Perspective on Tsallis statistics for nuclear and particle physics

Research output: Contribution to journalReview articlepeer-review

12 Scopus citations

Abstract

This is a concise introduction to the topic of nonextensive Tsallis statistics meant especially for those interested in its relation to high-energy proton-proton, proton-nucleus and nucleus-nucleus collisions. The three types of Tsallis statistics are reviewed. Only one of them is consistent with the fundamental hypothesis of equilibrium statistical mechanics. The single-particle distributions associated with it, namely Boltzmann, Fermi-Dirac and Bose-Einstein, are derived. These are not equilibrium solutions to the conventional Boltzmann transport equation which must be modified in a rather nonintuitive manner for them to be so. Nevertheless, the Boltzmann limit of the Tsallis distribution is extremely efficient in representing a wide variety of single-particle distributions in high-energy proton-proton, proton-nucleus and nucleus-nucleus collisions with only three parameters, one of them being the so-called nonextensitivity parameter q. This distribution interpolates between an exponential at low transverse energy, reflecting thermal equilibrium, to a power law at high transverse energy, reflecting the asymptotic freedom of Quantum Chromodynamics (QCD). It should not be viewed as a fundamental new parameter representing nonextensive behavior in these collisions.

Original languageEnglish (US)
Article number2130006
JournalInternational Journal of Modern Physics E
Volume30
Issue number8
DOIs
StatePublished - Aug 1 2021
Externally publishedYes

Bibliographical note

Funding Information:
This work was supported by the U.S. Department of Energy Grant DE-FG02-87ER40328.

Publisher Copyright:
© 2021 World Scientific Publishing Company.

Keywords

  • Statistical mechanics
  • Tsallis distributions
  • high energy nuclear and particle collisions

Fingerprint

Dive into the research topics of 'Perspective on Tsallis statistics for nuclear and particle physics'. Together they form a unique fingerprint.

Cite this