49 papers
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…
Dimensional reduction for sampled priors and application to photometric redshift distributions
Gary Bernstein, William Assignies Doumerg, Michael A. Troxel +35
A typical Bayesian inference on the values of some parameters of interest from some data involves running a Markov Chain (MC) to sample from the posterior $p({\bf q},{\…
Robust Measurement of Stellar Streams Around the Milky Way: Correcting Spatially Variable Observational Selection Effects in Optical Imaging Surveys
K. K. Boone, P. S. Ferguson, M. Tabbutt +47
Observations of density variations in stellar streams are a promising probe of low-mass dark matter substructure in the Milky Way. However, survey systematics such as variations in…
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…