Analysis of hadron yield data within hadron resonance gas model with multi-component eigenvolume corrections
Abstract
We analyze the sensitivity of thermal fits to heavy-ion hadron yield data of ALICE and NA49 collaborations to the systematic uncertainties in the hadron resonance gas (HRG) model related to the modeling of the eigenvolume interactions. We find a surprisingly large sensitivity in extraction of chemical freeze-out parameters to the assumptions regarding eigenvolumes of different hadrons. We additionally study the effect of including yields of light nuclei into the thermal fits to LHC data and find even larger sensitivity to the modeling of their eigenvolumes. The inclusion of light nuclei yields, thus, may lead to further destabilization of thermal fits. Our results show that modeling of eigenvolume interactions plays a crucial role in thermodynamics of HRG and that conclusions based on a non-interacting HRG are not unique.
Keywords
Cite
@article{arxiv.1610.02346,
title = {Analysis of hadron yield data within hadron resonance gas model with multi-component eigenvolume corrections},
author = {Volodymyr Vovchenko and Horst Stoecker},
journal= {arXiv preprint arXiv:1610.02346},
year = {2017}
}
Comments
4 pages, 2 figures. Contribution to the proceedings of the conference Strangeness in Quark Matter 2016 (SQM2016), Berkeley, CA, USA, June 27 - July 1, 2016