A tool for interpreting simplified-model results from the LHC

Federico Ambrogi, Juhi Dutta, Jan Heisig, Charanjit K. Khosa, Sabine Kraml, Suchita Kulkarni, Ursula Laa, Andre Lessa, Veronika Magerl, Wolfgang Magerl, Philipp Neuhuber, Doris Proschofsky, Humberto Reyes-Gonzalez, Jory Sonneveld, Michael Traub, Wolfgang Waltenberger, Matthias Wolf, Alicia Wongel

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27 Apr 2020: SModelS version 1.2.3 is now available (what's new)

• A preprint describing the database update and SModelS' increase in constraining power will be available shortly.
• SModelS is registered in the python package index, try pip install smodels.

28 Nov 2018: SModelS version 1.2.2 is now available (what's new)

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• A detailed documentation is available in the online manual
• You may also want to check the release notes and known issues
• For questions and comments, send an e-mail to: smodels-users@lists.oeaw.ac.at
• To receive updates and announcements, subscribe to smodels-info.

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If you use SModelS, please cite the following papers:

• SModelS v1.2: long-lived particles, combination of signal regions, and other novelties, Federico Ambrogi et al., arXiv:1811.10624, CPC 251, June 2020, 106848
• Constraining new physics with searches for long-lived particles: Implementation into SModelS, Jan Heisig, Sabine Kraml, Andre Lessa, arXiv:1808.05229, Phys.Lett. B788 (2019) 87-95.
• SModelS extension with the CMS supersymmetry search results from Run 2, Juhi Dutta, Sabine Kraml, Andre Lessa, Wolfgang Waltenberger, arXiv:1803.02204, LHEP 1 (2018) no.1,5-12
• SModelS v1.1 user manual: improving simplified model constraints with efficiency maps, Federico Ambrogi, Sabine Kraml, Suchita Kulkarni, Ursula Laa, Andre Lessa, Veronika Magerl, Jory Sonneveld, Michael Traub, Wolfgang Waltenberger arXiv:1701.06586, CPC 227 (2018) 72-98
• SModelS: a tool for interpreting simplified-model results from the LHC and its application to supersymmetry, Sabine Kraml, Suchita Kulkarni, Ursula Laa, Andre Lessa, Wolfgang Magerl, Doris Proschofsky, Wolfgang Waltenberger, arXiv:1312.4175, EPJC (2014) 74:2868

Moreover

• If you use the cross section calculator please cite Pythia and NLLfast
• If you use the Fastlim results in the database, please cite Fastlim 1.0 arXiv:1402.40492, EPJC74 (2014) 11.

For convenience a .bib file is provided with the code containing all relevant references. Likewise, a .bib file is provided in the database folder with references to all the ATLAS and CMS analyses used.

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Introduction

SModelS is based on a general procedure to decompose Beyond the Standard Model (BSM) collider signatures presenting a Z₂ symmetry into Simplified Model Spectrum (SMS) topologies. Our method provides a way to cast BSM predictions for the LHC in a model independent framework, which can be directly confronted with the relevant experimental constraints. The main SModelS ingredients are

• the decomposition of the BSM spectrum into SMS topologies
• a database of experimental SMS results
• the interface between decomposition and results database to compute limits

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Code and Database updates

• For code and database releases, see Download

Installation

• For instructions on how to install SModelS, check the installation section in the manual.

Experimental results in the database

• Here is the list of analyses contained in the latest database version
• Same as above but including superseded analyses
• Pretty validation plots for all analyses
• We also provide an SMS dictionary explaining the Tx names used by SModelS

Publications and Talks

See the publications and talks page

Recommendations about the presentation of results

A wishlist regarding the presentation of results was compiled by the LHC reinterpretation forum, see arXiv:2003.07868.