HeCS-red: Dense Hectospec Surveys of redMaPPer-Selected Clusters
Kenneth J. Rines, Margaret J. Geller, Antonaldo Diaferio, Ho Seong, Hwang, and Jubee Sohn

TL;DR
This study uses dense redshift surveys to analyze galaxy clusters from the redMaPPer catalog, confirming their overdensity nature, examining the relation between velocity dispersion and richness, and evaluating membership probabilities.
Contribution
Introduces the HeCS-red survey with over 10,000 redshifts for redMaPPer clusters, providing new insights into cluster properties and the accuracy of photometric estimates.
Findings
Velocity dispersion shows 24% intrinsic scatter at fixed richness.
Range of velocity dispersion at fixed richness increases in heterogeneous samples.
Spectroscopic membership fractions differ from redMaPPer probabilities.
Abstract
We use dense redshift surveys to explore the properties of galaxy clusters selected from the redMaPPer catalog of overdensities of red galaxies. Our new survey, HeCS-red (Hectospec Cluster Survey of red-sequence selected clusters), includes 10,589 new or remeasured redshifts from MMT/Hectospec observations of redMaPPer clusters at redshifts =0.08-0.25 with large estimated richnesses (richness estimate ). Our spectra confirm that each of these candidate clusters corresponds to an overdensity in redshift space. The redMaPPer photometric redshifts have a slight bias towards higher redshifts. We measure the scaling relation between velocity dispersion and redMaPPer richness estimates . The observed relation shows intrinsic scatter of 24\% in velocity dispersion at fixed richness, and a range of a factor of two in measured at fixed richness. We…
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