Centrality dependence of chemical freeze-out parameters from net-proton and net-charge fluctuations using a hadron resonance gas model

Rama Prasad Adak, Supriya Das, Sanjay K. Ghosh, Rajarshi Ray, and Subhasis Samanta
Phys. Rev. C 96, 014902 – Published 6 July 2017

Abstract

We estimate chemical freeze-out parameters in Hadron Resonance Gas (HRG) and Excluded Volume HRG (EVHRG) models by fitting the experimental information of net-proton and net-charge fluctuations measured in Au + Au collisions by the STAR Collaboration at the BNL Relativistic Heavy Ion Collider (RHIC). We observe that chemical freeze-out parameters obtained from lower and higher order fluctuations are almost the same for sNN>27 GeV, but tend to deviate from each other at lower sNN. Moreover, these separations increase with decrease of sNN, and for a fixed sNN increase towards central collisions. Furthermore, we observe an approximate scaling behavior of (μB/T)/(μB/T)central with (Npart)/(Npart)central for the parameters estimated from lower order fluctuations for 11.5sNN200 GeV. Scaling is violated for the parameters estimated from higher order fluctuations for sNN=11.5 and 19.6 GeV. It is observed that the chemical freeze-out parameter, which can describe σ2/M of net protons very well in all energies and centralities, cannot describe the sσ equally well, and vice versa.

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  • Received 20 September 2016
  • Revised 26 April 2017

DOI:https://doi.org/10.1103/PhysRevC.96.014902

©2017 American Physical Society

Physics Subject Headings (PhySH)

Nuclear Physics

Authors & Affiliations

Rama Prasad Adak, Supriya Das, Sanjay K. Ghosh, Rajarshi Ray, and Subhasis Samanta*

  • Center for Astroparticle Physics & Space Science, Bose Institute, Block-EN, Sector-V, Salt Lake, Kolkata 700091, India and Department of Physics, Bose Institute, 93/1, A. P. C. Road, Kolkata 700009, India

  • *Present address: School of Physical Sciences, National Institute of Science Education and Research, Jatni-752050, India; subhasis.samant@gmail.com

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Vol. 96, Iss. 1 — July 2017

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