Multi-filter photometry of Solar System Objects from the SkyMapper Southern Survey
A. V. Sergeyev (1, 7), B. Carry (1), C. A. Onken (2, 3), H. A., R. Devillepoix (4), C. Wolf (2, 3), S.-W. Chang (2, 5, 6) ((1), Universite Cote d'Azur, Observatoire de la Cote d'Azur, CNRS, Laboratoire, Lagrange, France(2) Research School of Astronomy, Astrophysics, Australian

TL;DR
This study utilizes SkyMapper Southern Survey data to identify and classify over 117,000 Solar System objects based on multi-filter photometry, significantly expanding the available compositional information for small bodies.
Contribution
It provides a large, publicly available catalog of SSO photometry and taxonomy, improving the sample size and coverage of asteroid surface properties.
Findings
Catalog includes 880,528 observations of 205,515 SSOs.
Achieves 97% completeness down to V=18 mag.
Classifies 117,356 SSOs using Bus-DeMeo taxonomy.
Abstract
Context. The populations of small bodies of the Solar System (asteroids, comets, Kuiper Belt objects) are used to constrain the origin and evolution of the Solar System. Both their orbital distribution and composition distribution are required to track the dynamical pathway from their regions of formation to their current locations. Aims. We aim at increasing the sample of Solar System objects (SSOs) that have multi-filter photometry and compositional taxonomy. Methods. We search for moving objects in the SkyMapper Southern Survey. We use the predicted SSO positions to extract photometry and astrometry from the SkyMapper frames. We then apply a suite of filters to clean the catalog for false-positive detections. We finally use the near-simultaneous photometry to assign a taxonomic class to objects. Results. We release a catalog of 880,528 individual observations, consisting of…
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