One of the main bottleneck in assessing the accuracy of Mars orbit is the unknown value of the asteroids in the Main Asteroid Belt. 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.
@article{arxiv.2505.10487,
title = {Boosting decision trees for Main Belt Asteroid selection in planetary ephemerides: an alternative model},
author = {Vincenzo Mariani and Agnès Fienga and Zachary Murray and Mickaël Gastineau and Jacques Laskar},
journal= {arXiv preprint arXiv:2505.10487},
year = {2025}
}
Comments
16 pages: 11 pages for main body, 5 pages for appendix. 11 figures