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KiDS-SBI: Simulation-based inference analysis of KiDS-1000 cosmic shear
Maximilian von Wietersheim-Kramsta, Kiyam Lin, Nicolas Tessore, Benjamin Joachimi, Arthur Loureiro, Robert Reischke and Angus H. Wright Astronomy & Astrophysics 694 A223 (2025) https://doi.org/10.1051/0004-6361/202450487
A simulation-based inference pipeline for cosmic shear with the Kilo-Degree Survey
Kiyam Lin, Maximilian von wietersheim-Kramsta, Benjamin Joachimi and Stephen Feeney Monthly Notices of the Royal Astronomical Society 524(4) 6167 (2023) https://doi.org/10.1093/mnras/stad2262
Non-Gaussian likelihood of weak lensing power spectra
Dark Energy Survey year 3 results: covariance modelling and its impact on parameter estimation and quality of fit
O Friedrich, F Andrade-Oliveira, H Camacho, et al. Monthly Notices of the Royal Astronomical Society 508(3) 3125 (2021) https://doi.org/10.1093/mnras/stab2384
KiDS-1000 methodology: Modelling and inference for joint weak gravitational lensing and spectroscopic galaxy clustering analysis
Non-Gaussianity in the weak lensing correlation function likelihood – implications for cosmological parameter biases
Chien-Hao Lin, Joachim Harnois-Déraps, Tim Eifler, et al. Monthly Notices of the Royal Astronomical Society 499(2) 2977 (2020) https://doi.org/10.1093/mnras/staa2948
Cosmological inference from galaxy-clustering power spectrum: Gaussianization and covariance decomposition
Mike (Shengbo) Wang, Will J Percival, Santiago Avila, Robert Crittenden and Davide Bianchi Monthly Notices of the Royal Astronomical Society 486(1) 951 (2019) https://doi.org/10.1093/mnras/stz829
Astrophysical Applications of Gravitational Lensing