TY  - CONF
AU  - Arratia, Miguel
TI  - Measurement of Lepton-Jet correlation in DIS with H1 at HERA, using machine learning for unfolding
M1  - PUBDB-2022-07891
PY  - 2022
AB  - 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.
T2  - XXIX International Workshop on Deep-Inelastic Scattering and Related Subjects
CY  - 2 May 2022 - 6 May 2022, Santiago de Compostela (Spain)
Y2  - 2 May 2022 - 6 May 2022
M2  - Santiago de Compostela, Spain
LB  - PUB:(DE-HGF)6
UR  - https://bib-pubdb1.desy.de/record/490656
ER  -