AMICO galaxy clusters in SDSS (in prep.)

We present the first catalogue of galaxy cluster candidates derived from the sixteenth data re-
lease of the Sloan Digital Sky Survey (SDSS-DR16). The catalogue has been produced using
the Adaptive Matched Identifier of Clustered Objects (AMICO) algorithm from 13489.6 deg2
of the SDSS-IV footprint using the luminosity, spatial distribution, and photometric redshift of
galaxies. We do not perform any selection based on the colours of galaxies, which minimizes
the dependence of the selection function on the detectability or absence of the red sequence
of clusters. The catalogue contains 174049 cluster detections down to a signal-to-noise ratio
of 3.0 of which 96351 candidates are detected with a signal-to-noise threshold of 3.5 in the
redshift range 0.05 ≤ z ≤ 1.00. In addition, a catalogue of galaxies with their probabilistic
association with the cluster candidates has also been produced. The catalogue completeness,
purity, and uncertainties in position, redshift, and richness have been quantified through mock
galaxy catalogues simulated using the data with the SinFoniA algorithm. This makes the se-
lection function independent of any assumptions employed within numerical simulations or
semi-analytical models.