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Preprint
Report number arXiv:2412.14092 ; DESY24-200
Title Machine Learning-Assisted Measurement of Lepton-Jet Azimuthal Angular Asymmetries in Deep-Inelastic Scattering at HERA
Author(s)

Andreev, V. (Higher Sch. of Economics, Moscow) ; Arratia, M. (UC, Riverside) ; Baghdasaryan, A. (Yerevan Phys. Inst.) ; Baty, A. (Illinois U., Chicago) ; Begzsuren, K. (Ulaanbaatar U.) ; Bolz, A. (DESY, Zeuthen) ; Boudry, V. (LLR, Palaiseau) ; Brandt, G. (Gottingen U., II. Phys. Inst.) ; Britzger, D. (Garching, Max Planck Inst., MPE) ; Buniatyan, A. (Birmingham U.) ; Bystritskaya, L. (Higher Sch. of Economics, Moscow) ; Campbell, A.J. (DESY, Zeuthen) ; Cantun Avila, K.B. (Merida, IPN) ; Cerny, K. (Palacky U.) ; Chekelian, V. (Garching, Max Planck Inst., MPE) ; Chen, Z. (Shandong U.) ; Contreras, J.G. (Merida, IPN) ; Cvach, J. (Prague, Inst. Phys.) ; Dainton, J.B. (Liverpool U.) ; Daum, K. (Wuppertal U.) ; Deshpande, A. (Stony Brook U. ; Brookhaven) ; Diaconu, C. (Marseille, CPPM) ; Drees, A. (Stony Brook U.) ; Eckerlin, G. (DESY, Zeuthen) ; Egli, S. (PSI, Villigen) ; Elsen, E. (DESY, Zeuthen) ; Favart, L. (Brussels U., IIHE) ; Fedotov, A. (Higher Sch. of Economics, Moscow) ; Feltesse, J. (IRFU, Saclay) ; Fleischer, M. (DESY, Zeuthen) ; Fomenko, A. (Higher Sch. of Economics, Moscow) ; Gal, C. (Stony Brook U.) ; Gayler, J. (DESY, Zeuthen) ; Goerlich, L. (Cracow, INP) ; Gogitidze, N. (DESY, Zeuthen) ; Gouzevitch, M. (Higher Sch. of Economics, Moscow) ; Grab, C. (Zurich, ETH) ; Greenshaw, T. (Liverpool U.) ; Grindhammer, G. (Garching, Max Planck Inst., MPE) ; Haidt, D. (DESY, Zeuthen) ; Henderson, R.C.W. (Lancaster U.) ; Hessler, J. (Garching, Max Planck Inst., MPE) ; Hladký, J. (Prague, Inst. Phys.) ; Hoffmann, D. (Marseille, CPPM) ; Horisberger, R. (PSI, Villigen) ; Hreus, T. (Zurich U.) ; Huber, F. (Heidelberg U.) ; Jacobs, P.M. (LBL, Berkeley) ; Jacquet, M. (IJCLab, Orsay) ; Janssen, T. (Brussels U., IIHE) ; Jung, A.W. (Purdue U.) ; Katzy, J. (DESY, Zeuthen) ; Kiesling, C. (Garching, Max Planck Inst., MPE) ; Klein, M. (Liverpool U.) ; Kleinwort, C. (DESY, Zeuthen) ; Klest, H.T. (Argonne, PHY) ; Kogler, R. (DESY, Zeuthen) ; Kostka, P. (Liverpool U.) ; Kretzschmar, J. (Liverpool U.) ; Krücker, D. (DESY, Zeuthen) ; Krüger, K. (DESY, Zeuthen) ; Landon, M.P.J. (Queen Mary, U. of London) ; Lange, W. (DESY, Zeuthen) ; Laycock, P. (Brookhaven) ; Lee, S.H. (Tennessee U.) ; Levonian, S. (DESY, Zeuthen) ; Li, W. (Rice U.) ; Lin, J. (Rice U.) ; Lipka, K. (DESY, Zeuthen) ; List, B. (DESY, Zeuthen) ; List, J. (DESY, Zeuthen) ; Lobodzinski, B. (Garching, Max Planck Inst., MPE) ; Long, O.R. (UC, Riverside) ; Malinovski, E. (Higher Sch. of Economics, Moscow) ; Martyn, H.