Application of the non-extensive statistical approach to high energy particle collisions

Gábor Bíró, G. Barnaföldi, T. Bíró, Károly Ürmössy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In high-energy collisions the number of created particles is far less than the thermodynamic limit, especially in small colliding systems (e.g. proton-proton). Therefore final-state effects and fluctuations in the one-particle energy distribution are appreciable. As a consequence the characterization of identified hadron spectra with the Boltzmann - Gibbs thermodynamical approach is insuffcient [1]. Instead particle spectra measured in high-energy collisions can be described very well with Tsallis -Pareto distributions, derived from non-extensive thermodynamics [2, 3]. Using the Tsallis q-entropy formula, a generalization of the Boltzmann - Gibbs entropy, we interpret the microscopic physics by analysing the Tsallis q and T parameters. In this paper we give a quick overview on these parameters, analyzing identified hadron spectra from recent years in a wide center-of-mass energy range. We demonstrate that the fitted Tsallis-parameters show dependency on the center-of-mass energy and particle species. Our findings are described well by a QCD inspired evolution ansatz. Based on this comprehensive study, apart from the evolution, both mesonic and barionic components found to be non-extensive (q > 1), beside the mass ordered hierarchy observed in parameter T.

Original languageEnglish
Title of host publicationBayesian Inference and Maximum Entropy Methods in Science and Engineering
Subtitle of host publicationProceedings of the 36th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, MaxEnt 2016
PublisherAmerican Institute of Physics Inc.
Volume1853
ISBN (Electronic)9780735415270
DOIs
Publication statusPublished - Jun 9 2017
Event36th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, MaxEnt 2016 - Ghent, Belgium
Duration: Jul 10 2016Jul 15 2016

Other

Other36th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, MaxEnt 2016
CountryBelgium
CityGhent
Period7/10/167/15/16

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ASJC Scopus subject areas

  • Physics and Astronomy(all)

Cite this

Bíró, G., Barnaföldi, G., Bíró, T., & Ürmössy, K. (2017). Application of the non-extensive statistical approach to high energy particle collisions. In Bayesian Inference and Maximum Entropy Methods in Science and Engineering: Proceedings of the 36th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, MaxEnt 2016 (Vol. 1853). [080001] American Institute of Physics Inc.. https://doi.org/10.1063/1.4985366