Abstract

In this work, we provide a comprehensive set of differential cross-section distributions for photon + di-jet production in proton-proton collisions with next-to-next-to-leading order precision in massless QCD. The event selection corresponds to recent measurements by the ATLAS collaboration. We observe an improved description of data in comparison to lower-order calculations in the case of observables that are expected to be well described by perturbation theory. The results also show better agreement with data than parton-shower-matched and multi-jet-merged predictions generated for the ATLAS analysis using the Sherpa Monte Carlo. A particular highlight of our study is the use of exact five-point two-loop virtual amplitudes. This is the first calculation of a complete two-to-three hadron-collider process at next-to-next-to-leading order in QCD that does not rely on the leading-colour approximation at two loops. We demonstrate, nevertheless, that the sub-leading-colour effects present in the infraredand ultraviolet-finite double-virtual contributions are negligible in view of the remaining scale uncertainties.

Details

Title
Isolated photon production in association with a jet pair through next-to-next-to-leading order in QCD
Author
Badger, Simon 1 ; Czakon, Michał 2   VIAFID ORCID Logo  ; Hartanto, Heribertus Bayu 3 ; Moodie, Ryan 1 ; Peraro, Tiziano 4 ; Poncelet, Rene 3   VIAFID ORCID Logo  ; Zoia, Simone 1 

 Dipartimento di Fisica and Arnold-Regge Center, Università di Torino and INFN, Sezione di Torino, Torino, Italy (GRID:grid.470222.1) (ISNI:0000 0004 7471 9712) 
 RWTH Aachen University, Institut für Theoretische Teilchenphysik und Kosmologie, Aachen, Germany (GRID:grid.1957.a) (ISNI:0000 0001 0728 696X) 
 University of Cambridge, Cavendish Laboratory, Cambridge, UK (GRID:grid.5335.0) (ISNI:0000 0001 2188 5934) 
 Dipartimento di Fisica e Astronomia, Università di Bologna and INFN, Sezione di Bologna, Bologna, Italy (GRID:grid.470193.8) (ISNI:0000 0004 8343 7610) 
Pages
71
Publication year
2023
Publication date
Oct 2023
Publisher
Springer Nature B.V.
e-ISSN
10298479
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2876786204
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.