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Massive physical and dynamical characterization of asteroids

Published online by Cambridge University Press:  01 August 2006

William Thuillot
Affiliation:
IMCCE, Paris Observatory, 77 avenue Denfert Rochereau, Paris, France email: [email protected], [email protected]
Jerôme Berthier
Affiliation:
IMCCE, Paris Observatory, 77 avenue Denfert Rochereau, Paris, France email: [email protected], [email protected]
Armand Sarkissian
Affiliation:
Service d'aéronomie, Institut Pierre Simon Laplace, France
Areg M. Mickaelian
Affiliation:
Byurakan Astrophysical Observatory, Armenia
Lena A. Sargsyan
Affiliation:
Byurakan Astrophysical Observatory, Armenia
Jesus Iglesias
Affiliation:
IMCCE, Paris Observatory, 77 avenue Denfert Rochereau, Paris, France email: [email protected], [email protected]
Valery Lainey
Affiliation:
IMCCE, Paris Observatory, 77 avenue Denfert Rochereau, Paris, France email: [email protected], [email protected]
Mirel Birlan
Affiliation:
IMCCE, Paris Observatory, 77 avenue Denfert Rochereau, Paris, France email: [email protected], [email protected]
Guy Simon
Affiliation:
GEPI, Observatoire Paris-Site de Meudon, 5 Pl J. Janssen, F-92195 Meudon Cedex, France email: [email protected]
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Numerous new Solar System objects, mainly asteroids, are still detected nowadays but their physical and dynamical characteristics remain not accurately determined, until dedicated observations and analysis are made. However, the Virtual Observatory is a perfect framework to search for this characterization by data mining. We are developing two studies for this goal by exploring the DENIS infrared and DFBS spectroscopic surveys. In order to scan the survey catalogues and to search for Solar System objects, we have developed a VO compliant workflow founded on the use of a recent VO tool labelled SkyBoT (Sky Bodies Tracker) (Berthier et al. 2005) and on the VizieR service provided by CDS. A public version of SkyBoT is implemented in the sky atlas Aladin since January 2006. It allows us to quickly get the precise coordinates of the asteroids, planets and natural satellites in any star field, provided we know its center, its size and the precise date of the exposure (between 1949 and 2009). Our data mining workflow performs cone search queries on SkyBoT and VizieR to extract all the known astronomical objects observed by the survey. Then the sources which are detected in the survey are correlated with the known objects to determine the matched and unmatched objects.

Type
Contributed Papers
Copyright
Copyright © International Astronomical Union 2007

References

Baudrand, A., Bec Borsenberger, A., & Borsenberger, J. 2004, A&A, 423, 381Google Scholar
Berthier, J., Vachier, F., Thuillot, W., et al. 2005, in: Proc. ADASS XV, ASP-CS, 351, 367Google Scholar
Mickaelian, A. M., Hagen, H.-J., Sargsyan, L. A., & Mikayelyan, G. A 2005, in: CDS VizieR On-line Data Catalog: VI/116Google Scholar