On the influence of statistics on the determination of the mean value of the depth of shower maximum for ultra high energy cosmic ray showers

Autores
Supanitsky, Alberto Daniel; Medina Tanco, Gustavo Adolfo
Año de publicación
2012
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The chemical composition of ultra high energy cosmic rays is still uncertain. The latest results obtained by the Pierre Auger Observatory and the HiRes collaboration, concerning the measurement of the mean value and the fluctuations of the atmospheric depth at which the showers reach the maximum development, X max, are inconsistent. From comparison with air shower simulations it can be seen that, while the Auger data may be interpreted as a gradual transition to heavy nuclei for energies larger than 2-3 × 10 18eV, the HiRes data are consistent with a composition dominated by protons. In Wilk and Wlodarczyk (2011 J. Phys. G: Nucl. Part. Phys. 38 085201), it is suggested that a possible explanation for the observed deviation of the mean value of X max from the proton expectation, observed by Auger, could originate in a statistical bias arising from the approximated exponential shape of the X max distribution, combined with the decrease of the number of events as a function of primary energy. In this paper, we consider a better description of the X max distribution and show that the possible bias in the Auger data is at least one order of magnitude smaller than the one obtained when assuming an exponential distribution. Therefore, we conclude that the deviation of the Auger data from the proton expectation is unlikely to be explained by such statistical effect. © 2012 IOP Publishing Ltd.
Fil: Supanitsky, Alberto Daniel. Consejo Nacional de Investigaciónes Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; Argentina
Fil: Medina Tanco, Gustavo Adolfo. Universidad Nacional Autónoma de México. Instituto de Ciencias Nucleares; México
Materia
Cosmic Rays
Composition
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:11336/76792

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spelling On the influence of statistics on the determination of the mean value of the depth of shower maximum for ultra high energy cosmic ray showersSupanitsky, Alberto DanielMedina Tanco, Gustavo AdolfoCosmic RaysCompositionhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1The chemical composition of ultra high energy cosmic rays is still uncertain. The latest results obtained by the Pierre Auger Observatory and the HiRes collaboration, concerning the measurement of the mean value and the fluctuations of the atmospheric depth at which the showers reach the maximum development, X max, are inconsistent. From comparison with air shower simulations it can be seen that, while the Auger data may be interpreted as a gradual transition to heavy nuclei for energies larger than 2-3 × 10 18eV, the HiRes data are consistent with a composition dominated by protons. In Wilk and Wlodarczyk (2011 J. Phys. G: Nucl. Part. Phys. 38 085201), it is suggested that a possible explanation for the observed deviation of the mean value of X max from the proton expectation, observed by Auger, could originate in a statistical bias arising from the approximated exponential shape of the X max distribution, combined with the decrease of the number of events as a function of primary energy. In this paper, we consider a better description of the X max distribution and show that the possible bias in the Auger data is at least one order of magnitude smaller than the one obtained when assuming an exponential distribution. Therefore, we conclude that the deviation of the Auger data from the proton expectation is unlikely to be explained by such statistical effect. © 2012 IOP Publishing Ltd.Fil: Supanitsky, Alberto Daniel. Consejo Nacional de Investigaciónes Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; ArgentinaFil: Medina Tanco, Gustavo Adolfo. Universidad Nacional Autónoma de México. Instituto de Ciencias Nucleares; MéxicoIOP Publishing2012-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/76792Supanitsky, Alberto Daniel; Medina Tanco, Gustavo Adolfo; On the influence of statistics on the determination of the mean value of the depth of shower maximum for ultra high energy cosmic ray showers; IOP Publishing; Journal Of Physics G-nuclear And Particle Physics; 39; 9; 7-2012; 1-110954-3899CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1088/0954-3899/39/9/095203info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:36:10Zoai:ri.conicet.gov.ar:11336/76792instacron: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 10:36:11.176CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv On the influence of statistics on the determination of the mean value of the depth of shower maximum for ultra high energy cosmic ray showers
title On the influence of statistics on the determination of the mean value of the depth of shower maximum for ultra high energy cosmic ray showers
spellingShingle On the influence of statistics on the determination of the mean value of the depth of shower maximum for ultra high energy cosmic ray showers
Supanitsky, Alberto Daniel
Cosmic Rays
Composition
