLT_Ele27_WPTight_Gsf_L1JetTauSeeded
HLT_Ele27_WPTight_Gsf
HLT_Ele27_eta2p1_WPLoose_Gsf_DoubleMediumIsoPFTau32_Trk1_eta2p1_Reg
HLT_Ele27_eta2p1_WPLoose_Gsf_DoubleMediumIsoPFTau35_Trk1_eta2p1_Reg
HLT_Ele27_eta2p1_WPLoose_Gsf_DoubleMediumIsoPFTau40_Trk1_eta2p1_Reg
HLT_Ele27_eta2p1_WPLoose_Gsf_HT200
HLT_Ele27_eta2p1_WPLoose_Gsf_LooseIsoPFTau20_SingleL1
HLT_Ele27_eta2p1_WPLoose_Gsf
HLT_Ele27_eta2p1_WPTight_Gsf
HLT_Ele300_CaloIdVT_GsfTrkIdT
HLT_Ele30_WPTight_Gsf
HLT_Ele30_eta2p1_WPTight_Gsf
HLT_Ele32_WPTight_Gsf
HLT_Ele32_eta2p1_WPLoose_Gsf_LooseIsoPFTau20_SingleL1
HLT_Ele32_eta2p1_WPTight_Gsf
HLT_Ele35_CaloIdVT_GsfTrkIdT_PFJet150_PFJet50
HLT_Ele35_WPLoose_Gsf
HLT_Ele36_eta2p1_WPLoose_Gsf_LooseIsoPFTau20_SingleL1
HLT_Ele45_CaloIdVT_GsfTrkIdT_PFJet200_PFJet50
HLT_Ele45_WPLoose_Gsf_L1JetTauSeeded
HLT_Ele45_WPLoose_Gsf
HLT_Ele50_CaloIdVT_GsfTrkIdT_PFJet140
HLT_Ele50_CaloIdVT_GsfTrkIdT_PFJet165
HLT_Ele50_IsoVVVL_PFHT400
Events stored in this primary dataset were selected because of the presence of at least one high-energy electron, or at least one high-energy electron and one or more jets or tau.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This NANOAOD dataset was processed from the RAW dataset by the following steps:
Step NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016H-SingleElectron-UL2016_MiniAODv2_NanoAODv9
Output dataset: /SingleElectron/Run2016H-UL2016_MiniAODv2_NanoAODv9-v1/NANOAOD\n
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016H-SingleElectron-UL2016_MiniAODv2
Output dataset: /SingleElectron/Run2016H-UL2016_MiniAODv2-v2/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016H_SingleElectron
Output dataset: /SingleElectron/Run2016H-21Feb2020_UL2016-v2/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_Ele105_CaloIdVT_GsfTrkIdT
HLT_Ele115_CaloIdVT_GsfTrkIdT
HLT_Ele145_CaloIdVT_GsfTrkIdT
HLT_Ele15_IsoVVVL_BTagCSV_p067_PFHT400
HLT_Ele15_IsoVVVL_PFHT350_PFMET50
HLT_Ele15_IsoVVVL_PFHT350
HLT_Ele15_IsoVVVL_PFHT400_PFMET50
HLT_Ele15_IsoVVVL_PFHT400
HLT_Ele15_IsoVVVL_PFHT600
HLT_Ele200_CaloIdVT_GsfTrkIdT
HLT_Ele20_eta2p1_WPLoose_Gsf_LooseIsoPFTau28
HLT_Ele22_eta2p1_WPLoose_Gsf_LooseIsoPFTau20_SingleL1
HLT_Ele22_eta2p1_WPLoose_Gsf_LooseIsoPFTau29
HLT_Ele22_eta2p1_WPLoose_Gsf
HLT_Ele23_WPLoose_Gsf_WHbbBoost
HLT_Ele23_WPLoose_Gsf
HLT_Ele24_eta2p1_WPLoose_Gsf_LooseIsoPFTau20_SingleL1
HLT_Ele24_eta2p1_WPLoose_Gsf_LooseIsoPFTau20
HLT_Ele24_eta2p1_WPLoose_Gsf_LooseIsoPFTau30
HLT_Ele24_eta2p1_WPLoose_Gsf
HLT_Ele250_CaloIdVT_GsfTrkIdT
HLT_Ele25_WPTight_Gsf
HLT_Ele25_eta2p1_WPLoose_Gsf
HLT_Ele25_eta2p1_WPTight_Gsf
HLT_Ele27_WPLoose_Gsf_WHbbBoost
HLT_Ele27_WPLoose_Gsf
HLT_Ele27_WPTight_Gsf_L1JetTauSeeded
HLT_Ele27_WPTight_Gsf
HLT_Ele27_eta2p1_WPLoose_Gsf_DoubleMediumIsoPFTau32_Trk1_eta2p1_Reg
HLT_Ele27_eta2p1_WPLoose_Gsf_DoubleMediumIsoPFTau35_Trk1_eta2p1_Reg
HLT_Ele27_eta2p1_WPLoose_Gsf_DoubleMediumIsoPFTau40_Trk1_eta2p1_Reg
HLT_Ele27_eta2p1_WPLoose_Gsf_HT200
