{"paper":{"title":"Revisiting Bayesian constraints on the transport coefficients of QCD","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["hep-ph"],"primary_cat":"nucl-th","authors_text":"A. Angerami, A. Kumar, A. Majumder, A. Silva, B. Schenke, B. V. Jacak, C. Gale, C. Nattrass, C. Park, C. Shen, C. Sirimanna, D. Everett, D. Oliinychenko, D. Pablos, E. Khalaj, G. Roland, G. Vujanovic, H. Elfner, J. Coleman, J.-F. Paquet, J. H. Putschke, J. Mulligan, K. Kauder, L. Cunqueiro, L. Du, L. G. Pang, L. Schwiebert, M. Heffernan, M. Kordell II, M. Luzum, M. McNelis, P. M. Jacobs, R. A. Soltz, R. Ehlers, R. Fries, R. L. Wolpert, S. A. Bass, S. Cao, S. Jeon, T. Dai, T. Luo, U. Heinz, W. Fan, W. Ke, X.-N. Wang, Y. Chen, Y. He, Y. Tachibana, Y. Xu, Z. Yang (JETSCAPE Collaboration)","submitted_at":"2020-02-13T04:23:44Z","abstract_excerpt":"Multistage models based on relativistic viscous hydrodynamics have proven successful in describing hadron measurements from relativistic nuclear collisions. These measurements are sensitive to the shear and the bulk viscosities of QCD and provide a unique opportunity to constrain these transport coefficients. Bayesian analyses can be used to obtain systematic constraints on the viscosities of QCD, through methodical model-to-data comparisons. In this manuscript, we discuss recent developments in Bayesian analyses of heavy ion collision data. We highlight the essential role of closure tests in "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2002.05337","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/2002.05337/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"}