315 citations · 3k across the 32 of their papers we have counts for
31 papers
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…
CfAIR2: Near Infrared Light Curves of 94 Type Ia Supernovae
Andrew S. Friedman, W. M. Wood-Vasey, G. H. Marion +18
CfAIR2 is a large homogeneously reduced set of near-infrared (NIR) light curves for Type Ia supernovae (SN Ia) obtained with the 1.3m Peters Automated InfraRed Imaging TELescope (P…
Type IIb Supernova SN 2011dh: Spectra and Photometry from the Ultraviolet to the Near-Infrared
G. H. "Howie'' Marion, Jozsef Vinko, Robert P. Kirshner +26
We report spectroscopic and photometric observations of the Type IIb SN 2011dh obtained between 4 and 34 days after the estimated date of explosion (May 31.5 UT). The data cover a…
The Frequency of Debris Disks at White Dwarfs
Sara D. Barber, Adam J. Patterson, Mukremin Kilic +4
We present near- and mid-infrared photometry and spectroscopy from PAIRITEL, IRTF, and Spitzer of a metallicity-unbiased sample of 117 cool, hydrogen-atmosphere white dwarfs from t…
Construction of a Calibrated Probabilistic Classification Catalog: Application to 50k Variable Sources in the All-Sky Automated Survey
Joseph W. Richards, Dan L. Starr, Adam A. Miller +4
With growing data volumes from synoptic surveys, astronomers must become more abstracted from the discovery and introspection processes. Given the scarcity of follow-up resources,…
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…