RCSLenS: a new estimator for large-scale galaxy-matter correlations
RCSLenS: a new estimator for large-scale galaxy-matter correlations
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DOI:
10.1093/mnras/stv2925
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发表时间:
2015-12
影响因子:
4.8
通讯作者:
Axel Buddendiek;P. Schneider;H. Hildebrandt;C. Blake;A. Choi;T. Erben;C. Heymans;L. Waerbeke;M. Viola;J. Harnois-Déraps;L. Koens;R. Nakajima
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作者:
Axel Buddendiek;P. Schneider;H. Hildebrandt;C. Blake;A. Choi;T. Erben;C. Heymans;L. Waerbeke;M. Viola;J. Harnois-Déraps;L. Koens;R. Nakajima
We present measurements of the galaxy bias b and the galaxy-matter cross-correlation coecient 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 nd 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 0 and 20 0 . We repeat the measurement for angular scales of 20 0 6 # 6 70 0 , which yields b = 2:39 +0:07 0:07 and r = 1:24 +0:26 0:25. This is the rst application of a data compression analysis using a complete sets 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.