# Optimizing Simulation Parameters for Weak Lensing Analyses Involving Non-Gaussian Observables

@article{Matilla2019OptimizingSP, title={Optimizing Simulation Parameters for Weak Lensing Analyses Involving Non-Gaussian Observables}, author={Jos{\'e} Manuel Zorrilla Matilla and Stefan Waterval and Zolt{\'a}n Haiman}, journal={The Astronomical Journal}, year={2019}, volume={159} }

We performed a series of numerical experiments to quantify the sensitivity of the predictions for weak lensing statistics obtained in ray-tracing dark matter (DM)-only simulations, to two hyper-parameters that influence the accuracy as well as the computational cost of the predictions: the thickness of the lens planes used to build past light cones and the mass resolution of the underlying DM simulation. The statistics considered are the power spectrum (PS) and a series of non-Gaussian…

## 3 Citations

### Probability distribution function of the aperture mass field with large deviation theory

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In the context of tomographic cosmic shear surveys, a theoretical model for the one-point statistics of the aperture mass (Map) is developed. This formalism is based on the application of the large…

### Cosmic shear cosmology beyond two-point statistics: a combined peak count and correlation function analysis of DES-Y1

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We constrain cosmological parameters from a joint cosmic shear analysis of peak-counts and the two-point shear correlation functions, as measured from the Dark Energy Survey (DES-Y1). We find the…

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NonGaussian cosmic shear statistics based on weak-lensing aperture mass (Map) maps can outperform the classical shear two-point correlation function (γ-2PCF) in terms of cosmological constraining…

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