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astro-ph.CO2026
(The) Wiggles going non-linear
Nathan Cohen, Jan Hamann
The simplest models of slow-roll inflation predict a featureless, nearly scale-invariant power spectrum of primordial curvature perturbations, consistent with current observations.…
astro-ph.CO2026
TUNeS: Neural Emulation of Large-Scale Structure Across Redshifts
Yuqi Kang, Hu Bin, Dongxing Li +1
In this work, we introduce TUNeS (Temporal UNet emulator for Structure formation), a neural network framework for accelerating N-body simulations by predicting the nonlinear evolut…
astro-ph.CO2026
Bayesian optimisation for Bayesian evidence (BOBE) -- a fast and efficient likelihood emulator for model selection
Nathan Cohen, Jan Hamann, Ameek Malhotra
The formalism of Bayesian model selection provides a very elegant way of ranking different physical models in terms of how compatible they are with a given set of observed data. Ho…