Mining the Kilo-Degree Survey for solar system objects

Abstract

The search for minor bodies in the solar system promises insights into its formation history. Wide imaging surveys offer the opportunity to serendipitously discover and identify these traces of planetary formation and evolution. We aim to present a method to acquire position, photometry, and proper motion measurements of solar system objects in surveys using dithered image sequences. The application of this method on the Kilo-Degree Survey is demonstrated. Optical images of 346 square degree fields of the sky are searched in up to four filters using the AstrOmatic software suite to reduce the pixel to catalog data. The solar system objects within the acquired sources are selected based on a set of criteria depending on their number of observation, motion, and size. The Virtual Observatory SkyBoT tool is used to identify known objects. We observed 20,221 SSO candidates, with an estimated false-positive content of less than 0.05%. Of these SSO candidates, 53.4% are identified by SkyBoT. KiDS can detect previously unknown SSOs because of its depth and coverage at high ecliptic latitude, including parts of the Southern Hemisphere. Thus we expect the large fraction of the 46.6% of unidentified objects to be truly new SSOs. Our method is applicable to a variety of dithered surveys such as DES, LSST, and Euclid. It offers a quick and easy-to-implement search for solar system objects. SkyBoT can then be used to estimate the completeness of the recovered sample.

arXiv commentFinal version to be published in A&A. Supplementary data will be published at CDS. 11 pages, 15 figures

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Cited by in corpus (13)

• Euclid. I. Overview of the Euclid mission
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• Photometric redshifts for the Kilo-Degree Survey. Machine-learning analysis with artificial neural networks
• A million asteroid observations in the Sloan Digital Sky Survey
• Solar System Science with ESA Euclid
• Detecting solar system objects with convolutional neural networks
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• Euclid: Identification of asteroid streaks in simulated images using StreakDet software
• The ssos Pipeline: Identification of Solar System Objects in Astronomical Images
• Potential asteroid discoveries by the ESA Gaia mission: Results from follow-up observations
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• Mega-Archive and the EURONEAR Tools for Datamining World Astronomical Images
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