Measurements of inclusive and differential cross sections for top quark production in association with a Z boson in proton-proton collisions at s = 13 TeV
Özet
Measurements are presented of inclusive and differential cross sections for Z boson associated production of top quark pairs (tt¯Z) and single top quarks (tZq or tWZ). The data were recorded in proton-proton collisions at a center-of-mass energy of 13 TeV, corresponding to an integrated luminosity of 138 fb−1. Events with three or more leptons, electrons or muons, are selected and a multiclass deep neural network is used to separate three event categories, the tt¯Z and tWZ processes, the tZq process, and the backgrounds. A profile likelihood approach is used to unfold the differential cross sections, to account for systematic uncertainties, and to determine the correlations between the two signal categories in one global fit. The inclusive cross sections for a dilepton invariant mass between 70 and 110 GeV are measured to be 1.14 ± 0.07 pb for the sum of tt¯Z and tWZ, and 0.81 ± 0.10 pb for tZq, in good agreement with theoretical predictions. © The Author(s) 2025.
Anahtar Kelimeler
Tam Kayıt
| Alan | Değer | Dil |
|---|---|---|
| dc.contributor.author | Hayrapetyan, A. | |
| dc.contributor.author | Tumasyan, A. | |
| dc.contributor.author | Adam, W. | |
| dc.contributor.author | Andrejkovic, J.W. | |
| dc.contributor.author | Bergauer, T. | |
| dc.contributor.author | Chatterjee, S. | |
| dc.contributor.author | Damanakis, K. | |
| dc.contributor.author | Dragicevic, M. | |
| dc.contributor.author | Hussain, P.S. | |
| dc.contributor.author | Jeitler, M. | |
| dc.contributor.author | Krammer, N. | |
| dc.contributor.author | Li, A. | |
| dc.contributor.author | Liko, D. | |
| dc.contributor.author | Mikulec, I. | |
| dc.contributor.author | Schieck, J. | |
| dc.contributor.author | Schöfbeck, R. | |
| dc.contributor.author | Schwarz, D. | |
| dc.contributor.author | Sonawane, M. | |
| dc.contributor.author | Waltenberger, W. | |
| dc.contributor.author | Wulz, C.-E. | |
| dc.contributor.author | Janssen, T. | |
| dc.contributor.author | Van Laer, T. | |
| dc.contributor.author | Van Mechelen, P. | |
| dc.contributor.author | Breugelmans, N. | |
| dc.contributor.author | D’Hondt, J. | |
| dc.contributor.author | Dansana, S. | |
| dc.contributor.author | De Moor, A. | |
| dc.contributor.author | Delcourt, M. | |
| dc.contributor.author | Heyen, F. | |
| dc.contributor.author | Lowette, S. | |
| dc.contributor.author | Makarenko, I. | |
| dc.contributor.author | Müller, D. | |
| dc.contributor.author | Tavernier, S. | |
| dc.contributor.author | Tytgat, M. | |
| dc.contributor.author | Van Onsem, G.P. | |
| dc.contributor.author | Van Putte, S. | |
| dc.contributor.author | Vannerom, D. | |
| dc.contributor.author | Bilin, B. | |
| dc.contributor.author | Clerbaux, B. | |
| dc.contributor.author | Das, A.K. | |
| dc.contributor.author | De Lentdecker, G. | |
| dc.contributor.author | Evard, H. | |
| dc.contributor.author | Favart, L. | |
| dc.contributor.author | Gianneios, P. | |
| dc.contributor.author | Jaramillo, J. | |
| dc.contributor.author | Khalilzadeh, A. | |
| dc.contributor.author | Khan, F.A. | |
| dc.contributor.author | Lee, K. | |
| dc.contributor.author | Mahdavikhorrami, M. | |
| dc.contributor.author | Malara, A. | |
| dc.date.accessioned | 2026-10-18T20:26:32.329571987Z | |
| dc.date.available | 2026-10-18T20:26:32.329571987Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | Measurements are presented of inclusive and differential cross sections for Z boson associated production of top quark pairs (tt¯Z) and single top quarks (tZq or tWZ). The data were recorded in proton-proton collisions at a center-of-mass energy of 13 TeV, corresponding to an integrated luminosity of 138 fb−1. Events with three or more leptons, electrons or muons, are selected and a multiclass deep neural network is used to separate three event categories, the tt¯Z and tWZ processes, the tZq process, and the backgrounds. A profile likelihood approach is used to unfold the differential cross sections, to account for systematic uncertainties, and to determine the correlations between the two signal categories in one global fit. The inclusive cross sections for a dilepton invariant mass between 70 and 110 GeV are measured to be 1.14 ± 0.07 pb for the sum of tt¯Z and tWZ, and 0.81 ± 0.10 pb for tZq, in good agreement with theoretical predictions. © The Author(s) 2025. | |
