Constraining through high- theory and data
May 18, 2023
14 pages
Published in:
- Phys.Rev.C 108 (2023) 4, 044907
- Published: Oct 24, 2023
e-Print:
- 2305.11318 [hep-ph]
DOI:
- 10.1103/PhysRevC.108.044907 (publication)
Citations per year
Abstract: (APS)
We study whether it is possible to use high- data/theory to constrain the temperature dependence of the shear viscosity over entropy density ratio of the matter formed in ultrarelativistic heavy-ion collisions at the BNL Relativistic Heavy Ion Collider (RHIC) and the CERN Large Hadron Collider (LHC). We use two approaches: (i) We calculate high- and flow coefficients , and assuming different of the fluid-dynamically evolving medium. (ii) We calculate the quenching strength () from our dynamical energy loss model and convert it to as a function of temperature. It turned out that the first approach cannot distinguish between different assumptions when the evolution is constrained to reproduce the low- data. In distinction, calculated using the second approach agrees surprisingly well with the inferred through state-of-the-art Bayesian analyses of the low- data even in the vicinity of , while providing much smaller uncertainties at high temperatures.Note:
- 25 pages, 9 figures, Version published in Physical Review C
- entropy: density: ratio
- temperature: high
- heavy ion: scattering
- energy loss: model
- transverse momentum: high
- CERN LHC Coll
- temperature dependence
- viscosity
- flow
- Brookhaven RHIC Coll
References(0)
Figures(9)
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