On simulated weak lensing maps, the Neural Field Scattering Transform with trained filters improves constraints on sigma_8 and w by 6-11% and posterior density by about 17% over the standard Wavelet Scattering Transform.
To treat each summary statistic equally in the downstream analysis, we choose to pre-train the NFST and CNN summary statistics and freeze their trainable components
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Learning Balanced Field Summaries of the Large-Scale Structure with the Neural Field Scattering Transform
On simulated weak lensing maps, the Neural Field Scattering Transform with trained filters improves constraints on sigma_8 and w by 6-11% and posterior density by about 17% over the standard Wavelet Scattering Transform.