J/A+A/658/A109 The SkyMapper DR3 SSOs (Sergeyev+, 2022)
Multifilter photometry of Solar System objects from the
SkyMapper Southern Survey.
Sergeyev A.V., Carry B., Onken C.A., Devillepoix H.A.R., Wolf C., Chang S.W.
<Astron. Astrophys. 658, A109 (2022)>
=2022A&A...658A.109S 2022A&A...658A.109S (SIMBAD/NED BibCode)
ADC_Keywords: Solar system ; Minor planets ; Comets ; Ephemerides ;
Photometry ; Colors
Keywords: minor planets, asteroids: general - catalogs
Abstract:
The populations of small bodies of the Solar System (asteroids,
comets, and Kuiper Belt objects) are used to constrain the origin and
evolution of the Solar System. Their orbital distribution and
composition distribution are both required to track the dynamical
pathway from their formation regions to their current locations.
We aim to increase the sample of Solar System objects (SSOs) that have
multifilter photometry and compositional taxonomy. Methods. We
searched for moving objects in the SkyMapper Southern Survey. We used
the predicted SSO positions to extract photometry and astrometry from
the SkyMapper frames. We then applied a suite of filters to clean the
catalog from false-positive detections. We finally used the
near-simultaneous photometry to assign a taxonomic class to objects.
We release a catalog of 880,528 individual observations, consisting of
205515 known and unique SSOs. The catalog completeness is estimated
to be about 97% down to V=18mag and the purity is higher than 95% for
known SSOs. The near-simultaneous photometry provides either three,
two, or a single color that we use to classify 117356 SSOs with a
scheme consistent with the widely used Bus-DeMeo taxonomy.
The present catalog contributes significantly to the sample of
asteroids with known surface properties (about 40% of main-belt
asteroids down to an absolute magnitude of 16). We will release more
observations of SSOs with future SkyMapper data releases.
Description:
There are four catalogs.
1. Taxonomy table contains the estimated taxonomy and orbital elements
of asteroids (skm-taxo.dat.
2. The object table contains a single entry per SSO, with its average
colors (skm-cobs.dat).
3. The color table contains all the measured SSO colors (skmcolor.dat).
4. The detection table contains 880528 observations of 205515 Solar
System objects (asteroids, KBO, and comets) (skm-obs.dat).
File Summary:
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FileName Lrecl Records Explanations
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ReadMe 80 . This file
skm-taxo.dat 511 120566 Taxonomy table contains the estimated taxonomy
and orbital elements of asteroids
skm-cobs.dat 70 664349 Object table contains a single entry per SSO,
with its average colors
skmcolor.dat 65 388098 Color table contains all the measured SSO colors
skm-obs.dat 190 880528 Detection table contains 880528 observations of
205515 Solar System objects
(asteroids, KBO, and comets); updated version
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Byte-by-byte Description of file: skm-taxo.dat
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Bytes Format Units Label Explanations
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2- 7 I6 --- Number ? SSO IAU number
9- 24 A16 --- Name SSO IAU designation name
26- 44 A19 --- DynClass SSO dynamic class
46- 52 F7.4 mag u-v ? u-v color magnitude values
54- 59 F6.4 mag u-g ? u-g color magnitude values
61- 66 F6.4 mag u-r ? u-r color magnitude values
68- 73 F6.4 mag u-i ? u-i color magnitude values
75- 80 F6.4 mag u-z ? u-z color magnitude values
82- 87 F6.4 mag v-g ? v-g color magnitude values
89- 94 F6.4 mag v-r ? v-r color magnitude values
96-101 F6.4 mag v-i ? v-i color magnitude values
103-108 F6.4 mag v-z ? v-z color magnitude values
110-116 F7.4 mag g-r ? g-r color magnitude values
118-124 F7.4 mag g-i ? g-i color magnitude values
126-132 F7.4 mag i-z ? i-z color magnitude values
134-140 F7.4 mag g-z ? g-z color magnitude values
142-148 F7.4 mag r-i ? r-i color magnitude values
150-156 F7.4 mag r-z ? r-z color magnitude values
158-163 F6.4 mag e_u-v ? u-v color uncertainties
165-170 F6.4 mag e_u-g ? u-g color uncertainties
172-177 F6.4 mag e_u-r ? u-r color uncertainties
179-184 F6.4 mag e_u-i ? u-i color uncertainties
186-191 F6.4 mag e_u-z ? u-z color uncertainties
193-198 F6.4 mag e_v-g ? v-g color uncertainties
200-205 F6.4 mag e_v-r ? v-r color uncertainties
207-212 F6.4 mag e_v-i ? v-i color uncertainties
214-219 F6.4 mag e_v-z ? v-z color uncertainties
221-226 F6.4 mag e_g-r ? g-r color uncertainties
228-233 F6.4 mag e_g-i ? g-i color uncertainties
235-240 F6.4 mag e_i-z ? i-z color uncertainties
242-247 F6.4 mag e_g-z ? g-z color uncertainties
249-254 F6.4 mag e_r-i ? r-i color uncertainties
