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The Next Generation Virgo Cluster Survey. XX. RedGOLD Background Galaxy Cluster Detections

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 نشر من قبل Simona Mei
 تاريخ النشر 2017
  مجال البحث فيزياء
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We build a background cluster candidate catalog from the Next Generation Virgo Cluster Survey, using our detection algorithm RedGOLD. The NGVS covers 104$deg^2$ of the Virgo cluster in the $u^*,g,r,i,z$-bandpasses to a depth of $ g sim 25.7$~mag (5$sigma$). Part of the survey was not covered or has shallow observations in the $r$--band. We build two cluster catalogs: one using all bandpasses, for the fields with deep $r$--band observations ($sim 20 deg^2$), and the other using four bandpasses ($u^*,g,i,z$) for the entire NGVS area. Based on our previous CFHT-LS W1 studies, we estimate that both of our catalogs are $sim100%$($sim70%$) complete and $sim80%$ pure, at $zle 0.6$($zlesssim1$), for galaxy clusters with masses of $Mgtrsim10^{14} M_{odot}$. We show that when using four bandpasses, though the photometric redshift accuracy is lower, RedGOLD detects massive galaxy clusters up to $zsim 1$ with completeness and purity similar to the five-band case. This is achieved when taking into account the bias in the richness estimation, which is $sim40%$ lower at $0.5le z<0.6$ and $sim20%$ higher at $0.6<z< 0.8$, with respect to the five-band case. RedGOLD recovers all the X-ray clusters in the area with mass $M_{500} > 1.4 times 10^{14} rm M_{odot}$ and $0.08<z<0.5$. Because of our different cluster richness limits and the NGVS depth, our catalogs reach to lower masses than the published redMaPPer cluster catalog over the area, and we recover $sim 90-100%$ of its detections.

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