A Bayesian deep Gaussian process with correlated functional noise estimates infinite-volume matter power spectra and, via PCA and GP emulation, predicts spectra at unobserved cosmologies.
pkann – II. A non- linear matter power spectrum interpolator developed using artificial neural networks
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Bayesian Deep Gaussian Processes for Correlated Functional Data: A Case Study in Cosmological Matter Power Spectra
A Bayesian deep Gaussian process with correlated functional noise estimates infinite-volume matter power spectra and, via PCA and GP emulation, predicts spectra at unobserved cosmologies.