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 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:
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FileName Lrecl Records Explanations
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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%
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Byte-by-byte Description of file: large.dat small.dat
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Bytes Format Units Label Explanations
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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
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Note (1): The method is susceptible to artifacts in the images and the small.dat
sample contains about 24% of false-positive.
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Acknowledgements:
Max Mahlke, max.mahlke(at)rwth-aachen.de
(End) Max Mahlke [RWTH, Aachen], Patricia Vannier [CDS] 25-Oct-2017