Minimum orbital intersection distance: asymptotic approach

Hedo Rodríguez, José Manuel ORCID: https://orcid.org/0000-0003-3599-9486, Fantino, Elena, Ruiz Delgado, Manuel ORCID: https://orcid.org/0000-0002-1198-5162 and Peláez Álvarez, Jesús ORCID: https://orcid.org/0000-0001-9755-1674 (2019). Minimum orbital intersection distance: asymptotic approach. "Astronomy & Astrophysics", v. A22 ; ISSN 1432-0746. https://doi.org/10.1051/0004-6361/201936502.

Descripción

Título: Minimum orbital intersection distance: asymptotic approach
Autor/es:
Tipo de Documento: Artículo
Título de Revista/Publicación: Astronomy & Astrophysics
Fecha: 2019
ISSN: 1432-0746
Volumen: A22
Materias:
ODS:
Palabras Clave Informales: Minor planets, asteroids: general; methods: numerical; Celestial mechanics
Escuela: E.T.S. de Ingeniería Aeronáutica y del Espacio (UPM)
Departamento: Física Aplicada a las Ingenierías Aeronáutica y Naval
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

Texto completo

[thumbnail of INVE_MEM2019_305961.pdf]
Vista Previa
PDF (Portable Document Format) - Se necesita un visor de ficheros PDF, como GSview, Xpdf o Adobe Acrobat Reader
Descargar (285kB) | Vista Previa

Resumen

The minimum orbital intersection distance is used as a measure to assess potential close approaches and collision risks between astronomical objects. Methods to calculate this quantity have been proposed in several previous publications. The most frequent case is that in which both objects have elliptical osculating orbits. When at least one of the two orbits has low eccentricity, the latter can be used as a small parameter in an asymptotic power series expansion. The resulting approximation can be exploited to speed up the computation with negligible cost in terms of accuracy. This contribution introduces two asymptotic procedures into the SDG-MOID method presented in a previous article, it discusses the results of performance tests and their comparisons with previous findings. The best approximate procedure yields a reduction of 40% in computing speed without degrading the accuracy of the determinations. This remarkable result suggests that large benefits can be obtained in applications involving massive distance computations, such as in the analysis of large databases, in Monte Carlo simulations for impact risk assessment or in the long-time monitoring of the MOID between two objects

Proyectos asociados

Tipo
Código
Acrónimo
Responsable
Título
Gobierno de España
ESP2017-87271-P
Sin especificar
Sin especificar
Análisis dinámico de misiones interplanetarias complejas

Más información

ID de Registro: 67853
Identificador DC: https://oa.upm.es/67853/
Identificador OAI: oai:oa.upm.es:67853
URL Portal Científico: https://portalcientifico.upm.es/es/ipublic/item/6016095
Identificador DOI: 10.1051/0004-6361/201936502
URL Oficial: https://www.aanda.org/articles/aa/full_html/2020/0...
Depositado por: Memoria Investigacion
Depositado el: 20 Dic 2021 11:23
Ultima Modificación: 12 Nov 2025 00:00