A million asteroid observations in the Sloan Digital Sky Survey

Sergeyev, A.; Carry, B.

doi:10.1051/0004-6361/202140430

Cited by 40 publications

(22 citation statements)

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“…Roig et al 2008). In late October I learned of the updated SDSS MOC published by Sergeyev & Carry (2021), and found that colors from another SDSS observation of 2004 JW 52 from 2008 were completely consistent with the GMOS-N spectrum (see Fig. 1).…”

Section: Resultsmentioning

confidence: 93%

“…Middle: Same as the top row, but taken during SDSS run 7754 in 2008, when 2004 JW52 was clear of background sources. Bottom: The new GMOS-N reflectance spectra of 2004 JW52 (each calibrated with a different Solar twin) plotted alongside coarse reflectance spectra derived from the 2005 and 2008 SDSS colors of the same object respectively reported in the catalogs of Ivezic et al (2002) and Sergeyev & Carry (2021). All datasets are scaled to unity at 0.75 µm, with one of the reflectance spectra offset by +0.25 for clarity.…”

Section: Observations and Data Reductionmentioning

confidence: 99%

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128383 (2004 JW52) is an Ordinary Jupiter Trojan Asteroid

Seccull¹

2022

Preprint

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The Jupiter Trojan asteroid 128383 (2004 JW 52 ) was recently reported to have optical colors that are incongruous with its dynamical class. New and archival observations show that this is not the case. This is a reminder that we must always rule out the possibility that the Point Spread Function (PSF) of a minor planet is blended with that of a background sidereal source in survey images before its colors in the associated survey catalog can be considered reliable.

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Section: Resultsmentioning

confidence: 93%

Section: Observations and Data Reductionmentioning

confidence: 99%

128383 (2004 JW52) is an Ordinary Jupiter Trojan Asteroid

Seccull¹

2022

Preprint

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“…Spectrophotometry has been a very important tool for understanding the compositional big picture of the asteroid population. Initiated in the 1980s with the Eight Color Asteroid Survey (ECAS, Zellner et al 1985), spectrophotometric asteroid surveys evolved with the 24-colour asteroid survey (Chapman et al 2005), the 52-colour survey (Bell et al 1988), the Seven Colour Asteroid Survey in the infrared (Clark et al 1993), the moving object component of the Sloan digital sky survey (SDSS) , which in its latest analysis provided measurements for 379 714 known asteroids (Sergeyev & Carry 2021). Moreover, we recall the near-infrared (NIR) colours of asteroids recovered from the Visible and Infrared Survey Telescope for Astronomy -VISTA Hemisphere Survey (VISTA-VHS) and the Moving Objects from VISTA survey (MOVIS; Popescu et al 2016), the Korea Microlensing Telescope Network-South African Astronomical Observatory (KMTNET-SAAO) Multi-band Photometry survey (Erasmus et al 2019), the moving object observations from the Javalambre Photometric Local Universe Survey (J-PLUS) (Morate et al 2021), and the multi-filter photometry of Solar System objects from the SkyMapper Southern Survey (Sergeyev et al 2022).…”

Section: Introductionmentioning

confidence: 99%

GaiaData Release 3

Delbò¹,

Angeli²,

Pauwels³

et al. 2023

A&A

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Context. The Gaia mission of the European Space Agency (ESA) has been routinely observing Solar System objects (SSOs) since the beginning of its operations in August 2014. The Gaia data release three (DR3) includes, for the first time, the mean reflectance spectra of a selected sample of 60 518 SSOs, primarily asteroids, observed between August 5, 2014, and May 28, 2017. Each reflectance spectrum was derived from measurements obtained by means of the Blue and Red photometers (BP/RP), which were binned in 16 discrete wavelength bands. For every spectrum, the DR3 also contains additional information about the data quality for each band. Aims. We describe the processing of the Gaia spectral data of SSOs, explaining both the criteria used to select the subset of asteroid spectra published in Gaia DR3, and the different steps of our internal validation procedures. In order to further assess the quality of Gaia SSO reflectance spectra, we carried out external validation against SSO reflectance spectra obtained from ground-based and space-borne telescopes and available in the literature; we present our validation approach. Methods. For each selected SSO, an epoch reflectance was computed by dividing the calibrated spectrum observed by the BP/RP at each transit on the focal plane by the mean spectrum of a solar analogue. The latter was obtained by averaging the Gaia spectral measurements of a selected sample of stars known to have very similar spectra to that of the Sun. Finally, a mean of the epoch reflectance spectra was calculated in 16 spectral bands for each SSO. Results. Gaia SSO reflectance spectra are in general agreement with those obtained from a ground-based spectroscopic campaign specifically designed to cover the same spectral interval as Gaia and mimic the illumination and observing geometry characterising Gaia SSO observations. In addition, the agreement between Gaia mean reflectance spectra and those available in the literature is good for bright SSOs, regardless of their taxonomic spectral class. We identify an increase in the spectral slope of S-type SSOs with increasing phase angle. Moreover, we show that the spectral slope increases and the depth of the 1 µm absorption band decreases for increasing ages of S-type asteroid families. The latter can be interpreted as proof of progressive ageing of S-type asteroid surfaces due to their exposure to space weathering effects.

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“…In particular, the Sloan Digital Sky Survey (SDSS, York et al, 2000), by-design a survey for galaxies, has been a valuable resource for asteroid characterization. DeMeo and Carry (2013) were able to classify tens of thousands of asteroids from the SDSS Moving Object Survey database (Ivezić et al, 2002) into the Bus-DeMeo taxonomy, and recently Sergeyev and Carry (2021) performed probabilistic classifications for almost 400,000 asteroids in the SDSS data. These results have been essential in mapping the spectral distribution of asteroids in the main belt, opening insights to the mechanisms sculpting the Solar System (e.g., Raymond and Nesvorný, 2021, and references therein).…”

Section: Introductionmentioning

confidence: 99%

Taxonomy of Asteroids From the Legacy Survey of Space and Time Using Neural Networks

Penttilä

Fedorets

Muinonen

2022

Front. Astron. Space Sci.

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The Legacy Survey of Space and Time (LSST) is one of the ongoing or future surveys, together with the Gaia and Euclid missions, which will produce a wealth of spectrophotometric observations of asteroids. This article shows how deep learning techniques with neural networks can be used to classify the upcoming observations, particularly from LSST, into the Bus-DeMeo taxonomic system. We report here a success ratio in classification up to 90.1% with a reduced set of Bus-DeMeo types for simulated observations using the LSST photometric filters. The scope of this work is to introduce tools to link future observations into existing Bus-DeMeo taxonomy.

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A million asteroid observations in the Sloan Digital Sky Survey

Cited by 40 publications

References 61 publications

128383 (2004 JW52) is an Ordinary Jupiter Trojan Asteroid

128383 (2004 JW52) is an Ordinary Jupiter Trojan Asteroid

GaiaData Release 3

Taxonomy of Asteroids From the Legacy Survey of Space and Time Using Neural Networks

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