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RedGOLD searches for red-sequence galaxy overdensities while minimizingcontamination from dusty star-forming galaxies. It imposes an NFW profile andcalculates cluster detection significance and richness. We optimize theselatter two parameters using both simulations and X-ray detected clustercatalogs, and obtain a catalog $\sim 80\%$ pure up to $z \sim 1$, and $\sim100\%$ ($\sim 70\%$) complete at $z\le 0.6$ ( $z\lesssim1$) for galaxy clusterswith $M \gtrsim 10^{14}\ {\rm M_{\odot}}$ at the CFHT-LS Wide depth. In theCFHT-LS W1, we detect 11 cluster candidates per $\rm deg^2$ out to $z\sim1.1$.When we optimize both completeness and purity, RedGOLD obtains a clustercatalog with higher completeness and purity than other public catalogs,obtained using CFHT-LS W1 observations, for $M \gtrsim 10^{14}\ {\rmM_{\odot}}$. We use X-ray detected cluster samples to extend the study of theX-ray temperature-optical richness relation to a lower mass threshold, and finda mass scatter at fixed richness of $\sigma_{lnM|\lambda}=0.39\pm0.07$ and$\sigma_{lnM|\lambda}=0.30\pm0.13$ for the Gozaliasl et al. (2014) and Mehrtenset al. (2012) samples. When considering similar mass ranges as previous work,we recover a smaller scatter in mass at fixed richness. We recover $93\%$ ofthe redMaPPer detections, and find that its richness estimates is on average$\sim 40-50\%$ larger than ours at $z>0.3$. RedGOLD recovers X-ray clusterspectroscopic redshifts at better than $5\%$ up to $z\sim1$, and the centerswithin a few tens of arcseconds.

The RedGOLD Cluster Detection Algorithm and its Cluster Candidate Catalogue for the CFHT-LS W1