Gaining (Mutual) Information about Quark/Gluon Discrimination
Andrew J. Larkoski, Jesse Thaler, Wouter J. Waalewijn

TL;DR
This paper uses mutual information to analyze and improve quark/gluon jet discrimination by studying various angularities, revealing the role of correlations, complementarity, and the impact of perturbative orders and simulation models.
Contribution
It introduces mutual information as a diagnostic tool for quark/gluon tagging, analyzing a broad class of angularities and their combinations at different perturbative orders and models.
Findings
Mutual information helps identify redundant variables in quark/gluon discrimination.
Combining angularities with different exponents improves discrimination performance.
IRC unsafe observables can be analytically understood using nonperturbative functions.
Abstract
Discriminating quark jets from gluon jets is an important but challenging problem in jet substructure. In this paper, we use the concept of mutual information to illuminate the physics of quark/gluon tagging. Ideal quark/gluon separation requires only one bit of truth information, so even if two discriminant variables are largely uncorrelated, they can still share the same "truth overlap". Mutual information can be used to diagnose such situations, and thus determine which discriminant variables are redundant and which can be combined to improve performance. Using both parton showers and analytic resummation, we study a two-parameter family of generalized angularities, which includes familiar infrared and collinear (IRC) safe observables like thrust and broadening, as well as IRC unsafe variants like and hadron multiplicity. At leading-logarithmic (LL) order, the bulk of these…
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