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Mining the Kilo-Degree Survey for solar system objects

hal.structure.identifierEuropean Space Astronomy Centre [ESAC]
dc.contributor.authorMAHLKE, M.
hal.structure.identifierCentro de Astrobiologia [Madrid] [CAB]
hal.structure.identifierM2A 2018
dc.contributor.authorBOUY, H.
hal.structure.identifierEuropean Space Astronomy Centre [ESAC]
dc.contributor.authorALTIERI, B.
hal.structure.identifierKapteyn Astronomical Institute [Groningen]
dc.contributor.authorVERDOES KLEIJN, G.
hal.structure.identifierJoseph Louis LAGRANGE [LAGRANGE]
hal.structure.identifierInstitut de Mécanique Céleste et de Calcul des Ephémérides [IMCCE]
dc.contributor.authorCARRY, B.
hal.structure.identifierInstitut d'Astrophysique de Paris [IAP]
dc.contributor.authorBERTIN, E.
hal.structure.identifierLeiden Observatory [Leiden]
dc.contributor.authorDE JONG, J. T. A.
hal.structure.identifierLeiden Observatory [Leiden]
dc.contributor.authorKUIJKEN, K.
hal.structure.identifierKapteyn Astronomical Institute [Groningen]
dc.contributor.authorMCFARLAND, J.
hal.structure.identifierKapteyn Astronomical Institute [Groningen]
dc.contributor.authorVALENTIJN, E.
dc.date.issued2018
dc.identifier.issn0004-6361
dc.description.abstractEnThe 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.
dc.language.isoen
dc.publisherEDP Sciences
dc.subject.enSurveys
dc.subject.enminor planets - asteroids: general
dc.title.enMining the Kilo-Degree Survey for solar system objects
dc.typeArticle de revue
dc.identifier.doi10.1051/0004-6361/201730924
dc.subject.halPlanète et Univers [physics]/Astrophysique [astro-ph]
dc.identifier.arxiv1711.02780
bordeaux.journalAstronomy and Astrophysics - A&A
bordeaux.pageA21
bordeaux.volume610
bordeaux.peerReviewedoui
hal.identifierhal-01633890
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01633890v1
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