256-261 F6.4 mag e_r-z ? r-z color uncertainties
263-269 F7.4 d Du-v ? u-v time values between observations
271-277 F7.4 d Du-g ? u-g time values between observations
279-285 F7.4 d Du-r ? u-r time values between observations
287-293 F7.4 d Du-i ? u-i time values between observations
295-301 F7.4 d Du-z ? u-z time values between observations
303-309 F7.4 d Dv-g ? v-g time values between observations
311-317 F7.4 d Dv-r ? v-r time values between observations
319-325 F7.4 d Dv-i ? v-i time values between observations
327-333 F7.4 d Dv-z ? v-z time values between observations
335-341 F7.4 d Dg-r ? g-r time values between observations
343-349 F7.4 d Dg-i ? g-i time values between observations
351-357 F7.4 d Di-z ? i-z time values between observations
359-365 F7.4 d Dg-z ? g-z time values between observations
367-373 F7.4 d Dr-i ? r-i time values between observations
375-381 F7.4 d Dr-z ? r-z time values between observations
383-388 F6.3 --- pC ? Probability of C complex
390-394 F5.3 --- pS ? Probability of S complex
396-400 F5.3 --- pB ? Probability of B complex
402-407 F6.3 --- pL ? Probability of L complex
409-413 F5.3 --- pD ? Probability of D complex
415-419 F5.3 --- pK ? Probability of K complex
421-425 F5.3 --- pX ? Probability of X complex
427-431 F5.3 --- pQ ? Probability of Q complex
433-437 F5.3 --- pV ? Probability of V complex
439-443 F5.3 --- pA ? Probability of A complex
445-449 F5.3 --- pU ? Probability of Unknown complex
457 A1 --- complex The most probably complex
463-467 F5.3 --- pcomplex ? Probability value of the complex
475-476 A2 --- complex1 First the most probably complex
484-485 A2 --- complex2 Second the most probably complex
492-496 F5.3 --- pcomplex1 ? Probability of first the most probably
complex
502-507 F6.3 --- pcomplex2 ? Probability of second the most probably
complex
511 I1 --- nc ? The taxonomy priority number based on used
colors
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Byte-by-byte Description of file: skm-cobs.dat
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Bytes Format Units Label Explanations
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2- 7 I6 --- Number ? SSO IAU number
9- 24 A16 --- Name SSO IAU designation name
26- 39 F14.6 d JD Average epoch of observation
43- 45 A3 --- Color Name of color (e.g., "u-v", "g-r", etc. )
47- 53 F7.4 mag color Magnitude value of the color
55- 60 F6.4 mag e_color Uncertainty on the color measurments
62- 70 F9.6 d dMJD Time difference between color measurements
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Byte-by-byte Description of file: skmcolor.dat
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Bytes Format Units Label Explanations
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2- 7 A6 --- Number SSO IAU number
9- 24 A16 --- Name SSO IAU designation name
28- 30 A3 --- Color Name of color (e.g., "u-v", "g-r", etc. )
32- 38 F7.4 mag wcolor Weighted value of the color
40- 45 F6.4 mag e_wcolor ?=- Weighted uncertainty of the color
measurements
47- 48 I2 --- N Number of color measurements, 0 - computed
50- 55 F6.4 mag e_color Uncertainty on the color measurments
57- 65 F9.6 d dMJD ?=- Time difference between color measurements
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Byte-by-byte Description of file: skm-obs.dat
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Bytes Format Units Label Explanations
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1- 10 I10 --- Source Source unique identifier
12- 25 I14 --- Frame Image unique identifier
27- 40 F14.6 d JD Julian Date of observation
47 A1 --- Filter Filter name (u,v,g,r,i,z)
54- 56 I3 s Exptime Exposure time
58- 67 F10.6 deg RAdeg Right Ascension (J2000)
69- 78 F10.6 deg DEdeg Declination (J2000)
80- 86 F7.4 mag psfmag PSF magnitude
92- 97 F6.4 mag e_psfmag PSF magnitude uncertainty
101-107 F7.4 mag petromag ?=- Petrosian magnitude
114-120 F7.4 mag e_petromag ?=- Petrosian magnitude uncertainty
123-128 A6 --- Number SSO IAU number
130-145 A16 --- Name SSO IAU designation name
147-165 A19 --- DynClass SSO dynamical class
167-175 F9.4 arcsec/h RArate RA cos(DEC) rate of motion
178-185 F8.3 arcsec/h DErate DEC rate of motion
187-190 F4.1 mag Vmag Predicted visual magnitude
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Acknowledgements:
This research has been conducted within the NEOROCKS project, which
has received funding from the European Union's Horizon 2020 research
and innovation programme under grant agreement No 870403. CAO was
supported by the Australian Research Council (ARC) through Discovery
Project DP190100252. SWC acknowledges support from the National
Research Foundation of Korea (NRF) grant, No.2020R1A2C3011091, funded
by the Korea government (MSIT).