HLT_Ele27_eta2p1_WPLoose_Gsf_LooseIsoPFTau20_SingleL1
HLT_Ele27_eta2p1_WPLoose_Gsf
HLT_Ele27_eta2p1_WPTight_Gsf
HLT_Ele300_CaloIdVT_GsfTrkIdT
HLT_Ele30_WPTight_Gsf
HLT_Ele30_eta2p1_WPTight_Gsf
HLT_Ele32_WPTight_Gsf
HLT_Ele32_eta2p1_WPLoose_Gsf_LooseIsoPFTau20_SingleL1
HLT_Ele32_eta2p1_WPTight_Gsf
HLT_Ele35_CaloIdVT_GsfTrkIdT_PFJet150_PFJet50
HLT_Ele35_WPLoose_Gsf
HLT_Ele36_eta2p1_WPLoose_Gsf_LooseIsoPFTau20_SingleL1
HLT_Ele45_CaloIdVT_GsfTrkIdT_PFJet200_PFJet50
HLT_Ele45_WPLoose_Gsf_L1JetTauSeeded
HLT_Ele45_WPLoose_Gsf
HLT_Ele50_CaloIdVT_GsfTrkIdT_PFJet140
HLT_Ele50_CaloIdVT_GsfTrkIdT_PFJet165
HLT_Ele50_IsoVVVL_PFHT400
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / NANO
This primary NANOAOD dataset was processed from the MINIAOD dataset by the following step:
Step: NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016H-SingleMuon-UL2016_MiniAODv2_NanoAODv9\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DoubleIsoMu17_eta2p1_noDzCut
HLT_DoubleIsoMu17_eta2p1
HLT_IsoMu16_eta2p1_MET30_LooseIsoPFTau50_Trk30_eta2p1
HLT_IsoMu16_eta2p1_MET30
HLT_IsoMu17_eta2p1_LooseIsoPFTau20_SingleL1
HLT_IsoMu17_eta2p1_LooseIsoPFTau20
HLT_IsoMu18
HLT_IsoMu19_eta2p1_LooseIsoPFTau20_SingleL1
HLT_IsoMu19_eta2p1_LooseIsoPFTau20
HLT_IsoMu19_eta2p1_MediumIsoPFTau32_Trk1_eta2p1_Reg
HLT_IsoMu20
HLT_IsoMu21_eta2p1_LooseIsoPFTau20_SingleL1
HLT_IsoMu21_eta2p1_LooseIsoPFTau50_Trk30_eta2p1_SingleL1
HLT_IsoMu21_eta2p1_MediumIsoPFTau32_Trk1_eta2p1_Reg
HLT_IsoMu22_eta2p1
HLT_IsoMu22
HLT_IsoMu24_eta2p1
HLT_IsoMu24
HLT_IsoMu27
HLT_IsoTkMu18
HLT_IsoTkMu20
HLT_IsoTkMu22_eta2p1
HLT_IsoTkMu22
HLT_IsoTkMu24_eta2p1
HLT_IsoTkMu24
HLT_IsoTkMu27
HLT_L1SingleMu16
HLT_L1SingleMu18
HLT_L2Mu10
HLT_Mu10_TrkIsoVVL_DiPFJet40_DEta3p5_MJJ750_HTT350_PFMETNoMu60
HLT_Mu15_IsoVVVL_BTagCSV_p067_PFHT400
HLT_Mu15_IsoVVVL_PFHT350_PFMET50
HLT_Mu15_IsoVVVL_PFHT350
HLT_Mu15_IsoVVVL_PFHT400_PFMET50
HLT_Mu15_IsoVVVL_PFHT400
HLT_Mu15_IsoVVVL_PFHT600
HLT_Mu16_eta2p1_MET30
HLT_Mu20
HLT_Mu24_eta2p1
HLT_Mu27
HLT_Mu28NoFiltersNoVtx_CentralCaloJet40
HLT_Mu28NoFiltersNoVtx_DisplacedJet40_Loose
HLT_Mu300
HLT_Mu30_eta2p1_PFJet150_PFJet50
HLT_Mu33NoFiltersNoVtxDisplaced_DisplacedJet50_Loose
HLT_Mu33NoFiltersNoVtxDisplaced_DisplacedJet50_Tight
HLT_Mu350
HLT_Mu38NoFiltersNoVtxDisplaced_DisplacedJet60_Loose
HLT_Mu38NoFiltersNoVtxDisplaced_DisplacedJet60_Tight
HLT_Mu38NoFiltersNoVtx_DisplacedJet60_Loose
HLT_Mu40_eta2p1_PFJet200_PFJet50
HLT_Mu45_eta2p1
HLT_Mu50_IsoVVVL_PFHT400
HLT_Mu50
HLT_Mu55
HLT_Mu8_TrkIsoVVL_DiPFJet40_DEta3p5_MJJ750_HTT300_PFMETNoMu60
HLT_TkMu17
HLT_TkMu20
HLT_TkMu24_eta2p1
HLT_TkMu27
HLT_TkMu50
Events stored in this primary dataset were selected because of the presence of at least one energetic muon, or at least one muon and one or more jets, tau or high missing transverse momentum.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This NANOAOD dataset was processed from the RAW dataset by the following steps:
