Galactic potential constraints from clustering in action space of combined stellar stream data

no code implementations • 1 Jul 2020 • Stella Reino, Elena M. Rossi, Robyn E. Sanderson, Elena Sellentin, Amina Helmi, Helmer H. Koppelman, Sanjib Sharma

We fit a common gravitational potential to multiple stellar streams simultaneously by maximizing the clustering of the stream stars in action space.

Astrophysics of Galaxies

Cataloging Accreted Stars within Gaia DR2 using Deep Learning

no code implementations • 15 Jul 2019 • Bryan Ostdiek, Lina Necib, Timothy Cohen, Marat Freytsis, Mariangela Lisanti, Shea Garrison-Kimmel, Andrew Wetzel, Robyn E. Sanderson, Philip F. Hopkins

The goal of this study is to present the development of a machine learning based approach that utilizes phase space alone to separate the Gaia DR2 stars into two categories: those accreted onto the Milky Way from those that are in situ.

Transfer Learning