The Citing articles tool gives a list of articles citing the current article. The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
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
Reconstruction of weak lensing mass maps for non-Gaussian studies in the celestial sphere
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, et al. Monthly Notices of the Royal Astronomical Society 504(2) 1825 (2021) https://doi.org/10.1093/mnras/stab982
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
Weak-lensing Peak Statistics in Mocks by the Inverse-Gaussianization Method
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
Optimizing Simulation Parameters for Weak Lensing Analyses Involving Non-Gaussian Observables
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
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
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
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
Improving weak lensing mass map reconstructions using Gaussian and sparsity priors: application to DES SV
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
Quantifying systematics from the shear inversion on weak-lensing peak counts
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
Fast weak-lensing simulations with halo model
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