Step NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016H-SingleMuon-UL2016_MiniAODv2_NanoAODv9
Output dataset: /SingleMuon/Run2016H-UL2016_MiniAODv2_NanoAODv9-v1/NANOAOD\n
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016H-SingleMuon-UL2016_MiniAODv2
Output dataset: /SingleMuon/Run2016H-UL2016_MiniAODv2-v2/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016H_SingleMuon
Output dataset: /SingleMuon/Run2016H-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DoubleIsoMu17_eta2p1_noDzCut
HLT_DoubleIsoMu17_eta2p1
HLT_IsoMu16_eta2p1_MET30_LooseIsoPFTau50_Trk30_eta2p1
HLT_IsoMu16_eta2p1_MET30
HLT_IsoMu17_eta2p1_LooseIsoPFTau20_SingleL1
HLT_IsoMu17_eta2p1_LooseIsoPFTau20
HLT_IsoMu18
HLT_IsoMu19_eta2p1_LooseIsoPFTau20_SingleL1
HLT_IsoMu19_eta2p1_LooseIsoPFTau20
HLT_IsoMu19_eta2p1_MediumIsoPFTau32_Trk1_eta2p1_Reg
HLT_IsoMu20
HLT_IsoMu21_eta2p1_LooseIsoPFTau20_SingleL1
HLT_IsoMu21_eta2p1_LooseIsoPFTau50_Trk30_eta2p1_SingleL1
HLT_IsoMu21_eta2p1_MediumIsoPFTau32_Trk1_eta2p1_Reg
HLT_IsoMu22_eta2p1
HLT_IsoMu22
HLT_IsoMu24_eta2p1
HLT_IsoMu24
HLT_IsoMu27
HLT_IsoTkMu18
HLT_IsoTkMu20
HLT_IsoTkMu22_eta2p1
HLT_IsoTkMu22
HLT_IsoTkMu24_eta2p1
HLT_IsoTkMu24
HLT_IsoTkMu27
HLT_L1SingleMu16
HLT_L1SingleMu18
HLT_L2Mu10
HLT_Mu10_TrkIsoVVL_DiPFJet40_DEta3p5_MJJ750_HTT350_PFMETNoMu60
HLT_Mu15_IsoVVVL_BTagCSV_p067_PFHT400
HLT_Mu15_IsoVVVL_PFHT350_PFMET50
HLT_Mu15_IsoVVVL_PFHT350
HLT_Mu15_IsoVVVL_PFHT400_PFMET50
HLT_Mu15_IsoVVVL_PFHT400
HLT_Mu15_IsoVVVL_PFHT600
HLT_Mu16_eta2p1_MET30
HLT_Mu20
HLT_Mu24_eta2p1
HLT_Mu27
HLT_Mu28NoFiltersNoVtx_CentralCaloJet40
HLT_Mu28NoFiltersNoVtx_DisplacedJet40_Loose
HLT_Mu300
HLT_Mu30_eta2p1_PFJet150_PFJet50
HLT_Mu33NoFiltersNoVtxDisplaced_DisplacedJet50_Loose
HLT_Mu33NoFiltersNoVtxDisplaced_DisplacedJet50_Tight
HLT_Mu350
HLT_Mu38NoFiltersNoVtxDisplaced_DisplacedJet60_Loose
HLT_Mu38NoFiltersNoVtxDisplaced_DisplacedJet60_Tight
HLT_Mu38NoFiltersNoVtx_DisplacedJet60_Loose
HLT_Mu40_eta2p1_PFJet200_PFJet50
HLT_Mu45_eta2p1
HLT_Mu50_IsoVVVL_PFHT400
HLT_Mu50
HLT_Mu55
HLT_Mu8_TrkIsoVVL_DiPFJet40_DEta3p5_MJJ750_HTT300_PFMETNoMu60
HLT_TkMu17
HLT_TkMu20
HLT_TkMu24_eta2p1
HLT_TkMu27
HLT_TkMu50
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / NANO
This primary NANOAOD dataset was processed from the MINIAOD dataset by the following step:
Step: NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016H-SinglePhoton-UL2016_MiniAODv2_NanoAODv9\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_Photon120_R9Id90_HE10_Iso40_EBOnly_PFMET40
HLT_Photon120_R9Id90_HE10_Iso40_EBOnly_VBF
HLT_Photon120_R9Id90_HE10_IsoM
HLT_Photon120
HLT_Photon135_PFMET100
HLT_Photon165_HE10
HLT_Photon165_R9Id90_HE10_IsoM
HLT_Photon175
HLT_Photon22_R9Id90_HE10_Iso40_EBOnly_PFMET40
HLT_Photon22_R9Id90_HE10_Iso40_EBOnly_VBF
HLT_Photon22_R9Id90_HE10_IsoM
HLT_Photon22
HLT_Photon250_NoHE
HLT_Photon300_NoHE
HLT_Photon30_R9Id90_HE10_IsoM
HLT_Photon30
HLT_Photon36_R9Id90_HE10_Iso40_EBOnly_PFMET40
