Machine Learning-Assisted Measurement of Lepton-Jet Azimuthal Angular Asymmetries in Deep-Inelastic Scattering at HERA
Abstract
In deep-inelastic positron-proton scattering, the lepton-jet azimuthal angular asymmetry is measured using data collected with the H1 detector at HERA. When the average transverse momentum of the lepton-jet system, , is much larger than the total transverse momentum of the system, , the asymmetry between parallel and antiparallel configurations, and , is expected to be generated by initial and final state soft gluon radiation and can be predicted using perturbation theory. Quantifying the angular properties of the asymmetry therefore provides an additional test of the strong force. Studying the asymmetry is important for future measurements of intrinsic asymmetries generated by the proton's constituents through Transverse Momentum Dependent (TMD) Parton Distribution Functions (PDFs), where this asymmetry constitutes a dominant background. Moments of the azimuthal asymmetries are measured using a machine learning method for unfolding that does not require binning.
Keywords
Cite
@article{arxiv.2412.14092,
title = {Machine Learning-Assisted Measurement of Lepton-Jet Azimuthal Angular Asymmetries in Deep-Inelastic Scattering at HERA},
author = {The H1 collaboration and V. Andreev and M. Arratia and A. Baghdasaryan and A. Baty and K. Begzsuren 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 J. Cvach and J. B. Dainton and K. Daum and A. Deshpande and C. Diaconu and A. Drees 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 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 W. Li and J. Lin and K. Lipka and B. List and J. List and B. Lobodzinski and O. R. Long 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 V. M. Mikuni and M. M. Mondal 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 V. Radescu and N. Raicevic and T. Ravdandorj and D. Reichelt 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 G. Schnell and L. Schoeffel and A. Schöning and F. Sefkow and S. Shushkevich and Y. Soloviev and P. Sopicki and D. South and A. Specka and M. Steder and B. Stella and U. Straumann and C. Sun and T. Sykora and P. D. Thompson and F. Torales Acosta and D. Traynor and B. Tseepeldorj and Z. Tu and G. Tustin 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:2412.14092},
year = {2024}
}
Comments
15 pages, 4 figures, 2 tables, updated affiliations and acknowledgements