RCSLenS: A new estimator for large-scale galaxy-matter correlations
Abstract
We present measurements of the galaxy bias and the galaxy-matter cross-correlation coefficient for the BOSS LOWZ luminous red galaxy sample. Using a new statistical weak lensing analysis of the Red Sequence Cluster Lensing Survey (RCSLenS) we find the bias properties of this sample to be higher than previously reported with and on scales between and . We repeat the measurement for angular scales of , which yields and . This is the first application of a data compression analysis using a complete set of discrete estimators for galaxy-galaxy lensing and galaxy clustering. As cosmological data sets grow, our new method of data compression will become increasingly important in order to interpret joint weak lensing and galaxy clustering measurements and to estimate the data covariance. In future studies this formalism can be used as a tool to study the large-scale structure of the Universe to yield a precise determination of cosmological parameters.
Keywords
Cite
@article{arxiv.1512.03625,
title = {RCSLenS: A new estimator for large-scale galaxy-matter correlations},
author = {A. Buddendiek and P. Schneider and H. Hildebrandt and C. Blake and A. Choi and T. Erben and C. Heymans and L. van Waerbeke and M. Viola and J. Harnois-Deraps and L. Koens and R. Nakajima},
journal= {arXiv preprint arXiv:1512.03625},
year = {2016}
}
Comments
14 pages, 14 figures, accepted for publication in MNRAS