-U. (Aachen, Tech. Hochsch.) ; Maxfield, S.J. (Liverpool U.) ; Mehta, A. (Liverpool U.) ; Meyer, A.B. (DESY, Zeuthen) ; Meyer, J. (DESY, Zeuthen) ; Mikocki, S. (Cracow, INP) ; Mikuni, V.M. (LBL, Berkeley) ; Mondal, M.M. (NISER, Jatni) ; Müller, K. (Zurich U.) ; Nachman, B. (LBL, Berkeley) ; Naumann, Th. (DESY, Zeuthen) ; Newman, P.R. (Birmingham U.) ; Niebuhr, C. (DESY, Zeuthen) ; Nowak, G. (Cracow, INP) ; Olsson, J.E. (DESY, Zeuthen) ; Ozerov, D. (Higher Sch. of Economics, Moscow) ; Park, S. (Stony Brook U.) ; Pascaud, C. (IJCLab, Orsay) ; Patel, G.D. (Liverpool U.) ; Perez, E. (CERN) ; Petrukhin, A. (Siegen U.) ; Picuric, I. (Montenegro U.) ; Pitzl, D. (DESY, Zeuthen) ; Radescu, V. (Heidelberg U.) ; Raicevic, N. (Montenegro U.) ; Ravdandorj, T. (Ulaanbaatar U.) ; Reichelt, D. (Durham U., IPPP) ; Reimer, P. (Prague, Inst. Phys.) ; Rizvi, E. (Queen Mary, U. of London) ; Robmann, P. (Zurich U.) ; Roosen, R. (Brussels U., IIHE) ; Rostovtsev, A. (Higher Sch. of Economics, Moscow) ; Rotaru, M. (Bucharest, IFIN-HH) ; Sankey, D.P.C. (Rutherford) ; Sauter, M. (Heidelberg U.) ; Sauvan, E. (Marseille, CPPM ; Annecy, LAPP) ; Schmitt, S. (DESY, Zeuthen) ; Schmookler, B.A. (Stony Brook U.) ; Schnell, G. (Basque U., Bilbao) ; Schoeffel, L. (IRFU, Saclay) ; Schöning, A. (Heidelberg U.) ; Sefkow, F. (DESY, Zeuthen) ; Shushkevich, S. (Garching, Max Planck Inst., MPE) ; Soloviev, Y. (DESY, Zeuthen) ; Sopicki, P. (Cracow, INP) ; South, D. (DESY, Zeuthen) ; Specka, A. (LLR, Palaiseau) ; Steder, M. (DESY, Zeuthen) ; Stella, B. (Rome III U. ; INFN, Rome3) ; Straumann, U. (Zurich U.) ; Sun, C. (Stony Brook U.) ; Sykora, T. (Charles U.) ; Thompson, P.D. (Birmingham U.) ; Acosta, F. Torales (LBL, Berkeley) ; Traynor, D. (Queen Mary, U. of London) ; Tseepeldorj, B. (Ulaanbaatar U.) ; Tu, Z. (Brookhaven) ; Tustin, G. (Stony Brook U.) ; Valkárová, A. (Charles U.) ; Vallée, C. (Marseille, CPPM) ; Van Mechelen, P. (Brussels U., IIHE) ; Wegener, D. (Dortmund U.) ; Wünsch, E. (DESY, Zeuthen) ; Žáček, J. (Charles U.) ; Zhang, J. (Shandong U.) ; Zhang, Z. (IJCLab, Orsay) ; Žlebčík, R. (Charles U.) ; Zohrabyan, H. (Yerevan Phys. Inst.) ; Zomer, F. (IJCLab, Orsay)

Document contact Contact: arXiv
Imprint 2024-12-18
Number of pages 15
Note 15 pages, 4 figures, 2 tables
Subject category nucl-ex ; Nuclear Physics - Experiment ; hep-ph ; Particle Physics - Phenomenology ; hep-ex ; Particle Physics - Experiment
Accelerator/Facility, Experiment DESY HERA H1
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, $\lvert \vec{P}_\perp \rvert $, is much larger than the total transverse momentum of the system, $\lvert \vec{q}_\perp \rvert$, the asymmetry between parallel and antiparallel configurations, $\vec{P}_\perp$ and $\vec{q}_\perp$, 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.
Other source Inspire
Copyright/License preprint: (License: arXiv nonexclusive-distrib 1.0)

 
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