A data-driven analysis of the heavy quark transport coefficient
Abstract
Using a Bayesian model-to-data analysis, we estimate the temperature dependence of the heavy quark diffusion coefficients by calibrating to the experimental data of D-meson RAA and v2 in AuAu collisions ($$\sqrt{s}$$NN = 200 GeV) and PbPb collisions ($$\sqrt{s}$$NN = 2.76 TeV) [1]. The spatial diffusion coefficient Ds2πT is found to be mostly constraint around (1.3 1.5)Tc and is compatible with lattice QCD calculations. Here we demonstrate the capability of our improved Langevin model to simultaneously describe the RAA and v2 at both RHIC and the LHC energies, as well as the feasibility to apply a Bayesian analysis to quantitatively study the heavy flavor transport in heavy-ion collisions.
- Authors:
-
- Duke Univ., Durham, NC (United States)
- Duke Univ., Durham, NC (United States); Univ. de Nantes, Nantes cedex (France)
- Wayne State Univ., Detroit, MI (United States)
- Publication Date:
- Research Org.:
- Duke Univ., Durham, NC (United States); Wayne State Univ., Detroit, MI (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC)
- OSTI Identifier:
- 1502387
- Grant/Contract Number:
- FG02-05ER41367; SC0013460
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Nuclear Physics. A
- Additional Journal Information:
- Journal Volume: 967; Journal Issue: C; Journal ID: ISSN 0375-9474
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 73 NUCLEAR PHYSICS AND RADIATION PHYSICS; heavy-ion collisions; heavy quarks; diffusion coefficient; Bayesian analysis
Citation Formats
Xu, Yingru, Nahrgang, Marlene, Bernhard, Jonah E., Cao, Shanshan, and Bass, Steffen A. A data-driven analysis of the heavy quark transport coefficient. United States: N. p., 2017.
Web. doi:10.1016/j.nuclphysa.2017.05.035.
Xu, Yingru, Nahrgang, Marlene, Bernhard, Jonah E., Cao, Shanshan, & Bass, Steffen A. A data-driven analysis of the heavy quark transport coefficient. United States. https://doi.org/10.1016/j.nuclphysa.2017.05.035
Xu, Yingru, Nahrgang, Marlene, Bernhard, Jonah E., Cao, Shanshan, and Bass, Steffen A. Mon .
"A data-driven analysis of the heavy quark transport coefficient". United States. https://doi.org/10.1016/j.nuclphysa.2017.05.035. https://www.osti.gov/servlets/purl/1502387.
@article{osti_1502387,
title = {A data-driven analysis of the heavy quark transport coefficient},
author = {Xu, Yingru and Nahrgang, Marlene and Bernhard, Jonah E. and Cao, Shanshan and Bass, Steffen A.},
abstractNote = {Using a Bayesian model-to-data analysis, we estimate the temperature dependence of the heavy quark diffusion coefficients by calibrating to the experimental data of D-meson RAA and v2 in AuAu collisions ($\sqrt{s}$NN = 200 GeV) and PbPb collisions ($\sqrt{s}$NN = 2.76 TeV) [1]. The spatial diffusion coefficient Ds2πT is found to be mostly constraint around (1.3 1.5)Tc and is compatible with lattice QCD calculations. Here we demonstrate the capability of our improved Langevin model to simultaneously describe the RAA and v2 at both RHIC and the LHC energies, as well as the feasibility to apply a Bayesian analysis to quantitatively study the heavy flavor transport in heavy-ion collisions.},
doi = {10.1016/j.nuclphysa.2017.05.035},
journal = {Nuclear Physics. A},
number = C,
volume = 967,
place = {United States},
year = {Mon Sep 25 00:00:00 EDT 2017},
month = {Mon Sep 25 00:00:00 EDT 2017}
}
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Cited by: 8 works
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Figures / Tables:
Fig. 1: (Color online) GP emulators prediction of 200 input samples randomly selected from the posterior distribution, and full Langevin calculation as taking the distribution median as parameters, compared with experimental data from STAR and ALICE [1].
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Works referenced in this record:
Heavy-flavour and quarkonium production in the LHC era: from proton–proton to heavy-ion collisions
journal, February 2016
- Andronic, A.; Arleo, F.; Arnaldi, R.
