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- W2783303161 abstract "ABSTRACT We develop a novel algorithm for sparse imaging of Stokes parameters in radio interferometry under the polarization constraint. The latter is a physical non-linear relation between the Stokes parameters, imposing the polarization intensity as a lower bound on the total intensity. To solve the joint inverse Stokes imaging problem including this bound, we leverage epigraphical projection techniques in convex optimization and we design a primal–dual method offering a highly flexible and parallelizable structure. In addition, we propose to regularize each Stokes parameter map through an average sparsity prior in the context of a reweighted analysis approach (SARA). The resulting method is dubbed Polarized SARA. Using simulated observations of M87 with the Event Horizon Telescope, we demonstrate that imposing the polarization constraint leads to superior image quality. For the considered data sets, the results also indicate better performance of the average sparsity prior in comparison with the widely used Cotton–Schwab clean algorithm and other total variation based priors for polarimetric imaging. Our matlab code is available online on GitHub." @default.
- W2783303161 created "2018-01-26" @default.
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- W2783303161 date "2018-07-04" @default.
- W2783303161 modified "2023-10-16" @default.
- W2783303161 title "Sparse interferometric Stokes imaging under the polarization constraint (Polarized SARA)" @default.
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- W2783303161 doi "https://doi.org/10.1093/mnras/sty1182" @default.
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