TY - JOUR
T1 - Chemical freeze-out parameters of net-kaons in heavy-ion collisions
AU - Alba, Paolo
AU - Bellwied, Rene
AU - Mantovani-Sarti, Valentina
AU - Noronha-Hostler, Jacquelyn
AU - Parotto, Paolo
AU - Portillo-Vazquez, Israel
AU - Ratti, Claudia
AU - Stafford, Jamie M.
N1 - Funding Information:
The authors gratefully acknowledge many fruitful discussions with Rene Bellwied, Fernando Flor, and Gabrielle Olinger. This material is based upon work supported by the National Science Foundation under Grant No. PHY-1654219 and by the U.S. Department of Energy, Office of Science, Office of Nuclear
Funding Information:
Physics, within the framework of the Beam Energy Scan Theory (BEST) Topical Collaboration. We also acknowledge the support from the Center of Advanced Computing and Data Systems at the University of Houston. P.P. also acknowledges support from the DFG grant SFB/TR55. J.N.H. acknowledges the support of the Alfred P. Sloan Foundation, support from the US-DOE Nuclear Science Grant No. de-sc0019175. R.B. acknowledges support from the US DOE Nuclear Physics Grant No. DE-FG02-07ER41521.
Publisher Copyright:
© 2020
PY - 2021/1
Y1 - 2021/1
N2 - We study chemical freeze-out parameters for heavy-ion collisions by performing two different thermal analyses. We analyze results from thermal fits for particle yields, as well as, net-charge fluctuations in order to characterize the chemical freeze-out. The Hadron Resonance Gas (HRG) model is employed for both methods. By separating the light hadrons from the strange hadrons in thermal fits, we study the proposed flavor hierarchy. For the net-charge fluctuations, we calculate the mean-over-variance ratio of the net-kaon fluctuations in the HRG model at the five highest energies of the RHIC Beam Energy Scan (BES) for different particle data lists. We compare these results with recent experimental data from the STAR collaboration in order to extract sets of chemical freeze-out parameters for each list. We focused on particle lists which differ largely in the number of resonant states. By doing so, our analysis determines the effect of the amount of resonances included in the HRG model on the freeze-out conditions. Our findings have potential impact on various other models in the field of relativistic heavy ion collisions.
AB - We study chemical freeze-out parameters for heavy-ion collisions by performing two different thermal analyses. We analyze results from thermal fits for particle yields, as well as, net-charge fluctuations in order to characterize the chemical freeze-out. The Hadron Resonance Gas (HRG) model is employed for both methods. By separating the light hadrons from the strange hadrons in thermal fits, we study the proposed flavor hierarchy. For the net-charge fluctuations, we calculate the mean-over-variance ratio of the net-kaon fluctuations in the HRG model at the five highest energies of the RHIC Beam Energy Scan (BES) for different particle data lists. We compare these results with recent experimental data from the STAR collaboration in order to extract sets of chemical freeze-out parameters for each list. We focused on particle lists which differ largely in the number of resonant states. By doing so, our analysis determines the effect of the amount of resonances included in the HRG model on the freeze-out conditions. Our findings have potential impact on various other models in the field of relativistic heavy ion collisions.
KW - Chemical freeze-out
KW - Heavy-ion collisions
KW - Quark-gluon plasma
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U2 - 10.1016/j.nuclphysa.2020.121865
DO - 10.1016/j.nuclphysa.2020.121865
M3 - Article
AN - SCOPUS:85097474958
SN - 0375-9474
VL - 1005
JO - Nuclear Physics A
JF - Nuclear Physics A
M1 - 121865
ER -