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Search for medium effects using jet axis decorrelation in inclusive jets from PbPb collisions at = 5.02 TeV

ArticleAçık Erişim

Özet

The jet axis decorrelation in inclusive jets is studied using lead-lead (PbPb) collisions at a center-of-mass energy per nucleon pair of 5.02 TeV. The jet axis decorrelation is defined as the angular difference between two definitions of the jet axis. It is obtained by applying two recombination schemes on all the constituents of a given jet reconstructed by the anti-kT sequential algorithm with a distance parameter of R = 0.4. The data set, corresponding to an integrated luminosity of 0.66 nb−1, was collected in 2018 with the CMS detector at the CERN LHC. The jet axis decorrelations are examined across collision centrality selections and intervals of jet transverse momentum. A centrality dependent evolution of the measured distributions is observed, with a progressive narrowing seen in more central events. This narrowing could result from medium-induced modification of the internal jet structure or reflect color charge effects in energy loss. This new measurement probes jet substructure in previously unexplored kinematic domains and show great promise for providing new insights on the color charge dependence of energy loss to jet-quenching models. © The Author(s) 2025.

Anahtar Kelimeler

Heavy Ion ExperimentsHeavy-Ion CollisionJetsQuark Gluon Plasma
RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/ebyu/10819Resmi atıflarda kullanılan kalıcı adres
DOI
https://doi.org/10.1007/jhep06(2025)120Yayıncı resmi DOI adresi
Tam Kayıt
AlanDeğerDil
dc.contributor.authorChekhovsky, V.
dc.contributor.authorHayrapetyan, A.
dc.contributor.authorMakarenko, V.
dc.contributor.authorTumasyan, A.
dc.contributor.authorAdam, W.
dc.contributor.authorAndrejkovic, J.W.
dc.contributor.authorBenato, L.
dc.contributor.authorBergauer, T.
dc.contributor.authorChatterjee, S.
dc.contributor.authorDamanakis, K.
dc.contributor.authorDragicevic, M.
dc.contributor.authorHussain, P.S.
dc.contributor.authorJeitler, M.
dc.contributor.authorKrammer, N.
dc.contributor.authorLi, A.
dc.contributor.authorLiko, D.
dc.contributor.authorMikulec, I.
dc.contributor.authorSchieck, J.
dc.contributor.authorSchöfbeck, R.
dc.contributor.authorSchwarz, D.
dc.contributor.authorSonawane, M.
dc.contributor.authorWaltenberger, W.
dc.contributor.authorWulz, C.-E.
dc.contributor.authorJanssen, T.
dc.contributor.authorKwon, H.
dc.contributor.authorVan Laer, T.
dc.contributor.authorVan Mechelen, P.
dc.contributor.authorBreugelmans, N.
dc.contributor.authorD’Hondt, J.
dc.contributor.authorDansana, S.
dc.contributor.authorDe Moor, A.
dc.contributor.authorDelcourt, M.
dc.contributor.authorHeyen, F.
dc.contributor.authorHong, Y.
dc.contributor.authorLowette, S.
dc.contributor.authorMakarenko, I.
dc.contributor.authorMüller, D.
dc.contributor.authorTavernier, S.
dc.contributor.authorTytgat, M.
dc.contributor.authorVan Onsem, G.P.
dc.contributor.authorVan Putte, S.
dc.contributor.authorVannerom, D.
dc.contributor.authorBilin, B.
dc.contributor.authorClerbaux, B.
dc.contributor.authorDas, A.K.
dc.contributor.authorDe Bruyn, I.
dc.contributor.authorDe Lentdecker, G.
dc.contributor.authorEvard, H.
dc.contributor.authorFavart, L.
dc.contributor.authorGianneios, P.
dc.date.accessioned2026-10-18T20:25:57.073600150Z
dc.date.available2026-10-18T20:25:57.073600150Z
dc.date.issued2025
dc.description.abstractThe jet axis decorrelation in inclusive jets is studied using lead-lead (PbPb) collisions at a center-of-mass energy per nucleon pair of 5.02 TeV. The jet axis decorrelation is defined as the angular difference between two definitions of the jet axis. It is obtained by applying two recombination schemes on all the constituents of a given jet reconstructed by the anti-kT sequential algorithm with a distance parameter of R = 0.4. The data set, corresponding to an integrated luminosity of 0.66 nb−1, was collected in 2018 with the CMS detector at the CERN LHC. The jet axis decorrelations are examined across collision centrality selections and intervals of jet transverse momentum. A centrality dependent evolution of the measured distributions is observed, with a progressive narrowing seen in more central events. This narrowing could result from medium-induced modification of the internal jet structure or reflect color charge effects in energy loss. This new measurement probes jet substructure in previously unexplored kinematic domains and show great promise for providing new insights on the color charge dependence of energy loss to jet-quenching models. © The Author(s) 2025.
dc.description.sponsorshipFunding 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); MICIU/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 Fonds pour la Formation \u00E0 la Recherche dans l\u2019Industrie et dans l\u2019Agriculture (FRIA-Belgium); 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, TKP2021-NKTA-64, and 2021-4.1.2-NEMZ_KI-2024-00036 (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; MICIU/AEI/10.13039/501100011033, ERDF/EU, \u201CEuropean Union NextGenerationEU/PRTR\u201D, 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.doi10.1007/jhep06(2025)120
dc.identifier.issn1029-8479
dc.identifier.issue6
dc.identifier.scopus2-s2.0-105012488211
dc.identifier.startpage120
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/ebyu/10819
dc.identifier.volume2025
dc.language.isoen
dc.publisherSpringer Science and Business Media Deutschland GmbH
dc.relation.ispartofJournal of High Energy Physics
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectHeavy Ion Experiments
dc.subjectHeavy-Ion Collision
dc.subjectJets
dc.subjectQuark Gluon Plasma
dc.titleSearch for medium effects using jet axis decorrelation in inclusive jets from PbPb collisions at = 5.02 TeV
dc.typeArticle
dspace.entity.typePublication
rdl.citation.scopus2
rdl.oa.statusgold
rdl.source.indexSCOPUS