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Pavan Vynatheya (Max Planck Institute for Astrophysics, Garching, Germany)
Date & Time
Thu, 17 November 2022, 15:00 to 16:30
Online and Feynman Lecture Hall

We present two approaches to determine the dynamical stability of a hierarchical triple-star system. The first is an improvement on the Mardling-Aarseth stability formula from 2001, where we introduce a dependence on inner orbital eccentricity and improve the dependence on mutual orbital inclination. The second involves a machine learning approach, where we use a multilayer perceptron (MLP) to classify triple-star systems as `stable' and `unstable'. To achieve this, we generate a large training data set of 10^6 hierarchical triples using the N-body code MSTAR. Both our approaches perform better than previous stability criteria, with the MLP model performing the best.

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Meeting ID: 885 2680 1649
Passcode: 171717