EPJ Web Conf.
Volume 192, 2018QCD@Work 2018 - International Workshop on Quantum Chromodynamics - Theory and Experiment
|Number of page(s)||5|
|Published online||14 November 2018|
Fractal structure of hadrons and non-extensive statistics*
Departamento de Física Atómica, Molecular y Nuclear and Instituto Carlos I de Física Teórica y Computacional, Universidad de Granada,
Avenida de Fuente Nueva s/n, 18071 Granada,
2 Departamento de Física Teórica, Universidad del País Vasco UPV/EHU, Apartado 644, 48080 Bilbao, Spain
3 Instituto de Física, Universidade de São Paulo, Rua do Matão Travessa R Nr. 187, Cidade Universitária, CEP 05508-090 São Paulo, Brazil
4 Instituto Tecnológico da Aeronáutica, 12228-900 São José dos Campos, Brazil
5 Departamento de Física, CFM, Universidade Federal de Santa Catarina, CP 476, CEP 88040-900 Florianópolis, Brazil
* Presented by E. Megías at the QCD@Work: International Workshop on QCD, 25-28 June 2018, Matera, Italy.
** e-mail: firstname.lastname@example.org
*** e-mail: email@example.com
**** e-mail: firstname.lastname@example.org
† e-mail: email@example.com
Published online: 14 November 2018
The role played by non-extensive thermodynamics in physical systems has been under intense debate for the last decades. Some possible mechanisms that could give rise to non-extensive statistics have been formulated along the last few years, in particular the existence of a fractal structure in thermodynamic functions for hadronic systems. We investigate the properties of such fractal thermodynamical systems, in particular the fractal scale invariance is discussed in terms of the Callan-Symanzik equation. Finally, we propose a diagrammatic method for calculations of relevant quantities.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.