4 papers
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…
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…
Updated and Projected Cosmic Microwave Background Bounds on WIMP Annihilation
Charlotte Myers, Dominic Agius, Daniele Gaggero +1
We derive updated Cosmic Microwave Background (CMB) constraints on annihilating dark matter, and present forecasts for upcoming CMB surveys. We show that the addition of recent tem…
WTP19aalnxx: Discovery of a bright mid-infrared transient in the emerging class of low luminosity supernovae revealed by delayed circumstellar interaction
Charlotte Myers, Kishalay De, Lin Yan +11
While core-collapse supernovae (SNe) often show early and consistent signs of circumstellar (CSM) interaction, some exhibit delayed signatures due to interaction with distant mater…