cluster catalogue [redMaPPer[^4]; @Rykoff2014]. This catalogue covers roughly 10 000 $\mathrm{deg^{2}}$ of the sky and consists of more than 25000 galaxy clusters which span a redshift range of $0.08 \leq z \leq 0.55$. The clusters in this catalogue have been optically identified using photometry from the Eighth Data Release [DR8; @Aihara2011] of the SDSS. Where possible, we supplement the catalogue with additional spectroscopic redshifts from the SDSS DR12 [@Alam2015]. A detailed description of the redMaPPer cluster catalogue (and construction) can be found in [@Rykoff2014]. Here, we summarize the most important features.

Briefly, the redMaPPer cluster detection algorithm photometrically identifies clusters by searching for overdensities of red-sequence galaxies. This relies on a set of galaxies with spectroscopic redshifts that are used to construct a redshift dependent red-sequence model. The spectroscopic redshifts needed for the calibration of the red-sequence model are retrieved from the SDSS Main Galaxy Sample [MGS; @Strauss2002], Luminous Red Galaxy [LRG; @Eisenstein2001], and Baryon Oscillation Spectroscopic Survey [BOSS; @Ahn2012]. This model is then used to photometrically group red galaxies (with luminosities $\geq 0.2 \, L^{\star}$) at similar redshifts into clusters, assuming a radial filter that corresponds to typical cluster sizes. The algorithm iteratively determines a photometric redshift for each 