Probabilistic Modeling of Asteroid Diameters from Gaia DR2 Errors

Autor: Valerio Carruba, Emille E. O. Ishida, Rafael S. de Souza, Mariela Huaman Espinoza, Safwan Alijbaae, William Barletta, R. C. Domingos, Alberto Krone-Martins
Přispěvatelé: Laboratoire de Physique de Clermont (LPC), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA)
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Res.Notes AAS
Res.Notes AAS, 2021, 5 (8), pp.199. ⟨10.3847/2515-5172/ac205e⟩
DOI: 10.3847/2515-5172/ac205e⟩
Popis: The Gaia Data Release 2 provides precise astrometry for nearly 1.5 billion sources across the entire sky, including several thousand asteroids. In this work, we provide evidence that reasonably large asteroids (diameter $>$ 20 km) have high correlations with Gaia relative flux uncertainties and systematic right ascension errors. We further capture these correlations using a logistic Bayesian additive regression tree model. We compile a small list of probable large asteroids that can be targeted for direct diameter measurements and shape reconstruction.
3 pages, 1 figure, accepted for publication at Research Notes of the AAS
Databáze: OpenAIRE