Cosmology from Cosmic Shear with DES Science Verification Data
The Dark Energy Survey Collaboration, T. Abbott, F. B. Abdalla, S., Allam, A. Amara, J. Annis, R. Armstrong, D. Bacon, M. Banerji, A. H. Bauer,, E. Baxter, M. R. Becker, A. Benoit-L\'evy, R. A. Bernstein, G. M. Bernstein,, E. Bertin, J. Blazek, C. Bonnett, S. L. Bridle

TL;DR
This paper presents initial cosmological constraints from the Dark Energy Survey's weak lensing data, demonstrating the potential of cosmic shear measurements for understanding dark energy and matter distribution.
Contribution
First constraints on cosmology from DES weak lensing data using cosmic shear, with analysis of systematics and comparison to other datasets.
Findings
Measured $\sigma_8 (\Omega_m/0.3)^{0.5} = 0.81 \pm 0.06$ from DES SV data.
Results are stable against data vector and systematics choices.
Constraints are consistent with Planck and mildly discrepant with CFHTLenS.
Abstract
We present the first constraints on cosmology from the Dark Energy Survey (DES), using weak lensing measurements from the preliminary Science Verification (SV) data. We use 139 square degrees of SV data, which is less than 3\% of the full DES survey area. Using cosmic shear 2-point measurements over three redshift bins we find (68\% confidence), after marginalising over 7 systematics parameters and 3 other cosmological parameters. We examine the robustness of our results to the choice of data vector and systematics assumed, and find them to be stable. About \% of our error bar comes from marginalising over shear and photometric redshift calibration uncertainties. The current state-of-the-art cosmic shear measurements from CFHTLenS are mildly discrepant with the cosmological constraints from Planck CMB data; our results are…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
