W. Fan, G. Vujanovic, S. Bass, A. Angerami, R. Arora, S. Cao, Y. Chen, T. Dai, L. Du, R. Ehlers, H. Elfner, R. J. Fries, C. Gale, Y. He, M. Heffernan, U. Heinz, B. Jacak, P. Jacobs, S. Jeon, Y. Ji, L. Kasper, M. Kordell, A. Kumar, J. Latessa, Y. Lee, R. Lemmon, D. Liyanage, A. Lopez, M. Luzum, A. Majumder, S. Mak, A. Mankolli, C. Martin, Mehryar Habibi Roudkenar, T. Mengel, J. Mulligan, C. Nattrass, J. Norman, J. Paquet, C. Parker, J. Putschke, G. Roland, B. Schenke, L. Schwiebert, A. Sengupta, C. Shen, C. Sirimanna, D. Soeder, R. Soltz, I. Soudi, M. Strickland, Y. Tachibana, J. Velkovska, X.-N. Wang, W. Zhao
{"title":"改进研究强子和包容性射流抑制的多级方法的贝叶斯校准的新指标","authors":"W. Fan, G. Vujanovic, S. Bass, A. Angerami, R. Arora, S. Cao, Y. Chen, T. Dai, L. Du, R. Ehlers, H. Elfner, R. J. Fries, C. Gale, Y. He, M. Heffernan, U. Heinz, B. Jacak, P. Jacobs, S. Jeon, Y. Ji, L. Kasper, M. Kordell, A. Kumar, J. Latessa, Y. Lee, R. Lemmon, D. Liyanage, A. Lopez, M. Luzum, A. Majumder, S. Mak, A. Mankolli, C. Martin, Mehryar Habibi Roudkenar, T. Mengel, J. Mulligan, C. Nattrass, J. Norman, J. Paquet, C. Parker, J. Putschke, G. Roland, B. Schenke, L. Schwiebert, A. Sengupta, C. Shen, C. Sirimanna, D. Soeder, R. Soltz, I. Soudi, M. Strickland, Y. Tachibana, J. Velkovska, X.-N. Wang, W. Zhao","doi":"10.1103/physrevc.109.064903","DOIUrl":null,"url":null,"abstract":"We study parton energy-momentum exchange with the quark gluon plasma (QGP) within a multistage approach composed of in-medium Dokshitzer-Gribov-Lipatov-Altarelli-Parisi evolution at high virtuality, and (linearized) Boltzmann transport formalism at lower virtuality. This multistage simulation is then calibrated in comparison with high-pT charged hadrons, D mesons, and the inclusive jet nuclear modification factors, using Bayesian model-to-data comparison, to extract the virtuality-dependent transverse momentum broadening transport coefficient q̂. To facilitate this undertaking, we develop a quantitative metric for validating the Bayesian workflow, which is used to analyze the sensitivity of various model parameters to individual observables. The usefulness of this new metric in improving Bayesian model emulation is shown to be highly beneficial for future such analyses.\n \n \n \n \n Published by the American Physical Society\n 2024\n \n \n","PeriodicalId":48700,"journal":{"name":"Physical Review C","volume":null,"pages":null},"PeriodicalIF":3.2000,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"New metric improving Bayesian calibration of a multistage approach studying hadron and inclusive jet suppression\",\"authors\":\"W. Fan, G. Vujanovic, S. Bass, A. Angerami, R. Arora, S. Cao, Y. Chen, T. Dai, L. Du, R. Ehlers, H. Elfner, R. J. Fries, C. Gale, Y. He, M. Heffernan, U. Heinz, B. Jacak, P. Jacobs, S. Jeon, Y. Ji, L. Kasper, M. Kordell, A. Kumar, J. Latessa, Y. Lee, R. Lemmon, D. Liyanage, A. Lopez, M. Luzum, A. Majumder, S. Mak, A. Mankolli, C. Martin, Mehryar Habibi Roudkenar, T. Mengel, J. Mulligan, C. Nattrass, J. Norman, J. Paquet, C. Parker, J. Putschke, G. Roland, B. Schenke, L. Schwiebert, A. Sengupta, C. Shen, C. Sirimanna, D. Soeder, R. Soltz, I. Soudi, M. Strickland, Y. Tachibana, J. Velkovska, X.-N. Wang, W. Zhao\",\"doi\":\"10.1103/physrevc.109.064903\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We study parton energy-momentum exchange with the quark gluon plasma (QGP) within a multistage approach composed of in-medium Dokshitzer-Gribov-Lipatov-Altarelli-Parisi evolution at high virtuality, and (linearized) Boltzmann transport formalism at lower virtuality. This multistage simulation is then calibrated in comparison with high-pT charged hadrons, D mesons, and the inclusive jet nuclear modification factors, using Bayesian model-to-data comparison, to extract the virtuality-dependent transverse momentum broadening transport coefficient q̂. To facilitate this undertaking, we develop a quantitative metric for validating the Bayesian workflow, which is used to analyze the sensitivity of various model parameters to individual observables. The usefulness of this new metric in improving Bayesian model emulation is shown to be highly beneficial for future such analyses.\\n \\n \\n \\n \\n Published by the American Physical Society\\n 2024\\n \\n \\n\",\"PeriodicalId\":48700,\"journal\":{\"name\":\"Physical Review C\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2024-06-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Physical Review C\",\"FirstCategoryId\":\"101\",\"ListUrlMain\":\"https://doi.org/10.1103/physrevc.109.064903\",\"RegionNum\":2,\"RegionCategory\":\"物理与天体物理\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"PHYSICS, NUCLEAR\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physical Review C","FirstCategoryId":"101","ListUrlMain":"https://doi.org/10.1103/physrevc.109.064903","RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PHYSICS, NUCLEAR","Score":null,"Total":0}
New metric improving Bayesian calibration of a multistage approach studying hadron and inclusive jet suppression
We study parton energy-momentum exchange with the quark gluon plasma (QGP) within a multistage approach composed of in-medium Dokshitzer-Gribov-Lipatov-Altarelli-Parisi evolution at high virtuality, and (linearized) Boltzmann transport formalism at lower virtuality. This multistage simulation is then calibrated in comparison with high-pT charged hadrons, D mesons, and the inclusive jet nuclear modification factors, using Bayesian model-to-data comparison, to extract the virtuality-dependent transverse momentum broadening transport coefficient q̂. To facilitate this undertaking, we develop a quantitative metric for validating the Bayesian workflow, which is used to analyze the sensitivity of various model parameters to individual observables. The usefulness of this new metric in improving Bayesian model emulation is shown to be highly beneficial for future such analyses.
Published by the American Physical Society
2024
期刊介绍:
Physical Review C (PRC) is a leading journal in theoretical and experimental nuclear physics, publishing more than two-thirds of the research literature in the field.
PRC covers experimental and theoretical results in all aspects of nuclear physics, including:
Nucleon-nucleon interaction, few-body systems
Nuclear structure
Nuclear reactions
Relativistic nuclear collisions
Hadronic physics and QCD
Electroweak interaction, symmetries
Nuclear astrophysics