{"paper":{"title":"Measuring jet quenching with a Bayesian inference analysis of hadron and jet data by JETSCAPE","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["nucl-ex","nucl-th"],"primary_cat":"hep-ph","authors_text":"A. Angerami, A. Kumar, A. Majumder, A. Mankolli, A. Sengupta, B. Schenke, B. V. Jacak, C. Gale, C. Martin, C. Nattrass, C. Parker, C. Shen, C. Sirimanna, D. Liyanage, D. Soeder, G. Roland, G. Vujanovic, H. Elfner, H. Mehryar, H. Roch, I. Soudi, J.-F. Paquet, J. H. Putschke, J. Latessa, J. Mulligan, J. Velkovska, L. Du, L. Kasper, L. Schwiebert, M. Kordell II, M. Luzum, M. Strickland, P. M. Jacobs, R. Arora, R. A. Soltz, R. Ehlers, R. J. Fries, R. Kunnawalkam-Elayavalli, S. A. Bass, S. Cao, S. Jeon, S. Lee, S. Mak, T. Mengel, U. Heinz, W. Fan, W. Zhao (JETSCAPE Collaboration), X.-N. Wang, Y. Chen, Y. He, Y. Ji, Y.-J. Lee, Y. Tachibana","submitted_at":"2024-01-08T19:27:36Z","abstract_excerpt":"The JETSCAPE Collaboration reports the first multi-messenger study of the QGP jet transport parameter $\\hat{q}$ using Bayesian inference, incorporating all available hadron and jet inclusive yield and jet substructure data from RHIC and the LHC. The theoretical model utilizes virtuality-dependent in-medium partonic energy loss coupled to a detailed dynamical model of QGP evolution. Tension is observed when constraining $\\hat{q}$ for different kinematic cuts of the inclusive hadron data. The addition of substructure data is shown to improve the constraint on $\\hat{q}$, without inducing tension "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.04201","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2401.04201/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}