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When Streams Curve Away: a Test of Dark Matter from Extragalactic Stellar Stream Populations
Nathaniel Starkman, Jacob Nibauer, Sarah Pearson +2
The nature of dark matter sets the shape of galactic halos: collisionless cold dark matter (CDM) predicts triaxial halos, while scattering in self-interacting dark matter (SIDM) ro…
Reconstructing Galactic Gravitational Potentials from Stellar Kinematics with Physics-Informed Neural Networks
Charlotte Myers, Nathaniel Starkman, Lina Necib
The gravitational potential of a galaxy encodes its mass distribution, formation history, and dark matter halo structure. Accurate potential models are therefore critical for inter…
Potamides: Mapping Dark Matter Halo Shapes from Stellar Stream Tracks in the Local Universe
Sirui Wu, Nathaniel Starkman, Sarah Pearson +3
Stellar streams trace the gravitational potential of their host galaxies and offer a direct probe of dark matter halo geometry. Cosmological simulations predict that halo shapes de…
Galactic Amnesia: The Information Washout of the Milky Way Merger History
Lina Necib, Dylan Folsom, Elliot Y. Davies +2
The merger history of a galaxy leaves imprints on its present-day stellar chemodynamics, yet dynamical processes progressively erase this record. We ask: how far back in time, and…
Physics-Informed Neural Networks for Modeling Galactic Gravitational Potentials
Charlotte Myers, Nathaniel Starkman, Lina Necib
We introduce a physics-informed neural framework for modeling static and time-dependent galactic gravitational potentials. The method combines data-driven learning with embedded ph…
: Hamiltonian Perturbation Theory for Stellar Streams in Flexible Potentials with Differentiable Simulations
Jacob Nibauer, Ana Bonaca, David N. Spergel +4
Stellar streams retain a memory of their gravitational interactions with small-scale perturbations. While perturbative models for streams have been formulated in action-angle coord…