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J/A+A/610/A21       KiDS Survey for solar system objects mining  (Mahlke+, 2018)

Mining the Kilo-Degree Survey for solar system objects. Mahlke M., Bouy H., Altieri B., Verdoes Kleijn G., Carry B., Bertin E., de Jong J.T.A., Kuijken K., McFarland J., Valentijn E. <Astron. Astrophys. 610, A21 (2018)> =2018A&A...610A..21M (SIMBAD/NED BibCode)
ADC_Keywords: Surveys ; Minor planets ; Positional data ; Magnitudes ; Solar system Keywords: Surveys: KiDS - Minor planets, asteroids: general 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 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 346deg2 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. Description: Provided are the observations of the 28,290 SSO candidates recovered from the KiDS survey. The candidates are split up into two subsamples; the first contains 20,221 candidates with an estimated false-positive content of less than 0.05%. The second sample contains 8,069 candidates with only three observations each or close to bright stars, with an estimated false-positive content of approximately 24%. Provided are the recovered positions in right ascension and declination, the observation epochs, the calculated proper motions, the magnitudes, the observation bands, and the object name and expected visual magnitude if the object was matched to a SkyBoT object (entries are empty if no match was found). File Summary:
FileName Lrecl Records Explanations
ReadMe 80 . This file large.dat 139 91454 Sample of 20221 SSOs with false- positive content below 0.05% small.dat 139 25448 Sample of 8069 SSOs with false-positive content of about 24%
Byte-by-byte Description of file: large.dat small.dat
Bytes Format Units Label Explanations
1- 6 I6 --- Number ID number of single observation 8- 12 I5 --- Source ID number of SSO candidate 14- 23 F10.6 deg RAdeg Right ascension (J2000.0) 25- 32 F8.6 arcsec e_RAdeg Uncertainty of right ascension (J2000.0) 34- 43 F10.6 deg DEdeg Declination (J2000.0) 45- 52 F8.6 arcsec e_DEdeg Uncertainty of declination (J2000.0) 54- 64 F11.6 yr Epoch Observation epoch 66 A1 --- Band [ugri] Observation band 67- 76 F10.6 mag mag Observed SSO magnitude (1) 78- 85 F8.6 mag e_mag Uncertainty of observed SSO magnitude 87- 97 F11.6 arcsec/h pmRA Proper motion in RA 99-109 F11.6 arcsec/h pmDE Proper motion in DE 111-118 F8.6 arcsec/h e_pm Uncertainty on proper motion 120-134 A15 --- SkybotName SkyBoT match Name 136-139 F4.1 --- Skybotmag ? SkyBoT match visual magnitude
Note (1): The method is susceptible to artifacts in the images and the small.dat sample contains about 24% of false-positive.
Acknowledgements: Max Mahlke, max.mahlke(at)
(End) Max Mahlke [RWTH, Aachen], Patricia Vannier [CDS] 25-Oct-2017
The document above follows the rules of the Standard Description for Astronomical Catalogues.From this documentation it is possible to generate f77 program to load files into arrays or line by line

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