46 citations · 59 across the 11 of their papers we have counts for
20 papers · 1 filter
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…
On combining estimated and analytic covariance matrices
Alan Heavens, Lorne Whiteway, Elena Sellentin
The statistical analysis of cosmological data often assumes a Gaussian sampling distribution and relies on covariance matrices estimated from simulations. In this setting, the like…
Almanac: HMC sampling with bounded velocity
Javier Silva Lafaurie, Lorne Whiteway, Elena Sellentin +4
In Hamiltonian Monte Carlo sampling, the shape of the potential and the choice of the momentum distribution jointly give rise to the Hamiltonian dynamics of the sampler. An efficie…
Biasing from galaxy trough and peak profiles with the DES Y3 redMaGiC galaxies and the weak lensing mass map
Q. Hang, N. Jeffrey, L. Whiteway +83
We measure the correspondence between the distribution of galaxies and matter around troughs and peaks in the projected galaxy density, by comparing \texttt{redMaGiC} galaxies ($0.…
Dark Energy Survey Year 3 results: CDM cosmology from simulation-based inference with persistent homology on the sphere
J. Prat, M. Gatti, C. Doux +94
We present cosmological constraints from Dark Energy Survey Year 3 (DES Y3) weak lensing data using persistent homology, a topological data analysis technique that tracks how featu…
It's not : constraining the non-linear matter power spectrum with the Dark Energy Survey Year-5 supernova sample
Paul Shah, T. M. Davis, M. Vincenzi +58
The weak gravitational lensing magnification of Type Ia supernovae (SNe Ia) is sensitive to the matter power spectrum on scales Mpc, making it unwise to interpret SN…