A statistically sound model for astrometric uncertainties to improve minor planet orbit accuracies

Autores
Spoto, F.; Payne, M.; Holman, M.
Año de publicación
2025
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Astrometric uncertainties are central to any orbit-fitting procedure. The result of a fit is a nominal solution, which represents the single orbit that best matches the observations, and a confidence region describing the orbital uncertainty, which includes the set of orbital elements statistically compatible with the data and the error model. For well-observed asteroids, the region is well approximated by a multidimensional ellipsoid. In contrast, for short-arc objects (e.g. objects on the NEO Confirmation Page), the uncertainty region appears as a cloud of admissible orbits.
Facultad de Ciencias Astronómicas y Geofísicas
Materia
Ciencias Astronómicas
Orbital uncertainty
Astrometric errors
Statistical error model
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:10915/192137
Acceder
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network_acronym_str SEDICI
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network_name_str SEDICI (UNLP)
spelling A statistically sound model for astrometric uncertainties to improve minor planet orbit accuraciesSpoto, F.Payne, M.Holman, M.Ciencias AstronómicasOrbital uncertaintyAstrometric errorsStatistical error modelAstrometric uncertainties are central to any orbit-fitting procedure. The result of a fit is a nominal solution, which represents the single orbit that best matches the observations, and a confidence region describing the orbital uncertainty, which includes the set of orbital elements statistically compatible with the data and the error model. For well-observed asteroids, the region is well approximated by a multidimensional ellipsoid. In contrast, for short-arc objects (e.g. objects on the NEO Confirmation Page), the uncertainty region appears as a cloud of admissible orbits.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/10915/192137enginfo: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:UNLP2026-04-15T11:59:04Zoai:sedici.unlp.edu.ar:10915/192137Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292026-04-15 11:59:05.015SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv A statistically sound model for astrometric uncertainties to improve minor planet orbit accuracies
title A statistically sound model for astrometric uncertainties to improve minor planet orbit accuracies
spellingShingle A statistically sound model for astrometric uncertainties to improve minor planet orbit accuracies
Spoto, F.
Ciencias Astronómicas
Orbital uncertainty
Astrometric errors
Statistical error model
title_short A statistically sound model for astrometric uncertainties to improve minor planet orbit accuracies
title_full A statistically sound model for astrometric uncertainties to improve minor planet orbit accuracies
title_fullStr A statistically sound model for astrometric uncertainties to improve minor planet orbit accuracies
title_full_unstemmed A statistically sound model for astrometric uncertainties to improve minor planet orbit accuracies
title_sort A statistically sound model for astrometric uncertainties to improve minor planet orbit accuracies
dc.creator.none.fl_str_mv Spoto, F.
Payne, M.
Holman, M.
author Spoto, F.
author_facet Spoto, F.
Payne, M.
Holman, M.
author_role author
author2 Payne, M.
Holman, M.
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Astronómicas
Orbital uncertainty
Astrometric errors
Statistical error model
topic Ciencias Astronómicas
Orbital uncertainty
Astrometric errors
Statistical error model
dc.description.none.fl_txt_mv Astrometric uncertainties are central to any orbit-fitting procedure. The result of a fit is a nominal solution, which represents the single orbit that best matches the observations, and a confidence region describing the orbital uncertainty, which includes the set of orbital elements statistically compatible with the data and the error model. For well-observed asteroids, the region is well approximated by a multidimensional ellipsoid. In contrast, for short-arc objects (e.g. objects on the NEO Confirmation Page), the uncertainty region appears as a cloud of admissible orbits.
Facultad de Ciencias Astronómicas y Geofísicas
description Astrometric uncertainties are central to any orbit-fitting procedure. The result of a fit is a nominal solution, which represents the single orbit that best matches the observations, and a confidence region describing the orbital uncertainty, which includes the set of orbital elements statistically compatible with the data and the error model. For well-observed asteroids, the region is well approximated by a multidimensional ellipsoid. In contrast, for short-arc objects (e.g. objects on the NEO Confirmation Page), the uncertainty region appears as a cloud of admissible orbits.
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/10915/192137
url http://sedici.unlp.edu.ar/handle/10915/192137
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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score 13.203462

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