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Cited article:

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

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Monthly Notices of the Royal Astronomical Society 524 (4) 6167 (2023)
https://doi.org/10.1093/mnras/stad2262

KiDS-1000 cosmology: Cosmic shear constraints and comparison between two point statistics

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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)
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KiDS-1000 methodology: Modelling and inference for joint weak gravitational lensing and spectroscopic galaxy clustering analysis

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Astronomy & Astrophysics 646 A129 (2021)
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Two-point Statistics without Bins: A Continuous-function Generalization of the Correlation Function Estimator for Large-scale Structure

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The Astrophysical Journal 909 (2) 220 (2021)
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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)
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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)
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A bias in cosmic shear from galaxy selection: results from ray-tracing simulations

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Astronomy & Astrophysics 528 A51 (2011)
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