Bayes-based estimation of orbital parameters in hierarchical triple stellar systems
Abstract
This work presents a Bayesian methodology for estimating the orbital parameters in hierarchical triple stellar systems, using astrometry and radial velocity measurements, that considers the use of graphical models based on the system dynamics. Graphical models provide a novel way of performing the factorization of the joint distribution in terms of conditional independent components. Considering this factorization, certain orbital parameters get disjoint and, as a result, the estimation can be performed in a two-stage process independent of the available sources, that combines different observations sequentially. The method is employed in a few well-studied benchmark cases of triple systems and the results are very promising.
- Publication:
-
Boletin de la Asociacion Argentina de Astronomia La Plata Argentina
- Pub Date:
- August 2020
- Bibcode:
- 2020BAAA...61R.102V
- Keywords:
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- methods: data analysis;
- stars: fundamental parameters