13–17 Jun 2022
Paradise Hotel Busan
Asia/Seoul timezone

Data-driven extraction of heavy quark diffusion in quark-gluon plasm

14 Jun 2022, 17:10
1h 50m
Metaverse

Metaverse

Poster Heavy-flavor and Quarkonia Poster

Speaker

Dr Shuang Li (China Three Gorges University)

Description

Heavy flavor production provides a unique probe for studying the transport properties of the quark-gluon plasma (QGP) formed in high-energy nuclear collisions. Experimental observables like the nuclear modification factor $R_{AA}$ and elliptic anisotropy $v_{2}$ of heavy flavor mesons are sensitive to the heavy quark diffusion coefficient. There now exist an extensive set of such measurements, which allow a data-driven extraction of this coefficient. In this work[1], we make such an attempt within our recently developed heavy quark transport modeling framework (Langevin-transport with Gluon Radiation, LGR[2-4]). A question of particular interest is the temperature dependence of the diffusion coefficient, for which we test a wide range of possibilities and draw constraints by comparing relevant charm meson data with model results. We find that a relatively strong increase of diffusion coefficient from crossover temperature $T_{c}$ toward high temperature is preferred by data.

Furthermore, We have made predictions for Bottom meson observables down to the low momentum region for further experimental tests[5]. It is found that our calculations can describe simultaneously $R_{AA}$ and $v_{2}$ data for the prompt and non-prompt $D^{0}$ mesons in central ($0-10\%$) and semi-central ($30-50\%$) Pb--Pb collisions at $\sqrt{s_{\rm NN}}=5.02~{\rm TeV}$. Recently, we employ a soft-hard factorized model, which combines a thermal perturbative description of soft scatterings and a perturbative QCD-based calculation for hard collisions, we check the energy and temperature dependence of the heavy quark diffusion coefficients in Langevin dynamics[6]. With the parameter-optimized model, we find that a small value of the spatial diffusion coefficient at transition temperature is preferred by data $2\pi TD_{s}(T_{c}) \simeq 6$.

[1] S. Li and J. F. Liao, Data-driven extraction of heavy-quark diffusion in quark-gluon plasma, Eur. Phys. J. C, 80, 671 (2020)
[2] S. Li, C. W. Wang, X. B. Yuan, and S. Q. Feng, Production of open-charm mesons in relativistic heavy-ion collisions, Phys. Rev. C, 98, 014909 (2018)
[3] S. Li and C. W. Wang, Charm-strange meson production in ultrarelativistic heavy-ion collisions at energies available at the CERN Large Hadron Collider, Phys. Rev. C, 98, 034914 (2018)
[4] S. Li, C. W. Wang, R. Z. Wan, and J. F. Liao, Probing the transport properties of quark-gluon plasma via heavy-flavor Boltzmann and Langevin dynamics, Phys. Rev. C, 99, 054909 (2019)
[5] S. Li, W. Xiong, and R. Z. Wan, Relativistic Langevin dynamics: charm versus beauty, Eur. Phys. J. C, 80, 1113 (2020)
[6] S. Li, F. Sun, W. Xie, W. Xiong, Langevin dynamics of heavy quarks in a soft-hard factorized approach, Eur. Phys. J. C, 81, 536 (2021)

Primary authors

Dr Shuang Li (China Three Gorges University) Dr Wei Xiong (China Three Gorges University) Dr Wei Xie (China Three Gorges University) Dr Fei Sun (China Three Gorges University)

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