Machine Learning Assisted Dynamical Classification of Trans-Neptunian Objects

no code implementations • 8 May 2024 • Kathryn Volk, Renu Malhotra

Comparisons between the different dynamical classes of modeled and observed TNOs can help constrain the history of the outer solar system.

Classification

A Measurement of the Kuiper Belt's Mean Plane From Objects Classified By Machine Learning

1 code implementation • 27 Apr 2023 • Ian C. Matheson, Renu Malhotra

We find that the overall mean plane of the non-resonant Kuiper Belt (semimajor axis range 35-150 au) and also that of the classical Kuiper Belt (semimajor axis range 42-48 au) are both close to (within about 0. 7 degrees) but distinguishable from the invariable plane of the solar system to greater than 99. 7% confidence.

Refining the transit timing and photometric analysis of TRAPPIST-1: Masses, radii, densities, dynamics, and ephemerides

1 code implementation • 2 Oct 2020 • Eric Agol, Caroline Dorn, Simon L. Grimm, Martin Turbet, Elsa Ducrot, Laetitia Delrez, Michael Gillon, Brice-Olivier Demory, Artem Burdanov, Khalid Barkaoui, Zouhair Benkhaldoun, Emeline Bolmont, Adam Burgasser, Sean Carey, Julien de Wit, Daniel Fabrycky, Daniel Foreman-Mackey, Jonas Haldemann, David M. Hernandez, James Ingalls, Emmanuel Jehin, Zachary Langford, Jeremy Leconte, Susan M. Lederer, Rodrigo Luger, Renu Malhotra, Victoria S. Meadows, Brett M. Morris, Francisco J. Pozuelos, Didier Queloz, Sean M. Raymond, Franck Selsis, Marko Sestovic, Amaury H. M. J. Triaud, Valerie Van Grootel

We have collected transit times for the TRAPPIST-1 system with the Spitzer Space Telescope over four years.

Earth and Planetary Astrophysics

Dynamical instabilities in systems of multiple short-period planets are likely driven by secular chaos: a case study of Kepler-102

1 code implementation • 11 Mar 2020 • Kathryn Volk, Renu Malhotra

Our results support the hypothesis that secular chaos is the driver of instabilities in many non-resonant multi-planet systems, and also demonstrate that the spectral analysis method is an efficient numerical tool to diagnose long term (in)stability of multi-planet systems from short simulations.

Earth and Planetary Astrophysics