HLT_Photon36_R9Id90_HE10_Iso40_EBOnly_VBF
HLT_Photon36_R9Id90_HE10_IsoM
HLT_Photon36
HLT_Photon500
HLT_Photon50_R9Id90_HE10_Iso40_EBOnly_PFMET40
HLT_Photon50_R9Id90_HE10_Iso40_EBOnly_VBF
HLT_Photon50_R9Id90_HE10_IsoM
HLT_Photon50
HLT_Photon600
HLT_Photon75_R9Id90_HE10_Iso40_EBOnly_PFMET40
HLT_Photon75_R9Id90_HE10_Iso40_EBOnly_VBF
HLT_Photon75_R9Id90_HE10_IsoM
HLT_Photon75
HLT_Photon90_CaloIdL_PFHT500
HLT_Photon90_CaloIdL_PFHT600
HLT_Photon90_R9Id90_HE10_Iso40_EBOnly_PFMET40
HLT_Photon90_R9Id90_HE10_Iso40_EBOnly_VBF
HLT_Photon90_R9Id90_HE10_IsoM
HLT_Photon90
Events stored in this primary dataset were selected because of the presence of one energetic photon, or one photon and high missing transverse momentum.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This NANOAOD dataset was processed from the RAW dataset by the following steps:
Step NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016H-SinglePhoton-UL2016_MiniAODv2_NanoAODv9
Output dataset: /SinglePhoton/Run2016H-UL2016_MiniAODv2_NanoAODv9-v1/NANOAOD\n
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016H-SinglePhoton-UL2016_MiniAODv2
Output dataset: /SinglePhoton/Run2016H-UL2016_MiniAODv2-v2/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016H_SinglePhoton
Output dataset: /SinglePhoton/Run2016H-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_Photon120_R9Id90_HE10_Iso40_EBOnly_PFMET40
HLT_Photon120_R9Id90_HE10_Iso40_EBOnly_VBF
HLT_Photon120_R9Id90_HE10_IsoM
HLT_Photon120
HLT_Photon135_PFMET100
HLT_Photon165_HE10
HLT_Photon165_R9Id90_HE10_IsoM
HLT_Photon175
HLT_Photon22_R9Id90_HE10_Iso40_EBOnly_PFMET40
HLT_Photon22_R9Id90_HE10_Iso40_EBOnly_VBF
HLT_Photon22_R9Id90_HE10_IsoM
HLT_Photon22
HLT_Photon250_NoHE
HLT_Photon300_NoHE
HLT_Photon30_R9Id90_HE10_IsoM
HLT_Photon30
HLT_Photon36_R9Id90_HE10_Iso40_EBOnly_PFMET40
HLT_Photon36_R9Id90_HE10_Iso40_EBOnly_VBF
HLT_Photon36_R9Id90_HE10_IsoM
HLT_Photon36
HLT_Photon500
HLT_Photon50_R9Id90_HE10_Iso40_EBOnly_PFMET40
HLT_Photon50_R9Id90_HE10_Iso40_EBOnly_VBF
HLT_Photon50_R9Id90_HE10_IsoM
HLT_Photon50
HLT_Photon600
HLT_Photon75_R9Id90_HE10_Iso40_EBOnly_PFMET40
HLT_Photon75_R9Id90_HE10_Iso40_EBOnly_VBF
HLT_Photon75_R9Id90_HE10_IsoM
HLT_Photon75
HLT_Photon90_CaloIdL_PFHT500
HLT_Photon90_CaloIdL_PFHT600
HLT_Photon90_R9Id90_HE10_Iso40_EBOnly_PFMET40
HLT_Photon90_R9Id90_HE10_Iso40_EBOnly_VBF
HLT_Photon90_R9Id90_HE10_IsoM
HLT_Photon90
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing / NANO
This primary NANOAOD dataset was processed from the MINIAOD dataset by the following step:
Step: NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016H-Tau-UL2016_MiniAODv2_NanoAODv9\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DoubleMediumCombinedIsoPFTau35_Trk1_eta2p1_Reg
HLT_DoubleMediumCombinedIsoPFTau40_Trk1_eta2p1_Reg
HLT_DoubleMediumCombinedIsoPFTau40_Trk1_eta2p1
HLT_DoubleMediumIsoPFTau32_Trk1_eta2p1_Reg
HLT_DoubleMediumIsoPFTau35_Trk1_eta2p1_Reg
