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AKRA 2.0: Accurate Kappa Reconstruction Algorithm for masked shear catalog
Yuan Shi, Pengjie Zhang, Furen Deng, Shuren Zhou, Hongbo Cai, Ji Yao and Zeyang Sun Journal of Cosmology and Astroparticle Physics 2025(07) 038 (2025) https://doi.org/10.1088/1475-7516/2025/07/038
Psi-GAN: a power-spectrum-informed generative adversarial network for the emulation of large-scale structure maps across cosmologies and redshifts
Prabh Bhambra, Benjamin Joachimi, Ofer Lahav and Davide Piras Monthly Notices of the Royal Astronomical Society 536(3) 3138 (2024) https://doi.org/10.1093/mnras/stae2810
Accurate kappa reconstruction algorithm for masked shear catalog
Fast and realistic large-scale structure from machine-learning-augmented random field simulations
Davide Piras, Benjamin Joachimi and Francisco Villaescusa-Navarro Monthly Notices of the Royal Astronomical Society 520(1) 668 (2023) https://doi.org/10.1093/mnras/stad052
Starlet higher order statistics for galaxy clustering and weak lensing
Mapping dark matter on the celestial sphere with weak gravitational lensing
Christopher G R Wallis, Matthew A Price, Jason D McEwen, et al. Monthly Notices of the Royal Astronomical Society 509(3) 4480 (2021) https://doi.org/10.1093/mnras/stab3235
Noise reduction for weak lensing mass mapping: an application of generative adversarial networks to Subaru Hyper Suprime-Cam first-year data
Masato Shirasaki, Kana Moriwaki, Taira Oogi, Naoki Yoshida, Shiro Ikeda and Takahiro Nishimichi Monthly Notices of the Royal Astronomical Society 504(2) 1825 (2021) https://doi.org/10.1093/mnras/stab982
Weak lensing minima and peaks: Cosmological constraints and the impact of baryons
William R Coulton, Jia Liu, Ian G McCarthy and Ken Osato Monthly Notices of the Royal Astronomical Society 495(3) 2531 (2020) https://doi.org/10.1093/mnras/staa1098
Statistics of peaks of weakly non-Gaussian random fields: Effects of bispectrum in two- and three-dimensions
A black box for dark sector physics: predicting dark matter annihilation feedback with conditional GANs
Florian List, Ishaan Bhat and Geraint F Lewis Monthly Notices of the Royal Astronomical Society 490(3) 3134 (2019) https://doi.org/10.1093/mnras/stz2759
Denoising weak lensing mass maps with deep learning
Christopher T Davies, Marius Cautun and Baojiu Li Monthly Notices of the Royal Astronomical Society 488(4) 5833 (2019) https://doi.org/10.1093/mnras/stz2157
The matter fluctuation amplitude inferred from the weak lensing power spectrum and correlation function in CFHTLenS data
KiDS-450: cosmological constraints from weak-lensing peak statistics – II: Inference from shear peaks using N-body simulations
Nicolas Martinet, Peter Schneider, Hendrik Hildebrandt, et al. Monthly Notices of the Royal Astronomical Society 474(1) 712 (2018) https://doi.org/10.1093/mnras/stx2793
Fast cosmic web simulations with generative adversarial networks
KiDS-450: cosmological constraints from weak lensing peak statistics – I. Inference from analytical prediction of high signal-to-noise ratio convergence peaks
HuanYuan Shan, Xiangkun Liu, Hendrik Hildebrandt, et al. Monthly Notices of the Royal Astronomical Society 474(1) 1116 (2018) https://doi.org/10.1093/mnras/stx2837
Density split statistics: Joint model of counts and lensing in cells
The correspondence between convergence peaks from weak lensing and massive dark matter haloes
Chengliang Wei, Guoliang Li, Xi Kang, et al. Monthly Notices of the Royal Astronomical Society 478(3) 2987 (2018) https://doi.org/10.1093/mnras/sty1268
Projection Effects of Large-scale Structures on Weak-lensing Peak Abundances
Weak-lensing peaks in simulated light cones: investigating the coupling between dark matter and dark energy
Carlo Giocoli, Lauro Moscardini, Marco Baldi, Massimo Meneghetti and Robert B Metcalf Monthly Notices of the Royal Astronomical Society 478(4) 5436 (2018) https://doi.org/10.1093/mnras/sty1312
Weak lensing light-cones in modified gravity simulations with and without massive neutrinos
Carlo Giocoli, Marco Baldi and Lauro Moscardini Monthly Notices of the Royal Astronomical Society 481(2) 2813 (2018) https://doi.org/10.1093/mnras/sty2465
Non-Gaussian information from weak lensing data via deep learning
Carlo Giocoli, Sandra Di Meo, Massimo Meneghetti, et al. Monthly Notices of the Royal Astronomical Society 470(3) 3574 (2017) https://doi.org/10.1093/mnras/stx1399
Cosmological constraints with weak-lensing peak counts and second-order statistics in a large-field survey
The imprint of f(R) gravity on weak gravitational lensing – II. Information content in cosmic shear statistics
Masato Shirasaki, Takahiro Nishimichi, Baojiu Li and Yuichi Higuchi Monthly Notices of the Royal Astronomical Society 466(2) 2402 (2017) https://doi.org/10.1093/mnras/stw3254
CMB lensing beyond the power spectrum: Cosmological constraints from the one-point probability distribution function and peak counts