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2023:groups:smjets:jets-and-ml:start

This is an old revision of the document!


Interested people: Loukas, …

Ideas

- train W-vs-q/g and q-vs-g with state-of-the-art generators

- 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

Rivet plugin to dump a root tree

MC samples

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

2023/groups/smjets/jets-and-ml/start.1686917953.txt.gz · Last modified: 2023/06/16 14:19 by andreas.hinzmann