HLT_DoubleMediumIsoPFTau40_Trk1_eta2p1_Reg
HLT_DoubleTightCombinedIsoPFTau35_Trk1_eta2p1_Reg
HLT_DoubleTightCombinedIsoPFTau40_Trk1_eta2p1_Reg
HLT_DoubleTightCombinedIsoPFTau40_Trk1_eta2p1
HLT_IsoMu19_eta2p1_LooseCombinedIsoPFTau20
HLT_IsoMu19_eta2p1_MediumCombinedIsoPFTau32_Trk1_eta2p1_Reg
HLT_IsoMu19_eta2p1_TightCombinedIsoPFTau32_Trk1_eta2p1_Reg
HLT_IsoMu21_eta2p1_MediumCombinedIsoPFTau32_Trk1_eta2p1_Reg
HLT_IsoMu21_eta2p1_TightCombinedIsoPFTau32_Trk1_eta2p1_Reg
HLT_LooseIsoPFTau50_Trk30_eta2p1_MET110
HLT_LooseIsoPFTau50_Trk30_eta2p1_MET120
HLT_LooseIsoPFTau50_Trk30_eta2p1_MET80
HLT_LooseIsoPFTau50_Trk30_eta2p1_MET90
HLT_LooseIsoPFTau50_Trk30_eta2p1
HLT_PFTau120_eta2p1
HLT_PFTau140_eta2p1
HLT_VLooseIsoPFTau120_Trk50_eta2p1
HLT_VLooseIsoPFTau140_Trk50_eta2p1
Events stored in this primary dataset were selected because of the presence of at least one tau, or one tau and muon or high missing transverse momentum.
Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.
Data processing
This NANOAOD dataset was processed from the RAW dataset by the following steps:
Step NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35\n
Configuration file for NANO step ReReco-Run2016H-Tau-UL2016_MiniAODv2_NanoAODv9
Output dataset: /Tau/Run2016H-UL2016_MiniAODv2_NanoAODv9-v1/NANOAOD\n
Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35\n
Configuration file for PAT step ReReco-Run2016H-Tau-UL2016_MiniAODv2
Output dataset: /Tau/Run2016H-UL2016_MiniAODv2-v1/MINIAOD\n
Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27\n
Configuration file for RECO step recoskim_Run2016H_Tau
Output dataset: /Tau/Run2016H-21Feb2020_UL2016-v1/AOD\n
HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DoubleMediumCombinedIsoPFTau35_Trk1_eta2p1_Reg
HLT_DoubleMediumCombinedIsoPFTau40_Trk1_eta2p1_Reg
HLT_DoubleMediumCombinedIsoPFTau40_Trk1_eta2p1
HLT_DoubleMediumIsoPFTau32_Trk1_eta2p1_Reg
HLT_DoubleMediumIsoPFTau35_Trk1_eta2p1_Reg
HLT_DoubleMediumIsoPFTau40_Trk1_eta2p1_Reg
HLT_DoubleTightCombinedIsoPFTau35_Trk1_eta2p1_Reg
HLT_DoubleTightCombinedIsoPFTau40_Trk1_eta2p1_Reg
HLT_DoubleTightCombinedIsoPFTau40_Trk1_eta2p1
HLT_IsoMu19_eta2p1_LooseCombinedIsoPFTau20
HLT_IsoMu19_eta2p1_MediumCombinedIsoPFTau32_Trk1_eta2p1_Reg
HLT_IsoMu19_eta2p1_TightCombinedIsoPFTau32_Trk1_eta2p1_Reg
HLT_IsoMu21_eta2p1_MediumCombinedIsoPFTau32_Trk1_eta2p1_Reg
HLT_IsoMu21_eta2p1_TightCombinedIsoPFTau32_Trk1_eta2p1_Reg
HLT_LooseIsoPFTau50_Trk30_eta2p1_MET110
HLT_LooseIsoPFTau50_Trk30_eta2p1_MET120
HLT_LooseIsoPFTau50_Trk30_eta2p1_MET80
HLT_LooseIsoPFTau50_Trk30_eta2p1_MET90
HLT_LooseIsoPFTau50_Trk30_eta2p1
HLT_PFTau120_eta2p1
HLT_PFTau140_eta2p1
HLT_VLooseIsoPFTau120_Trk50_eta2p1
HLT_VLooseIsoPFTau140_Trk50_eta2p1
Simulated dataset Neutrino_E-10_gun in PREMIX format for 2016 collision data. Events are sampled from this dataset and added to simulated data to make them comparable with the 2016 collision data, see the guide to pile-up simulation.
