244 citations · 1.5k across the 146 of their papers we have counts for
4 papers · 1 filter
Almanac: Weak Lensing power spectra and map inference on the masked sphere
A. Loureiro, L. Whiteway, E. Sellentin +3
We present a field-based signal extraction of weak lensing from noisy observations on the curved and masked sky. We test the analysis on a simulated Euclid-like survey, using a Euc…
Identifying the most constraining ice observations to infer molecular binding energies
Johannes Heyl, Elena Sellentin, Jonathan Holdship +1
In order to understand grain-surface chemistry, one must have a good understanding of the reaction rate parameters. For diffusion-based reactions, these parameters are binding ener…
Bayesian error propagation for neural-net based parameter inference
Daniela Grandón, Elena Sellentin
Neural nets have become popular to accelerate parameter inferences, especially for the upcoming generation of galaxy surveys in cosmology. As neural nets are approximative by natur…
Extremely expensive likelihoods: A variational-Bayes solution for precision cosmology
Matteo Rizzato, Elena Sellentin
We present a variational-Bayes solution to compute non-Gaussian posteriors from extremely expensive likelihoods. Our approach is an alternative for parameter inference when MCMC sa…