collaborators

12 papers

astro-ph.GA2026

Predicting the Kinematics of the Cold Circumgalactic Medium from its Morphology using Convolutional Neural Networks

Connor Jennings, Earl P. Bellinger, Imad Pasha +2

We present a novel approach to predicting plane-of-sky velocities of cold gas clouds in the circumgalactic medium (CGM) of galaxies. The method uses a convolutional neural network…

astro-ph.GA2026

Beyond Cloud-9: The case for discovering more HI-rich failed halos

Jorge Moreno, Coral Wheeler, Francisco J. Mercado +8

HI-rich starless halos, should they exist, hold great promise for elucidating dark matter halo structure. Yet realizing this potential demands reliable theoretical predictions for…

astro-ph.GA2026

The quenched fraction of satellites around simulated Milky Way-mass galaxies

Francisco J. Mercado, Devontae C. Baxter, M. Katy Rodriguez Wimberly +7

We compare satellite quenched fractions across three cosmological simulation suites (FIREbox, the FIRE-2 zoom-ins, and IllustrisTNG50) and observational datasets from SAGA, ELVES,…

astro-ph.GA2026

Resolving galaxy formation in the early Universe with BonFIRE and CampFIRE

Jenna Samuel, Michael Boylan-Kolchin, Robert Feldmann +16

The abundance and rapid growth of galaxies at cosmic dawn revealed by the James Webb Space Telescope challenges models of galaxy formation, motivating new simulations to uncover th…

astro-ph.GA2026

From protogalaxy through thick and thin: Why did the Milky Way evolve in three kinematic phases?

Olti Myrtaj, James S. Bullock, Michael Boylan-Kolchin +8

APOGEE and Gaia data have revealed that the Milky Way's structure appears to have evolved through three distinct kinematic phases. First, at early cosmic times, the Milky Way was a…

astro-ph.HE2026

Compact Object Astrophysics with Frontline Astrometry

P. Gandhi

Astrometry - the precise measurement of celestial positions and motions - is entering the micro-arcsecond (as) era at multiple wavelengths, enabling new insights on compact obj…