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Linking very short arcs from large database of asteroid observations

Published online by Cambridge University Press:  01 March 2016

Giovanni F. Gronchi
Affiliation:
Dipartimento di Matematica, Università di Pisa, Largo B. Pontecorvo 5, 56127 Pisa, Italy email: gronchi@dm.unipi.it, bagiugio@gmail.com, maro@mail.dm.unipi.it
Giulio Baù
Affiliation:
Dipartimento di Matematica, Università di Pisa, Largo B. Pontecorvo 5, 56127 Pisa, Italy email: gronchi@dm.unipi.it, bagiugio@gmail.com, maro@mail.dm.unipi.it
Stefano Marò
Affiliation:
Dipartimento di Matematica, Università di Pisa, Largo B. Pontecorvo 5, 56127 Pisa, Italy email: gronchi@dm.unipi.it, bagiugio@gmail.com, maro@mail.dm.unipi.it
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With the improvements of the observational technology for the new surveys the number of asteroid detections is rapidly increasing. For this reason we must use very efficient methods to compute orbits with these data. We have to identify observations taken in different nights as belonging to the same asteroid. If we do not have an efficient algorithm for that, the unidentified observation database can increase without control, and we risk to detect the same objects multiple times.

Type
Contributed Papers
Copyright
Copyright © International Astronomical Union 2016 

References

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