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2023:groups:smtools:start [2023/06/19 08:27]
sudeepan.datta
2023:groups:smtools:start [2023/06/19 11:11] (current)
stefan.kiebacher
Line 106: Line 106:
  
 Interested: Simon, Andrzej, Stefan K. Interested: Simon, Andrzej, Stefan K.
 +
 +
 +===Tuning Accord and Strategies===
 +  * What is currently done:
 +    - Common framework for tuning exist, but no single script to run
 +      - Nice to have a script, which automatically prints exactly what is done and with which flags
 +    - Every generator team does tuning on their own
 +    - Almost no documentation on the tunes provided
 +      - Rarely publicly available weights
 +      - Rarely publicly available tuning options (samples, interpolation order, flags used, ...)
 +      - Often post-processing tune by eye
 +  * Goals of the project:
 +    - Coordination among generator authors of Herwig, Pythia and Sherpa (mattermost channel?)
 +    - Common framework for tuning exist, but no single reproducible script:
 +      - Stefan K. trying to provide this in Professor, which automatically documents what version, options, flags, etc. are being run 
 +      - Someone could do something similar in Apprentice
 +    - Les Houches Accord on some Benchmark observable+weight sets:
 +      - Observable quality & quantity requirements:​
 +        - No ratio Rivets if full information is available?
 +        - Reduce double counting of observables:​
 +          - No gaps in histogram (see e.g. some ALEPH identified particle momentum distribution)
 +          - Smaller bin-width is preferred
 +          - Enough statistics:
 +            - NOTE: If the errors of the data are to small a theory uncertainty should be provided to the tuning framework otherwise the minimization will likely over-fit this data
 +      - Benchmark sets:
 +        - Conservative set of selected (IRC safe?) Event Shapes:
 +          - Input from perturbative experts needed
 +          - Only close to the peak, where hadronization is not dominant
 +        - Provide global sets from each generator to gather information
 +        - Ultimate goals:
 +          - Minimal set of accorded observables+weights among all generators for comparability
 +            - Tune using $\chi^2$ (more strict) and $\chi^2/​(1+\chi^2)$ (less strict)
 +          - Maximal set of accorded observables+weights among all generators for comparability
 +            - Tune using $\chi^2$ (more strict) and $\chi^2/​(1+\chi^2)$ (less strict)
 +    - Provide recommendations to experiments on tuning?
 +      - ...
 +
 +Interested: Simon, Andrzej, Stefan K., ....
  
  
2023/groups/smtools/start.1687156030.txt.gz ยท Last modified: 2023/06/19 08:27 by sudeepan.datta