ML4Jets2023

Session

Taggers & Understanding

8 Nov 2023, 11:30

Seminarraum 4a/b (DESY)

Conveners

Taggers & Understanding

• Matt LeBlanc (University of Manchester (GB))

Presentation materials

Zoom link

76. Evaluating Equivariance for Reconstruction

Savannah Thais

08/11/2023, 11:30

Particle physics is governed by a number of fundamental symmetries including Lorentz symmetry, gauge symmetries of the Standard Model, and discrete symmetries like charge, parity, and time. Consequently, designing equivariant ML architectures has emerged as a popular method for incorporating physics-inspired inductive biases into ML models. In this work, we evaluate commonly cited benefits of...

4. Constituent based Quark/Gluon Jet Tagging

Samuel Jankovych (Charles University (CZ))

08/11/2023, 11:45

Improving the identification of jets initiated from gluon or quark will impact the precision of several analysis in the ATLAS collaboration physics program. Current identification algorithms (taggers) take as inputs high-level jet kinematic and substructure variables as the number of tracks associated to the jet or the jet width. We present a novel approach to tag quark- and gluon-initiated...

97. Quark versus gluon tagging in CMS Open Data with CWoLa and TopicFlow

Ayodele Ore

08/11/2023, 12:00

Tools for discriminating quark and gluon jets are of key importance at the LHC. Methods that train directly on real data are well motivated due to both the ambiguity of parton labels and the potential for mismodelled jet substructure in Monte Carlo. This talk presents a study of weakly-supervised learning applied to Z+jet and dijet events in CMS Open Data. Using CWoLa classifiers, we...