Les Houches
2023 Session
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- Use of wiki pages and slack. Wifi access/set-up.
- Important info about bus, lodging, facilities.
- Bulletins.
Wikis of Previous sessions
Les Houches Themes
(Lyrics and Music)
(Lyrics and Music)
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Interested people: Loukas, …
- train W-vs-q/g and q-vs-g with state-of-the-art generators
- consider training dijet vs Z+jet vs W(qq) without any use of “flavor-truth” to remain generator independent. cross check with CMS-style-parton-flavor-definition
- reweight to different observables in measurements, check performance
- make a rivet plugin of a ML-tagger as testbed to MC generators
- Identify which part of the hadronization process shows the largest discrepancy between the generators
- Cross-correlation between the discriminate of the same algorithm training using different MC generators. e.g. jet tagged with one MC generator, not tagged by the other
- Change some parameters of pythia's hadronization model. Can a classifier discriminate between those and help tuning
# setup LCG environment source /cvmfs/sft.cern.ch/lcg/views/LCG_103/x86_64-centos7-gcc11-opt/setup.sh # build example analysis wget https://gitlab.com/hepcedar/rivet/-/raw/rivet-3.1.7/analyses/examples/EXAMPLE_NTUPLE_ROOT.cc rivet-build RivetExampleAnalyses.so EXAMPLE_NTUPLE_ROOT.cc `root-config --cflags --libs` export RIVET_ANALYSIS_PATH=$PWD # check the build is successful rivet --show-analysis EXAMPLE_NTUPLE_ROOT # run it rivet --analysis EXAMPLE_NTUPLE_ROOT 0000.hepmc
Start from example https://gitlab.com/hepcedar/rivet/-/blob/release-3-1-x/analyses/examples/EXAMPLE_NTUPLE_ROOT.cc
At hadron level with all particles HEPMC
Do not need the whole event, but only the particles within the leading jet
W→qq with 300<pT<500
dijets with 300<pT<500