Clustering of red-sequence galaxies in the fourth data release ofthe
  Kilo-Degree Survey
  We present a sample of luminous red-sequence galaxies to study 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 is built using the broad-band optical+near
infrared photometry of KiDS-VIKING and the overlapping spectroscopic data sets.
The selection process involves 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 mitigate the impact of
survey properties on the observed number density of galaxies by assigning
photometric weights to the galaxies. We measure 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 $\Lambda$CDM
cosmology. We find consistent linear biases for two luminosity-threshold
samples (dense and luminous). We find that our constraints are well
characterized by the passive evolution model.
