Easy asteroid phase curve fitting for the Python ecosystem: Pyedra

Autores
Colazo, Milagros Rita; Cabral, Juan Bautista; Chalela Garcia, Martin; Sánchez, Bruno Orlando
Año de publicación
2022
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
A trending astronomical phenomenon is the variation in brightness of asteroids. This can be caused by its rotation on its own axis and/or its position relative to the sun. The latter behavior can be visualized on a phase curve, which shows the reduced magnitude as a function of the phase angle. To enable the comparison between several models for the dependence of reduced magnitude on phase angle we present a Python package called Pyedra. Pyedra implements three phase-curve-models, and also provides tools for visualization as well as integration with external datasets. The package is fully documented and tested following a strict quality-assurance workflow, with a user-friendly programmatic interface. In future versions, we will include more models, and additional estimation of quantities derived from parameters such as diameter and different albedos, and correlation of information of physical and orbital parameters.
Fil: Colazo, Milagros Rita. Universidad Nacional de Córdoba; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; Argentina
Fil: Cabral, Juan Bautista. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Centro de Investigaciones en Química Biológica de Córdoba. Universidad Nacional de Córdoba. Facultad de Ciencias Químicas. Centro de Investigaciones en Química Biológica de Córdoba; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Chalela Garcia, Martin. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; Argentina
Fil: Sánchez, Bruno Orlando. University of Duke; Estados Unidos
Materia
ASTEROIDS
FUNDAMENTAL PARAMETERS
GENERAL
MINOR PLANETS
PLANETS AND SATELLITES
PYTHON PACKAGE
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/202765

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spelling Easy asteroid phase curve fitting for the Python ecosystem: PyedraColazo, Milagros RitaCabral, Juan BautistaChalela Garcia, MartinSánchez, Bruno OrlandoASTEROIDSFUNDAMENTAL PARAMETERSGENERALMINOR PLANETSPLANETS AND SATELLITESPYTHON PACKAGEhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1https://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1A trending astronomical phenomenon is the variation in brightness of asteroids. This can be caused by its rotation on its own axis and/or its position relative to the sun. The latter behavior can be visualized on a phase curve, which shows the reduced magnitude as a function of the phase angle. To enable the comparison between several models for the dependence of reduced magnitude on phase angle we present a Python package called Pyedra. Pyedra implements three phase-curve-models, and also provides tools for visualization as well as integration with external datasets. The package is fully documented and tested following a strict quality-assurance workflow, with a user-friendly programmatic interface. In future versions, we will include more models, and additional estimation of quantities derived from parameters such as diameter and different albedos, and correlation of information of physical and orbital parameters.Fil: Colazo, Milagros Rita. Universidad Nacional de Córdoba; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; ArgentinaFil: Cabral, Juan Bautista. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Centro de Investigaciones en Química Biológica de Córdoba. Universidad Nacional de Córdoba. Facultad de Ciencias Químicas. Centro de Investigaciones en Química Biológica de Córdoba; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Chalela Garcia, Martin. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; ArgentinaFil: Sánchez, Bruno Orlando. University of Duke; Estados UnidosElsevier B.V.2022-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/202765Colazo, Milagros Rita; Cabral, Juan Bautista; Chalela Garcia, Martin; Sánchez, Bruno Orlando; Easy asteroid phase curve fitting for the Python ecosystem: Pyedra; Elsevier B.V.; Astronomy and Computing; 38; 100533; 1-2022; 1-52213-1337CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.ascom.2021.100533info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S2213133721000809info:eu-repo/semantics/altIdentifier/arxiv/https://arxiv.org/abs/2103.06856info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:41:46Zoai:ri.conicet.gov.ar:11336/202765instacron: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 09:41:46.557CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Easy asteroid phase curve fitting for the Python ecosystem: Pyedra
title Easy asteroid phase curve fitting for the Python ecosystem: Pyedra
spellingShingle Easy asteroid phase curve fitting for the Python ecosystem: Pyedra
