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Fast Sampling from Wiener Posteriors for Image Data with Dataflow Engines
Niall Jeffrey, Alan F. Heavens, Philip D. Fortio
We use Dataflow Engines (DFE) to construct an efficient Wiener filter of noisy and incomplete image data, and to quickly draw probabilistic samples of the compatible true underlyin…
Bayesian Inference of Reaction Rates in Icy Mantles
Jonathan Holdship, Niall Jeffrey, Antonios Makrymallis +2
Grain surface chemistry and its treatment in gas-grain chemical models is an area of large uncertainty. Whilst laboratory experiments are making progress, there is still much that…
Parameter inference and model comparison using theoretical predictions from noisy simulations
Niall Jeffrey, Filipe B. Abdalla
When inferring unknown parameters or comparing different models, data must be compared to underlying theory. Even if a model has no closed-form solution to derive summary statistic…
Improving Weak Lensing Mass Map Reconstructions using Gaussian and Sparsity Priors: Application to DES SV
N. Jeffrey, F. B. Abdalla, O. Lahav +65
Mapping the underlying density field, including non-visible dark matter, using weak gravitational lensing measurements is now a standard tool in cosmology. Due to its importance to…