Measurement of lepton-jet correlation in deep-inelastic scattering with the H1 detector using machine learning for unfolding
Abstract
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 OmniFold, which considers eight observables simultaneously in this first application. The unfolded cross sections are compared to calculations performed within the context of collinear or transverse-momentum-dependent (TMD) factorization in Quantum Chromodynamics (QCD) as well as Monte Carlo event generators. The measurement probes a wide range of QCD phenomena, including TMD parton distribution functions and their evolution with energy in so far unexplored kinematic regions.
Keywords
Cite
@article{arxiv.2108.12376,
title = {Measurement of lepton-jet correlation in deep-inelastic scattering with the H1 detector using machine learning for unfolding},
author = {H1 Collaboration and V. Andreev and M. Arratia and A. Baghdasaryan and A. Baty and K. Begzsuren and A. Belousov and A. Bolz and V. Boudry and G. Brandt and D. Britzger and A. Buniatyan and L. Bystritskaya and A. J. Campbell and K. B. Cantun Avila and K. Cerny and V. Chekelian and Z. Chen and J. G. Contreras and L. Cunqueiro Mendez and J. Cvach and J. B. Dainton and K. Daum and A. Deshpande and C. Diaconu and G. Eckerlin and S. Egli and E. Elsen and L. Favart and A. Fedotov and J. Feltesse and M. Fleischer and A. Fomenko and C. Gal and J. Gayler and L. Goerlich and N. Gogitidze and M. Gouzevitch and C. Grab and T. Greenshaw and G. Grindhammer and D. Haidt and R. C. W. Henderson and J. Hessler and J. Hladký and D. Hoffmann and R. Horisberger and T. Hreus and F. Huber and P. M. Jacobs and M. Jacquet and T. Janssen and A. W. Jung and H. Jung and M. Kapichine and J. Katzy and C. Kiesling and M. Klein and C. Kleinwort and H. T. Klest and R. Kogler and P. Kostka and J. Kretzschmar and D. Krücker and K. Krüger and M. P. J. Landon and W. Lange and P. Laycock and S. H. Lee and S. Levonian and J. Lin and K. Lipka and B. List and J. List and W. Li and B. Lobodzinski and E. Malinovski and H. -U. Martyn and S. J. Maxfield and A. Mehta and A. B. Meyer and J. Meyer and S. Mikocki and M. M. Mondal and A. Morozov and K. Müller and B. Nachman and Th. Naumann and P. R. Newman and C. Niebuhr and G. Nowak and J. E. Olsson and D. Ozerov and S. Park and C. Pascaud and G. D. Patel and E. Perez and A. Petrukhin and I. Picuric and D. Pitzl and R. Polifka and S. Preins and V. Radescu and N. Raicevic and T. Ravdandorj and P. Reimer and E. Rizvi and P. Robmann and R. Roosen and A. Rostovtsev and M. Rotaru and D. P. C. Sankey and M. Sauter and E. Sauvan and S. Schmitt and B. A. Schmookler and L. Schoeffel and A. Schöning and F. Sefkow and S. Shushkevich and Y. Soloviev and P. Sopicki and D. South and V. Spaskov and A. Specka and M. Steder and B. Stella and U. Straumann and C. Sun and T. Sykora and P. D. Thompson and D. Traynor and B. Tseepeldorj and Z. Tu and A. Valkárová and C. Vallée and P. Van Mechelen and D. Wegener and E. Wünsch and J. Žáček and J. Zhang and Z. Zhang and R. Žlebčík and H. Zohrabyan and F. Zomer},
journal= {arXiv preprint arXiv:2108.12376},
year = {2022}
}
Comments
17 pages, 7 figures, 4 tables, version accepted by PRL