Conference Presentation

PUBDB-2022-07891

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Measurement of Lepton-Jet correlation in DIS with H1 at HERA, using machine learning for unfolding

Arratia, M. (Corresponding author)Extern*

2022

Abstract: The lepton-jet momentum imbalance in deep inelastic scattering events offers a useful set of observables for unifying collinear and transverse-momentum-dependent frameworks for describing high energy Quantum Chromodynamics interactions. A recent first measurement was made [1] of this imbalance in the laboratory frame using positron-proton collision data recordedf with the H1 experiment at HERA in the years 2006-2007. Using a new machine learning method, the measurement was performed simultaneously and unbinned in eight dimensions. The first results were presented as as set of four one-dimensional projections onto key observables. This work extends over those results by making use of the multi-differential nature of the unfolded result. In particular, distributions of lepton-jet correlation observables are studied as a function of the kinematic properties of the scattering process, i.e. as a function of the momentum transfer Q2>150 GeV2 and the inelasticity 0.2<y<0.7.

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Contributing Institute(s):

1. H1 Kollaboration (H1)

Research Program(s):

1. 899 - ohne Topic (POF4-899) (POF4-899)

Experiment(s):

1. Facility (machine) HERA

Appears in the scientific report 2022

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