| dc.description.sponsorship | Funding text 1: We congratulate our colleagues in the CERN accelerator departments for the excellent performance of the LHC and thank the technical and administrative staffs at CERN and at other CMS institutes for their contributions to the success of the CMS effort. In addition, we gratefully acknowledge the computing centers and personnel of the Worldwide LHC Computing Grid and other centers for delivering so effectively the computing infrastructure essential to our analyses. Finally, we acknowledge the enduring support for the construction and operation of the LHC, the CMS detector, and the supporting computing infrastructure provided by the following funding agencies: SC (Armenia), BMBWF and FWF (Austria); FNRS and FWO (Belgium); CNPq, CAPES, FAPERJ, FAPERGS, and FAPESP (Brazil); MES and BNSF (Bulgaria); CERN; CAS, MoST, and NSFC (China); MINCIENCIAS (Colombia); MSES and CSF (Croatia); RIF (Cyprus); SENESCYT (Ecuador); ERC PRG, RVTT3 and MoER TK202 (Estonia); Academy of Finland, MEC, and HIP (Finland); CEA and CNRS/IN2P3 (France); SRNSF (Georgia); BMBF, DFG, and HGF (Germany); GSRI (Greece); NKFIH (Hungary); DAE and DST (India); IPM (Iran); SFI (Ireland); INFN (Italy); MSIP and NRF (Republic of Korea); MES (Latvia); LMTLT (Lithuania); MOE and UM (Malaysia); BUAP, CINVESTAV, CONACYT, LNS, SEP, and UASLP-FAI (Mexico); MOS (Montenegro); MBIE (New Zealand); PAEC (Pakistan); MES and NSC (Poland); FCT (Portugal); MESTD (Serbia); MCIN/AEI and PCTI (Spain); MOSTR (Sri Lanka); Swiss Funding Agencies (Switzerland); MST (Taipei); MHESI and NSTDA (Thailand); TUBITAK and TENMAK (Turkey); NASU (Ukraine); STFC (United Kingdom); DOE and NSF (U.S.A.). ; Funding text 2: Individuals have received support from the Marie-Curie program and the European Research Council and Horizon 2020 Grant, contract Nos. 675440, 724704, 752730, 758316, 765710, 824093, 101115353, 101002207, and COST Action CA16108 (European Union); the Leventis Foundation; the Alfred P. Sloan Foundation; the Alexander von Humboldt Foundation; the Science Committee, project no. 22rl-037 (Armenia); the Belgian Federal Science Policy Office; the Fonds pour la Formation \u00E0 la Recherche dans l\u2019Industrie et dans l\u2019Agriculture (FRIA-Belgium); the F.R.S.-FNRS and FWO (Belgium) under the \u201CExcellence of Science \u2014 EOS\u201D \u2014 be.h project n. 30820817; the Beijing Municipal Science & Technology Commission, No. Z191100007219010 and Fundamental Research Funds for the Central Universities (China); the Ministry of Education, Youth and Sports (MEYS) of the Czech Republic; the Shota Rustaveli National Science Foundation, grant FR-22-985 (Georgia); the Deutsche Forschungsgemeinschaft (DFG), among others, under Germany\u2019s Excellence Strategy \u2014 EXC 2121 \u201CQuantum Universe\u201D \u2014 390833306, and under project number 400140256 \u2014 GRK2497; the Hellenic Foundation for Research and Innovation (HFRI), Project Number 2288 (Greece); the Hungarian Academy of Sciences, the New National Excellence Program \u2014 \u00DANKP, the NKFIH research grants K 131991, K 133046, K 138136, K 143460, K 143477, K 146913, K 146914, K 147048, 2020-2.2.1-ED-2021-00181, and TKP2021-NKTA-64 (Hungary); the Council of Science and Industrial Research, India; ICSC \u2014 National Research Center for High Performance Computing, Big Data and Quantum Computing and FAIR \u2014 Future Artificial Intelligence Research, funded by the NextGenerationEU program (Italy); the Latvian Council of Science; the Ministry of Education and Science, project no. 2022/WK/14, and the National Science Center, contracts Opus 2021/41/B/ST2/01369 and 2021/43/B/ST2/01552 (Poland); the Funda\u00E7\u00E3o para a Ci\u00EAncia e a Tecnologia, grant CEECIND/01334/2018 (Portugal); the National Priorities Research Program by Qatar National Research Fund; MCIN/AEI/10.13039/501100011033, ERDF \u201Ca way of making Europe\u201D, and the Programa Estatal de Fomento de la Investigaci\u00F3n Cient\u00EDfica y T\u00E9cnica de Excelencia Mar\u00EDa de Maeztu, grant MDM-2017-0765 and Programa Severo Ochoa del Principado de Asturias (Spain); the Chulalongkorn Academic into Its 2nd Century Project Advancement Project, and the National Science, Research and Innovation Fund via the Program Management Unit for Human Resources & Institutional Development, Research and Innovation, grant B39G670016 (Thailand); the Kavli Foundation; the Nvidia Corporation; the SuperMicro Corporation; the Welch Foundation, contract C-1845; and the Weston Havens Foundation (U.S.A.). | |
| dc.identifier.doi | 10.1007/jhep02(2025)177 | |
| dc.identifier.issn | 1029-8479 | |
| dc.identifier.issue | 2 | |
| dc.identifier.scopus | 2-s2.0-105011735393 | |
| dc.identifier.startpage | 177 | |
| dc.identifier.uri | https://rdlopen.rawdatalibrary.net/r/ebyu/11494 | |
| dc.identifier.volume | 2025 | |
| dc.language.iso | en | |
| dc.publisher | Springer Science and Business Media Deutschland GmbH | |
| dc.relation.ispartof | Journal of High Energy Physics | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.subject | Hadron-Hadron Scattering | |
| dc.subject | Particle and Resonance Production | |
| dc.subject | Top Physics | |
| dc.title | Measurements of inclusive and differential cross sections for top quark production in association with a Z boson in proton-proton collisions at s = 13 TeV | |
| dc.type | Article | |
| dspace.entity.type | Publication | |
| rdl.citation.scopus | 12 | |
| rdl.oa.status | gold | |
| rdl.source.index | SCOPUS |
