Statistical quantifiers for few-fermion’ systems

Autores
Pennini, Flavia Catalina; Plastino, A.
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
With reference to a simple (analytically solvable) model containing a few fermions, we show that statistical quantifiers, devised for large numbers of particles (and macroscopic bodies), surprisingly turn out to provide significant insights into the fermion-model characteristics. We find that statistical complexity can be assessed with the same criteria in large systems and in few-fermions ones.
Fil: Pennini, Flavia Catalina. Universidad Católica del Norte; Chile. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Plastino, A.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física La Plata. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física La Plata; Argentina. École Polytechnique Fédérale de Lausanne; Suiza
Materia
DISEQUILIBRIUM
SOLVABLE MODELS
STATISTICAL COMPLEXITY
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/114247
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Statistical quantifiers for few-fermion’ systemsPennini, Flavia CatalinaPlastino, A.DISEQUILIBRIUMSOLVABLE MODELSSTATISTICAL COMPLEXITYhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1With reference to a simple (analytically solvable) model containing a few fermions, we show that statistical quantifiers, devised for large numbers of particles (and macroscopic bodies), surprisingly turn out to provide significant insights into the fermion-model characteristics. We find that statistical complexity can be assessed with the same criteria in large systems and in few-fermions ones.Fil: Pennini, Flavia Catalina. Universidad Católica del Norte; Chile. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Plastino, A.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física La Plata. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física La Plata; Argentina. École Polytechnique Fédérale de Lausanne; SuizaElsevier Science2018-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/114247Pennini, Flavia Catalina; Plastino, A.; Statistical quantifiers for few-fermion’ systems; Elsevier Science; Physica A: Statistical Mechanics and its Applications; 491; 2-2018; 305-3120378-4371CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.physa.2017.09.041info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S0378437117309330info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:04:44Zoai:ri.conicet.gov.ar:11336/114247instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 10:04:45.09CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Statistical quantifiers for few-fermion’ systems
title Statistical quantifiers for few-fermion’ systems
spellingShingle Statistical quantifiers for few-fermion’ systems
Pennini, Flavia Catalina
DISEQUILIBRIUM
SOLVABLE MODELS
STATISTICAL COMPLEXITY
title_short Statistical quantifiers for few-fermion’ systems
title_full Statistical quantifiers for few-fermion’ systems
title_fullStr Statistical quantifiers for few-fermion’ systems
title_full_unstemmed Statistical quantifiers for few-fermion’ systems
title_sort Statistical quantifiers for few-fermion’ systems
dc.creator.none.fl_str_mv Pennini, Flavia Catalina
Plastino, A.
author Pennini, Flavia Catalina
author_facet Pennini, Flavia Catalina
Plastino, A.
author_role author
author2 Plastino, A.
author2_role author
dc.subject.none.fl_str_mv DISEQUILIBRIUM
SOLVABLE MODELS
STATISTICAL COMPLEXITY
topic DISEQUILIBRIUM
SOLVABLE MODELS
STATISTICAL COMPLEXITY
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv With reference to a simple (analytically solvable) model containing a few fermions, we show that statistical quantifiers, devised for large numbers of particles (and macroscopic bodies), surprisingly turn out to provide significant insights into the fermion-model characteristics. We find that statistical complexity can be assessed with the same criteria in large systems and in few-fermions ones.
Fil: Pennini, Flavia Catalina. Universidad Católica del Norte; Chile. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Plastino, A.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física La Plata. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física La Plata; Argentina. École Polytechnique Fédérale de Lausanne; Suiza
description With reference to a simple (analytically solvable) model containing a few fermions, we show that statistical quantifiers, devised for large numbers of particles (and macroscopic bodies), surprisingly turn out to provide significant insights into the fermion-model characteristics. We find that statistical complexity can be assessed with the same criteria in large systems and in few-fermions ones.
publishDate 2018
dc.date.none.fl_str_mv 2018-02
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/114247
Pennini, Flavia Catalina; Plastino, A.; Statistical quantifiers for few-fermion’ systems; Elsevier Science; Physica A: Statistical Mechanics and its Applications; 491; 2-2018; 305-312
0378-4371
CONICET Digital
CONICET
url http://hdl.handle.net/11336/114247
identifier_str_mv Pennini, Flavia Catalina; Plastino, A.; Statistical quantifiers for few-fermion’ systems; Elsevier Science; Physica A: Statistical Mechanics and its Applications; 491; 2-2018; 305-312
0378-4371
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.physa.2017.09.041
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S0378437117309330
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1842269873040785408
score 13.13397

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