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 …

This paper documents the seventeenth data release (DR17) from the Sloan Digital Sky
Surveys; the fifth and final release from the fourth phase (SDSS-IV). DR17 contains the …

The Sloan Digital Sky Surveys (SDSS) have been almost continuously observing the skies
for over 20 yr, since the project began with a first phase in 1998 (SDSS-I; York et al. 2000) …

We present the final Sloan Digital Sky Survey IV (SDSS-IV) quasar catalog from Data
Release 16 of the extended Baryon Oscillation Spectroscopic Survey (eBOSS). This catalog …

Context. In November 2019, eROSITA on board of the Spektrum-Roentgen-Gamma (SRG)
observatory started to map the entire sky in X-rays. After the four-year survey program, it will …

We use approximately 1800 X-ray active galactic nuclei (AGN) in the eROSITA Final
Equatorial-Depth Survey (eFEDS) that span over two orders of magnitude in X-ray …

We present the first results with the ROentgen Survey with an Imaging Telescope Array
(eROSITA) on board the Russian Spektrum-Roentgen-Gamma mission, and we combine the …

It is still a matter of intense debate how supermassive black holes (SMBHs) grow and the
role played by feedback from active galactic nuclei (AGN) in the coevolution of SMBHs and …

Aims. We present measurements of the relation between X-ray luminosity and star formation
activity for a sample of normal galaxies spanning the redshift range between 0 and 0.25. We …

We use 3213 active galactic nuclei (AGNs) from the XMM-XXL northern field to investigate
the relation of AGN type with host galaxy properties. Applying a Bayesian method, we derive …