Optimizing simulation parameters for weak lensing analyses involving non-Gaussian observables

30 Apr 2020 Matilla José Manuel Zorrilla Waterval Stefan Haiman Zoltán

We performed a series of numerical experiments to quantify the sensitivity of the predictions for weak lensing statistics obtained in raytracing 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 and a series of non-Gaussian observables, including the one-point probability density function, lensing peaks, and Minkowski functionals... (read more)

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