The nonextensive statistics proposed by Tsallis has found wide applicability, being present even in the description of experimental data from high energy collisions. A system with a fractal structure in its energy-momentum space, named thermofractal, was shown to be described thermodynamically by the nonextensive statistics. Due to the many common features between thermofractals and Hagedorn’s fireballs, this system offers the possibility of investigating the origins of nonextensivity in hadronic physics and in QCD. In this regard, the investigation of the scaling properties of thermofractals through the renormalization group equation, known as Callan–Symanzik equation, can be an interesting approach
Within the framework of Tsallis statistics with q 1, we construct a perturbation theory for treatin...
The work of E.M. is supported by the project PID2020-114767GB-I00 financed by MCIN/AEI/10.13039/501...
Abstract: The article shows how one can obtain statistical thermodynamics of nonextensive ...
The role played by non-extensive thermodynamics in physical systems has been under intense debate fo...
The role played by non-extensive thermodynamics in physical systems has been under intense debate fo...
Although Boltzmann-Gibbs (BG) statistics provides a suitable tool which enables us to handle a large...
The nonextensive statistics formalism proposed by Tsallis has found many applications in systems wit...
Within the Tsallis thermodynamics framework, and using scaling properties of the entropy, we derive ...
The non extensive aspects of pT distributions obtained in high energy collisions are discussed in re...
In the last few years an increasing interest has been paid to fractal inspired statistics. Our aim i...
These notes aim to provide a concise pedagogical introduction to some important applications of the ...
An analysis of fully developed turbulence is developed based on the assumption that the underlying s...
Boltzmann-Gibbs statistics fails to study the systems having the conditions (i) the spatial range of...
The perturbative approach to QCD has been shown to be limited, and the difficulties to obtain accura...
In this work, we analyze how scaling properties of Yang-Mills field theory manifest as self-similari...
Within the framework of Tsallis statistics with q 1, we construct a perturbation theory for treatin...
The work of E.M. is supported by the project PID2020-114767GB-I00 financed by MCIN/AEI/10.13039/501...
Abstract: The article shows how one can obtain statistical thermodynamics of nonextensive ...
The role played by non-extensive thermodynamics in physical systems has been under intense debate fo...
The role played by non-extensive thermodynamics in physical systems has been under intense debate fo...
Although Boltzmann-Gibbs (BG) statistics provides a suitable tool which enables us to handle a large...
The nonextensive statistics formalism proposed by Tsallis has found many applications in systems wit...
Within the Tsallis thermodynamics framework, and using scaling properties of the entropy, we derive ...
The non extensive aspects of pT distributions obtained in high energy collisions are discussed in re...
In the last few years an increasing interest has been paid to fractal inspired statistics. Our aim i...
These notes aim to provide a concise pedagogical introduction to some important applications of the ...
An analysis of fully developed turbulence is developed based on the assumption that the underlying s...
Boltzmann-Gibbs statistics fails to study the systems having the conditions (i) the spatial range of...
The perturbative approach to QCD has been shown to be limited, and the difficulties to obtain accura...
In this work, we analyze how scaling properties of Yang-Mills field theory manifest as self-similari...
Within the framework of Tsallis statistics with q 1, we construct a perturbation theory for treatin...
The work of E.M. is supported by the project PID2020-114767GB-I00 financed by MCIN/AEI/10.13039/501...
Abstract: The article shows how one can obtain statistical thermodynamics of nonextensive ...