207 citations · 566 across the 7 of their papers we have counts for
8 papers · 1 filter
An Improved Cluster Richness Estimator
Eduardo Rozo, Eli S. Rykoff, Benjamin P. Koester +11
Minimizing the scatter between cluster mass and accessible observables is an important goal for cluster cosmology. In this work, we introduce a new matched filter richness estimato…
Estimating the Redshift Distribution of Faint Galaxy Samples
Marcos Lima, Carlos E. Cunha, Hiroaki Oyaizu +3
We present an empirical method for estimating the underlying redshift distribution N(z) of galaxy photometric samples from photometric observables. The method does not rely on phot…
Cross-correlation Weak Lensing of SDSS galaxy Clusters II: Cluster Density Profiles and the Mass--Richness Relation
David E. Johnston, Erin S. Sheldon, Risa H. Wechsler +7
We interpret and model the statistical weak lensing measurements around 130,000 groups and clusters of galaxies in the Sloan Digital Sky Survey presented by Sheldon et al. 2007 (Pa…
The Sloan Digital Sky Survey Quasar Lens Search. II. Statistical Lens Sample from the Third Data Release
Naohisa Inada, Masamune Oguri, Robert H. Becker +31
We report the first results of our systematic search for strongly lensed quasars using the spectroscopically confirmed quasars in the Sloan Digital Sky Survey (SDSS). Among 46,420…
The Sloan Digital Sky Survey Quasar Lens Search. III. Constraints on Dark Energy from the Third Data Release Quasar Lens Catalog
Masamune Oguri, Naohisa Inada, Michael A. Strauss +31
We present cosmological results from the statistics of lensed quasars in the Sloan Digital Sky Survey (SDSS) Quasar Lens Search. By taking proper account of the selection function,…
A Galaxy Photometric Redshift Catalog for the Sloan Digital Sky Survey Data Release 6
Hiroaki Oyaizu, Marcos Lima, Carlos E. Cunha +3
We present and describe a catalog of galaxy photometric redshifts (photo-z's) for the Sloan Digital Sky Survey (SDSS) Data Release 6 (DR6). We use the Artificial Neural Network (AN…