6 citations · 18 across the 22 of their papers we have counts for
4 papers · 1 filter
Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data
Thomas Hilder, David W. Hogg, Andrew R. Casey +1
We present Robust Heteroskedastic Matrix Factorization (RHMF), a generalization of Principal Component Analysis (PCA) that is robust to outliers, handles per-feature uncertainties…
Optimal and Unbiased Fluxes from Up-the-Ramp Detectors under Variable Illumination
Bowen Li, Kevin A. McKinnon, Andrew K. Saydjari +6
Near-infrared (NIR) detectors -- which use non-destructive readouts to measure time-series counts-per-pixel -- play a crucial role in modern astrophysics. Standard NIR flux extract…
Sloan Digital Sky Survey-V: Pioneering Panoptic Spectroscopy
Juna A. Kollmeier, Hans-Walter Rix, Conny Aerts +217
The Sloan Digital Sky Survey-V (SDSS-V) is pioneering panoptic spectroscopy: it is the first all-sky, multi-epoch, optical-to-infrared spectroscopic survey. SDSS-V is mapping the s…
: A generative, multi-output, latent-variable model for astronomical data with noisy labels
Danny Horta, Adrian M. Price-Whelan, David W. Hogg +2
The large volume of spectroscopic data available now and from near-future surveys will enable high-dimensional measurements of stellar parameters and properties. Current methods fo…