Measurement of Lepton-Jet Correlation in Deep-Inelastic Scattering with the H1 Detector Using Machine Learning for Unfolding

(H1 Collaboration)

doi:10.1103/PhysRevLett.128.132002

Measurement of Lepton-Jet Correlation in Deep-Inelastic Scattering with the H1 Detector Using Machine Learning for Unfolding

(H1 Collaboration)

P.N. Lebedev Physical Institute of the Russian Academy of Sciences
University of California, Riverside
Yerevan Physics Institute
Rice University
Institute of Physics and Technology of the Mongolian Academy of Sciences
c/o DESY
Georg-August-Universität Göttingen
Max-Planck-Institut für Physik
University of Birmingham
Institute for Theoretical and Experimental Physics
Dept. Fis. Ap. CINVESTAV
Palacky University Olomouc
Shandong University
Oak Ridge National Laboratory
Institute of Physics of the Czech Academy of Sciences
University of Liverpool
Bergische Universität Gesamthochschule Wuppertal
Stony Brook University
Aix Marseille Université
Paul Scherrer Institut
Université Libre de Bruxelles
Universite Paris-Saclay
Institute for Nuclear Physics
IGFL, Université de Lyon, Université Lyon 1
ETH Zurich
Lancaster University
Physik-Institut der Universität Zürich
University of Heidelberg
Ernest Orlando Lawrence Berkeley National Laboratory
Université Paris-Saclay
University of Antwerp
Purdue University
Joint Institute for Nuclear Research, Dubna
Queen Mary University of London
Brookhaven National Laboratory
University of Michigan, Ann Arbor
RWTH Aachen University
European Organization for Nuclear Research
University of Montenegro
Charles University
University of Oxford
Institute for Information Transmission Problems (RAS)
Horia Hulubei National Institute of Physics and Nuclear Engineering
CCLRC Rutherford Appleton Laboratory
Université Savoie Mont Blanc
Moscow State University
University Roma Tre
Ulaanbaatar University
University of Dortmund

Résultats de recherche: Contribution à un journal › Article › Revue par des pairs

54 Citations (Scopus)

Résumé

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 (multifold), which considers eight observables simultaneously in this first application. The unfolded cross sections are compared with calculations performed within the context of collinear or transverse-momentum-dependent factorization in quantum chromodynamics as well as Monte Carlo event generators.

langue originale	Anglais
Numéro d'article	132002
journal	Physical Review Letters
Volume	128
Numéro de publication	13
Les DOIs	https://doi.org/10.1103/PhysRevLett.128.132002
état	Publié - 1 avr. 2022

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10.1103/PhysRevLett.128.132002

Contient cette citation

@article{91207121c1cc4be4a578bd7f401624ae,

title = "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 (multifold), which considers eight observables simultaneously in this first application. The unfolded cross sections are compared with calculations performed within the context of collinear or transverse-momentum-dependent factorization in quantum chromodynamics as well as Monte Carlo event generators.",

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 Campbell, \{A. J.\} and \{Cantun Avila\}, \{K. B.\} and K. Cerny and V. Chekelian and Z. Chen and Contreras, \{J. G.\} and \{Cunqueiro Mendez\}, L. and J. Cvach and Dainton, \{J. B.\} 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 Henderson, \{R. C.W.\} and J. Hessler and J. Hladk{\'y} and D. Hoffmann and R. Horisberger and T. Hreus and F. Huber and Jacobs, \{P. M.\} and A. Specka",

note = "Publisher Copyright: {\textcopyright} 2022 authors. Published by the American Physical Society.",

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month = apr,

day = "1",

doi = "10.1103/PhysRevLett.128.132002",

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volume = "128",

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T1 - Measurement of Lepton-Jet Correlation in Deep-Inelastic Scattering with the H1 Detector Using Machine Learning for Unfolding

AU - (H1 Collaboration)

AU - Andreev, V.

AU - Arratia, M.

AU - Baghdasaryan, A.

AU - Baty, A.

AU - Begzsuren, K.

AU - Belousov, A.

AU - Bolz, A.

AU - Boudry, V.

AU - Brandt, G.

AU - Britzger, D.

AU - Buniatyan, A.

AU - Bystritskaya, L.

AU - Campbell, A. J.

AU - Cantun Avila, K. B.

AU - Cerny, K.

AU - Chekelian, V.

AU - Chen, Z.

AU - Contreras, J. G.

AU - Cunqueiro Mendez, L.

AU - Cvach, J.

AU - Dainton, J. B.

AU - Daum, K.

AU - Deshpande, A.

AU - Diaconu, C.

AU - Eckerlin, G.

AU - Egli, S.

AU - Elsen, E.

AU - Favart, L.

AU - Fedotov, A.

AU - Feltesse, J.

AU - Fleischer, M.

AU - Fomenko, A.

AU - Gal, C.

AU - Gayler, J.

AU - Goerlich, L.

AU - Gogitidze, N.

AU - Gouzevitch, M.

AU - Grab, C.

AU - Greenshaw, T.

AU - Grindhammer, G.

AU - Haidt, D.

AU - Henderson, R. C.W.

AU - Hessler, J.

AU - Hladký, J.

AU - Hoffmann, D.

AU - Horisberger, R.

AU - Hreus, T.

AU - Huber, F.

AU - Jacobs, P. M.

AU - Specka, A.

PY - 2022/4/1

Y1 - 2022/4/1

N2 - 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 (multifold), which considers eight observables simultaneously in this first application. The unfolded cross sections are compared with calculations performed within the context of collinear or transverse-momentum-dependent factorization in quantum chromodynamics as well as Monte Carlo event generators.

AB - 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 (multifold), which considers eight observables simultaneously in this first application. The unfolded cross sections are compared with calculations performed within the context of collinear or transverse-momentum-dependent factorization in quantum chromodynamics as well as Monte Carlo event generators.

U2 - 10.1103/PhysRevLett.128.132002

DO - 10.1103/PhysRevLett.128.132002

M3 - Article

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AN - SCOPUS:85127922635

SN - 0031-9007

VL - 128

JO - Physical Review Letters

JF - Physical Review Letters

IS - 13

M1 - 132002

ER -

Measurement of Lepton-Jet Correlation in Deep-Inelastic Scattering with the H1 Detector Using Machine Learning for Unfolding

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