Heavy quark diffusion coefficient during hydrodynamization : non-equilibrium vs. equilibrium
Peuron, J., Boguslavski, K., Kurkela, A., Lappi, T., & Lindenbauer, F. (2024). Heavy quark diffusion coefficient during hydrodynamization : non-equilibrium vs. equilibrium. In HardProbes2023: 11th International Conference on Hard and Electromagnetic Probes of High-Energy Nuclear Collisions (Article 091). Sissa Medialab. POS Proceedings of Science, 438. https://doi.org/10.22323/1.438.0091
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POS Proceedings of ScienceAuthors
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2024Copyright
© 2024 the Authors
We compute the heavy quark momentum diffusion coefficient using effective kinetic theory for a system going through bottom-up isotropization until approximate hydrodynamization. We find that when comparing the nonthermal diffusion coefficient to the thermal one for the same energy density, the observed deviations throughout the whole evolution are within 30% from the thermal value. For thermal systems matched to other quantities we observe considerably larger deviations. We also observe that the diffusion coefficient in the transverse direction dominates at large occupation number, whereas for an underoccupied system the longitudinal diffusion coefficient dominates. Similarly, we study the jet quenching parameter, where we obtain a smooth evolution connecting the large values of the glasma phase with the smaller values in the hydrodynamical regime.
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Sissa MedialabConference
International Conference on Hard and Electromagnetic Probes of High-Energy Nuclear CollisionsIs part of publication
HardProbes2023: 11th International Conference on Hard and Electromagnetic Probes of High-Energy Nuclear CollisionsISSN Search the Publication Forum
1824-8039Keywords
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https://converis.jyu.fi/converis/portal/detail/Publication/215980867
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Research Council of Finland; European CommissionFunding program(s)
Centre of Excellence, AoF; RIA Research and Innovation Action, H2020; ERC Advanced Grant; Academy Project, AoF![](/themes/JYX2/images/funders/erc_logo_thumb.jpg)
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The content of the publication reflects only the author’s view. The funder is not responsible for any use that may be made of the information it contains.
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This work is supported by the European Research Council, ERC-2018-ADG-835105 YoctoLHC. This work was also supported under the European Union’s Horizon 2020 research and innovation by the STRONG-2020 project (grant agreement No. 824093).The content of this article does not reflect the official opinion of the European Union and responsibility for the information and views expressed therein lies entirely with the authors. This work was funded in part by the Knut and Alice Wallenberg foundation, contract number 2017.0036. TL and JP have been supported by the Academy of Finland, by the Centre of Excellence in Quark Matter (project 346324) and project 321840. KB and FL would like to thank the Austrian Science Fund (FWF) for support under project P 34455, and FL is additionally supported by the Doctoral Program W1252-N27 Particles and Interactions. The authors wish to acknowledge CSC – IT Center for Science, Finland, for computational resources. We acknowledge grants of computer capacity from the Finnish Grid and Cloud Infrastructure (persistent identifier urn:nbn:fi:research infras-2016072533 ). The authors wish to acknowledge the Vienna Scientific Cluster (VSC) project 71444 for computational resources.![showless](/themes/JYX2//images/showless.png)
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