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Single and multiple solution algorithms to scan asteroid databases for identifications

Published online by Cambridge University Press:  01 August 2006

Maria E. Sansaturio  and
O. Arratia
Maria E. Sansaturio
Affiliation:
E.T.S. de Ingenieros Industriales, University of Valladolid, Paseo del Cauce s/n 47011 Valladolid, Spain email: genny@pisces.eis.uva.es
O. Arratia
Affiliation:
E.T.S. de Ingenieros Industriales, University of Valladolid, Paseo del Cauce s/n 47011 Valladolid, Spain email: genny@pisces.eis.uva.es
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Abstract

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The process of cataloguing the minor planet population of the Solar System has experienced a great advance in the last decades with the start-up of several surveys. The large volume of data generated by them has increased with time and given rise to huge databases of asteroids with uneven qualities.

In fact, a significant fraction of these objects have not been enough observed, thus leading to the computation of very poor quality orbits as to carry out useful predictions of the positions of such asteroids. As a result, some objects can get lost, which is particularly embarrassing for those with Earth crossing orbits.

When this situation persists for a long time, the aforementioned databases end up contaminated in the sense that they contain more than one discovery for the same physical object and some kind of action must be taken. The algorithms for asteroid identifications are thought precisely to mitigate this problem and their design will depend upon the quality of the available data for the objects to be identified.

In this paper we will distinguish two cases: when both objects have a nominal orbit and when one of them lacks it. In addition, when the available data poorly constrain the solution, other orbits in the neighbourhood of the nominal one are also compatible with the observations. Using these alternative orbits allows us to find many identifications that otherwise would be missed. Finally, we will show the efficiency of all these algorithms when applied to the datasets distributed by the Minor Planet Center.

Keywords

Asteroids, catalogsorbit determinationmultiple solutionsidentification
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 2 , Symposium S236: Near Earth Objects, our Celestial Neighbors: Opportunity and Risk , August 2006 , pp. 269 - 280
Copyright
Copyright © International Astronomical Union 2007

References

Milani, A. 1999, The Asteroid Identification Problem III. Proposing identifications, Icarus 137, 269.Google Scholar
Milani, A., LaSpina, A. Spina, A., Sansaturio, M. E. & Chesley, S. R. 2000, The Asteroid Identification Problem III. Proposing identifications, Icarus 144, 39.CrossRefGoogle Scholar
Milani, A., Sansaturio, M. E. & Chesley, S. R. 2001, The Asteroid Identification Problem IV. Attributions, Icarus 151, 150.CrossRefGoogle Scholar
Milani, A., Sansaturio, M. E., Tommei, G., Arratia, O. & Chesley, S. R. 2005, Multiple solutions for asteroid orbits: computational procedure and applications, Astron. Astrophys. 431, 729CrossRefGoogle Scholar