Dark Energy Survey Year 1 Results: Cosmological Constraints from Galaxy Clustering and Weak Lensing
DES Collaboration: T. M. C. Abbott, F. B. Abdalla, A. Alarcon, J., Aleksi\'c, S. Allam, S. Allen, A. Amara, J. Annis, J. Asorey, S. Avila, D., Bacon, E. Balbinot, M. Banerji, N. Banik, W. Barkhouse, M. Baumer, E. Baxter,, K. Bechtol, M. R. Becker, A. Benoit-L\'evy, B. A. Benson

TL;DR
This paper presents cosmological constraints from galaxy clustering and weak lensing using DES Year 1 data, achieving precision comparable to Planck and testing cosmological models with multiple two-point functions.
Contribution
First combined analysis of galaxy clustering and weak lensing from DES Y1 with rigorous systematic checks and blinded analysis to derive cosmological parameters.
Findings
Measured $S_8$ and $\
Results are consistent across different two-point functions.
Constraints are comparable to Planck measurements.
Abstract
We present cosmological results from a combined analysis of galaxy clustering and weak gravitational lensing, using 1321 deg of imaging data from the first year of the Dark Energy Survey (DES Y1). We combine three two-point functions: (i) the cosmic shear correlation function of 26 million source galaxies in four redshift bins, (ii) the galaxy angular autocorrelation function of 650,000 luminous red galaxies in five redshift bins, and (iii) the galaxy-shear cross-correlation of luminous red galaxy positions and source galaxy shears. To demonstrate the robustness of these results, we use independent pairs of galaxy shape, photometric redshift estimation and validation, and likelihood analysis pipelines. To prevent confirmation bias, the bulk of the analysis was carried out while blind to the true results; we describe an extensive suite of systematics checks performed and…
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.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
