### 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 language | English |
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Title of host publication | Bayesian Inference and Maximum Entropy Methods in Science and Engineering |

Subtitle of host publication | Proceedings of the 36th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, MaxEnt 2016 |

Publisher | American Institute of Physics Inc. |

Volume | 1853 |

ISBN (Electronic) | 9780735415270 |

DOIs | |

Publication status | Published - Jun 9 2017 |

Event | 36th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, MaxEnt 2016 - Ghent, Belgium Duration: Jul 10 2016 → Jul 15 2016 |

### Other

Other | 36th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, MaxEnt 2016 |
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Country | Belgium |

City | Ghent |

Period | 7/10/16 → 7/15/16 |

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### ASJC Scopus subject areas

- Physics and Astronomy(all)

### Cite this

*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