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pro vyhledávání: '"Tamás, Sándor"'
The transverse momentum distribution of identified hadrons from recent years are analyzed within the thermodynamically consistent formulation of non-extensive statistics. A wide range of center-of-mass energies and average event multiplicities are st
Externí odkaz:
http://arxiv.org/abs/2003.03278
The non-extensive statistical description of the identified final state particles measured in high energy collisions is well-known by its wide range of applicability. However, there are many open questions that need to be answered, including but not
Externí odkaz:
http://arxiv.org/abs/1905.11272
Publikováno v:
Universe 2019, 5(5), 122
We investigate how the non-extensive approach works in high-energy physics. Transverse momentum ($p_T$) spectra of several hadrons are fitted by various non-extensive momentum distributions and by the Boltzmann--Gibbs statistics.~It is shown that som
Externí odkaz:
http://arxiv.org/abs/1905.08402
Publikováno v:
Eur. Phys. J. A (2019) 55: 126
We review transverse momentum distributions of various identified charged particles stemming from high energy collisions fitted by various non-extensive distributions as well as by the usual Boltzmann-Gibbs statistics. We investigate the best-fit for
Externí odkaz:
http://arxiv.org/abs/1905.05736
Akademický článek
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The latest, high-accuracy identified hadron spectra measurements in high-energy nuclear collisions led us to the investigation of the strongly interacting particles and collective effects in small systems. Since microscopical processes result in a st
Externí odkaz:
http://arxiv.org/abs/1710.09062
Publikováno v:
Entropy 2017, 19(3), 88
The analysis of high-energy particle collisions is an excellent testbed for the non-extensive statistical approach. In these reactions we are far from the thermodynamical limit. In small colliding systems, such as electron-positron or nuclear collisi
Externí odkaz:
http://arxiv.org/abs/1702.02842
Autor:
Tima, Tamás Sándor, Geier, Norbert
Publikováno v:
Journal of Manufacturing & Materials Processing; Dec2024, Vol. 8 Issue 6, p247, 22p