Jet quenching parameter in QCD kinetic theory
Boguslavski, K., Kurkela, A., Lappi, T., Lindenbauer, F., & Peuron, J. (2024). Jet quenching parameter in QCD kinetic theory. Physical Review D, 110(3), Article 034019. https://doi.org/10.1103/physrevd.110.034019
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Physical Review DDate
2024Copyright
© 2024 the Authors
We study the jet quenching parameter q^ in a non-equilibrium plasma using the QCD effective kinetic theory. We discuss subleading terms at large jet momentum p, show that our expression for q^ reproduces thermal results at small and large transverse momentum cutoffs for infinite p and construct an interpolation between these limits to be used in phenomenological applications. Using simple non-equilibrium distributions that model pertinent features of the bottom-up thermalization scenario, we analytically assess how anisotropy, under- or overoccupation affect the jet quenching parameter. Our work provides more details on the q^ formula used in our preceding work [Phys. Lett. B 850, 138525 (2024) ] and sets the stage for further numerical studies of jet momentum broadening in the initial stages of heavy-ion collisions from QCD kinetic theory.
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American Physical SocietyISSN Search the Publication Forum
2470-0010Publication in research information system
https://converis.jyu.fi/converis/portal/detail/Publication/233407431
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Related funder(s)
Research Council of Finland; European CommissionFunding program(s)
Academy Project, AoF; RIA Research and Innovation Action, H2020; ERC Advanced Grant; Centre of Excellence, AoF
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.
Additional information about funding
T. L. and J. P. are supported by the Academy of Finland, the Centre of Excellence in Quark Matter (Project 346324) and Project 321840 and by the European Research Council under Project ERC-2018-ADG-835105 YoctoLHC. This work was funded in part by the Knut and Alice Wallenberg foundation, Contract No. 2017.0036. This work was also supported under the European Union’s Horizon 2020 research and innovation by the STRONG-2020 project (Grant No. 824093). ...License
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