Abstract

We introduce collinear drop jet substructure observables, which are unaffected by contributions from collinear radiation, and systematically probe soft radiation within jets. These observables can be designed to be either sensitive or insensitive to process-dependent soft radiation originating from outside the jet. Such collinear drop observables can be exploited as variables to distinguish quark, gluon, and color neutral initiated jets, for testing predictions for perturbative soft radiation in Monte Carlo simulations, for assessing models and universality for hadronization corrections, for examining the efficiency of pileup subtraction methods, and for any other application that leaves an imprint on soft radiation. We discuss examples of collinear drop observables that are based both on clustering and on jet shapes. Using the soft-collinear effective theory we derive factorization expressions for collinear drop observables from QCD jets, and carry out a resummation of logarithmically enhanced contributions at next-to-leading-logarithmic order. We also identify an infinite class of collinear drop observables for which the leading double logarithms are absent.

Highlights

  • Jets are collimated sprays of particles observed in high energy colliders

  • We introduce collinear drop jet substructure observables, which are unaffected by contributions from collinear radiation, and systematically probe soft radiation within jets

  • These observables can be designed to be either sensitive or insensitive to processdependent soft radiation originating from outside the jet. Such collinear drop observables can be exploited as variables to distinguish quark, gluon, and color neutral initiated jets, for testing predictions for perturbative soft radiation in Monte Carlo simulations, for assessing models and universality for hadronization corrections, for examining the efficiency of pileup subtraction methods, and for any other application that leaves an imprint on soft radiation

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Summary

Introduction

Jets are collimated sprays of particles observed in high energy colliders. They emerge from energetic quarks and gluons produced in a hard collision, which are converted into final state particles through parton splitting and hadronization. An important ingredient for testing such improvements is to define new types of observables that are sensitive to different regions of phase space, or which test aspects of the shower beyond the leading collinear approximation Another driving force for making progress in understanding hard collisions has been systematically improvable field theoretic methods for making predictions for jet data. This is accomplished by using jet grooming procedures [45–49] to suppress soft contributions to jet observables by systematically removing soft and wide-angle particles within the jet This leads to groomed observables that are much less sensitive to the dynamics of any processes occurring outside of the jet, such as initial and final state soft radiation from other jets, underlying event, and pileup. The goal here is to consider jet observables that are sensitive to physics in various soft phase space regions This makes collinear drop observables ideal for studying perturbative soft dynamics, hadronization, underlying event, and pileup in proton-proton collisions.

Collinear drop definition
Collinear drop from jet grooming
Collinear drop from jet shapes
Examples that are not collinear drop observables
Comparison of phase space with soft drop and collinear drop
Soft drop factorization and the groomed-ungroomed transition
Soft-drop for pp collisions with a jet of radius R
Transition between groomed and ungroomed regions and profiles
Monte Carlo and partonic SCET results for mJ
Collinear drop from soft drop grooming at O(αs)
Factorization for collinear drop using soft drop grooming
Collinear drop ∆m2 with hierarchical constraints
Collinear drop ∆m2 with β1 = β2
Transitions with increasing ∆m2 for collinear drop
Profile function for ∆m2
Partonic SCET results for ∆m2
Monte Carlo analysis and comparison to analytic predictions
Monte Carlo partonic results for ∆m2 We begin in figure 13 by reproducing with
Comparison to partonic SCET results for ∆m2
Annulus energy fraction
Findings
Conclusions and outlook
Full Text
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