Jul 6 – 13, 2022
Bologna, Italy
Europe/Rome timezone

Measurement of lepton-jet correlation in deep-inelastic scattering with the H1 detector using machine learning for unfolding

Jul 9, 2022, 10:00 AM
Room 1 (Europa Auditorium)

Room 1 (Europa Auditorium)

Parallel Talk Strong interactions and Hadron Physics Strong interactions and Hadron Physics


YAOYUAN XU (Lawrence Berkeley National Laboratory)


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 a 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 $Q^2>150$ GeV$^2$ and the inelasticity $0.2< y< 0.7$.

[1] arxiv:2108.12376, accepted by PRL

In-person participation No

Primary authors

Stefan Schmitt (DESY) YAOYUAN XU (Lawrence Berkeley National Laboratory)

Presentation materials