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Reference tune #2
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@mlazzarin to close this issue we should:
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I've written the results obtained with the runcards (or the weightfiles) that are in the folder |
Non mi apre il PDF, è forse corrotto?
…On Sat, May 4, 2019, 09:58 Marco Lazzarin ***@***.***> wrote:
I've written the results obtained with the runcards (or the weightfiles)
that are in the folder reference_tune_AZ_Pythia8 in this draft, table 2:
Results_comparison.pdf
<https://github.com/scarrazza/mcnntunes/files/3144105/Results_comparison.pdf>
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Sul mio PC viene aperto. Ho provato a cambiare compilatore: |
Non va ancora. Sto provando dal telefono però. Proverò nel pomeriggio dal
laptop
…On Sat, May 4, 2019, 11:49 Marco Lazzarin ***@***.***> wrote:
Sul mio PC viene aperto. Ho provato a cambiare compilatore:
Results_comparison.pdf
<https://github.com/scarrazza/mcnntunes/files/3144212/Results_comparison.pdf>
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Ok, se non funziona neanche sul laptop mi avvisi che tento in altri modi. |
Thanks, the PDF is working fine for me. |
Now is working fine for me too.
The results seem solid. We should talk about how to proceed/wrap up the
project.
Next week I will be at DESY but I am reachable via Skype.
Simone
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…On Sat, May 4, 2019 at 12:59 PM Stefano Carrazza ***@***.***> wrote:
Thanks, the PDF is working fine for me.
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Simone, just to keep you updated, Marco is now implementing a closure test mechanism in mcnntune and professor in order to build a quality estimator. This will be extremely useful for testing and tuning the mcnntune output. |
Ok, perfect. The only other missing part compared to Professor is the
availability of Eigentunes, i.e. variations of 1 sigma in each direction
with respect the best tune result. These are used (perhaps without a solid
theoretical foundation) to estimate the uncertainty coming with the tune.
Do we want to include something along these lines in MCNNTUNE ?
ᐧ
…On Sun, May 5, 2019 at 2:09 PM Stefano Carrazza ***@***.***> wrote:
Simone, just to keep you updated, Marco is now implementing a closure test
mechanism in mcnntune and professor in order to build a quality estimator.
This will be extremely useful for testing and tuning the mcnntune output.
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Yes, I think after the colsure implementation we have to provide reliable uncertainties. |
We should take #1 and apply https://professor.hepforge.org/.
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