Quantitatively relating cosmic rays intensities from solar activity parameters based on structural equation modeling
Cosmic rays measured through neutron monitors on Earth’s surface have a strong correlation with the number of sunspots on the solar photosphere. Other indices that affect the dynamics of the heliosphere and distortions in the Earth’s geomagnetic field also exhibit significant correlations. Typically...
- Autores:
-
D Sierra-Porta
Tarazona-Alvarado, M
Villalba-Acevedo, Jorge
- Tipo de recurso:
- Fecha de publicación:
- 2023
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/12084
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/12084
- Palabra clave:
- Cosmic rays
Sun dynamics
Modelling
Heliospheric Abundances
Photosphere
Solar wind
LEMB
- Rights
- openAccess
- License
- http://creativecommons.org/publicdomain/zero/1.0/
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dc.title.spa.fl_str_mv |
Quantitatively relating cosmic rays intensities from solar activity parameters based on structural equation modeling |
title |
Quantitatively relating cosmic rays intensities from solar activity parameters based on structural equation modeling |
spellingShingle |
Quantitatively relating cosmic rays intensities from solar activity parameters based on structural equation modeling Cosmic rays Sun dynamics Modelling Heliospheric Abundances Photosphere Solar wind LEMB |
title_short |
Quantitatively relating cosmic rays intensities from solar activity parameters based on structural equation modeling |
title_full |
Quantitatively relating cosmic rays intensities from solar activity parameters based on structural equation modeling |
title_fullStr |
Quantitatively relating cosmic rays intensities from solar activity parameters based on structural equation modeling |
title_full_unstemmed |
Quantitatively relating cosmic rays intensities from solar activity parameters based on structural equation modeling |
title_sort |
Quantitatively relating cosmic rays intensities from solar activity parameters based on structural equation modeling |
dc.creator.fl_str_mv |
D Sierra-Porta Tarazona-Alvarado, M Villalba-Acevedo, Jorge |
dc.contributor.author.none.fl_str_mv |
D Sierra-Porta Tarazona-Alvarado, M Villalba-Acevedo, Jorge |
dc.subject.keywords.spa.fl_str_mv |
Cosmic rays Sun dynamics Modelling Heliospheric Abundances Photosphere Solar wind |
topic |
Cosmic rays Sun dynamics Modelling Heliospheric Abundances Photosphere Solar wind LEMB |
dc.subject.armarc.none.fl_str_mv |
LEMB |
description |
Cosmic rays measured through neutron monitors on Earth’s surface have a strong correlation with the number of sunspots on the solar photosphere. Other indices that affect the dynamics of the heliosphere and distortions in the Earth’s geomagnetic field also exhibit significant correlations. Typically, studies focus on these indices individually or combine some into a smaller set of estimators. This study uses Structural Equation Modeling to examine relationships between a broad range of parameters of solar dynamics and cosmic ray intensity (measured by the Moscow neutron monitor) across several solar cycles from 1976 to present day. The study also classifies these indices into three distinct contributions: Photosphere, Solar Wind and Terrestrial Geomagnetic Field Distortions. Regression models were built for all solar cycles and the complete cosmic ray series from 1976 to the present, resulting in good estimators with calculated p-values below 0.05 (95% confidence). Relationships among all contributions were determined using their estimators. |
publishDate |
2023 |
dc.date.accessioned.none.fl_str_mv |
2023-06-02T18:24:07Z |
dc.date.available.none.fl_str_mv |
2023-06-02T18:24:07Z |
dc.date.issued.none.fl_str_mv |
2023-03-06 |
dc.date.submitted.none.fl_str_mv |
2023-06-02 |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_b1a7d7d4d402bcce |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.hasversion.spa.fl_str_mv |
info:eu-repo/semantics/draft |
dc.type.spa.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
status_str |
draft |
dc.identifier.citation.spa.fl_str_mv |
D. Sierra-Porta, M. Tarazona-Alvarado, Jorge Villalba-Acevedo. (2023). Quantitatively relating cosmic rays intensities from solar activity parameters based on structural equation modeling. Advances in Space Research, 72(2). https://doi.org/10.1016/j.asr.2023.02.044 |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12585/12084 |
dc.identifier.instname.spa.fl_str_mv |
Universidad Tecnológica de Bolívar |
dc.identifier.reponame.spa.fl_str_mv |
Repositorio Universidad Tecnológica de Bolívar |
identifier_str_mv |
