The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Multiscale CLEAN Deconvolution of Radio Synthesis Images
Open accessAbstract
Radio synthesis imaging is dependent upon deconvolution algorithms to counteract the sparse sampling of the Fourier plane. These deconvolution algorithms find an estimate of the true sky brightness from the necessarily incomplete sampled visibility data. The most widely used radio synthesis deconvolution method is the CLEAN algorithm of Hogbom. This algorithm works extremely well for collections of point sources and surprisingly well for extended objects. However, the performance for extended objects can be improved by adopting a multiscale approach. We describe and demonstrate a conceptually simple and algorithmically straightforward extension to CLEAN that models the sky brightness by the summation of components of emission having different size scales. While previous multiscale algorithms work sequentially on decreasing scale sizes, our algorithm works simultaneously on a range of specified scales. Applications to both real and simulated data sets are given.
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Cites
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Interferometry and Synthesis in Radio Astronomy
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Interferometry and Synthesis in Radio Astronomy
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Image reconstruction from incomplete and noisy data
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Signal Reconstruction From Noisy Random Projections
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Cited by
CASA, the Common Astronomy Software Applications for Radio Astronomy
The CASA Team, Bean, B., Bhatnagar, S., Castro, S., Meyer, J. D., Emonts, B., Garcia, E., Garwood, R., Golap, K., Villalba, J. G., et al. (2022) · Publications of the Astronomical Society of the Pacific · doi:10.1088/1538-3873/ac9642 · Cited by 1,114
Event Horizon Telescope Collaboration, Akiyama, K., Alberdi, A., Alef, W., Algaba, J. C., Anantua, R., Asada, K., Azulay, R., Bach, U., Baczko, A.-K., et al. (2022) · The Astrophysical Journal Letters · doi:10.3847/2041-8213/ac6429 · Cited by 449
A multi-scale multi-frequency deconvolution algorithm for synthesis imaging in radio interferometry
Rau, U., & Cornwell, T. J. (2011) · Springer Link (Chiba Institute of Technology) · doi:10.1051/0004-6361/201117104/pdf · Cited by 259
Self-citationTHE RADIO RELICS AND HALO OF EL GORDO, A MASSIVE z= 0.870 CLUSTER MERGER
Lindner, R. R., Baker, A. J., Hughes, J. P., Battaglia, N., Gupta, N., Knowles, K., Marriage, T. A., Menanteau, F., Moodley, K., Reese, E. D., et al. (2014) · The Astrophysical Journal · doi:10.1088/0004-637x/786/1/49 · Cited by 94
Metadata
- Authors
- Cornwell, T. J.
- Venue
- IEEE Journal of Selected Topics in Signal Processing
- Published
- 2008-10
- Volume
- 2
- Issue
- 5
- Pages
- 793-801
- ISSN
- 1932-4553 (ISSN-L)
- OpenAlex
- W2130736142
- Cited by
- 512
- References
- 16
- FWCI
- 6.68
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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