39 citations · 49 across the 9 of their papers we have counts for
7 papers · 1 filter
Mass-dependent multiplicity fraction in low mass stars revealed by Gaia astrometry
Ben Pennell, Hans-Walter Rix, Kareem El-Badry +3
Stellar multiplicity at different orbital periods is probed by different techniques: radial velocities at the shortest periods, direct imaging at the longest, and astrometry in bet…
A Probabilistic Framework for Population Studies of the Solar Neighborhood: Application to SDSS-V and Gaia
Ilija Medan, Keivan G. Stassun, Zachary Way +8
Studies of the Solar Neighborhood require spectroscopic follow-up of stars identified in astrometric surveys to fully characterize their physical properties. The SDSS-V Solar Neigh…
Stellar Parameters of BOSS M dwarfs in SDSS-V DR19
Dan Qiu, Jennifer A. Johnson, Chao Liu +15
We utilized the Stellar LAbel Machine (SLAM), a data-driven model based on Support Vector Regression, to derive stellar parameters ([Fe/H], , and ) for SDSS-V…
The Silent Majority: The Interacting Post-Common-Envelope Binaries Underlying Cataclysmic Variables
Yarin Meir Shani, Na'ama Hallakoun, Sagi Ben-Ami +4
We analyze the orbital period distribution of post-common-envelope white-dwarf-main-sequence (WDMS) binaries by cross-matching the new spectroscopic Gaia DR3 WDMS catalog with TESS…
Dormant black hole candidates from Gaia DR3 summary diagnostics
Johanna Müller-Horn, Hans-Walter Rix, Kareem El-Badry +4
We present a rigorous identification of candidates for dormant black holes (BHs) and neutron stars (NSs) in binaries using summary statistics from Gaia DR3, rather than full orbita…
Millions of Main-Sequence Binary Stars from Gaia BP/RP Spectra
Jiadong Li, Hans-Walter Rix, Yuan-Sen Ting +6
We present the main-sequence binary (MSMS) Catalog derived from Gaia Data Release 3 BP/RP (XP) spectra. Leveraging the vast sample of low-resolution Gaia XP spectra, we develop a f…
AspGap: Augmented Stellar Parameters and Abundances for 23 million RGB stars from Gaia XP low-resolution spectra
Jiadong Li, Kaze W. K. Wong, David W. Hogg +2
We present AspGap, a new approach to infer stellar labels from low-resolution Gaia XP spectra, including precise [/M] estimates for the first time. AspGap is a neural-network ba…