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dc.contributor.authorRoland, Gunther
dc.date.accessioned2022-04-27T15:24:01Z
dc.date.available2022-04-27T15:24:01Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/1721.1/142128
dc.description.abstract© 2020 American Physical Society. The JETSCAPE framework is a modular and versatile Monte Carlo software package for the simulation of high energy nuclear collisions. In this work we present a new tune of JETSCAPE, called PP19, and validate it by comparison to jet-based measurements in p+p collisions, including inclusive single jet cross sections, jet shape observables, fragmentation functions, charged hadron cross sections, and dijet mass cross sections. These observables in p+p collisions provide the baseline for their counterparts in nuclear collisions. Quantifying the level of agreement of JETSCAPE results with p+p data is thus necessary for meaningful applications of JETSCAPE to A+A collisions. The calculations use the JETSCAPE PP19 tune, defined in this paper, based on version 1.0 of the JETSCAPE framework. For the observables discussed in this work calculations using JETSCAPE PP19 agree with data over a wide range of collision energies at a level comparable to standard Monte Carlo codes. These results demonstrate the physics capabilities of the JETSCAPE framework and provide benchmarks for JETSCAPE users.en_US
dc.language.isoen
dc.publisherAmerican Physical Society (APS)en_US
dc.relation.isversionof10.1103/PHYSREVC.102.054906en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceAPSen_US
dc.titleJETSCAPE framework: p + p resultsen_US
dc.typeArticleen_US
dc.identifier.citationRoland, Gunther. 2020. "JETSCAPE framework: p + p results." Physical Review C, 102 (5).
dc.contributor.departmentMassachusetts Institute of Technology. Laboratory for Nuclear Science
dc.contributor.departmentMassachusetts Institute of Technology. Department of Physics
dc.relation.journalPhysical Review Cen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2022-04-27T15:21:20Z
dspace.orderedauthorsKumar, A; Tachibana, Y; Pablos, D; Sirimanna, C; Fries, RJ; Majumder, A; Angerami, A; Bass, SA; Cao, S; Chen, Y; Coleman, J; Cunqueiro, L; Dai, T; Du, L; Elfner, H; Everett, D; Fan, W; Gale, C; He, Y; Heinz, U; Jacak, BV; Jacobs, PM; Jeon, S; Kauder, K; Khalaj, E; Ke, W; Kordell, M; Luo, T; McNelis, M; Mulligan, J; Nattrass, C; Oliinychenko, D; Pang, L-G; Park, C; Paquet, J-F; Putschke, JH; Roland, G; Schenke, B; Schwiebert, L; Shen, C; Soltz, RA; Vujanovic, G; Wang, X-N; Wolpert, RL; Xu, Y; Yang, Zen_US
dspace.date.submission2022-04-27T15:21:21Z
mit.journal.volume102en_US
mit.journal.issue5en_US
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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