Clustering of red sequence galaxies in the fourth data release of the Kilo-Degree Survey
Mohammadjavad Vakili, Henk Hoekstra, Maciej Bilicki, Maria Cristina Fortuna, Konrad Kuijken, Angus H. Wright, Marika Asgari, Michael D. Brown, Elisabeth Dombrovskij, T. Erben, Benjamin Giblin, Catherine Heymans, H. Hildebrandt, Harry Johnston, Shahab Joudaki, Arun Kannawadi
Abstract
We present a sample of luminous red sequence galaxies as the basis for a study of the large-scale structure in the fourth data release of the Kilo-Degree Survey. The selected galaxies are defined by a red sequence template, in the form of a data-driven model of the colour-magnitude relation conditioned on redshift. In this work, the red sequence template was built using the broad-band optical+near infrared photometry of KiDS-VIKING and the overlapping spectroscopic data sets. The selection process involved estimating the red sequence redshifts, assessing the purity of the sample and estimating the underlying redshift distributions of redshift bins. After performing the selection, we mitigated the impact of survey properties on the observed number density of galaxies by assigning photometric weights to the galaxies. We measured the angular two-point correlation function of the red galaxies in four redshift bins and constrain the large-scale bias of our red sequence sample assuming a fixed ΛCDM cosmology. We find consistent linear biases for two luminosity-threshold samples (‘dense’ and ‘luminous’). We find that our constraints are well characterised by the passive evolution model.