163 citations · 1.3k across the 18 of their papers we have counts for
18 papers
CosmoGAN: creating high-fidelity weak lensing convergence maps using Generative Adversarial Networks
Mustafa Mustafa, Deborah Bard, Wahid Bhimji +3
Inferring model parameters from experimental data is a grand challenge in many sciences, including cosmology. This often relies critically on high fidelity numerical simulations, w…
Emulating the CFHTLenS Weak Lensing data: Cosmological Constraints from moments and Minkowski functionals
Andrea Petri, Jia Liu, Zoltan Haiman +3
Weak gravitational lensing is a powerful cosmological probe, with non--Gaussian features potentially containing the majority of the information. We examine constraints on the param…
Cosmology Constraints from the Weak Lensing Peak Counts and the Power Spectrum in CFHTLenS
Jia Liu, Andrea Petri, Zoltan Haiman +3
Lensing peaks have been proposed as a useful statistic, containing cosmological information from non-Gaussianities that is inaccessible from traditional two-point statistics such a…
Masked areas in shear peak statistics: a forward modeling approach
Deborah Bard, Jan M. Kratochvil, William Dawson
The statistics of shear peaks have been shown to provide valuable cosmological information beyond the power spectrum, and will be an important constraint of models of cosmology wit…
The impact of spurious shear on cosmological parameter estimates from weak lensing observables
Andrea Petri, Morgan May, Zoltan Haiman +1
Residual errors in shear measurements, after corrections for instrument systematics and atmospheric effects, can impact cosmological parameters derived from weak lensing observatio…
The Impact of Magnification and Size Bias on Weak Lensing Power Spectrum and Peak Statistics
Jia Liu, Zoltán Haiman, Lam Hui +2
The weak lensing power spectrum is a powerful tool to probe cosmological parameters. Additionally, lensing peak counts contain cosmological information beyond the power spectrum. B…