Swinburne
Browse

RCSLenS: A new estimator for large-scale galaxy-matter correlations

Download (3.9 MB)
journal contribution
posted on 2024-08-06, 10:29 authored by A. Buddendiek, P. Schneider, H. Hildebrandt, Chris BlakeChris Blake, A. Choi, T. Erben, C. Heymans, L. van Waerbeke, M. Viola, J. Harnois-Deraps, L. Koens, R. Nakajima
We present measurements of the galaxy bias b and the galaxy-matter cross-correlation coefficient r for the Baryon Oscillation Spectroscopic Survey LOWZ luminous red galaxy sample. Using a new statistical weak lensing analysis of the Red Cluster Sequence 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_{-0.16}^{+0.17} on scales between 3 and 20 arcmin. We repeat the measurement for angular scales of 20 arcmin ≤ ϑ ≤ 70 arcmin, which yields b=2.39_{-0.07}^{+0.07} and r=1.24_{-0.25}^{+0.26}. 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.

History

Available versions

PDF (Published version)

ISSN

1365-2966

Journal title

Monthly Notices of the Royal Astronomical Society

Volume

456

Issue

4

Pagination

12 pp

Publisher

Oxford University Press

Copyright statement

This article has been accepted for publication in the Monthly Notices of the Royal Astronomical Society ©: 2016 the authors. Published by Oxford University Press on behalf of the Royal Astronomical Society. All rights reserved.

Language

eng

Usage metrics

    Publications

    Categories

    No categories selected

    Keywords

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC