3.5k citations · 4.3k across the 19 of their papers we have counts for
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CMB-S4: Forecasting Constraints on Primordial Gravitational Waves
S4 Collaboration, Kevork Abazajian, Graeme E. Addison +233
CMB-S4---the next-generation ground-based cosmic microwave background (CMB) experiment---is set to significantly advance the sensitivity of CMB measurements and enhance our underst…
CosmoFlow: Using Deep Learning to Learn the Universe at Scale
Amrita Mathuriya, Deborah Bard, Peter Mendygral +14
Deep learning is a promising tool to determine the physical model that describes our universe. To handle the considerable computational cost of this problem, we present CosmoFlow:…
Galactos: Computing the Anisotropic 3-Point Correlation Function for 2 Billion Galaxies
Brian Friesen, Md. Mostofa Ali Patwary, Brian Austin +8
The nature of dark energy and the complete theory of gravity are two central questions currently facing cosmology. A vital tool for addressing them is the 3-point correlation funct…
Probabilistic Cosmological Mass Mapping from Weak Lensing Shear
Michael D. Schneider, Karen Y. Ng, William A. Dawson +3
We infer gravitational lensing shear and convergence fields from galaxy ellipticity catalogs under a spatial process prior for the lensing potential. We demonstrate the performance…
GREAT3 results I: systematic errors in shear estimation and the impact of real galaxy morphology
Rachel Mandelbaum, Barnaby Rowe, Robert Armstrong +40
We present first results from the third GRavitational lEnsing Accuracy Testing (GREAT3) challenge, the third in a sequence of challenges for testing methods of inferring weak gravi…
Hierarchical probabilistic inference of cosmic shear
Michael D. Schneider, David W. Hogg, Philip J. Marshall +4
Point estimators for the shearing of galaxy images induced by gravitational lensing involve a complex inverse problem in the presence of noise, pixelization, and model uncertaintie…