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A new pipeline for astrometry and photometry of asteroids

Published online by Cambridge University Press:  03 March 2020

Y. Klç
Affiliation:
TÜBİTAK National Observatory, Antalya, Turkey email: [email protected] Department of Space Sciences and Technologies, Akdeniz University, Antalya, Turkey
M. Kaplan
Affiliation:
Department of Space Sciences and Technologies, Akdeniz University, Antalya, Turkey
Z. Eker
Affiliation:
Department of Space Sciences and Technologies, Akdeniz University, Antalya, Turkey
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Abstract

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Using Python 3, astropy and astrometry.net, we have developed a pipeline to obtain photometric light curves of asteroids automatically queried by the SkyBoT database from sequential FITS images. The pipeline provides: pre-reduction of data, astrometry, standard differential photometry and light curves by auto-selecting multiple comparison stars (maximum user-defined) from NOMAD catalog via VizieR. The code is an open source, free and hosted on GitHub with the GNU GPL v3 license.

Type
Contributed Papers
Copyright
© International Astronomical Union 2020