Results 21 to 30 of about 1,869,033 (270)

On superstatistics and black hole quasinormal modes

open access: yesPhysics Letters B, 2022
It is known that using Boltzmann-Gibbs statistics, Bekenstein-Hawking entropy SHB, and the quasinormal modes of black holes, one finds that the lowest value of spin is jmin=1.
A. Martínez-Merino, M. Sabido
doaj   +1 more source

Unruh Effect for Mixed Neutrinos and the KMS Condition

open access: yesUniverse, 2022
The quantization of mixed (neutrino) fields in an accelerated background reveals a non-thermal nature for Unruh radiation, which can be fitted by a Tsallis-like distribution function.
Massimo Blasone   +3 more
doaj   +1 more source

Inelasticity resulting from rapidity spectra analysis

open access: yesNew Journal of Physics, 2020
In this work we study the pseudorapidity spectra of charged particles produced in proton + proton and proton + antiproton interactions in a wide energy range using the non-extensive Tsallis approach.
Maciej Rybczyński, Zbigniew Włodarczyk
doaj   +1 more source

Tsallis q-Statistics in Seismology

open access: yesEntropy, 2023
Non-extensive statistical mechanics (or q-statistics) is based on the so-called non-additive Tsallis entropy. Since its introduction by Tsallis, in 1988, as a generalization of the Boltzmann–Gibbs equilibrium statistical mechanics, it has steadily gained
Leonardo Di G. Sigalotti   +2 more
doaj   +1 more source

A New Thermodynamics from Nuclei to Stars

open access: yesEntropy, 2004
: Equilibrium statistics of Hamiltonian systems is correctly described by the microcanonical ensemble. Classically this is the manifold of all points in the N-body phase space with the given total energy.
Dieter H.E. Gross
doaj   +1 more source

Canonical ensemble in non-extensive statistical mechanics [PDF]

open access: yesPhysica A: Statistical Mechanics and its Applications, 2016
The framework of non-extensive statistical mechanics, proposed by Tsallis, has been used to describe a variety of systems. The non-extensive statistical mechanics is usually introduced in a formal way, using the maximization of entropy. In this article we investigate the canonical ensemble in the non-extensive statistical mechanics using a more ...
openaire   +2 more sources

Fractal Structures of Yang–Mills Fields and Non-Extensive Statistics: Applications to High Energy Physics

open access: yesPhysics, 2020
In this work, we provide an overview of the recent investigations on the non-extensive Tsallis statistics and its applications to high energy physics and astrophysics, including physics at the Large Hadron Collider (LHC), hadron physics, and neutron ...
Airton Deppman   +2 more
doaj   +1 more source

An Application of Non-Extensive Statistical Mechanics to Nanosystems [PDF]

open access: yesJournal of Computational and Theoretical Nanoscience, 2004
We review the time-dependent density functional theory (TDDFT) and its use to investigate excited states of nanostructures. These excited states are routinely probed using electromagnetic fields. In this case, two different regimes are usually distinguished: (i) If the electromagnetic field is “weak”— as in optical absorption of light—it is sufficient ...
G.R. Vakili-Nezhaad, G.A. Mansoori
openaire   +1 more source

Geometric aspects of the non-extensive statistical theory [PDF]

open access: yesAIP Conference Proceedings, 2009
The family of Tsallis entropies was introduced by Tsallis in 1988. The Shannon entropy belongs to this family as the limit case q→1. The canonical distributions in Rn that maximize this entropy under a covariance constraint are easily derived as Student‐t (q 1) multivariate distributions. A nice geometrical result about these Student‐r distributions is
Vignat, Christophe   +1 more
openaire   +3 more sources

Nuclear Multifragmentation in the Non-extensive Statistics - Canonical Formulation [PDF]

open access: yes, 2000
We apply the canonical quantum statistical model of nuclear multifragmentation generalized in the framework of recently proposed Tsallis non-extensive thermostatistics for the description of nuclear multifragmentation process. The test calculation in the
A. Le Fèvre   +32 more
core   +4 more sources

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