D. Sierra-Porta, M. Tarazona-Alvarado, Jorge Villalba-Acevedo. (2023). Quantitatively relating cosmic rays intensities from solar activity parameters based on structural equation modeling. Advances in Space Research, 72(2). https://doi.org/10.1016/j.asr.2023.02.044 Universidad Tecnológica de Bolívar Repositorio Universidad Tecnológica de Bolívar |
url |
https://hdl.handle.net/20.500.12585/12084 |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.uri.*.fl_str_mv |
http://creativecommons.org/publicdomain/zero/1.0/ |
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info:eu-repo/semantics/openAccess |
dc.rights.cc.*.fl_str_mv |
CC0 1.0 Universal |
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http://creativecommons.org/publicdomain/zero/1.0/ CC0 1.0 Universal http://purl.org/coar/access_right/c_abf2 |
eu_rights_str_mv |
openAccess |
dc.format.extent.none.fl_str_mv |
Pdf |
dc.format.mimetype.spa.fl_str_mv |
application/pdf |
dc.publisher.place.spa.fl_str_mv |
Cartagena de Indias |
dc.source.spa.fl_str_mv |
Advances in Space Research - Vol. 72 No. 1 (2023) |
institution |
Universidad Tecnológica de Bolívar |
bitstream.url.fl_str_mv |
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D Sierra-Porta001defe6-8659-41ab-9b50-b89ab8bf851fTarazona-Alvarado, M07ff79c4-490f-4bef-822c-503bf551b375Villalba-Acevedo, Jorged86da205-1448-4258-971f-9e1f852f8dd82023-06-02T18:24:07Z2023-06-02T18:24:07Z2023-03-062023-06-02D. Sierra-Porta, M. Tarazona-Alvarado, Jorge Villalba-Acevedo. (2023). Quantitatively relating cosmic rays intensities from solar activity parameters based on structural equation modeling. Advances in Space Research, 72(2). https://doi.org/10.1016/j.asr.2023.02.044https://hdl.handle.net/20.500.12585/12084Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarCosmic rays measured through neutron monitors on Earth’s surface have a strong correlation with the number of sunspots on the solar photosphere. Other indices that affect the dynamics of the heliosphere and distortions in the Earth’s geomagnetic field also exhibit significant correlations. Typically, studies focus on these indices individually or combine some into a smaller set of estimators. This study uses Structural Equation Modeling to examine relationships between a broad range of parameters of solar dynamics and cosmic ray intensity (measured by the Moscow neutron monitor) across several solar cycles from 1976 to present day. The study also classifies these indices into three distinct contributions: Photosphere, Solar Wind and Terrestrial Geomagnetic Field Distortions. Regression models were built for all solar cycles and the complete cosmic ray series from 1976 to the present, resulting in good estimators with calculated p-values below 0.05 (95% confidence). Relationships among all contributions were determined using their estimators.Pdfapplication/pdfenghttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/openAccessCC0 1.0 Universalhttp://purl.org/coar/access_right/c_abf2Advances in Space Research - Vol. 72 No. 1 (2023)Quantitatively relating cosmic rays intensities from solar activity parameters based on structural equation modelinginfo:eu-repo/semantics/articleinfo:eu-repo/semantics/drafthttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/version/c_b1a7d7d4d402bccehttp://purl.org/coar/resource_type/c_2df8fbb1Cosmic raysSun dynamicsModellingHeliospheric AbundancesPhotosphereSolar windLEMBCartagena de IndiasPúblico generalAnderson, J.C., Gerbing, D.W., 1988. Structural equation modeling in practice: A review and recommended two-step approach. Psychol. Bull. 103, 411–423. https://doi.org/10.1037/0033-2909.103.3.411.Aslam, O.P.M., Badruddin, 2017. Study of the geoeffectiveness and galactic cosmic-ray response of VarSITI-ISEST campaign events in solar cycle 24. Sol. Phys. 292, 135. https://doi.org/10.1007/s11207-017- 1160-x.Axford, W.I., 1965. The modulation of galactic cosmic rays in the interplanetary medium. Planet. Space Sci. 13, 115–130. https://doi.org/ 10.1016/0032-0633(65)90181-9, URL: https://www.sciencedirect.com/science/article/pii/0032063365901819.Bazilevskaya, G.A., Cliver, E.W., Kovaltsov, G.A., Ling, A.G., Shea, M. A., Smart, D.F., Usoskin, I.G., 2014. Solar cycle in the heliosphere and cosmic rays. Space Sci. Rev. 186, 409–435. https://doi.org/10.1007/ s11214-014-0084-0.Bentler, P.M., Bonett, D.G., 1980. Significance tests and goodness of fit in the analysis of covariance structures. Psychol. Bull. 88, 588–606. https://doi.org/10.1037/0033-2909.88.3.588Bhargawa, A., Singh, A., 2021. Elucidation of some solar parameters observed during solar cycles 21–24. Adv. 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