See the description of the simulated dataset names in: About CMS simulated dataset names.
This is a sample (10%) of the original dataset.
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", + "steps": [ + { + "configuration_files": [ + { + "script": "#!/bin/bash\n\n# GEN Script begin\nrm -f request_fragment_check.py\nwget -q https://raw.githubusercontent.com/cms-sw/genproductions/master/bin/utils/request_fragment_check.py\nchmod +x request_fragment_check.py\n./request_fragment_check.py --bypass_status --prepid PPD-RunIISummer20UL16GEN-00001\nGEN_ERR=$?\nif [ $GEN_ERR -ne 0 ]; then\n echo \"GEN Checking Script returned exit code $GEN_ERR which means there are $GEN_ERR errors\"\n echo \"Validation WILL NOT RUN\"\n echo \"Please correct errors in the request and run validation again\"\n exit $GEN_ERR\nfi\necho \"Running VALIDATION. GEN Request Checking Script returned no errors\"\n# GEN Script end\n\n# Download fragment from McM\ncurl -s -k https://cms-pdmv-prod.web.cern.ch/mcm/public/restapi/requests/get_fragment/PPD-RunIISummer20UL16GEN-00001 --retry 3 --create-dirs -o Configuration/GenProduction/python/PPD-RunIISummer20UL16GEN-00001-fragment.py\n[ -s Configuration/GenProduction/python/PPD-RunIISummer20UL16GEN-00001-fragment.py ] || exit $?;\n\n# Check if fragment contais gridpack path ant that it is in cvmfs\nif grep -q \"gridpacks\" Configuration/GenProduction/python/PPD-RunIISummer20UL16GEN-00001-fragment.py; then\n if ! grep -q \"/cvmfs/cms.cern.ch/phys_generator/gridpacks\" Configuration/GenProduction/python/PPD-RunIISummer20UL16GEN-00001-fragment.py; then\n echo \"Gridpack inside fragment is not in cvmfs.\"\n exit -1\n fi\nfi\n\n# Dump actual test code to a PPD-RunIISummer20UL16GEN-00001_test.sh file that can be run in Singularity\ncat <<'EndOfTestFile' > PPD-RunIISummer20UL16GEN-00001_test.sh\n#!/bin/bash\n\nexport SCRAM_ARCH=slc7_amd64_gcc700\n\nsource /cvmfs/cms.cern.ch/cmsset_default.sh\nif [ -r CMSSW_10_6_17_patch1/src ] ; then\n echo release CMSSW_10_6_17_patch1 already exists\nelse\n scram p CMSSW CMSSW_10_6_17_patch1\nfi\ncd CMSSW_10_6_17_patch1/src\neval `scram runtime -sh`\n\nmv ../../Configuration .\nscram b\ncd ../..\n\n# Maximum validation duration: 28800s\n# Margin for validation duration: 30%\n# Validation duration with margin: 28800 * (1 - 0.30) = 20160s\n# Time per event for each sequence: 0.0474s\n# Threads for each sequence: 1\n# Time per event for single thread for each sequence: 1 * 0.0474s = 0.0474s\n# Which adds up to 0.0474s per event\n# Single core events that fit in validation duration: 20160s / 0.0474s = 425652\n# Produced events limit in McM is 10000\n# According to 1.0000 efficiency, validation should run 10000 / 1.0000 = 10000 events to reach the limit of 10000\n# Take the minimum of 425652 and 10000, but more than 0 -> 10000\n# It is estimated that this validation will produce: 10000 * 1.0000 = 10000 events\nEVENTS=10000\n\n\n# cmsDriver command\ncmsDriver.py Configuration/GenProduction/python/PPD-RunIISummer20UL16GEN-00001-fragment.py --python_filename PPD-RunIISummer20UL16GEN-00001_1_cfg.py --eventcontent RAWSIM --customise Configuration/DataProcessing/Utils.addMonitoring --datatier GEN --fileout file:PPD-RunIISummer20UL16GEN-00001.root --conditions 106X_mcRun2_asymptotic_v13 --beamspot Realistic25ns13TeV2016Collision --customise_commands process.source.numberEventsInLuminosityBlock=\"cms.untracked.uint32(100)\" --step GEN --geometry DB:Extended --era Run2_2016 --no_exec --mc -n $EVENTS || exit $? ;\n\n# Run generated config\nREPORT_NAME=PPD-RunIISummer20UL16GEN-00001_report.xml\n# Run the cmsRun\ncmsRun -e -j $REPORT_NAME PPD-RunIISummer20UL16GEN-00001_1_cfg.py || exit $? ;\n\n# Parse values from PPD-RunIISummer20UL16GEN-00001_report.xml report\nprocessedEvents=$(grep -Po \"(?<=To make these simulated data comparable with the collision data, pile-up events from the dataset /MinBias_TuneCP5_13TeV-pythia8/RunIISummer20UL16SIM-106X_mcRun2_asymptotic_v13-v2/GEN-SIM are added to the simulated event in the DIGI step.
