1.3k citations · 4.4k across the 67 of their papers we have counts for
8 papers · 1 filter
Dark Energy Survey Year 3 results: simulation-based cosmological inference with wavelet harmonics, scattering transforms, and moments of weak lensing mass maps I: validation on simulations
M. Gatti, N. Jeffrey, L. Whiteway +98
Beyond-two-point statistics contain additional information on cosmological as well as astrophysical and observational (systematics) parameters. In this methodology paper we provide…
Cosmology from Cross-Correlation of ACT-DR4 CMB Lensing and DES-Y3 Cosmic Shear
S. Shaikh, I. Harrison, A. van Engelen +105
Cross-correlation between weak lensing of the Cosmic Microwave Background (CMB) and weak lensing of galaxies offers a way to place robust constraints on cosmological and astrophysi…
Beyond the 3rd moment: A practical study of using lensing convergence CDFs for cosmology with DES Y3
D. Anbajagane, C. Chang, A. Banerjee +95
Widefield surveys of the sky probe many clustered scalar fields -- such as galaxy counts, lensing potential, gas pressure, etc. -- that are sensitive to different cosmological and…
Detection of the significant impact of source clustering on higher-order statistics with DES Year 3 weak gravitational lensing data
M. Gatti, N. Jeffrey, L. Whiteway +98
We demonstrate and measure the impact of source galaxy clustering on higher-order summary statistics of weak gravitational lensing data. By comparing simulated data with galaxies t…
Cosmological constraints from the tomography of DES-Y3 galaxies with CMB lensing from ACT DR4
G. A. Marques, M. S. Madhavacheril, O. Darwish +92
We present a measurement of the cross-correlation between the MagLim galaxies selected from the Dark Energy Survey (DES) first three years of observations (Y3) and cosmic microwave…
DES Y3 + KiDS-1000: Consistent cosmology combining cosmic shear surveys
Dark Energy Survey, Kilo-Degree Survey Collaboration, : +160
We present a joint cosmic shear analysis of the Dark Energy Survey (DES Y3) and the Kilo-Degree Survey (KiDS-1000) in a collaborative effort between the two survey teams. We find c…
Evidence Networks: simple losses for fast, amortized, neural Bayesian model comparison
Niall Jeffrey, Benjamin D. Wandelt
Evidence Networks can enable Bayesian model comparison when state-of-the-art methods (e.g. nested sampling) fail and even when likelihoods or priors are intractable or unknown. Bay…
GLASS: Generator for Large Scale Structure
Nicolas Tessore, Arthur Loureiro, Benjamin Joachimi +2
We present GLASS, the Generator for Large Scale Structure, a new code for the simulation of galaxy surveys for cosmology, which iteratively builds a light cone with matter, galaxie…