collaborators

6 papers

astro-ph.SR2026

Sr and Ba yields of the First Generation(s) of stars: Constraints from metal-poor stars

Sarah Hughes, Anna Frebel, Xiaowei Ou +6

We present our chemical abundance analysis of ten new extremely metal-poor stars with $-4.05\leq\mbox{[Fe/H]}\leq-2.33$, based on high-resolution (R ) Magellan/MIKE spe…

astro-ph.GA2026

Carbon Abundances in Metal-Poor Stars Reveal Distinct Galaxy and Star Formation Pathways in the Early Universe

Alexander Yelland, Anna Frebel, Xiaowei Ou +2

Carbon-enhanced metal-poor (CEMP; with and ) stars preserve information about early chemical enrichment, low-mass star formation, and th…

astro-ph.IM2026

Hubble Astrometry for the Local Group and Beyond in the 2030s

S. Tony Sohn, Paul Bennet, Kevin Andrew McKinnon +23

Hubble's long, stable astrometric baseline creates a rare opportunity for discovery in the Local Group and beyond. Many nearby galaxies, streams, and star clusters already have arc…

astro-ph.GA2026

The DREAMS Project: Disentangling the Impact of Halo-to-Halo Variance and Baryonic Feedback on Milky Way Dark Matter Density Profiles

Alex M. Garcia, Jonah C. Rose, Paul Torrey +23

In this work, we utilize a new suite of Milky Way-mass halos from the DREAMS Project, simulated with Cold Dark Matter (CDM), to quantify the influence of baryon feedback and intrin…

astro-ph.GA2025

The abundance and properties of the lowest luminosity dwarf galaxies around the Milky Way: Insights from Semi-Analytic Models

Niusha Ahvazi, Andrew B. Pace, Christopher T. Garling +11

We investigate the formation and observable properties of faint satellite galaxies (M$_\rm V > -3$) in Milky Way-like halos using the semi-analytic galaxy formation model Galacticu…

quant-ph2025

Improving neural network performance for solving quantum sign structure

Xiaowei Ou, Tianshu Huang, Vidvuds Ozolins

Neural quantum states have emerged as a widely used approach to the numerical study of the ground states of non-stoquastic Hamiltonians. However, existing approaches often rely on…