Les Houches
2023 Session
-
- 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)
This is an old revision of the document!
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
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