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Antenna subtraction for jet production observables in full colour at NNLO

Chen, X. 1,2; Gehrmann, T.; Glover, E. W. N.; Mo, J.
1 Institut für Theoretische Physik (ITP), Karlsruher Institut für Technologie (KIT)
2 Institut für Astroteilchenphysik (IAP), Karlsruher Institut für Technologie (KIT)

Abstract:

We describe the details of the calculation of the full colour NNLO QCD corrections to jet production observables at the LHC with antenna subtraction. All relevant matrix elements for the process pp → jj at NNLO in full colour are colour-decomposed and given in a N$_{c}$ and n$_{f}$ expansion, making identification of leading and subleading colour contributions transparent. The colour-ordered antenna subtraction method has previously successfully been used to construct the NNLO subtraction terms for processes with up to five partons or in the leading colour approximation. However, it is challenged by the more involved subleading colour structure of the squared matrix elements in processes with six or more partons. Here, we describe the methods needed to successfully construct the NNLO subtraction terms for the subleading colour contributions to dijet production within the antenna subtraction formalism.


Verlagsausgabe §
DOI: 10.5445/IR/1000151618
Veröffentlicht am 19.10.2022
Originalveröffentlichung
DOI: 10.1007/JHEP10(2022)040
Scopus
Zitationen: 4
Web of Science
Zitationen: 4
Dimensions
Zitationen: 4
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Astroteilchenphysik (IAP)
Institut für Theoretische Physik (ITP)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2022
Sprache Englisch
Identifikator ISSN: 1029-8479
KITopen-ID: 1000151618
HGF-Programm 51.11.01 (POF IV, LK 01) Teilchenphysik
Erschienen in Journal of High Energy Physics
Verlag Scuola Internazionale Superiore di Studi Avanzati (SISSA)
Band 2022
Heft 10
Seiten Art.-Nr.:40
Vorab online veröffentlicht am 06.10.2022
Schlagwörter Higher-Order Perturbative Calculations, Jets and Jet Substructure, Specific QCD Phenomenology
Nachgewiesen in Dimensions
Web of Science
Scopus
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