New metric improving Bayesian calibration of a multistage approach studying hadron and inclusive jet suppression-Reference-Cited by-同舟云学术

New metric improving Bayesian calibration of a multistage approach studying hadron and inclusive jet suppression

Published:2024-06-06 Issue:6 Volume:109 Page:
ISSN:2469-9985
Container-title:Physical Review C
language:en
Short-container-title:Phys. Rev. C

Author:

Fan W.¹,Vujanovic G.²³,Bass S. A.¹,Angerami A.⁴,Arora R.⁵,Cao S.⁶²,Chen Y.⁷⁷,Dai T.¹,Du L.⁸,Ehlers R.⁹¹⁰,Elfner H.¹¹¹²¹³,Fries R. J.¹⁴¹⁴,Gale C.⁸,He Y.¹⁵¹⁶,Heffernan M.⁸,Heinz U.¹⁷,Jacak B. V.¹⁸¹⁹,Jacobs P. M.¹⁸¹⁹,Jeon S.⁸,Ji Y.¹,Kasper L.²⁰,Kordell M.¹⁴¹⁴,Kumar A.⁸²,Latessa J.²,Lee Y.-J.⁷⁷,Lemmon R.²¹,Liyanage D.¹⁷,Lopez A.²²,Luzum M.²²,Majumder A.²,Mak S.¹,Mankolli A.²⁰,Martin C.⁹,Mehryar H.²,Mengel T.⁹,Mulligan J.¹⁸¹⁹,Nattrass C.⁹,Norman J.²³,Paquet J.-F.¹,Parker C.¹⁴¹⁴,Putschke J. H.²,Roland G.⁷⁷,Schenke B.²⁴,Schwiebert L.²,Sengupta A.¹⁴¹⁴,Shen C.²²⁴,Sirimanna C.²,Soeder D.¹,Soltz R. A.²⁴,Soudi I.²,Strickland M.²⁵,Tachibana Y.²⁶²,Velkovska J.²⁰,Wang X.-N.²⁷¹⁸¹⁹,Zhao W.²,

Affiliation:

1. Duke University

2. Wayne State University

3. University of Regina

4. Lawrence Livermore National Laboratory

5. University Technology Solutions

6. Shandong University

7. Massachusetts Institute of Technology

8. McGill University

9. University of Tennessee

10. Oak Ridge National Laboratory

11. GSI Helmholtzzentrum für Schwerionenforschung

12. Goethe University

13. Frankfurt Institute for Advanced Studies

14. Texas A&M University

15. Institute of Quantum Matter

16. South China Normal University

17. The Ohio State University

18. University of California

19. Lawrence Berkeley National Laboratory

20. Vanderbilt University

21. Daresbury Laboratory

22. Universidade de São Paulo

23. University of Liverpool

24. Brookhaven National Laboratory

25. Kent State University

26. Akita International University

27. Central China Normal University

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.

Published by the American Physical Society

2024

Funder

National Science Foundation

U.S. Department of Energy

National Natural Science Foundation of China

Natural Sciences and Engineering Research Council of Canada

Fundação de Amparo à Pesquisa do Estado de São Paulo

Alexander von Humboldt-Stiftung

Publisher

American Physical Society (APS)

Link