Articles citing this article

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).

Cited article:

Fast generation of weak lensing maps with analytical point transformation functions

Kunhao Zhong, Gary Bernstein, Supranta S. Boruah, Bhuvnesh Jain and Sanjit Kobla
Physical Review D 111 (10) (2025)
https://doi.org/10.1103/PhysRevD.111.103507

Echoes in the Noise: Posterior Samples of Faint Galaxy Surface Brightness Profiles with Score-based Likelihoods and Priors

Alexandre Adam, Connor Stone, Connor Bottrell, Ronan Legin, Yashar Hezaveh and Laurence Perreaul-Levasseur
The Astronomical Journal 169 (5) 254 (2025)
https://doi.org/10.3847/1538-3881/adb039

Gravitational-wave Parameter Estimation in Non-Gaussian Noise Using Score-based Likelihood Characterization

Ronan Legin, Maximiliano Isi, Kaze W. K. Wong, Yashar Hezaveh and Laurence Perreault-Levasseur
The Astrophysical Journal Letters 985 (2) L46 (2025)
https://doi.org/10.3847/2041-8213/add681

Diffusion-HMC: Parameter Inference with Diffusion-model-driven Hamiltonian Monte Carlo

Nayantara Mudur, Carolina Cuesta-Lazaro and Douglas P. Finkbeiner
The Astrophysical Journal 978 (1) 64 (2025)
https://doi.org/10.3847/1538-4357/ad8bc3

Tackling the Problem of Distributional Shifts: Correcting Misspecified, High-dimensional Data-driven Priors for Inverse Problems

Gabriel Missael Barco, Alexandre Adam, Connor Stone, Yashar Hezaveh and Laurence Perreault-Levasseur
The Astrophysical Journal 980 (1) 108 (2025)
https://doi.org/10.3847/1538-4357/ad9b92

Distribution-free uncertainty quantification for inverse problems: Application to weak lensing mass mapping

H. Leterme, J. Fadili and J.-L. Starck
Astronomy & Astrophysics 694 A267 (2025)
https://doi.org/10.1051/0004-6361/202451756

Impact of weak-lensing mass-mapping algorithms on cosmology inference

Andreas Tersenov, Lucie Baumont, Jean-Luc Starck and Martin Kilbinger
Astronomy & Astrophysics 698 A25 (2025)
https://doi.org/10.1051/0004-6361/202553707

Galaxy imaging with generative models: insights from a two-models framework

Jean-Eric Campagne
Monthly Notices of the Royal Astronomical Society 539 (4) 3445 (2025)
https://doi.org/10.1093/mnras/staf533

Caustics: A Python Package for Accelerated Strong Gravitational Lensing Simulations

Connor Stone, Alexandre Adam, Adam Coogan, M. J. Yantovski-Barth, Andreas Filipp, Landung Setiawan, Cordero Core, Ronan Legin, Charles Wilson, Gabriel Missael Barco, Yashar Hezaveh and Laurence Perreault-Levasseur
Journal of Open Source Software 9 (103) 7081 (2024)
https://doi.org/10.21105/joss.07081

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

Alexandre Barthelemy, Anik Halder, Zhengyangguang Gong and Cora Uhlemann
Journal of Cosmology and Astroparticle Physics 2024 (03) 060 (2024)
https://doi.org/10.1088/1475-7516/2024/03/060

Denoising diffusion delensing: reconstructing the non-Gaussian CMB lensing potential with diffusion models

Thomas Flöss, William R Coulton, Adriaan J Duivenvoorden, Francisco Villaescusa-Navarro and Benjamin D Wandelt
Monthly Notices of the Royal Astronomical Society 533 (1) 423 (2024)
https://doi.org/10.1093/mnras/stae1818

Scalable Bayesian uncertainty quantification with data-driven priors for radio interferometric imaging

Tobías I Liaudat, Matthijs Mars, Matthew A Price, Marcelo Pereyra, Marta M Betcke and Jason D McEwen
RAS Techniques and Instruments 3 (1) 505 (2024)
https://doi.org/10.1093/rasti/rzae030

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

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

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

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

Fabian Parzer, Prashin Jethwa, Alina Boecker, et al.
Astronomy & Astrophysics 674 A59 (2023)
https://doi.org/10.1051/0004-6361/202244739

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

M. Huertas-Company and F. Lanusse
Publications of the Astronomical Society of Australia 40 (2023)
https://doi.org/10.1017/pasa.2022.55

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