Identifying the population of stable ?6 resonant asteroids using large data bases

ABSTRACT Large observational surveys, like those that will be conducted at the Vera C. Rubin Observatory, are expected to discover up one million new asteroids in first year of operation. This more than double data base known asteroids. New methods needed handle large influx data. Here, we tested some these approaches by studying population on stable orbits inside ?6 secular resonance. resonance is strongest mechanisms for destabilizing main-belt bodies and producing Near-Earth Asteroids. Yet, orbital configurations where asteroid pericenter either aligned or anti-aligned with Saturn exist The resonators now largest a obtained sample asteroids’ proper elements ever used. Clustering use machine learning algorithms permitted identification families crossed two entirely groups: Tiffanykapler 138605 QW177 families. family young found linear resonance, an age 3.0 ± 1.2 My ejection velocity field parameter $V_{\mathrm{ EJ}} = 15^{+6}_{-3}$ m s?1. We identify high-eccentricity objects around Tina may example ‘resonant halo’.