期刊
ASTRONOMICAL JOURNAL
卷 153, 期 4, 页码 -出版社
IOP PUBLISHING LTD
DOI: 10.3847/1538-3881/aa6302
关键词
polarization; techniques: high angular resolution; techniques: image processing; techniques: interferometric; techniques: polarimetric
资金
- Japan Society for the Promotion of Science (JSPS)
- NASA Massachusetts Space Grant Consortium
- National Science Foundation's (NSF) Research Experiences for Undergraduates program
- Perimeter Institute for Theoretical Physics
- Natural Sciences and Engineering Research Council of Canada
- ERC [610058]
- NSF [AST-1440254, AST-1614868]
- Gordon and Betty Moore Foundation [GMBF-3561]
- MEXT/JSPS KAKENHI [24540242, 25120007, 25120008]
- Government of Canada through Industry Canada
- Province of Ontario through Ministry of Research and Innovation
- Division Of Astronomical Sciences
- Direct For Mathematical & Physical Scien [1614868, 1156504] Funding Source: National Science Foundation
- Grants-in-Aid for Scientific Research [17H01116, 15K21718] Funding Source: KAKEN
We propose a new technique for radio interferometry to obtain superresolution full-polarization images in all four Stokes parameters using sparse modeling. The proposed technique reconstructs the image in each Stokes parameter from the corresponding full-complex Stokes visibilities by utilizing two regularization functions: the l(1) norm and the total variation (TV) of the brightness distribution. As an application of this technique, we present simulated linear polarization observations of two physically motivated models of M87 with the Event Horizon Telescope. We confirm that l(1)+TV regularization can achieve an optimal resolution of similar to 25%-30% of the diffraction limit lambda/D-max, which is the nominal spatial resolution of a radio interferometer for both the total intensity (i.e., Stokes I) and linear polarizations (i.e., Stokes Q and U). This optimal resolution is better than that obtained from the widely used Cotton-Schwab CLEAN algorithm or from using l(1) or TV regularizations alone. Furthermore, we find that l(1)+TV regularization can achieve much better image fidelity in linear polarization than other techniques over a wide range of spatial scales, not only in the superresolution regime, but also on scales larger than the diffraction limit. Our results clearly demonstrate that sparse reconstruction is a useful choice for high-fidelity full-polarimetric interferometric imaging.
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