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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
earth and planetary sciences
The WiggleZ Dark Energy Survey: Direct constraints on blue galaxy intrinsic alignments at intermediate redshifts
Monthly Notices of the Royal Astronomical Society, Volume 410, No. 2, Year 2011
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Description
Correlations between the intrinsic shapes of galaxy pairs, and between the intrinsic shapes of galaxies and the large-scale density field, may be induced by tidal fields. These correlations, which have been detected at low redshifts (z < 0.35) for bright red galaxies in the Sloan Digital Sky Survey (SDSS), and for which upper limits exist for blue galaxies at z~ 0.1, provide a window into galaxy formation and evolution, and are also an important contaminant for current and future weak lensing surveys. Measurements of these alignments at intermediate redshifts (z~ 0.6) that are more relevant for cosmic shear observations are very important for understanding the origin and redshift evolution of these alignments, and for minimizing their impact on weak lensing measurements. We present the first such intermediate-redshift measurement for blue galaxies, using galaxy shape measurements from SDSS and spectroscopic redshifts from the WiggleZ Dark Energy Survey. Our null detection allows us to place upper limits on the contamination of weak lensing measurements by blue galaxy intrinsic alignments that, for the first time, do not require significant model-dependent extrapolation from the z~ 0.1 SDSS observations. Also, combining the SDSS and WiggleZ constraints gives us a long redshift baseline with which to constrain intrinsic alignment models and contamination of the cosmic shear power spectrum. Assuming that the alignments can be explained by linear alignment with the smoothed local density field, we find that a measurement of σ8 in a blue-galaxy dominated, CFHTLS-like survey would be contaminated by at most +0.02-0.03 (95 per cent confidence level, SDSS and WiggleZ) or ± 0.03 (WiggleZ alone) due to intrinsic alignments. We also allow additional power-law redshift evolution of the intrinsic alignments, due to (for example) effects like interactions and mergers that are not included in the linear alignment model, and find that our constraints on cosmic shear contamination are not significantly weakened if the power-law index is less than ~2. The WiggleZ sample (unlike SDSS) has a long enough redshift baseline that the data can rule out the possibility of very strong additional evolution. © 2010 The Authors. Journal compilation © 2010 RAS.
Authors & Co-Authors
Mandelbaum, Rachel
United States, Princeton
Princeton University
Blake, Chris A.
Australia, Hawthorn
Swinburne University of Technology
Bridle, Sarah L.
United Kingdom, London
University College London
Abdalla, Fillipe Batoni
United Kingdom, London
University College London
Brough, Sarah
Australia, Eastwood
Anglo Australian Observatory
Colless, Matthew
Australia, Eastwood
Anglo Australian Observatory
Couch, Warrick J.
Australia, Hawthorn
Swinburne University of Technology
Croom, Scott M.
Australia, Sydney
The University of Sydney
Davis, Tamara M.
Australia, Brisbane
The University of Queensland
Denmark, Copenhagen
Københavns Universitet
Drinkwater, Michael J.
Australia, Brisbane
The University of Queensland
Forster, Karl G.
United States, Pasadena
California Institute of Technology
Glazebrook, Karl G.
Australia, Hawthorn
Swinburne University of Technology
Jelliffe, Ben
Australia, Sydney
The University of Sydney
Jurek, Russell J.
Australia, Brisbane
The University of Queensland
Li, I. Hui
Australia, Hawthorn
Swinburne University of Technology
Madore, Barry F.
United States, Washington, D.c.
Carnegie Institution of Washington
Pimbblet, Kevin A.
Australia, Clayton
Monash University
Poole, Gregory B.
Australia, Hawthorn
Swinburne University of Technology
Pracy, Michael B.
Australia, Hawthorn
Swinburne University of Technology
Australia, Canberra
The Australian National University
Sharp, Rob G.
Australia, Eastwood
Anglo Australian Observatory
Wisnioski, Emily
Australia, Hawthorn
Swinburne University of Technology
Woods, David
Canada, Vancouver
The University of British Columbia
Wyder, Ted K.
United States, Pasadena
California Institute of Technology
Statistics
Citations: 131
Authors: 23
Affiliations: 12
Identifiers
Doi:
10.1111/j.1365-2966.2010.17485.x
ISSN:
00358711
Study Design
Cross Sectional Study
Study Approach
Quantitative