CFHTLenS tomographic weak lensing: Quantifying accurate redshift distributions
Jonathan Benjamin, Ludovic Van Waerbeke, Catherine Heymans, Martin, Kilbinger, Thomas Erben, Hendrik Hildebrandt, Henk Hoekstra, Thomas D., Kitching, Yannick Mellier, Lance Miller, Barnaby Rowe, Tim Schrabback, Fergus, Simpson, Jean Coupon, Liping Fu, Joachim Harnois-D\'eraps

TL;DR
This paper uses CFHTLenS data to accurately determine galaxy redshift distributions and apply tomographic weak lensing to constrain cosmological parameters, improving precision over previous analyses.
Contribution
It demonstrates that the summed redshift probability distribution function accurately represents galaxy redshift distributions and provides refined cosmological constraints using weak lensing tomography.
Findings
Redshift probability distribution function effectively accounts for errors.
CFHTLenS data shows no problematic redshift scaling of shear signal.
Combined data yields precise estimates of Omega_m and sigma_8.
Abstract
The Canada-France-Hawaii Telescope Lensing Survey (CFHTLenS) comprises deep multi-colour (u*g'r'i'z') photometry spanning 154 square degrees, with accurate photometric redshifts and shape measurements. We demonstrate that the redshift probability distribution function summed over galaxies provides an accurate representation of the galaxy redshift distribution accounting for random and catastrophic errors for galaxies with best fitting photometric redshifts z_p < 1.3. We present cosmological constraints using tomographic weak gravitational lensing by large-scale structure. We use two broad redshift bins 0.5 < z_p <= 0.85 and 0.85 < z_p <= 1.3 free of intrinsic alignment contamination, and measure the shear correlation function on angular scales in the range ~1-40 arcmin. We show that the problematic redshift scaling of the shear signal, found in previous CFHTLS data analyses, does not…
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