Weak gravitational lensing, the deflection of light by mass, is one of the best tools to
constrain the growth of cosmic structure with time and reveal the nature of dark energy. I …

Abstract Machine learning (automated processes that learn by example in order to classify,
predict, discover, or generate new data) and artificial intelligence (methods by which a …

ABSTRACT The Baryon Oscillation Spectroscopic Survey (BOSS) is designed to measure
the scale of baryon acoustic oscillations (BAO) in the clustering of matter over a larger …

We describe the automated spectral classification, redshift determination, and parameter
measurement pipeline in use for the Baryon Oscillation Spectroscopic Survey (BOSS) of the …

This paper describes the Seventh Data Release of the Sloan Digital Sky Survey (SDSS),
marking the completion of the original goals of the SDSS and the end of the phase known as …

Abstract The spectroscopic Sloan Digital Sky Survey (SDSS) Data Release 7 (DR7) galaxy
sample represents the final set of galaxies observed using the original SDSS target …

Spitzer/IRAC selection is a powerful tool for identifying luminous active galactic nuclei
(AGNs). For deep IRAC data, however, the AGN selection wedges currently in use are …

Using a compilation of 25 studies from the literature, we investigate the evolution of the star-
forming galaxy (SFG) main sequence (MS) in stellar mass and star formation rate (SFR) out …

The stellar masses, mean ages, metallicities, and star formation histories of galaxies are
now commonly estimated via stellar population synthesis (SPS) techniques. SPS relies on …

The application of Bayesian methods in cosmology and astrophysics has flourished over the
past decade, spurred by data sets of increasing size and complexity. In many respects …