Measurement of Lepton-Jet Correlation in Deep-Inelastic Scattering with the H1 Detector Using Machine Learning for Unfolding
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 cons...
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| Veröffentlicht in: | Physical review letters 2022-04, Vol.128 (13), p.132002-132002, Article 132002 |
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| creator | Andreev, V Arratia, M Baghdasaryan, A Baty, A Begzsuren, K Belousov, A Bolz, A Boudry, V Brandt, G Britzger, D Buniatyan, A Bystritskaya, L Campbell, A J Cantun Avila, K B Cerny, K Chekelian, V Chen, Z Contreras, J G Cunqueiro Mendez, L Cvach, J Dainton, J B Daum, K Deshpande, A Diaconu, C Eckerlin, G Egli, S Elsen, E Favart, L Fedotov, A Feltesse, J Fleischer, M Fomenko, A Gal, C Gayler, J Goerlich, L Gogitidze, N Gouzevitch, M Grab, C Greenshaw, T Grindhammer, G Haidt, D Henderson, R C W Hessler, J Hladký, J Hoffmann, D Horisberger, R Hreus, T Huber, F Jacobs, P M Jacquet, M Janssen, T Jung, A W Jung, H Kapichine, M Katzy, J Kiesling, C Klein, M Kleinwort, C Klest, H T Kogler, R Kostka, P Kretzschmar, J Krücker, D Krüger, K Landon, M P J Lange, W Laycock, P Lee, S H Levonian, S Li, W Lin, J Lipka, K List, B List, J Lobodzinski, B Malinovski, E Martyn, H-U Maxfield, S J Mehta, A Meyer, A B Meyer, J Mikocki, S Mondal, M M Morozov, A Müller, K Nachman, B Naumann, Th Newman, P R Niebuhr, C Nowak, G Olsson, J E Ozerov, D Park, S Pascaud, C Patel, G D Perez, E Petrukhin, A Picuric, I Pitzl, D Polifka, R |
| description | 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. |
| doi_str_mv | 10.1103/PhysRevLett.128.132002 |
| format | Article |
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Collaboration</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><collection>OSTI.GOV</collection><jtitle>Physical review letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Andreev, V</au><au>Arratia, M</au><au>Baghdasaryan, A</au><au>Baty, A</au><au>Begzsuren, K</au><au>Belousov, A</au><au>Bolz, A</au><au>Boudry, V</au><au>Brandt, G</au><au>Britzger, D</au><au>Buniatyan, A</au><au>Bystritskaya, L</au><au>Campbell, A J</au><au>Cantun Avila, K B</au><au>Cerny, K</au><au>Chekelian, V</au><au>Chen, Z</au><au>Contreras, J G</au><au>Cunqueiro Mendez, L</au><au>Cvach, J</au><au>Dainton, J B</au><au>Daum, K</au><au>Deshpande, A</au><au>Diaconu, C</au><au>Eckerlin, G</au><au>Egli, S</au><au>Elsen, E</au><au>Favart, L</au><au>Fedotov, A</au><au>Feltesse, J</au><au>Fleischer, M</au><au>Fomenko, A</au><au>Gal, C</au><au>Gayler, J</au><au>Goerlich, L</au><au>Gogitidze, N</au><au>Gouzevitch, M</au><au>Grab, C</au><au>Greenshaw, T</au><au>Grindhammer, G</au><au>Haidt, D</au><au>Henderson, R C W</au><au>Hessler, J</au><au>Hladký, J</au><au>Hoffmann, D</au><au>Horisberger, R</au><au>Hreus, T</au><au>Huber, F</au><au>Jacobs, P M</au><au>Jacquet, M</au><au>Janssen, T</au><au>Jung, A W</au><au>Jung, H</au><au>Kapichine, M</au><au>Katzy, J</au><au>Kiesling, C</au><au>Klein, M</au><au>Kleinwort, C</au><au>Klest, H T</au><au>Kogler, R</au><au>Kostka, P</au><au>Kretzschmar, J</au><au>Krücker, D</au><au>Krüger, K</au><au>Landon, M P J</au><au>Lange, W</au><au>Laycock, P</au><au>Lee, S H</au><au>Levonian, S</au><au>Li, W</au><au>Lin, J</au><au>Lipka, K</au><au>List, B</au><au>List, J</au><au>Lobodzinski, B</au><au>Malinovski, E</au><au>Martyn, H-U</au><au>Maxfield, S J</au><au>Mehta, A</au><au>Meyer, A B</au><au>Meyer, J</au><au>Mikocki, S</au><au>Mondal, M M</au><au>Morozov, A</au><au>Müller, K</au><au>Nachman, B</au><au>Naumann, Th</au><au>Newman, P R</au><au>Niebuhr, C</au><au>Nowak, G</au><au>Olsson, J E</au><au>Ozerov, D</au><au>Park, S</au><au>Pascaud, C</au><au>Patel, G D</au><au>Perez, E</au><au>Petrukhin, A</au><au>Picuric, I</au><au>Pitzl, D</au><au>Polifka, R</au><aucorp>H1 Collaboration</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Measurement of Lepton-Jet Correlation in Deep-Inelastic Scattering with the H1 Detector Using Machine Learning for Unfolding</atitle><jtitle>Physical review letters</jtitle><addtitle>Phys Rev Lett</addtitle><date>2022-04-01</date><risdate>2022</risdate><volume>128</volume><issue>13</issue><spage>132002</spage><epage>132002</epage><pages>132002-132002</pages><artnum>132002</artnum><issn>0031-9007</issn><eissn>1079-7114</eissn><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.</abstract><cop>United States</cop><pub>American Physical Society</pub><pmid>35426724</pmid><doi>10.1103/PhysRevLett.128.132002</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-7031-7754</orcidid><orcidid>https://orcid.org/0000-0001-5913-0596</orcidid><orcidid>https://orcid.org/0000-0001-7759-7106</orcidid><orcidid>https://orcid.org/0000-0002-9919-0486</orcidid><orcidid>https://orcid.org/0000-0002-5524-880X</orcidid><orcidid>https://orcid.org/0000-0001-9238-2146</orcidid><orcidid>https://orcid.org/0000-0002-1558-4948</orcidid><orcidid>https://orcid.org/0000000183871853</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0031-9007 |
| ispartof | Physical review letters, 2022-04, Vol.128 (13), p.132002-132002, Article 132002 |
| issn | 0031-9007 1079-7114 |
| language | eng |
| recordid | cdi_osti_scitechconnect_1860422 |
| source | American Physical Society Journals; EZB-FREE-00999 freely available EZB journals |
| subjects | High Energy Physics - Experiment High Energy Physics - Phenomenology Physics |
| title | Measurement of Lepton-Jet Correlation in Deep-Inelastic Scattering with the H1 Detector Using Machine Learning for Unfolding |
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