Continuous time flow models estimating full-field probability densities detect out-of-distribution weak lensing maps from baryonic effects with AUROC up to 0.95, outperforming feature-level normalizing flow baselines.
Rejuvenating the matter power spectrum: restoring information with a logarithmic density mapping
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
abstract
We find that nonlinearities in the dark-matter power spectrum are dramatically smaller if the density field first undergoes a logarithmic mapping. In the Millennium simulation, this procedure produces a power spectrum with a shape hardly departing from the linear power spectrum for k <~ 1 h/Mpc at all redshifts. Also, this procedure unveils pristine Fisher information on a range of scales reaching a factor of 2-3 smaller than in the standard power spectrum, yielding 10 times more cumulative signal-to-noise at z=0.
fields
astro-ph.CO 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Detecting Modeling Bias with Continuous Time Flow Models on Weak Lensing Maps
Continuous time flow models estimating full-field probability densities detect out-of-distribution weak lensing maps from baryonic effects with AUROC up to 0.95, outperforming feature-level normalizing flow baselines.