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A Radio-interferometric Imaging Method Based on Adaptively Learned Sparsifying Basis
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Accelerating the CLEAN algorithm of radio interferometry with convex optimization
PolyCLEAN: Atomic optimization for super-resolution imaging and uncertainty estimation in radio interferometry
Adrian Jarret, Sepand Kashani, Joan Rué-Queralt, Paul Hurley, Julien Fageot and Matthieu Simeoni Astronomy & Astrophysics 693 A225 (2025) https://doi.org/10.1051/0004-6361/202450970
A U-Net Based Method for Radio Astronomical Image Deconvolution
Xinghui Zhou, Qianyun Yun, Hui Deng, Yangfan Xie, Yijun Xu, Feng Wang and Ying Mei Research in Astronomy and Astrophysics 25(10) 104001 (2025) https://doi.org/10.1088/1674-4527/adf710
How to make CLEAN variants faster using clustered components informed by the autocorrelation function
A Radio-interferometric Imaging Method Based on the Wavelet Tight Frame
Xiaocheng Yang, Xiang You, Lin Wu, Jingye Yan, Feng Liu, Mingfeng Jiang and Junbao Zheng The Astronomical Journal 169(3) 130 (2025) https://doi.org/10.3847/1538-3881/ada28d
A Lq Proximal Gradient Algorithm for Radio-interferometric Imaging
Xiaocheng Yang, Huangfeng Cheng, Lin Wu, Jingye Yan, Mingfeng Jiang and Xu Yang Publications of the Astronomical Society of the Pacific 137(2) 024502 (2025) https://doi.org/10.1088/1538-3873/adb334
An Iteration Method for Astronomical Image Deconvolution and Reconstruction
The R2D2 Deep Neural Network Series Paradigm for Fast Precision Imaging in Radio Astronomy
Amir Aghabiglou, Chung San Chu, Arwa Dabbech and Yves Wiaux The Astrophysical Journal Supplement Series 273(1) 3 (2024) https://doi.org/10.3847/1538-4365/ad46f5
fast-resolve: Fast Bayesian radio interferometric imaging
Jakob Roth, Philipp Frank, Hertzog L. Bester, Oleg M. Smirnov, Rüdiger Westermann and Torsten A. Enßlin Astronomy & Astrophysics 690 A387 (2024) https://doi.org/10.1051/0004-6361/202451107
New-generation maximum entropy method: a Lagrangian-based algorithm for dynamic reconstruction of interferometric data
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
Multiscale and multidirectional very long baseline interferometry imaging with CLEAN
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
A Model Estimator for Noisy Compact Emission Recovery in Radio Synthesis Imaging
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
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
Study on SKA Image Deconvolution Using Deep Learning
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
An Amplitude-Based CLEAN Astronomical Image Reconstruction Algorithm
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
An efficient way to use MS‐CLEAN associated with Shannon's entropy
Fast algorithms to approximate the position-dependent point spread function responses in radio interferometric wide-field imaging
M Atemkeng, O Smirnov, C Tasse, G Foster and S Makhathini Monthly Notices of the Royal Astronomical Society 499(1) 292 (2020) https://doi.org/10.1093/mnras/staa2843
Adaptive-scale wide-field reconstruction for radio synthesis 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
Sparse interferometric Stokes imaging under the polarization constraint (Polarized SARA)
Jasleen Birdi, Audrey Repetti and Yves Wiaux Monthly Notices of the Royal Astronomical Society 478(4) 4442 (2018) https://doi.org/10.1093/mnras/sty1182
Fused CLEAN deconvolution for compact and diffuse emission
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
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
Robust sparse image reconstruction of radio interferometric observations with purify
Luke Pratley, Jason D. McEwen, Mayeul d'Avezac, et al. Monthly Notices of the Royal Astronomical Society 473(1) 1038 (2018) https://doi.org/10.1093/mnras/stx2237
An accelerated splitting algorithm for radio-interferometric imaging: when natural and uniform weighting meet
Alexandru Onose, Arwa Dabbech and Yves Wiaux Monthly Notices of the Royal Astronomical Society 469(1) 938 (2017) https://doi.org/10.1093/mnras/stx755
LEAP: Looking beyond pixels with continuous-space EstimAtion of Point sources
Non-convex optimization for self-calibration of direction-dependent effects in radio interferometric imaging
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
The adaptive-loop-gain adaptive-scale CLEAN deconvolution of radio interferometric images
Scalable splitting algorithms for big-data interferometric imaging in the SKA era
Alexandru Onose, Rafael E. Carrillo, Audrey Repetti, et al. Monthly Notices of the Royal Astronomical Society 462(4) 4314 (2016) https://doi.org/10.1093/mnras/stw1859
Nicholas M. Elias II, Martin Harwit, David Leisawitz and Stephen A. Rinehart The Astrophysical Journal 657(2) 1178 (2007) https://doi.org/10.1086/510878
Smear fitting: a new image-deconvolution method for interferometric data