PFNanoProducerTool is a producer package to be used with the CMSSW software. The output files are available for Run2016G collision datasets on this portal and they can be analysed independently.
\nFor any additional production, CMSSW is available in the CMS Open Data environments: in the CMS Docker container and in the CMS VM image.
- For the Docker container, install the corresponding Docker container.
- For the VM image, follow the instructions in How to install a CERN Virtual Machine.
To download and run the PFNanoProducer code, follow the instructions at https://github.com/cms-opendata-analyses/PFNanoProducerTool.
\nFor more information about physics object access, see the CMS Open Data Guide web site.
\nThe output files from the PFNanoProducer package have the usual NanoAOD content and, in addition, the PF candidate information. The files are produced in the ROOT format and their analysis does not require the use of CMSSW and CMS Open data environments.
" + "description": "PFNanoProducerTool is a producer package to be used with the CMSSW software. The output files are available for Run2016G collision datasets on this portal and they can be analysed independently.
\nFor any additional production, CMSSW is available in the CMS Open Data environments: in the CMS Docker container and in the CMS VM image.
- For the Docker container, install the corresponding Docker container.
- For the VM image, follow the instructions in How to install a CERN Virtual Machine.
To download and run the PFNanoProducer code, follow the instructions at https://github.com/cms-opendata-analyses/PFNanoProducerTool.
\nFor more information about physics object access, see the CMS Open Data Guide web site.
\nThe output files from the PFNanoProducer package have the usual NanoAOD content and, in addition, the PF candidate information. The files are produced in the ROOT format and their analysis does not require the use of CMSSW and CMS Open data environments.
" }, "use_with": { "description": "Use this software with any CMS 2016 MiniAOD or MiniAODSIM datasets." diff --git a/cernopendata/modules/fixtures/data/records/cms-tools-vm-image-2016-2018.json b/cernopendata/modules/fixtures/data/records/cms-tools-vm-image-2016-2018.json new file mode 100644 index 0000000000..b4bfd1d659 --- /dev/null +++ b/cernopendata/modules/fixtures/data/records/cms-tools-vm-image-2016-2018.json @@ -0,0 +1,147 @@ +[ + { + "abstract": { + "description": "This virtual machine image provides CMS computing environment to be used with the CMS MiniAOD open data from 2016 - 2018. The virtual machine is based on CernVM. The image gets the CMS software (CMSSW) from /cvmfs/cms.cern.ch and the jobs running on the VM read the condition data from /cvmfs/cms-opendata-conddb.cern.ch. Access to the data is through XRootD.
It has a 40G virtual hard disk and a 20G cvmfs cache, which is large enough for condition data for full event range for 2016 data (see the CMS guide to the condition database for further details). It has an embedded CERN CentOS (cc7) shell with the architecture compatible with the CMS software version, in which all CMS software specific commands should be executed. Additionally, it has another CERN CentOS 7 (cc7) shell, which can be used in the same session.
For known issues and limitations see
", + "links": [ + { + "title": "CMS CC7 Virtual Machines - Known Issues and Limitations", + "url": "/docs/cms-virtual-machine-cc7#issue" + } + ] + }, + "accelerator": "CERN-LHC", + "collaboration": { + "name": "CMS Collaboration" + }, + "collections": [ + "CMS-Tools" + ], + "date_created": [ + "2016" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "ova" + ], + "number_files": 1, + "size": 20500480 + }, + "experiment": [ + "CMS" + ], + "files": [ + { + "checksum": "adler32:24f015c5", + "size": 20500480, + "uri": "root://eospublic.cern.ch//eos/opendata/cms/environment/1.6.0/CMS-OpenData-1.6.0.ova" + } + ], + "methodology": { + "description": "The contextualisation scripts used for setting up the CMS VM images are available at", + "links": [ + { + "recid": "259" + } + ] + }, + "publisher": "CERN Open Data Portal", + "recid": "258", + "run_period": [ + "Run2016G", + "Run2016H" + ], + "title": "CMS CC7 VM Image, for CMS MiniAOD open data from 2016 - 2018", + "type": { + "primary": "Environment", + "secondary": [ + "VM" + ] + }, + "usage": { + "description": "Please follow the instructions on how to use the CMS Virtual Machine", + "links": [ + { + "description": "CMS CC7 Virtual Machines: How to install", + "url": "/docs/cms-virtual-machine-cc7" + } + ] + } + }, + { + "abstract": { + "description": "The scripts provided create the CMS virtual machine image based on CernVM, with CERN CentOS 7 (cc7).
