On the Topic of Jets

Jul 19, 2018, 9:50 AM
Charpak Amphitheater (Paris)

Charpak Amphitheater


UPMC (Jussieu) Campus
Talk New Tools


Eric Metodiev (Massachusetts Institute of Technology)


I discuss a new framework to identify underlying classes of jets directly from data without input from simulation or theory. Due to a mathematical connection between mixed samples of jets and emergent themes in documents, statistical methods from topic modeling can be used to extract "jet topics" from data. I apply the jet topics method to extract quark and gluon multiplicity distributions from simulated Z+jet and dijet samples. I compute the jet topics to leading logarithmic accuracy for jet mass and perturbative multiplicity and discuss the relevance for defining quarks and gluons. I also discuss the potential to directly adapt any machine-learned jet tagger as a jet fraction and topic extractor.

Primary author

Eric Metodiev (Massachusetts Institute of Technology)


Patrick Komiske (Massachusetts Institute of Technology) Jesse Thaler (MIT)

Presentation materials