101. RCSLenS: A new estimator for large-scale galaxy-matter correlations
- Author
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Axel Buddendiek, Massimo Viola, Hendrik Hildebrandt, Peter Schneider, Ami Choi, Joachim Harnois-Déraps, Lars Koens, L. van Waerbeke, Catherine Heymans, Chris Blake, R. Nakajima, and Thomas Erben
- Subjects
Physics ,Cosmology and Nongalactic Astrophysics (astro-ph.CO) ,010308 nuclear & particles physics ,Gravitational lensing formalism ,Strong gravitational lensing ,Estimator ,FOS: Physical sciences ,Astronomy and Astrophysics ,Astrophysics ,Astrophysics::Cosmology and Extragalactic Astrophysics ,Covariance ,01 natural sciences ,Galaxy ,Space and Planetary Science ,0103 physical sciences ,Cluster analysis ,010303 astronomy & astrophysics ,Weak gravitational lensing ,Astrophysics::Galaxy Astrophysics ,Data compression ,Astrophysics - Cosmology and Nongalactic Astrophysics - Abstract
We present measurements of the galaxy bias $b$ and the galaxy-matter cross-correlation coefficient $r$ 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 $b=2.45^{+0.05}_{-0.05}$ and $r=1.64^{+0.17}_{-0.16}$ on scales between $3'$ and $20'$. We repeat the measurement for angular scales of $20'\leq \vartheta \leq70'$, which yields $b=2.39^{+0.07}_{-0.07}$ and $r=1.24^{+0.26}_{-0.25}$. 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., 14 pages, 14 figures, accepted for publication in MNRAS
- Published
- 2015