title_short On the influence of statistics on the determination of the mean value of the depth of shower maximum for ultra high energy cosmic ray showers
title_full On the influence of statistics on the determination of the mean value of the depth of shower maximum for ultra high energy cosmic ray showers
title_fullStr On the influence of statistics on the determination of the mean value of the depth of shower maximum for ultra high energy cosmic ray showers
title_full_unstemmed On the influence of statistics on the determination of the mean value of the depth of shower maximum for ultra high energy cosmic ray showers
title_sort On the influence of statistics on the determination of the mean value of the depth of shower maximum for ultra high energy cosmic ray showers
dc.creator.none.fl_str_mv Supanitsky, Alberto Daniel
Medina Tanco, Gustavo Adolfo
author Supanitsky, Alberto Daniel
author_facet Supanitsky, Alberto Daniel
Medina Tanco, Gustavo Adolfo
author_role author
author2 Medina Tanco, Gustavo Adolfo
author2_role author
dc.subject.none.fl_str_mv Cosmic Rays
Composition
topic Cosmic Rays
Composition
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 chemical composition of ultra high energy cosmic rays is still uncertain. The latest results obtained by the Pierre Auger Observatory and the HiRes collaboration, concerning the measurement of the mean value and the fluctuations of the atmospheric depth at which the showers reach the maximum development, X max, are inconsistent. From comparison with air shower simulations it can be seen that, while the Auger data may be interpreted as a gradual transition to heavy nuclei for energies larger than 2-3 × 10 18eV, the HiRes data are consistent with a composition dominated by protons. In Wilk and Wlodarczyk (2011 J. Phys. G: Nucl. Part. Phys. 38 085201), it is suggested that a possible explanation for the observed deviation of the mean value of X max from the proton expectation, observed by Auger, could originate in a statistical bias arising from the approximated exponential shape of the X max distribution, combined with the decrease of the number of events as a function of primary energy. In this paper, we consider a better description of the X max distribution and show that the possible bias in the Auger data is at least one order of magnitude smaller than the one obtained when assuming an exponential distribution. Therefore, we conclude that the deviation of the Auger data from the proton expectation is unlikely to be explained by such statistical effect. © 2012 IOP Publishing Ltd.
Fil: Supanitsky, Alberto Daniel. Consejo Nacional de Investigaciónes Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; Argentina
Fil: Medina Tanco, Gustavo Adolfo. Universidad Nacional Autónoma de México. Instituto de Ciencias Nucleares; México
description The chemical composition of ultra high energy cosmic rays is still uncertain. The latest results obtained by the Pierre Auger Observatory and the HiRes collaboration, concerning the measurement of the mean value and the fluctuations of the atmospheric depth at which the showers reach the maximum development, X max, are inconsistent. From comparison with air shower simulations it can be seen that, while the Auger data may be interpreted as a gradual transition to heavy nuclei for energies larger than 2-3 × 10 18eV, the HiRes data are consistent with a composition dominated by protons. In Wilk and Wlodarczyk (2011 J. Phys. G: Nucl. Part. Phys. 38 085201), it is suggested that a possible explanation for the observed deviation of the mean value of X max from the proton expectation, observed by Auger, could originate in a statistical bias arising from the approximated exponential shape of the X max distribution, combined with the decrease of the number of events as a function of primary energy. In this paper, we consider a better description of the X max distribution and show that the possible bias in the Auger data is at least one order of magnitude smaller than the one obtained when assuming an exponential distribution. Therefore, we conclude that the deviation of the Auger data from the proton expectation is unlikely to be explained by such statistical effect. © 2012 IOP Publishing Ltd.
publishDate 2012
dc.date.none.fl_str_mv 2012-07
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/11336/76792
Supanitsky, Alberto Daniel; Medina Tanco, Gustavo Adolfo; On the influence of statistics on the determination of the mean value of the depth of shower maximum for ultra high energy cosmic ray showers; IOP Publishing; Journal Of Physics G-nuclear And Particle Physics; 39; 9; 7-2012; 1-11
0954-3899
CONICET Digital
CONICET
url http://hdl.handle.net/11336/76792
identifier_str_mv Supanitsky, Alberto Daniel; Medina Tanco, Gustavo Adolfo; On the influence of statistics on the determination of the mean value of the depth of shower maximum for ultra high energy cosmic ray showers; IOP Publishing; Journal Of Physics G-nuclear And Particle Physics; 39; 9; 7-2012; 1-11
0954-3899
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1088/0954-3899/39/9/095203
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)
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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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