Colazo, Milagros Rita
ASTEROIDS
FUNDAMENTAL PARAMETERS
GENERAL
MINOR PLANETS
PLANETS AND SATELLITES
PYTHON PACKAGE
title_short Easy asteroid phase curve fitting for the Python ecosystem: Pyedra
title_full Easy asteroid phase curve fitting for the Python ecosystem: Pyedra
title_fullStr Easy asteroid phase curve fitting for the Python ecosystem: Pyedra
title_full_unstemmed Easy asteroid phase curve fitting for the Python ecosystem: Pyedra
title_sort Easy asteroid phase curve fitting for the Python ecosystem: Pyedra
dc.creator.none.fl_str_mv Colazo, Milagros Rita
Cabral, Juan Bautista
Chalela Garcia, Martin
Sánchez, Bruno Orlando
author Colazo, Milagros Rita
author_facet Colazo, Milagros Rita
Cabral, Juan Bautista
Chalela Garcia, Martin
Sánchez, Bruno Orlando
author_role author
author2 Cabral, Juan Bautista
Chalela Garcia, Martin
Sánchez, Bruno Orlando
author2_role author
author
author
dc.subject.none.fl_str_mv ASTEROIDS
FUNDAMENTAL PARAMETERS
GENERAL
MINOR PLANETS
PLANETS AND SATELLITES
PYTHON PACKAGE
topic ASTEROIDS
FUNDAMENTAL PARAMETERS
GENERAL
MINOR PLANETS
PLANETS AND SATELLITES
PYTHON PACKAGE
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv A trending astronomical phenomenon is the variation in brightness of asteroids. This can be caused by its rotation on its own axis and/or its position relative to the sun. The latter behavior can be visualized on a phase curve, which shows the reduced magnitude as a function of the phase angle. To enable the comparison between several models for the dependence of reduced magnitude on phase angle we present a Python package called Pyedra. Pyedra implements three phase-curve-models, and also provides tools for visualization as well as integration with external datasets. The package is fully documented and tested following a strict quality-assurance workflow, with a user-friendly programmatic interface. In future versions, we will include more models, and additional estimation of quantities derived from parameters such as diameter and different albedos, and correlation of information of physical and orbital parameters.
Fil: Colazo, Milagros Rita. Universidad Nacional de Córdoba; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; Argentina
Fil: Cabral, Juan Bautista. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Centro de Investigaciones en Química Biológica de Córdoba. Universidad Nacional de Córdoba. Facultad de Ciencias Químicas. Centro de Investigaciones en Química Biológica de Córdoba; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Chalela Garcia, Martin. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; Argentina
Fil: Sánchez, Bruno Orlando. University of Duke; Estados Unidos
description A trending astronomical phenomenon is the variation in brightness of asteroids. This can be caused by its rotation on its own axis and/or its position relative to the sun. The latter behavior can be visualized on a phase curve, which shows the reduced magnitude as a function of the phase angle. To enable the comparison between several models for the dependence of reduced magnitude on phase angle we present a Python package called Pyedra. Pyedra implements three phase-curve-models, and also provides tools for visualization as well as integration with external datasets. The package is fully documented and tested following a strict quality-assurance workflow, with a user-friendly programmatic interface. In future versions, we will include more models, and additional estimation of quantities derived from parameters such as diameter and different albedos, and correlation of information of physical and orbital parameters.
publishDate 2022
dc.date.none.fl_str_mv 2022-01
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/11336/202765
Colazo, Milagros Rita; Cabral, Juan Bautista; Chalela Garcia, Martin; Sánchez, Bruno Orlando; Easy asteroid phase curve fitting for the Python ecosystem: Pyedra; Elsevier B.V.; Astronomy and Computing; 38; 100533; 1-2022; 1-5
2213-1337
CONICET Digital
CONICET
url http://hdl.handle.net/11336/202765
identifier_str_mv Colazo, Milagros Rita; Cabral, Juan Bautista; Chalela Garcia, Martin; Sánchez, Bruno Orlando; Easy asteroid phase curve fitting for the Python ecosystem: Pyedra; Elsevier B.V.; Astronomy and Computing; 38; 100533; 1-2022; 1-5
2213-1337
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ascom.2021.100533
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S2213133721000809
info:eu-repo/semantics/altIdentifier/arxiv/https://arxiv.org/abs/2103.06856
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier B.V.
publisher.none.fl_str_mv Elsevier B.V.
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
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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