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Measurement of the jet mass in hadronic decays of boosted W bosons at 13TeV and extraction of the W boson mass
Yerevan Physics Institute, Yerevan, Armenia. (CMS Collaboration)
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab. INFN Sezione di Padova, Padova, Italy. (CMS Collaboration)ORCID iD: 0000-0002-1659-8727
Institute formerly covered by a cooperation agreement with CERN. (CMS Collaboration)ORCID iD: 0000-0002-7452-8380
Number of Authors: 24122026 (English)In: Journal of High Energy Physics (JHEP), ISSN 1126-6708, E-ISSN 1029-8479, Vol. 2026, no 07, article id 54Article in journal (Refereed) Published
Abstract [en]

The jet mass of W bosons decaying to a quark-antiquark pair is measured in W+jets events from proton-proton collisions at a center-of-mass energy of 13 TeV. The data used were collected by the CMS experiment at the CERN LHC and correspond to an integrated luminosity of 138 fb−1. Hadronic decays of W bosons with high momenta produce strongly collimated decay products due to the large Lorentz boost, and are reconstructed as single large-radius jets. These jets have a characteristic substructure that is exploited to distinguish them from the large background of quark- and gluon-initiated jets. The jet mass is computed using the soft-drop algorithm, which suppresses soft wide-angle radiation that leads to a broadening of the jet mass distribution. For the first time, unfolded measurements are presented of the double-differential W+jets cross section as a function of the jet transverse momentum and soft-drop mass. From these distributions, the W boson mass is obtained, with a value of 80.83 ± 0.55 GeV in a scheme with mass-dependent width, achieving the smallest uncertainty available today from an all-jets final state at a hadron collider.

 

Place, publisher, year, edition, pages
Springer Nature , 2026. Vol. 2026, no 07, article id 54
Keywords [en]
Hadron-Hadron Scattering, Jets, Vector Boson Production
National Category
Subatomic Physics
Research subject
Machine Learning
Identifiers
URN: urn:nbn:se:ltu:diva-119477DOI: 10.1007/JHEP07(2026)054Scopus ID: 2-s2.0-105044614762OAI: oai:DiVA.org:ltu-119477DiVA, id: diva2:2093730
Note

For funding information, see: https://link.springer.com/article/10.1007/JHEP07(2026)054#Ack1;

Full text license: CC BY

Available from: 2026-08-19 Created: 2026-08-19 Last updated: 2026-08-21Bibliographically approved

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Dorigo, Tommaso

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