- The European Physical Journal C, Vol. 76, Issue 3
Moving Forward to Constrain the Shear Viscosity of QCD Matter
journal, May 2016
- Denicol, Gabriel; Monnai, Akihiko; Schenke, Björn
- Physical Review Letters, Vol. 116, Issue 21
Applying Bayesian parameter estimation to relativistic heavy-ion collisions: Simultaneous characterization of the initial state and quark-gluon plasma medium
journal, August 2016
- Bernhard, Jonah E.; Moreland, J. Scott; Bass, Steffen A.
- Physical Review C, Vol. 94, Issue 2
Quantifying properties of hot and dense QCD matter through systematic model-to-data comparison
journal, May 2015
- Bernhard, Jonah E.; Marcy, Peter W.; Coleman-Smith, Christopher E.
- Physical Review C, Vol. 91, Issue 5
Determining fundamental properties of matter created in ultrarelativistic heavy-ion collisions
journal, March 2014
- Novak, J.; Novak, K.; Pratt, S.
- Physical Review C, Vol. 89, Issue 3
Alternative ansatz to wounded nucleon and binary collision scaling in high-energy nuclear collisions
journal, July 2015
- Moreland, J. Scott; Bernhard, Jonah E.; Bass, Steffen A.
- Physical Review C, Vol. 92, Issue 1
Parton transport via transverse and longitudinal scattering in dense media
journal, February 2013
- Qin, Guang-You; Majumder, Abhijit
- Physical Review C, Vol. 87, Issue 2
Heavy-quark dynamics and hadronization in ultrarelativistic heavy-ion collisions: Collisional versus radiative energy loss
journal, October 2013
- Cao, Shanshan; Qin, Guang-You; Bass, Steffen A.
- Physical Review C, Vol. 88, Issue 4
Multiple Scattering, Parton Energy Loss, and Modified Fragmentation Functions in Deeply Inelastic Scattering
journal, October 2000
- Guo, Xiaofeng; Wang, Xin-Nian
- Physical Review Letters, Vol. 85, Issue 17
Heavy Quark Energy Loss in a Nuclear Medium
journal, August 2004
- Zhang, Ben-Wei; Wang, Enke; Wang, Xin-Nian
- Physical Review Letters, Vol. 93, Issue 7
Causal viscous hydrodynamics in 2 + 1 dimensions for relativistic heavy-ion collisions
journal, June 2008
- Song, Huichao; Heinz, Ulrich
- Physical Review C, Vol. 77, Issue 6
The iEBE-VISHNU code package for relativistic heavy-ion collisions
journal, February 2016
- Shen, Chun; Qiu, Zhi; Song, Huichao
- Computer Physics Communications, Vol. 199
Pre-equilibrium dynamics and heavy-ion observables
journal, December 2016
- Heinz, Ulrich; Liu, Jia
- Nuclear Physics A, Vol. 956
emcee : The MCMC Hammer
journal, March 2013
- Foreman-Mackey, Daniel; Hogg, David W.; Lang, Dustin
- Publications of the Astronomical Society of the Pacific, Vol. 125, Issue 925
Exploratory designs for computational experiments
journal, February 1995
- Morris, Max D.; Mitchell, Toby J.
- Journal of Statistical Planning and Inference, Vol. 43, Issue 3
Constraining the Equation of State of Superhadronic Matter from Heavy-Ion Collisions
journal, May 2015
- Pratt, Scott; Sangaline, Evan; Sorensen, Paul
- Physical Review Letters, Vol. 114, Issue 20
Charmonium properties in hot quenched lattice QCD
journal, July 2012
- Ding, H. -T.; Francis, A.; Kaczmarek, O.
- Physical Review D, Vol. 86, Issue 1
Meson as a Quantitative Probe of Diffusion and Hadronization in Nuclear Collisions
journal, March 2013
- He, Min; Fries, Rainer J.; Rapp, Ralf
- Physical Review Letters, Vol. 110, Issue 11
Toward an understanding of the single electron data measured at the BNL Relativistic Heavy Ion Collider (RHIC)
journal, July 2008
- Gossiaux, P. B.; Aichelin, J.
- Physical Review C, Vol. 78, Issue 1
Figures/Tables have been extracted from DOE-funded journal article accepted manuscripts.