38 citations · 56 across the 11 of their papers we have counts for
58 papers · 1 filter
Dark Energy Survey Year 6 Results: Redshift Calibration of the Weak Lensing Source Galaxies
B. Yin, A. Amon, A. Campos +95
Determining the distribution of redshifts for galaxies in wide-field photometric surveys is essential for robust cosmological studies of weak gravitational lensing. We present the…
Dark Energy Survey Year 3 results: optimized CDM simulation-based inference with weak lensing map-level hybrid statistics
J. Williamson, T. L. Makinen, N. Porqueres +85
We present cosmological constraints from the Dark Energy Survey Year 3 (DES Y3) weak lensing data using hierarchical hybrid statistics within a Bayesian simulation-based inference…
Constraints on Dynamical Dark Energy from Multiple Probes in the Full Dark Energy Survey
DES Collaboration, T. M. C. Abbott, M. Adamow +166
We present results on dark energy evolution, assuming a time-dependent equation of state , from growth and geometric probes using the full six-year Dark Energy S…
The Dark Energy Survey Supernova Program: A Reanalysis Of Cosmology Results And Evidence For Evolving Dark Energy With An Updated Type Ia Supernova Calibration
B. Popovic, P. Shah, W. D. Kenworthy +80
We present improved cosmological constraints from a re-analysis of the Dark Energy Survey (DES) 5-year sample of Type Ia supernovae (DES-SN5YR). This re-analysis includes an improv…
Dark Energy Survey Year 6 Results: Clustering-redshifts and importance sampling of Self-Organised-Maps realizations for pt samples
W. d'Assignies, G. M. Bernstein, B. Yin +92
This work is part of a series establishing the redshift framework for the pt analysis of the Dark Energy Survey Year 6 (DES Y6). For DES Y6, photometric redshift distribu…
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…