English

Enhancing Bayesian parameter estimation by adapting to multiple energy scales in RHIC and LHC heavy-ion collisions

High Energy Physics - Phenomenology 2024-11-05 v1 Nuclear Experiment Nuclear Theory

Abstract

Improved constraints on current model parameters in a heavy-ion collision model are established using the latest measurements from three distinct collision systems. Various observables are utilized from Au--Au collisions at sNN=200\sqrt{s_\mathrm{NN}}=200~GeV and Pb--Pb collisions at sNN=5.02\sqrt{s_\mathrm{NN}}=5.02~TeV and sNN=2.76\sqrt{s_\mathrm{NN}}=2.76~TeV. Additionally, the calibration of centrality is now carried out separately for all parametrizations. The inclusion of an Au--Au collision system with an order of magnitude lower beam energy, along with separate centrality calibration, suggests a preference for smaller values of nucleon width, minimum volume per nucleon, and free-streaming time. The results with the acquired \textit{maximum a posteriori} parameters show improved agreement with the data for the second-order flow coefficient, identified particle yields, and mean transverse momenta. This work contributes to a more comprehensive understanding of heavy-ion collision dynamics and sets the stage for future improvements in theoretical modeling and experimental measurements.

Keywords

Cite

@article{arxiv.2411.01932,
  title  = {Enhancing Bayesian parameter estimation by adapting to multiple energy scales in RHIC and LHC heavy-ion collisions},
  author = {Maxim Virta and Jasper Parkkila and Dong Jo Kim},
  journal= {arXiv preprint arXiv:2411.01932},
  year   = {2024}
}

Comments

17 pages, 19 figures