A PCA based effective model for asteroid accelerations

Autores
Murray, Z.
Año de publicación
2025
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Fitting asteroid masses using planetary ephemerides is a well-studied technique, but traditional implementations face challenges such as correlations between asteroid masses, poorly characterized systematic errors, and overtting. We present a method that applies linearization and principal component analysis (PCA) to the accelerations induced by unmodeled asteroids on solar system bodies.
Facultad de Ciencias Astronómicas y Geofísicas
Materia
Ciencias Astronómicas
Planetary ephemerides
Earth-Mars distance
Asteroid masses
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-nd/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/192189
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/192189
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling A PCA based effective model for asteroid accelerationsMurray, Z.Ciencias AstronómicasPlanetary ephemeridesEarth-Mars distanceAsteroid massesFitting asteroid masses using planetary ephemerides is a well-studied technique, but traditional implementations face challenges such as correlations between asteroid masses, poorly characterized systematic errors, and overtting. We present a method that applies linearization and principal component analysis (PCA) to the accelerations induced by unmodeled asteroids on solar system bodies.Facultad de Ciencias Astronómicas y Geofísicas2025-08info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionResumenhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/192189enginfo:eu-repo/semantics/reference/url/https://sedici.unlp.edu.ar/handle/10915/190232info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2026-03-26T09:21:46Zoai:sedici.unlp.edu.ar:10915/192189Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292026-03-26 09:21:47.137SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv A PCA based effective model for asteroid accelerations
title A PCA based effective model for asteroid accelerations
spellingShingle A PCA based effective model for asteroid accelerations
Murray, Z.
Ciencias Astronómicas
Planetary ephemerides
Earth-Mars distance
Asteroid masses
title_short A PCA based effective model for asteroid accelerations
title_full A PCA based effective model for asteroid accelerations
title_fullStr A PCA based effective model for asteroid accelerations
title_full_unstemmed A PCA based effective model for asteroid accelerations
title_sort A PCA based effective model for asteroid accelerations
dc.creator.none.fl_str_mv Murray, Z.
author Murray, Z.
author_facet Murray, Z.
author_role author
dc.subject.none.fl_str_mv Ciencias Astronómicas
Planetary ephemerides
Earth-Mars distance
Asteroid masses
topic Ciencias Astronómicas
Planetary ephemerides
Earth-Mars distance
Asteroid masses
dc.description.none.fl_txt_mv Fitting asteroid masses using planetary ephemerides is a well-studied technique, but traditional implementations face challenges such as correlations between asteroid masses, poorly characterized systematic errors, and overtting. We present a method that applies linearization and principal component analysis (PCA) to the accelerations induced by unmodeled asteroids on solar system bodies.
Facultad de Ciencias Astronómicas y Geofísicas
description Fitting asteroid masses using planetary ephemerides is a well-studied technique, but traditional implementations face challenges such as correlations between asteroid masses, poorly characterized systematic errors, and overtting. We present a method that applies linearization and principal component analysis (PCA) to the accelerations induced by unmodeled asteroids on solar system bodies.
publishDate 2025
dc.date.none.fl_str_mv 2025-08
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Resumen
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/192189
url http://sedici.unlp.edu.ar/handle/10915/192189
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/reference/url/https://sedici.unlp.edu.ar/handle/10915/190232
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/4.0/
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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