Measurement of Lepton-Jet Correlation in Deep-Inelastic Scattering with the H1 Detector Using Machine Learning for Unfolding.
Journal
Physical review letters
ISSN: 1079-7114
Titre abrégé: Phys Rev Lett
Pays: United States
ID NLM: 0401141
Informations de publication
Date de publication:
01 Apr 2022
01 Apr 2022
Historique:
received:
30
08
2021
revised:
20
12
2021
accepted:
25
02
2022
entrez:
15
4
2022
pubmed:
16
4
2022
medline:
16
4
2022
Statut:
ppublish
Résumé
The first measurement of lepton-jet momentum imbalance and azimuthal correlation in lepton-proton scattering at high momentum transfer is presented. These data, taken with the H1 detector at HERA, are corrected for detector effects using an unbinned machine learning algorithm (multifold), which considers eight observables simultaneously in this first application. The unfolded cross sections are compared with calculations performed within the context of collinear or transverse-momentum-dependent factorization in quantum chromodynamics as well as Monte Carlo event generators.
Identifiants
pubmed: 35426724
doi: 10.1103/PhysRevLett.128.132002
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM