A new suite of Lund-tree observables to resolve jets

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Authors: Melissa Corona van Beekveld, Luca Buonocore, Silvia Ferrario Ravasio, Pier Francesco Monni, Alba Soto-Ontoso, Grégory Soyez
Cited by: 0
References: 136

Abstract

A bstract We introduce a class of collider observables, named Lund-Tree Shapes (LTS), defined from declustering trees originating from the Lund jet plane representation of the QCD radiation pattern in multi-jet scattering processes. At the differential level, they are continuous, global variables akin classical event shapes and n → n + 1 jet-resolution parameters, which probe the geometry and hierarchical structure of the radiation in an event. At the integrated, cumulative level, they naturally define n jet rates, providing a jet-multiplicity-based characterisation of multi-jet final states. In addition, the versatile definition of the LTS can be exploited to scan systematically the QCD radiation pattern in scattering events and jets. From a theoretical viewpoint, such observables feature a simple all-order structure and are free of non-global logarithmic corrections. Their definition applies to scattering processes with any number of resolved jets in the final state, as well as to groomed jets. They are thus usable as resolution variables in the context of higher-order calculations via phase-space slicing, matching fixed-order calculations to parton showers, and testing the logarithmic accuracy of shower algorithms. As an initial application, we derive next-to-next-to-leading-logarithmic accurate predictions for processes with two QCD legs at ee , pp and ep colliders, and matched predictions to next-to-next-to-leading order for the LHC, discussing aspects of collider phenomenology.

Fields of Study & Subjects

Particle physics theoretical and experimental studies High-Energy Particle Collisions Research Quantum Chromodynamics and Particle Interactions

Publication details

Journal / source
Journal of High Energy Physics
Publisher
Springer Science and Business Media LLC
Volume
2026
Issue
6
Publication date
4 June 2026
Language
EN