We thank J. Berthier, F. Spoto, M. Mahlke for discussions related to
the present article.
The national facility capability for SkyMapper has been funded through
ARC LIEF grant LE130100104 from the Australian Research Council,
awarded to the University of Sydney, the Australian National
University, Swinburne University of Technology, the University of
Queensland, the University of Western Australia, the University of
Melbourne, Curtin University of Technology, Monash University and the
Australian Astronomical Observatory. SkyMapper is owned and operated
by The Australian National University's Research School of Astronomy
and Astrophysics.
The survey data were processed and provided by the SkyMapper Team at
ANU. The SkyMapper node of the All-Sky Virtual Observatory (ASVO) is
hosted at the National Computational Infrastructure (NCI). Development
and support of the SkyMapper node of the ASVO has been funded in part
by Astronomy Australia Limited (AAL) and the Australian Government
through the Commonwealth's Education Investment Fund (EIF) and
National Collaborative Research Infrastructure Strategy (NCRIS),
particularly the National eResearch Collaboration Tools and Resources
(NeCTAR) and the Australian National Data Service Projects (ANDS).
The Pan-STARRS1 Surveys (PS1) and the PS1 public science archive have
been made possible through contributions by the Institute for
Astronomy, the University of Hawaii, the Pan-STARRS Project Office,
the Max-Planck Society and its participating institutes, the Max
Planck Institute for Astronomy, Heidelberg and the Max Planck
Institute for Extraterrestrial Physics, Garching, The Johns Hopkins
University, Durham University, the University of Edinburgh, the
Queen's University Belfast, the Harvard-Smithsonian Center for
Astrophysics, the Las Cumbres Observatory Global Telescope Network
Incorporated, the National Central University of Taiwan, the Space
Telescope Science Institute, the National Aeronautics and Space
Administration under Grant No. NNX08AR22G issued through the Planetary
Science Division of the NASA Science Mission Directorate, the National
Science Foundation Grant No. AST-1238877, the University of Maryland,
Eotvos Lorand University (ELTE), the Los Alamos National Laboratory,
and the Gordon and Betty Moore Foundation.
This research made use of the cross-match service provided by CDS,
Strasbourg (Pineau et al., 2017A&A...597A..89P 2017A&A...597A..89P), the IMCCE's skybot
and Skybot3D VO tools (Berthier et al., 2006ASPC..351..367B 2006ASPC..351..367B,
2016MNRAS.458.3394B 2016MNRAS.458.3394B), the JPL Horizons system (Giorgini et al.,
1996DPS....28.2504G 1996DPS....28.2504G ), the SVO Filter Profile Service
(http://svo2.cab.inta-csic.es/theory/ fps/) supported from the Spanish
MINECO through grant AYA2017-84089 (Rodrigo et al., 2012, SVO Filter
Profile Service Version 1.0, Tech. rep.), and TOPCAT/STILTS (Taylor,
2005ASPC..347...29T 2005ASPC..347...29T ).
Thanks to the developpers.
History:
From Alexey Sergeyev, alexey.v.sergeyev(at)gmail.com
18-May-2022:Insert into VizieR
22-Feb-2023: Misprint in JD column for table skm-obs.dat corrected
(third digit was "9" instead of "5")
(End) Patricia Vannier [CDS] 17-Jan-2022