Near and Far from Equilibrium Power-Law Statistics

T. S. Biró, G. Barnaföldi, G. Bíró, K. M. Shen

Research output: Contribution to journalConference article

3 Citations (Scopus)

Abstract

We analyze the connection between pT and multiplicity distributions in a statistical framework. We connect the Tsallis parameters, T and q, to physical properties like average energy per particle and the second scaled factorial moment, F 2 = n(n - 1) / n2, measured in multiplicity distributions. Near and far from equilibrium scenarios with master equations for the probability of having n particles, Pn , are reviewed based on hadronization transition rates, μn , from n to n + 1 particles.

Original languageEnglish
Article number012081
JournalJournal of Physics: Conference Series
Volume779
Issue number1
DOIs
Publication statusPublished - Feb 8 2017
Event16th International Conference on Strangeness in Quark Matter, SQM 2016 - Berkeley, United States
Duration: Jun 27 2016Jul 1 2016

ASJC Scopus subject areas

  • Physics and Astronomy(all)

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