activity
20132026
most citedDark Energy Survey Year 1 Results: Cosmological Constraints from Galaxy Clustering and Weak Lensing

1.2k citations · 3.8k across the 41 of their papers we have counts for

collaborators

44 papers

astro-ph.CO2026

Dark Energy Survey Year 6 Results: fast and interpretable posterior predictive checks for correlated cosmic probes

C. Doux, J. Muir, A. Ferté +59

We present a fast and numerically stable framework for conducting posterior predictive distribution (PPD) tests of internal consistency in correlated cosmological probes. Our metho…

astro-ph.IM2026★ 14 cited

The Vera C. Rubin Observatory Data Preview 1

Vera C Rubin Observatory Team, Tatiana Acero Cuellar, Emily Acosta +325

We present Rubin Data Preview 1 DP1, the first data from the NSF DOE Vera C Rubin Observatory, comprising raw and calibrated single epoch images, coadds, difference images, detecti…

astro-ph.CO2026

Dark Energy Survey Year 6 Results: Cosmological Constraints from Galaxy Clustering and Weak Lensing

DES Collaboration, T. M. C. Abbott, M. Adamow +169

We present cosmology results combining galaxy clustering and weak gravitational lensing measured in the full six years (Y6) of observations by the Dark Energy Survey (DES) covering…

astro-ph.CO2026

Dark Energy Survey Year 6 Results: Weak Lensing and Galaxy Clustering Cosmological Analysis Framework

D. Sanchez-Cid, A. Ferté, J. Blazek +115

We present the methodology for the weak lensing and galaxy clustering analyses of the Dark Energy Survey (DES) Year 6 data set. In this work, we design and validate the analysis pi…

astro-ph.CO2026

Dark Energy Survey Year 6 Results: Magnification modeling and its impact on galaxy clustering and galaxy-galaxy lensing cosmology

E. Legnani, J. Elvin-Poole, D. Anbajagane +72

Gravitational lensing magnification alters the observed spatial distribution of galaxies and must be accounted for to prevent biases in cosmological probes of the large-scale struc…

astro-ph.CO2025★ 2 cited

Dark Energy Survey Year 3 results: Simulation-based CDM inference from weak lensing and galaxy clustering maps with deep learning: Analysis design

A. Thomsen, J. Bucko, T. Kacprzak +99

Data-driven approaches using deep learning are emerging as powerful techniques to extract non-Gaussian information from cosmological large-scale structure. This work presents the f…