Machine learning-based identification of Gaia astrometric exoplanet orbits

arXiv:2404.09350v1 Announce Type: cross
Abstract: The third Gaia data release (DR3) contains $\sim$170 000 astrometric orbit solutions of two-body systems located within $\sim$500 pc of the Sun. Determining component masses in these systems, in particular of stars hosting exoplanets, usually hinges on incorporating complementary observations in addition to the astrometry, e.g. spectroscopy and radial velocities. Several DR3 two-body systems with exoplanet, brown-dwarf, stellar, and black-hole components have been confirmed in this way. We developed an alternative machine learning approach that …

abstract arxiv astro-ph.ep astro-ph.im astro-ph.sr cs.lg data exoplanet exoplanets hosting identification machine machine learning release sim solutions spectroscopy systems type