Scattering transforms on the sphere, application to large scale structure modelling

2024/07/11 by L. Mousset, Mousset, Louise, Erwan Allys +11
Physics and Astronomy · Computer Science · #Galaxies: Formation, Evolution, Phenomena #Gaussian Processes and Bayesian Inference #Data Visualization and Analytics

paper · pdf · doi:10.48550/arxiv.2407.08687

Abstract

Scattering transforms are a new type of summary statistics recently developed for the study of highly non-Gaussian processes, which have been shown to be very promising for astrophysical studies. In particular, they allow one to build generative models of complex non-linear fields from a limited amount of data. In the context of upcoming cosmological surveys, the extension of these tools to spherical data is necessary. We develop scattering transforms on the sphere and focus on the construction of maximum-entropy generative models of astrophysical fields. The quality of the generative models, both statistically and visually, is very satisfying, which therefore open up a wide range of new applications for future cosmological studies.

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