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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/76792
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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 |
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CONICET Digital (CONICET) |
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CONICET Digital (CONICET) |
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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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13.070432 |