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We quantify the performance of a non‐linear Wiener filter, constructed in wavelet space, at recovering some of the Fisher information that was lost in the weak lensing convergence field. The proposed method consists of a separation of the original field into the sum of a Gaussian and a non‐Gaussian contribution. After filtering an ensemble of such fields, which are obtained from  N ‐body simulations, we find that we can recapture about four times more Fisher information, an effect that can potentially improve by a significant amount the constraining power of weak lensing surveys on cosmological parameters, including the dark energy equation of state ω. We compare this performance with that of a logarithmic mapping and find that the wavelet method can recover up to three times more information.

Information content in the angular power spectrum of weak lensing: wavelet method