4 papers
Field-level weak lensing cosmology with simulations using multifidelity simulation-based inference
Alex A. Saoulis, Kiyam Lin, Niall Jeffrey +5
We perform a realistic KiDS-Legacy mock analysis with field-level neural compression and simulation-based inference using fewer than 100 -body simulations. The weak lensing shea…
Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison
Kiyam Lin, Alicja Polanska, Davide Piras +2
A core motivation of science is to evaluate which scientific model best explains observed data. Bayesian model comparison provides a principled statistical approach to comparing sc…
KiDS-SBI: Simulation-based inference analysis of KiDS-1000 cosmic shear
Maximilian von Wietersheim-Kramsta, Kiyam Lin, Nicolas Tessore +4
We present a simulation-based inference (SBI) cosmological analysis of cosmic shear two-point statistics from the fourth weak gravitational lensing data release of the ESO Kilo-Deg…
Simulation-based inference with scattering representations: scattering is all you need
Kiyam Lin, Benjamin Joachimi, Jason D. McEwen
We demonstrate the successful use of scattering representations without further compression for simulation-based inference (SBI) with images (i.e. field-level), illustrated with a…