J/A+A/679/A148 Compositional properties of NEOs (Sergeyev+, 2023)
Compositional properties of planet-crossing asteroids from astronomical surveys
Sergeyev A.V., Carry B., Marsset M., Pravec P., Perna D., DeMeo F.E.,
Petropoulou V., Lazzarin M., La Forgia F., Di Petro I., the NEOROCKS team
<Astron. Astrophys. 679, A148 (2023)>
=2023A&A...679A.148S 2023A&A...679A.148S (SIMBAD/NED BibCode)
ADC_Keywords: Minor planets; Surveys ; Photometry, SDSS ; Optical
Keywords: minor planets, asteroids: general - methods: data analysis - surveys -
techniques: photometric
Abstract:
The study of planet-crossing asteroids is of both practical
and fundamental importance. As they are closer than asteroids in the
Main Belt, we have access to a smaller size range, and this population
frequently impacts planetary surfaces and can pose a threat to life.
We aim to characterize the compositions of a large corpus of planet-
crossing asteroids and to study how these compositions are related to
orbital and physical parameters.
We gathered publicly available visible colors of near-Earth objects
(NEOs) from the Sloan Digital Sky Survey (SDSS) and SkyMapper surveys.
We also computed SDSS-compatible colors from reflectance spectra of
the Gaia mission and a compilation of ground-based observations. We
determined the taxonomy of each NEO from its colors and studied the
distribution of the taxonomic classes and spectral slope against the
orbital parameters and diameter.
We provide updated photometry for 470 NEOs from the SDSS, and
taxonomic classification of 7,401 NEOs. We classify 42 NEOs that are
mission-accessible, including six of the seven flyby candidates of the
ESA Hera mission. We confirm the perihelion dependance of spectral
slope among S-type NEOs, likely related to a rejuvenation mechanism
linked with thermal fatigue. We also confirm the clustering of A-type
NEOs around 1.5-2AU, and predict the taxonomic distribution of
small asteroids in the NEO source regions in the Main Belt.
Description:
We combined a large sample of colors of planet-crossing asteroids,
combining broadband photometry from the SDSS (Sergeyev & Carry,
2021A&A...652A..59S 2021A&A...652A..59S, Cat. J/A+A/652/A59) and SkyMapper Southern Survey
(SMSS, Sergeyev et al., 2022A&A...658A.109S 2022A&A...658A.109S, Cat. J/A+A/658/A109)
surveys and reflectance spectroscopy from the ESA Gaia mission (Gaia
Collaboration, 2023A&A...674A..35G 2023A&A...674A..35G) and ground-based observations
(Classy; Mahlke et al., 2022A&A...665A..26M 2022A&A...665A..26M, Cat. J/A+A/665/A26). We
determined the taxonomy of 7398 NEOs, with diameters from
approximately 10km to 50m.
File Summary:
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FileName Lrecl Records Explanations
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ReadMe 80 . This file
catalog.dat 267 7398 *Colors of near-Earth objects (NEOs) from the
Sloan Digital Sky Survey (SDSS) and SkyMapper
surveys
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Note on catalog.dat: We excluded three Mars-Crosser asteroids from the latest
data set release due to significant observation uncertainties.
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See also:
B/astorb : Orbits of Minor Planets (Bowell+ 2014-)
J/A+A/652/A59 : SDSS Solar System Objects (Sergeyev+, 2021)
J/A+A/658/A109 : The SkyMapper DR3 SSOs (Sergeyev+, 2022)
J/A+A/665/A26 : Asteroid taxonomy (Mahlke+, 2022)
J/A+A/674/A50 : Near-Earth Object (NEO) properties (Deshapriya+, 2023)
https://www.minorplanetcenter.net/iau/mpc.html : MPC Home Page
https://ssd.jpl.nasa.gov/tools/sbdb_lookup.html#/ : SBDB Home Page
Byte-by-byte Description of file: catalog.dat
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Bytes Format Units Label Explanations
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1- 10 A10 --- Design SSO IAU designation (designation)
12- 17 I6 --- Number ? SSO IAU number (number)
19- 35 A17 --- Name SSO IAU name (name)
37- 49 A13 --- DynClass NEOs dynamic class (dynclass)
51- 57 F7.4 mag g-r ? g-r color magnitude value (mgr)
59- 65 F7.4 mag g-i ? g-i color magnitude value (mgi)
67- 73 F7.4 mag r-i ? r-i color magnitude value (mri)
75- 81 F7.4 mag i-z ? i-z color magnitude value (miz)
83- 89 F7.4 mag e_g-r ? g-r color uncertainty (egr)
91- 97 F7.4 mag e_g-i ? g-i color uncertainty (egi)
99-105 F7.4 mag e_r-i ? r-i color uncertainty (eri)
107-113 F7.4 mag e_i-z ? i-z color uncertainty (eiz)
115-123 E9.6 d dgr ? The time between g and r observation (dgr)
125-133 E9.6 d dgi ? The time between g and i observation (dgu)
135-143 E9.6 d dri ? The time between r and i observation (dri)
145-153 E9.6 d diz ? The time between i and z observation (diz)
155-160 A6 --- sgr The source of g and r observation (sgr) (1)
162-167 A6 --- sgi The source of g and i observation (sgi) (1)
169-174 A6 --- sri The source of r and i observation (sri) (1)
176-181 A6 --- siz The source of i and z observation (siz) (1)
183 A1 --- Complex [ABCDKLQSUVX] The most probable complex
(complex)
185-188 F4.2 --- pComplex Probability value of the complex (pcomplex)
190-191 A2 --- C1 The first most probable complex (c1)
193-196 F4.2 --- pC1 ? Probability of the first probable complex
(pc1)
198-199 A2 --- C2 The second most probable complex (c2)
201-204 F4.2 --- pC2 ? Probability of the second probable complex
(pc2)
206-209 A4 --- TMethod The method used for taxonomy classification
(tmethod)
211-216 F6.4 --- Albedo ? SSO albedo value (albedo)
218-223 F6.4 --- e_Albedo ? SSO albedo uncertainty (albedo_err)
225-231 F7.5 AU a SSO semi-major axis (semimajor_axis)
233-238 F6.4 --- e SSO eccentricity (eccentricity)
240-247 F8.4 deg i SSO inclination (inclination)
249-256 F8.6 AU q SSO perihelion distance (perihelion_distance)
258-262 F5.2 mag MAG ? SSO absolute magnitude (absolute_magnitude)
264-267 A4 --- Origin Most probable asteroids' origin region
(origin)
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Note (1): Source of observation as follows:
skm = SkyMapper (Sergeyev et al., 2022A&A...658A.109S 2022A&A...658A.109S,
Cat. J/A+A/658/A109)
gaia = Gaia (Gaia Collaboration, 2023A&A...674A..35G 2023A&A...674A..35G)
sdss = SDSS, (Sergeyev & Carry, 2021A&A...652A..59S 2021A&A...652A..59S,
Cat. J/A+A/652/A59)
classy = ground-based observation (Mahlke et al.,
2022A&A...665A..26M 2022A&A...665A..26M, Cat. J/A+A/665/A26)
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History:
From Alexey Sergeyev alexey.v.sergeyev(at)gmail.com
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. This work
has made use of data from the European Space Agency (ESA) mission
Gaia. Funding for SDSS-III has been provided by the Alfred P. Sloan
Foundation, the Participating Institutions, the National Science
Foundation, and the U.S. Department of Energy Office of Science. We
thank 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.
(End) Patricia Vannier [CDS] 21-Aug-2023