collaborators

25 papers

astro-ph.GA2026

The Twentieth Data Release of the Sloan Digital Sky Survey: First All-Sky BOSS Spectra, eROSITA-SDSS-V Mapper Coordinated Observations, and a Preview of the Local Volume Mapper

SDSS Collaboration, Mojgan Aghakhanloo, David Aguilar +273

The paper describes the twentieth data release (DR20) of the Sloan Digital Sky Survey, providing over 3 million new optical spectra from the SDSS‑V Milky Way, Black Hole, and Local…

astro-ph.GA2026

Charting the Galactic Underworld I: Comprehensive simulations of the kinematics, rates, and demographics of Milky Way black holes

Tom Wagg, Katelyn Breivik, Adrian M. Price-Whelan +3

With upcoming data from Roman, Gaia DR4, and spectroscopic surveys, we will soon have an unprecedented dataset of Milky Way black holes (BHs) to constrain their formation and evolu…

astro-ph.GA2026

The Milky Way - Large Magellanic Cloud Interaction with Simulation Based Inference

Richard A. N. Brooks, Jason L. Sanders, Vedant Chandra +4

The infall of the Large Magellanic Cloud (LMC) into the Milky Way (MW) has displaced the MW's centre of mass, manifesting as an observed reflex motion in the velocities of outer ha…

astro-ph.GA2026

Semi-Analytic Modeling of Dark Matter Subhalo Encounters with Thin Stellar Streams: Statistical Predictions for GD-1-like Streams in CDM

Duncan K. Adams, Aditya Parikh, Oren Slone +3

Stellar streams from disrupted globular clusters are dynamically cold structures that are sensitive to perturbations from dark matter subhalos, allowing them in principle to trace…

astro-ph.GA2026

Inferring Stellar Densities with Flexible Models I: The Distribution of RR Lyrae in the Milky Way with DR3

Madeline Lucey, Cecilia Mateu, Adrian Price-Whelan +3

Understanding the formation and evolutionary history of the Milky Way requires detailed mapping of its stellar components, which preserve fossil records of the Galaxy's assembly th…

astro-ph.IM2026

unxt: A Python package for unit-aware computing with JAX

Nathaniel Starkman, Adrian Price-Whelan, Jake Nibauer

unxt is a Python package for unit-aware computing with JAX. unxt is built on top of quax, which provides a framework for building array-like objects that can be used with JAX. unxt…