167 citations · 301 across the 7 of their papers we have counts for
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A Machine Learning Method to Infer Fundamental Stellar Parameters from Photometric Light Curves
A. A. Miller, J. S. Bloom, J. W. Richards +6
A fundamental challenge for wide-field imaging surveys is obtaining follow-up spectroscopic observations: there are > photometrically cataloged sources, yet modern spectrosc…
The Highly-Eccentric Detached Eclipsing Binaries in ACVS and MACC
Isaac Shivvers, Joshua S. Bloom, Joseph W. Richards
Next-generation synoptic photometric surveys will yield unprecedented (for the astronomical community) volumes of data and the processes of discovery and rare-object identification…
Mid-Infrared Period--Luminosity Relations of RR Lyrae Stars Derived from the AllWISE Data Release
Christopher R. Klein, Joseph W. Richards, Nathaniel R. Butler +1
We use photometry from the recent AllWISE Data Release of the Wide-field In-frared Survey Explorer (WISE) of 129 calibration stars, combined with prior distances obtained from the…
A Mid-infrared Study of RR Lyrae Stars with the WISE All-Sky Data Release
Tatyana Gavrilchenko, Christopher R. Klein, Joshua S. Bloom +1
We present a group of 3740 previously identified RR Lyrae variables well-observed with the Wide-field Infrared Survey Explorer (WISE). We explore how the shape of the generic RR Ly…
Discovery of Bright Galactic R Coronae Borealis and DY Persei Variables: Rare Gems Mined from ACVS
A. A. Miller, J. W. Richards, J. S. Bloom +4
We present the results of a machine-learning (ML) based search for new R Coronae Borealis (RCB) stars and DY Persei-like stars (DYPers) in the Galaxy using cataloged light curves f…