Combining patch-level neural summaries with power spectrum and bispectrum extracts roughly as much cosmological information from dark matter simulations as wavelet statistics, apparently nearing the information limit at 7.8 Mpc/h resolution.
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PatchNet: A hierarchical approach for neural field-level inference from Quijote Simulations
Combining patch-level neural summaries with power spectrum and bispectrum extracts roughly as much cosmological information from dark matter simulations as wavelet statistics, apparently nearing the information limit at 7.8 Mpc/h resolution.