Probe combination in large galaxy surveys : Application of Fisher information and Shannon entropy to weak lensing
Julien Carron, Adam Amara, Simon Lilly

TL;DR
This paper develops a framework using Fisher information and Shannon entropy to optimize the combination of galaxy survey observables, enhancing weak lensing analysis without assuming Gaussianity.
Contribution
It introduces a model-independent method to evaluate Fisher information in galaxy surveys using entropy curvature, applicable to non-Gaussian data and multiple weak lensing probes.
Findings
Combination of probes reduces noise in lensing E-mode spectrum.
Provides bounds for extracting information from joint weak lensing observables.
Framework applicable to non-Gaussian data and model-independent analysis.
Abstract
This paper is aimed at developing a better understanding of the structure of the information that in contained in galaxy surveys, so as to find optimal ways to combine observables from such surveys. We first show how Jaynes' Maximal Entropy Principle allows us, in the general case, to express the Fisher information content of data sets in terms of the curvature of the Shannon entropy surface with respect to the relevant observables. This allows us to understand the Fisher information content of a data set, once a physical model is specified, independently of the specific way that the data will be processed, and without any assumptions of Gaussianity. This includes as a special case the standard Fisher matrix prescriptions for Gaussian variables widely used in the cosmological community, for instance for power spectra extraction. As an application of this approach, we evaluate the…
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