Asteroid taxonomy from cluster analysis of spectrometry and albedo
نویسندگان
چکیده
The classification of the minor bodies Solar System based on observables has been continuously developed and iterated over past 40 years. While prior iterations followed either availability large observational campaigns or new instrumental capabilities opening dimensions, we see opportunity to improve primarily upon established methodology. We an iteration asteroid taxonomy which allows partial complete observations (i.e. visible, near-infrared, visible-near-infrared spectrometry) reintroduces visual albedo into observables. resulting class assignments are given probabilistically, enabling uncertainty a be quantified. built 2983 2125 individual asteroids, representing almost tenfold increase sample size compared with previous taxonomy. classes identified in lower-dimensional representation using mixture common factor analysers model. identify 17 split three complexes C, M, S, including Z-class for extremely-red objects main belt. information resolves spectral degeneracy X-complex establishes P-class as part C-complex. present tool computes probabilistic within this taxonomic scheme from observations. classifications 6038 4526 asteroids published. ability classify reintroduction provide is well suited current future datasets observations, particular provided by Gaia, MITHNEOS, NEO Surveyor, SPHEREx surveys.
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ژورنال
عنوان ژورنال: Astronomy and Astrophysics
سال: 2022
ISSN: ['0004-6361', '1432-0746']
DOI: https://doi.org/10.1051/0004-6361/202243587