16 citations · 37 across the 8 of their papers we have counts for
7 papers · 1 filter
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…
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…
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…
Mapping the Milky Way in 5-D with 170 Million Stars
Joshua S. Speagle, Catherine Zucker, Ana Bonaca +18
We present "augustus", a catalog of distance, extinction, and stellar parameter estimates to 170 million stars from and with dr…
SPYGLASS. VI. Feedback-Driven Star Formation in the Circinus Complex
Ronan Kerr, Juan P. Farias, Lisa Prato +3
Young associations provide a record that traces the star formation process, and the youngest populations connect progenitor gas dynamics to the resulting stellar populations. We th…
A Deep, High-Angular Resolution 3D Dust Map of the Southern Galactic Plane
Catherine Zucker, Andrew K. Saydjari, Joshua S. Speagle +8
We present a deep, high-angular resolution 3D dust map of the southern Galactic plane over and built on photometry from the DECaPS2 su…