Abstract

By measuring the substructure of a jet, one can assign it a “quark” or “gluon” tag. In the eikonal (double-logarithmic) limit, quark/gluon discrimination is determined solely by the color factor of the initiating parton (CF versus CA). In this paper, we confront the challenges faced when going beyond this leading-order understanding, using both parton-shower generators and first-principles calculations to assess the impact of higher-order perturbative and nonperturbative physics. Working in the idealized context of electron-positron collisions, where one can define a proxy for quark and gluon jets based on the Lorentz structure of the production vertex, we find a fascinating interplay between perturbative shower effects and nonperturbative hadronization effects. Turning to proton-proton collisions, we highlight a core set of measurements that would constrain current uncertainties in quark/gluon tagging and improve the overall modeling of jets at the Large Hadron Collider.

Highlights

  • Gluon radiates soft gluons proportional to CA = 3, and quark/gluon tagging performance is a function of CA/CF

  • Working in the idealized context of electron-positron collisions, where one can define a proxy for quark and gluon jets based on the Lorentz structure of the production vertex, we find a fascinating interplay between perturbative shower effects and nonperturbative hadronization effects

  • There is the ambiguity of which parton shower to use, so we investigate quark/gluon radiation patterns in several event generators: Pythia 8.215 [39], Herwig 2.7.1 [40, 41], Sherpa 2.2.1 [43], Vincia 2.001 [44], Deductor 1.0.2 [45], Ariadne 5.0.β [46], and Dire 1.0.0 [48]

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Summary

A Born-level quark parton

A quark operator appearing in a hard matrix element in the context of a factorization theorem. This is clearly an idealization, though one that makes some sense in the context of e+e− collisions, since truth-level “quark” and “gluon” labels can be defined by the Lorentz structure of the production vertex. This in turn would help λκβ become a more robust and powerful discriminant in searches for new physics beyond the standard model

Generalized angularities
Classifier separation
Casimir scaling at LL
NLL resummation
Nonperturbative shape function
Baseline analysis
Parameter dependence
Impact of generator settings
Defining enriched samples
Findings
Summary and recommendations
Full Text
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