collaborators

12 papers

astro-ph.GA2026

SPYGLASS. VII-B. Tracing the Fragments of Massive Star Formation Using Low-Mass Associations

Ronan Kerr, Adam L. Kraus, Jonathan C. Tan +6

New observations from the Gaia spacecraft have traced an emerging demographic of low-mass associations disconnected from larger associations or GMCs. The first of these association…

astro-ph.GA2026

Homogeneous Stellar Parameters from Heterogeneous Spectra with Deep Learning

Jeff Shen, Joshua S. Speagle, Shirley Ho

Large-scale spectroscopic surveys have collectively observed millions of stars across the Milky Way, but each derives stellar labels using independent pipelines with distinct model…

astro-ph.GA2026

Disk Wind Feedback from High-mass Protostars. V. Application of Multi-Modal Machine Learning to Characterize Outflow Properties

Duo Xu, Ioana A. Stelea, Joshua S. Speagle +2

Characterizing protostellar outflows is fundamental to understanding star formation feedback, yet traditional methods are often hindered by projection effects and complex morpholog…

astro-ph.GA2026

It's a matter of time: Empirical Constraints on Supernova Yields and Delay Times from Dwarf Spheroidal Galaxies

Mairéad E. Heiger, Alexander P. Ji, Joshua S. Speagle +6

The chemical abundances of a stellar population encode information about nucleosynthesis and its astrophysical sites, but this information is confounded by the specific star format…

astro-ph.GA2026

Assessing Zeeman Measurements of Magnetic Fields in Synthetic HI Observations

Duo Xu, Peter Martin, Stella Offner +3

Zeeman observations provide the only direct probe of line-of-sight (LOS) magnetic fields in the interstellar medium. To evaluate their accuracy and limitations, we generate synthet…

astro-ph.SR2025

SPYGLASS. VII-A. The Demographics and Ages of Small Nearby Young Associations

Ronan Kerr, Facundo Peŕez Paolino, Jonathan C. Tan +5

Recent Gaia-based young stellar association surveys have revealed dozens of low-mass populations that have, until recently, been too small or sparse to detect. These populations re…