• gravitational lensing: weak;
  • methods: statistical;
  • cosmology: theory;
  • dark matter


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.