Alternative Waiting Time Statistics for the Lu and Hamilton Avalanche Model

Autores
Kychenthal, Matias Andres; Morales, Laura Fernanda
Año de publicación
2023
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The solar corona hosts many explosive events. Among them, flares are some of the most energetic, rapidly releasing huge amounts of energy and, in the case of the largest ones, producing coronal mass ejections that have the potential to harm life on our planet. Therefore, there is great interest in attempting to foresee the occurrence of extreme solar flares. Avalanche models for solar flares have been used since the beginning of the 1990s to model the flaring corona in a simple and computationally inexpensive way. The pioneering and now most prevalent model in the literature was proposed by Lu and Hamilton. This model has been extremely useful to reproduce most of the main characteristic features observed in solar flares (e.g., the probability density function of a flare’s energy) and, in recent years, has been used as the starting point to predict extreme flaring events. In this work, we revisit Lu and Hamilton’s model and the very definition of waiting time for both extreme and all-sized events. We find that extreme avalanche statistics are well described by a log-normal distribution, in accordance with recent observations of solar flares.
Fil: Kychenthal, Matias Andres. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física del Plasma. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física del Plasma; Argentina
Fil: Morales, Laura Fernanda. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física del Plasma. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física del Plasma; Argentina
Materia
Criticalidad
Corona
Solar
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:11336/228397
Acceder
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spelling Alternative Waiting Time Statistics for the Lu and Hamilton Avalanche ModelKychenthal, Matias AndresMorales, Laura FernandaCriticalidadCoronaSolarhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1The solar corona hosts many explosive events. Among them, flares are some of the most energetic, rapidly releasing huge amounts of energy and, in the case of the largest ones, producing coronal mass ejections that have the potential to harm life on our planet. Therefore, there is great interest in attempting to foresee the occurrence of extreme solar flares. Avalanche models for solar flares have been used since the beginning of the 1990s to model the flaring corona in a simple and computationally inexpensive way. The pioneering and now most prevalent model in the literature was proposed by Lu and Hamilton. This model has been extremely useful to reproduce most of the main characteristic features observed in solar flares (e.g., the probability density function of a flare’s energy) and, in recent years, has been used as the starting point to predict extreme flaring events. In this work, we revisit Lu and Hamilton’s model and the very definition of waiting time for both extreme and all-sized events. We find that extreme avalanche statistics are well described by a log-normal distribution, in accordance with recent observations of solar flares.Fil: Kychenthal, Matias Andres. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física del Plasma. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física del Plasma; ArgentinaFil: Morales, Laura Fernanda. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física del Plasma. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física del Plasma; ArgentinaIOP Publishing2023-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/228397Kychenthal, Matias Andres; Morales, Laura Fernanda; Alternative Waiting Time Statistics for the Lu and Hamilton Avalanche Model; IOP Publishing; Astrophysical Journal; 946; 2; 4-2023; 1-50004-637XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.3847/1538-4357/acb696info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:00:45Zoai:ri.conicet.gov.ar:11336/228397instacron: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:34982025-09-29 10:00:45.371CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Alternative Waiting Time Statistics for the Lu and Hamilton Avalanche Model
title Alternative Waiting Time Statistics for the Lu and Hamilton Avalanche Model
spellingShingle Alternative Waiting Time Statistics for the Lu and Hamilton Avalanche Model
Kychenthal, Matias Andres
Criticalidad
Corona
Solar
title_short Alternative Waiting Time Statistics for the Lu and Hamilton Avalanche Model
title_full Alternative Waiting Time Statistics for the Lu and Hamilton Avalanche Model
title_fullStr Alternative Waiting Time Statistics for the Lu and Hamilton Avalanche Model
title_full_unstemmed Alternative Waiting Time Statistics for the Lu and Hamilton Avalanche Model
title_sort Alternative Waiting Time Statistics for the Lu and Hamilton Avalanche Model
dc.creator.none.fl_str_mv Kychenthal, Matias Andres
Morales, Laura Fernanda
author Kychenthal, Matias Andres
author_facet Kychenthal, Matias Andres
Morales, Laura Fernanda
author_role author
author2 Morales, Laura Fernanda
author2_role author
dc.subject.none.fl_str_mv Criticalidad
Corona
Solar
topic Criticalidad
Corona
Solar
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The solar corona hosts many explosive events. Among them, flares are some of the most energetic, rapidly releasing huge amounts of energy and, in the case of the largest ones, producing coronal mass ejections that have the potential to harm life on our planet. Therefore, there is great interest in attempting to foresee the occurrence of extreme solar flares. Avalanche models for solar flares have been used since the beginning of the 1990s to model the flaring corona in a simple and computationally inexpensive way. The pioneering and now most prevalent model in the literature was proposed by Lu and Hamilton. This model has been extremely useful to reproduce most of the main characteristic features observed in solar flares (e.g., the probability density function of a flare’s energy) and, in recent years, has been used as the starting point to predict extreme flaring events. In this work, we revisit Lu and Hamilton’s model and the very definition of waiting time for both extreme and all-sized events. We find that extreme avalanche statistics are well described by a log-normal distribution, in accordance with recent observations of solar flares.
Fil: Kychenthal, Matias Andres. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física del Plasma. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física del Plasma; Argentina
Fil: Morales, Laura Fernanda. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física del Plasma. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física del Plasma; Argentina
description The solar corona hosts many explosive events. Among them, flares are some of the most energetic, rapidly releasing huge amounts of energy and, in the case of the largest ones, producing coronal mass ejections that have the potential to harm life on our planet. Therefore, there is great interest in attempting to foresee the occurrence of extreme solar flares. Avalanche models for solar flares have been used since the beginning of the 1990s to model the flaring corona in a simple and computationally inexpensive way. The pioneering and now most prevalent model in the literature was proposed by Lu and Hamilton. This model has been extremely useful to reproduce most of the main characteristic features observed in solar flares (e.g., the probability density function of a flare’s energy) and, in recent years, has been used as the starting point to predict extreme flaring events. In this work, we revisit Lu and Hamilton’s model and the very definition of waiting time for both extreme and all-sized events. We find that extreme avalanche statistics are well described by a log-normal distribution, in accordance with recent observations of solar flares.
publishDate 2023
dc.date.none.fl_str_mv 2023-04
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/11336/228397
Kychenthal, Matias Andres; Morales, Laura Fernanda; Alternative Waiting Time Statistics for the Lu and Hamilton Avalanche Model; IOP Publishing; Astrophysical Journal; 946; 2; 4-2023; 1-5
0004-637X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/228397
identifier_str_mv Kychenthal, Matias Andres; Morales, Laura Fernanda; Alternative Waiting Time Statistics for the Lu and Hamilton Avalanche Model; IOP Publishing; Astrophysical Journal; 946; 2; 4-2023; 1-5
0004-637X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.3847/1538-4357/acb696
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 IOP Publishing
publisher.none.fl_str_mv IOP Publishing
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
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score 13.070432

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