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3 papers
Bayesian Deep Gaussian Processes for Correlated Functional Data: A Case Study in Cosmological Matter Power Spectra
Stephen A. Walsh, Annie S. Booth, David Higdon +3
Understanding the structure of our universe and the distribution of matter is an area of active research. As cosmological surveys grow in complexity, the development of emulators t…
Emulator-Based Inference of Cosmological Subgrid Models
Nesar Ramachandra, Nicholas Frontiere, Michael Buehlmann +4
The formation of structure in the Universe at large scales is dominated by gravity, with baryonic physics becoming significant at scales. To capture the impact of b…
Bayesian "Deep" Process Convolutions: An Application in Cosmology
Kelly R. Moran, Richard Payne, Earl Lawrence +7
The nonlinear matter power spectrum in cosmology describes how matter density fluctuations vary with scale in the universe, providing critical insights into large-scale structure f…