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PolyCLEAN: Atomic optimization for super-resolution imaging and uncertainty estimation in radio interferometry
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A U-Net Based Method for Radio Astronomical Image Deconvolution
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How to make CLEAN variants faster using clustered components informed by the autocorrelation function
A Lq Proximal Gradient Algorithm for Radio-interferometric Imaging
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Non-convex sparse regularisation for radio interferometric imaging via smoothly clipped absolute deviation
fast-resolve: Fast Bayesian radio interferometric imaging
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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
New-generation maximum entropy method: a Lagrangian-based algorithm for dynamic reconstruction of interferometric data
The R2D2 Deep Neural Network Series Paradigm for Fast Precision Imaging in Radio Astronomy
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CLEAN imaging systematics of M87 radio jet
I N Pashchenko, E V Kravchenko, E E Nokhrina and A S Nikonov Monthly Notices of the Royal Astronomical Society 523(1) 1247 (2023) https://doi.org/10.1093/mnras/stad1527
Using multiobjective optimization to reconstruct interferometric data. Part I
CASA, the Common Astronomy Software Applications for Radio Astronomy
The CASA Team, Ben Bean, Sanjay Bhatnagar, et al. Publications of the Astronomical Society of the Pacific 134(1041) 114501 (2022) https://doi.org/10.1088/1538-3873/ac9642
Study on SKA Image Deconvolution Using Deep Learning
Image reconstruction algorithms in radio interferometry: From handcrafted to learned regularization denoisers
Matthieu Terris, Arwa Dabbech, Chao Tang and Yves Wiaux Monthly Notices of the Royal Astronomical Society 518(1) 604 (2022) https://doi.org/10.1093/mnras/stac2672
An Amplitude-Based CLEAN Astronomical Image Reconstruction Algorithm
Deconvolution with hybrid parameterizations for radio emission reconstruction
Li 立 Zhang 张, Long Xu, Li-Gong Mi, Ming Zhang, Xiang Liu, Feng Wang, Yun-Jun Ruan and Dan-Yang Li Research in Astronomy and Astrophysics 21(4) 101 (2021) https://doi.org/10.1088/1674-4527/21/4/101
A Review of Radio Astronomical Image Reconstruction Algorithms
Adaptive scale model reconstruction for radio synthesis imaging
Li 利 Zhang 张, Li-Gong Mi, Long Xu, Ming Zhang, Dan-Yang Li, Xiang Liu, Feng Wang, Yi-Fan Xiao and Zhong-Zu Wu Research in Astronomy and Astrophysics 21(3) 063 (2021) https://doi.org/10.1088/1674-4527/21/3/63
Parameterized reconstruction with random scales for radio synthesis imaging
Polca SARA – full polarization, direction-dependent calibration, and sparse imaging for radio interferometry
Jasleen Birdi, Audrey Repetti and Yves Wiaux Monthly Notices of the Royal Astronomical Society 492(3) 3509 (2020) https://doi.org/10.1093/mnras/stz3555
Fast algorithms to approximate the position-dependent point spread function responses in radio interferometric wide-field imaging
A Malyali, M Rivi, F B Abdalla and J D McEwen Monthly Notices of the Royal Astronomical Society 486(2) 2695 (2019) https://doi.org/10.1093/mnras/stz977
RadioGAN – Translations between different radio surveys with generative adversarial networks
Nina Glaser, O Ivy Wong, Kevin Schawinski and Ce Zhang Monthly Notices of the Royal Astronomical Society 487(3) 4190 (2019) https://doi.org/10.1093/mnras/stz1534
Scale sequentially CLEAN for Mingantu Spectral Radioheliograph
Online radio interferometric imaging: assimilating and discarding visibilities on arrival
Xiaohao Cai, Luke Pratley and Jason D McEwen Monthly Notices of the Royal Astronomical Society 485(4) 4559 (2019) https://doi.org/10.1093/mnras/stz704
Wideband super-resolution imaging in Radio Interferometry via low rankness and joint average sparsity models (HyperSARA)
Abdullah Abdulaziz, Arwa Dabbech and Yves Wiaux Monthly Notices of the Royal Astronomical Society 489(1) 1230 (2019) https://doi.org/10.1093/mnras/stz2117
Efficient Multidimensional Diracs Estimation With Linear Sample Complexity
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Uncertainty quantification for radio interferometric imaging: II. MAP estimation
Xiaohao Cai, Marcelo Pereyra and Jason D McEwen Monthly Notices of the Royal Astronomical Society 480(3) 4170 (2018) https://doi.org/10.1093/mnras/sty2015
Uncertainty quantification for radio interferometric imaging – I. Proximal MCMC methods
Xiaohao Cai, Marcelo Pereyra and Jason D McEwen Monthly Notices of the Royal Astronomical Society 480(3) 4154 (2018) https://doi.org/10.1093/mnras/sty2004
Robust sparse image reconstruction of radio interferometric observations with purify
Revolutionizing Our Understanding of AGN Feedback and its Importance to Galaxy Evolution in the Era of the Next Generation Very Large Array
K. Nyland, J. J. Harwood, D. Mukherjee, P. Jagannathan, W. Rujopakarn, B. Emonts, K. Alatalo, G. V. Bicknell, T. A. Davis, J. E. Greene, A. Kimball, M. Lacy, Carol Lonsdale, Colin Lonsdale, W. P. Maksym, D. C. Molnár, L. Morabito, E. J. Murphy, P. Patil, I. Prandoni, M. Sargent and C. Vlahakis The Astrophysical Journal 859(1) 23 (2018) https://doi.org/10.3847/1538-4357/aab3d1
Cygnus A super-resolved via convex optimization from VLA data
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Audrey Repetti, Jasleen Birdi, Arwa Dabbech and Yves Wiaux Monthly Notices of the Royal Astronomical Society 470(4) 3981 (2017) https://doi.org/10.1093/mnras/stx1267
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RESOLVE: A new algorithm for aperture synthesis imaging of extended emission in radio astronomy
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Efficient implementation of the adaptive scale pixel decomposition algorithm
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Smear fitting: a new image-deconvolution method for interferometric data