244 citations · 1.5k across the 146 of their papers we have counts for
6 papers · 1 filter
Euclid: Covariance of weak lensing pseudo- estimates. Calculation, comparison to simulations, and dependence on survey geometry
R. E. Upham, M. L. Brown, L. Whittaker +102
An accurate covariance matrix is essential for obtaining reliable cosmological results when using a Gaussian likelihood. In this paper we study the covariance of pseudo- es…
Impact of bar resonances in the velocity-space distribution of the solar neighbourhood stars in a self-consistent -body Galactic disc simulation
Tetsuro Asano, Michiko S. Fujii, Junichi Baba +3
The velocity-space distribution of the solar neighbourhood stars shows complex substructures. Most of the previous studies use static potentials to investigate their origins. Inste…
EuCAPT White Paper: Opportunities and Challenges for Theoretical Astroparticle Physics in the Next Decade
R. Alves Batista, M. A. Amin, G. Barenboim +134
Astroparticle physics is undergoing a profound transformation, due to a series of extraordinary new results, such as the discovery of high-energy cosmic neutrinos with IceCube, the…
Matching Bayesian and frequentist coverage probabilities when using an approximate data covariance matrix
Will J. Percival, Oliver Friedrich, Elena Sellentin +1
Observational astrophysics consists of making inferences about the Universe by comparing data and models. The credible intervals placed on model parameters are often as important a…
MCMC generation of cosmological fields far beyond Gaussianity
Joey R. Braspenning, Elena Sellentin
Structure formation in our Universe creates non-Gaussian random fields that will soon be observed over almost the entire sky by the Euclid satellite, the Vera-Rubin observatory, an…
Ultra-large-scale approximations and galaxy clustering: debiasing constraints on cosmological parameters
Matteo Martinelli, Roohi Dalal, Fereshteh Majidi +3
Upcoming galaxy surveys will allow us to probe the growth of the cosmic large-scale structure with improved sensitivity compared to current missions, and will also map larger areas…