Taxonomic classification of asteroids based on MOVIS near-infrared colors
M. Popescu, J. Licandro, J. M. Carvano, R. Stoicescu, J. de Leon, D., Morate, I.L. Boaca, C. P. Cristescu

TL;DR
This study develops a probabilistic and k-nearest neighbors method to classify 18,265 asteroids from the MOVIS catalog based on near-infrared colors, comparing results with SDSS and WISE data, and reports detailed taxonomic distributions.
Contribution
Introduces a new NIR color-based classification method for asteroids, clustering Bus-DeMeo classes, and provides a comprehensive taxonomy for a large asteroid sample.
Findings
V-type and A-type asteroids have similar size distributions.
V-types are five times more common than A-types.
Final classification for 6,496 asteroids with high confidence.
Abstract
We aim to provide a taxonomic classification for asteroids observed by VISTA-VHS survey. We derive a method for assigning a compositional type to an object based on its (Y-J), (J-Ks), and (H-Ks) colors. We present a taxonomic classification for 18\,265 asteroids from the MOVIS catalog, using a probabilistic method and the k-nearest neighbors algorithm. Because our taxonomy is based only on NIR colors, several classes from Bus-DeMeo were clustered into groups and a slightly different notation was used (i.e. the superscript indicates that the classification was obtained based on the NIR colors and the subscript indicates possible miss-identifications with other types). Our results are compared with the information provided by the Sloan Digital Sky Survey (SDSS) and Wide-field Infrared Survey Explorer (WISE). The two algorithms used in this study give a taxonomic type for all objects…
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