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 …

The eighteenth data release (DR18) of the Sloan Digital Sky Survey (SDSS) is the first one
for SDSS-V, the fifth generation of the survey. SDSS-V comprises three primary scientific …

Abstract In 2021 May, the Dark Energy Spectroscopic Instrument (DESI) began a 5 yr survey
of approximately 50 million total extragalactic and Galactic targets. The primary DESI dark …

While tidal disruption events (TDEs) have long been heralded as laboratories for the study of
quiescent black holes, the small number of known TDEs and uncertainties in their emission …

The origins of the high-energy cosmic neutrino flux remain largely unknown. Recently, one
high-energy neutrino was associated with a tidal disruption event (TDE). Here we present …

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 have generated synthetic images of∼ 27 000 galaxies from the IllustrisTNG and the
original Illustris hydrodynamic cosmological simulations, designed to match Pan-STARRS …

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