" + }, + "accelerator": "CERN-LHC", + "collections": [ + "CMS-Tools" + ], + "date_created": [ + "2016" + ], + "date_published": "2024", + "distribution": { + "formats": [ + "hdd", + "iso", + "sh", + "txt" + ], + "number_files": 5, + "size": 25604650 + }, + "experiment": [ + "CMS" + ], + "files": [ + { + "checksum": "adler32:f13714c4", + "size": 368640, + "uri": "root://eospublic.cern.ch//eos/opendata/cms/environment/1.6.0/CMS-OpenData-1.6.0.context.iso" + }, + { + "checksum": "adler32:180f3ca3", + "size": 196, + "uri": "root://eospublic.cern.ch//eos/opendata/cms/environment/1.6.0/cernvm-script" + }, + { + "checksum": "adler32:175a7154", + "size": 4302, + "uri": "root://eospublic.cern.ch//eos/opendata/cms/environment/1.6.0/cms-user-data.txt" + }, + { + "checksum": "adler32:786f33c7", + "size": 152, + "uri": "root://eospublic.cern.ch//eos/opendata/cms/environment/1.6.0/opendata-desktop-settings" + }, + { + "checksum": "adler32:9c7c8157", + "size": 25231360, + "uri": "root://eospublic.cern.ch//eos/opendata/cms/environment/1.6.0/ucernvm-v4prod.2020.07-1.cernvm.x86_64.hdd" + } + ], + "publisher": "CERN Open Data Portal", + "recid": "259", + "relations": [ + { + "description": "The CERN VM image produced by these scripts can be found here:", + "recid": "258", + "type": "isRelatedTo" + } + ], + "run_period": [ + "Run2016G", + "Run2016H" + ], + "title": "Contextualisation scripts to create the CMS VM Image version 1.6.0", + "type": { + "primary": "Environment", + "secondary": [ + "VM" + ] + }, + "usage": { + "description": "First, you need to run a normal Micro-CernVM, using your own context so you can login. Copy the attached files to the running VM and then login.
Inside the VM, you need a copy of the latest Micro-CernVM release as a template for the Open Data image. Download the template ucernvm-v4prod.2020.07-1.cernvm.x86_64.hdd from this record, inside the running VM placing it in the same directory as the other files.
Run the script:./cernvm-script
which will produce some output on the terminal, and then finish.
The result should be a file with the title coming from the -n field in the script, in this case:CMS-OpenData-1.6.0.ova
which can be copied from the running VM to elsewhere.
Preview
{%include "cernopendata_ispy/ispy_standalone.html"%} {% endif %} + {% if record.cross_section %} +Cross section
+ {% if record.cross_section.description %} + {{record.cross_section.description | safe}} ++ {% else %} +
For {{record.collision_information.type }} collisions at {{record.collision_information.energy }}, this sample has a cross section of ({{record.cross_section.total_value }} +/- {{record.cross_section.total_value_uncertainty }}) pb, calculated using the method described in CMS guide for cross sections.
+ {% endif %} + {% if record.cross_section.matching_efficiency %} +This cross section takes into account a matching efficiency of {{record.cross_section.matching_efficiency }} and a filtering efficiency of {{record.cross_section.filter_efficiency }}, based on generator settings and/or filters.
+ {% else %} +This cross section takes into account a filtering efficiency of {{record.cross_section.filter_efficiency }}, based on generator settings and/or filters.
+ {% endif %} + {% if record.cross_section.neg_weight_fraction %} +If this sample was generated at NLO, it has {{record.cross_section.neg_weight_fraction }}% events with negative weights.
+ {% endif %} +This is a leading-order value, and cross sections evaluated at next-to-leading order (NLO) or next-to-next-to-leading order (NNLO) should be used, if available.
+ {% endif %} + {% if record.use_with %}Use with
{{record.use_with.description | safe}}
@@ -210,6 +229,15 @@}})
=1.3.0,<2.0.0",
+ "invenio-app>=1.3.0,<1.5.0",
"invenio-base>=1.3.0,<2.0.0",
"invenio-config>=1.0.3,<2.0.0",
# Custom Invenio `base` bundle
@@ -113,12 +113,14 @@
"SQLAlchemy==1.4.49 ",
# Pin Flask-SQLAlchemy version due to apply_driver_hacks
"Flask-SQLAlchemy==3.0.0",
+ "Flask-Alembic==2.0.1",
# Pin Celery due to worker runtime issues
"celery==5.2.7",
# Pin XRootD consistently with Dockerfile
- "xrootd==5.6.6",
+ "xrootd==5.6.8",
# Pin Flask/gevent/greenlet/raven to make master work again
"Flask==2.2.5",
+ "Flask-Alembic==2.0.1",
"flask-celeryext==0.4.0",
"Werkzeug~=2.2.0",
"gevent==22.10.1",