Practical Jet Flavour Through NNLO

Abstract

An infrared and collinear (IRC) safe definition of the partonic flavour of a jet is vital for precision predictions of quantum chromodynamics at colliders. Jet flavour definitions have been presented in the literature, but they are typically defined through modification of the jet algorithm to be sensitive to partonic flavour at every stage of the clustering. While this does ensure that the sum of flavours in a jet is IRC safe, a flavour-sensitive clustering procedure is difficult to apply to realistic data. We introduce a distinct and novel approach to jet flavour that can be applied to any collection of partons defined by any algorithm. Our definition of jet flavour is the sum of flavours of all partons that remain after Soft Drop grooming, reclustered with the Jade algorithm. We prove that this prescription is IRC safe through next-to-next-to-leading order (NNLO), and so can interface with the most precise fixed-order calculations for jets available at present. We validate the IRC safety of this definition with numeric fixed-order codes and further show that jet flavour with Soft Drop reclustered with a generalised kT algorithm fails to be IRC safe at NNLO.

arXiv comment19 pages, 4 figures; version accepted for publication

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Cited by in corpus (9)

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• Les Houches 2021: Physics at TeV Colliders: Report on the Standard Model Precision Wishlist
• Associated production of a $W$ boson and massive bottom quarks at next-to-next-to-leading order in QCD
• A Fragmentation Approach to Jet Flavor
• Machine learning-based jet and event classification at the Electron-Ion Collider with applications to hadron structure and spin physics
• NNLO B-fragmentation fits and their application to $t\bar{t}$ production and decay at the LHC
• Understanding Jet Charge
• A detailed investigation of W+c-jet at the LHC
• Les Houches 2023 -- Physics at TeV Colliders: Report on the Standard Model Precision Wishlist