activity
20162026
most citedKiDS-SBI: Simulation-based inference analysis of KiDS-1000 cosmic shear

29 citations · 47 across the 7 of their papers we have counts for

collaborators

7 papers

astro-ph.CO2026

A guide to choosing data compression methods for cosmological inference

Susan Pyne, Benjamin Joachimi, Calum Gordon +1

We provide a pedagogical guide to help researchers choose an appropriate compression method for cosmological inference and numerical covariance estimation, trading off the balance…

astro-ph.CO2026

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 just 60 -body simulations. The weak lensing shear field…

astro-ph.CO2025

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…

cs.LG2024

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…

astro-ph.CO2024★ 29 cited

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…

astro-ph.CO2022★ 18 cited

A simulation-based inference pipeline for cosmic shear with the Kilo-Degree Survey

Kiyam Lin, Maximilian von Wietersheim-Kramsta, Benjamin Joachimi +1

The standard approach to inference from cosmic large-scale structure data employs summary statistics that are compared to analytic models in a Gaussian likelihood with pre-computed…

physics.gen-ph2016

Information Mechanics

Kiyam Lin, SongLing Lin

Despite the wide usage of information as a concept in science, we have yet to develop a clear & concise scientific definition. This paper is aimed at laying the foundations for a n…