Abstract LAMOST (Large sky Area Multi-Object fiber Spectroscopic Telescope) is a Chinese
national scientific research facility operated by National Astronomical Observatories …

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 …

It is now 16 years since the first data release from the Sloan Digital Sky Survey (SDSS; York
et al. 2000). This Early Data Release, or EDR, occurred in 2001 June (Stoughton et al …

We present an overview of a new integral field spectroscopic survey called MaNGA
(Map** Nearby Galaxies at Apache Point Observatory), one of three core programs in the …

The second edition of a comprehensive introduction to machine learning approaches used
in predictive data analytics, covering both theory and practice. Machine learning is often …

We present a new model for computing the spectral evolution of stellar populations at ages
between 1× 105 and 2× 1010 yr at a resolution of 3 Å across the whole wavelength range …

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 …

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 …

We present a one per cent measurement of the cosmic distance scale from the detections of
the baryon acoustic oscillations (BAO) in the clustering of galaxies from the Baryon …

We present the large-scale correlation function measured from a spectroscopic sample of
46,748 luminous red galaxies from the Sloan Digital Sky Survey. The survey region covers …