Flavored jets with exact anti- kt kinematics and tests of infrared and collinear safety

Fabrizio Caola, Radosław Grabarczyk, Maxwell L. Hutt, Gavin P. Salam, Ludovic Scyboz, Jesse Thaler

Research output: Contribution to journalArticleResearchpeer-review

6 Citations (Scopus)

Abstract

We propose extensions of the anti-kt and Cambridge/Aachen hierarchical jet clustering algorithms that are designed to retain the exact jet kinematics of these algorithms, while providing an infrared-and-collinear-safe definition of jet flavor at any fixed order in perturbation theory. Central to our approach is a new technique called interleaved flavor neutralization (IFN), whereby the treatment of flavor is integrated with, but distinct from, the kinematic clustering. IFN allows flavor information to be meaningfully accessed at each stage of the clustering sequence, which enables a consistent assignment of flavor both to individual jets and to their substructure. We validate the IFN approach using a dedicated framework for fixed-order tests of infrared and collinear safety, which also reveals unanticipated issues in earlier approaches to flavored jet clustering. We briefly explore the phenomenological impact of IFN with anti-kt jets for benchmark tasks at the Large Hadron Collider.

Original languageEnglish
Article number094010
Number of pages35
JournalPhysical Review D
Volume108
Issue number9
DOIs
Publication statusPublished - 6 Nov 2023
Externally publishedYes

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