Asteroid masses obtained in INPOP25c

Nowadays a modeling with 343 asteroids as point masses is used, with the relative masses fitted to observational data. In the current work we propose an innovative methodology to reduce the number of asteroids implemented as point masses, thus reducing the number of parameters to be fitted, without a significant degradation of the postfit residuals.

We use boosting decision trees to get a ranking by relative importance of the 343 asteroids of the current Main Belt modeling. We have been able to remove more than 100 of them without significantly degrading the postfit residuals and with a significant improvement of the uncertainties. Furthermore, we verified that the postfit masses found with the new modeling (INPOP25c) are consistent with respect to mass estimation found with an independent approach by means of albedo properties of the asteroids.