Jet energy drop
Pedro Cal, Kyle Lee, Felix Ringer, Wouter J. Waalewijn

TL;DR
This paper develops a theoretical framework to accurately predict the jet energy drop in high-energy collisions, incorporating advanced resummation techniques and comparing results with experimental data and simulations.
Contribution
It introduces a next-to-leading logarithmic resummation framework for jet energy drop, accounting for non-global and clustering logarithms, and performs joint resummation for soft drop grooming.
Findings
Predicted the onset of nonperturbative effects in jet energy distribution.
Validated the framework against Pythia simulations and CMS data.
Identified jet energy drop as a sensitive probe for soft radiation and medium effects.
Abstract
We study the jet energy drop, which is the relative difference between the groomed and ungroomed jet energy or transverse momentum. It is one of the fundamental quantities that characterizes the impact of grooming on jets produced in high energy collisions. We consider three different grooming algorithms i) soft drop, ii) iterated soft drop, and iii) trimming. We carry out the resummation of large logarithms of the jet energy drop, the jet radius as well as relevant grooming parameters at next-to-leading logarithmic (NLL) accuracy. In addition, we account for non-global and clustering logarithms, and determine the next-to-leading order corrections. For soft drop we perform a joint resummation of the jet energy drop and the groomed jet radius, which is necessary to achieve the correct all-order structure of the cross section, in particular for the Sudakov-safe case of soft drop with…
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