5k citations · 36.6k across the 347 of their papers we have counts for
6 papers · 2 filters
Brightest X-ray clusters of galaxies in the CFHTLS wide fields: Catalog and optical mass estimator
M. Mirkazemi, A. Finoguenov, M. J. Pereira +13
The CFHTLS presents a unique data set for weak lensing studies, having high quality imaging and deep multi-band photometry. We have initiated an XMM-CFHTLS project to provide X-ray…
redMaPPer IV: Photometric Membership Identification of Cluster Galaxies with 1% Precision
Eduardo Rozo, Eli S. Rykoff, Matthew Becker +2
In order to study the galaxy population of galaxy clusters with photometric data one must be able to accurately discriminate between cluster members and non-members. The redMaPPer…
Orientation Bias of Optically Selected Galaxy Clusters and Its Impact on Stacked Weak Lensing Analyses
Jörg P. Dietrich, Yuanyuan Zhang, Jeeseon Song +15
Weak-lensing measurements of the averaged shear profiles of galaxy clusters binned by some proxy for cluster mass are commonly converted to cluster mass estimates under the assumpt…
Mass and galaxy distributions of four massive galaxy clusters from Dark Energy Survey Science Verification data
P. Melchior, E. Suchyta, E. Huff +89
We measure the weak-lensing masses and galaxy distributions of four massive galaxy clusters observed during the Science Verification phase of the Dark Energy Survey. This pathfinde…
The X-CLASS - redMaPPer galaxy cluster comparison: I. Identification procedures
Tatyana Sadibekova, Marguerite Pierre, Nicolas Clerc +5
We performed a detailed and, for a large part interactive, analysis of the matching output between the X-CLASS and redMaPPer cluster catalogues. The overlap between the two catalog…
redMaPPer III: A Detailed Comparison of the Planck 2013 and SDSS DR8 RedMaPPer Cluster Catalogs
Eduardo Rozo, Eli S. Rykoff, James G. Bartlett +1
We compare the Planck Sunyaev-Zeldovich (SZ) cluster sample (PSZ1) to the Sloan Digital Sky Survey (SDSS) redMaPPer catalog, finding that all Planck clusters within the redMaPPer m…