Articles citing this article

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Cited article:

Making the leap. Part I. Modelling the reconstructed lensing convergence PDF from cosmic shear with survey masks and systematics

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Journal of Cosmology and Astroparticle Physics 2024 (03) 060 (2024)
https://doi.org/10.1088/1475-7516/2024/03/060

Astronomia ex machina: a history, primer and outlook on neural networks in astronomy

Michael J. Smith and James E. Geach
Royal Society Open Science 10 (5) (2023)
https://doi.org/10.1098/rsos.221454

The Dawes Review 10: The impact of deep learning for the analysis of galaxy surveys

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Publications of the Astronomical Society of Australia 40 (2023)
https://doi.org/10.1017/pasa.2022.55

Uncertainty-aware blob detection with an application to integrated-light stellar population recoveries

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Astronomy & Astrophysics 674 A59 (2023)
https://doi.org/10.1051/0004-6361/202244739

Can diffusion model conditionally generate astrophysical images?

Xiaosheng Zhao, Yuan-Sen Ting, Kangning Diao and Yi Mao
Monthly Notices of the Royal Astronomical Society 526 (2) 1699 (2023)
https://doi.org/10.1093/mnras/stad2778

Beyond Gaussian Noise: A Generalized Approach to Likelihood Analysis with Non-Gaussian Noise

Ronan Legin, Alexandre Adam, Yashar Hezaveh and Laurence Perreault-Levasseur
The Astrophysical Journal Letters 949 (2) L41 (2023)
https://doi.org/10.3847/2041-8213/acd645

IllustrisTNG in the HSC-SSP: image data release and the major role of mini mergers as drivers of asymmetry and star formation

Connor Bottrell, Hassen M Yesuf, Gergö Popping, Kiyoaki Christopher Omori, Shenli Tang, Xuheng Ding, Annalisa Pillepich, Dylan Nelson, Lukas Eisert, Hua Gao, Andy D Goulding, Boris S Kalita, Wentao Luo, Jenny E Greene, Jingjing Shi and John D Silverman
Monthly Notices of the Royal Astronomical Society 527 (3) 6506 (2023)
https://doi.org/10.1093/mnras/stad2971