2006
DOI: 10.1111/j.1365-2966.2006.10084.x
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Smear fitting: a new image-deconvolution method for interferometric data

Abstract: A new technique is presented for producing images from interferometric data. The method, ‘smear fitting’, makes the constraints necessary for interferometric imaging double as a model, with uncertainties, of the sky brightness distribution. It does this by modelling the sky with a set of functions and then convolving each component with its own elliptical Gaussian to account for the uncertainty in its shape and location that arises from noise. This yields much sharper resolution than clean for significantly de… Show more

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Cited by 7 publications
(6 citation statements)
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“…A final 2 http://www.vla.nrao.edu/astro/calib/manual/ examination of the calibrated visibilities was made prior to image construction. The visibility data for Cyg OB2 #5 were deconvolved via model fitting using the smerf patch (Reid 2006) to the difmap package (Shepherd et al 1995). This is a technique used widely in VLBI image reconstruction, rather than the well-known clean technique.…”
Section: Very Large Arraymentioning
confidence: 99%
See 1 more Smart Citation
“…A final 2 http://www.vla.nrao.edu/astro/calib/manual/ examination of the calibrated visibilities was made prior to image construction. The visibility data for Cyg OB2 #5 were deconvolved via model fitting using the smerf patch (Reid 2006) to the difmap package (Shepherd et al 1995). This is a technique used widely in VLBI image reconstruction, rather than the well-known clean technique.…”
Section: Very Large Arraymentioning
confidence: 99%
“…The visibility data for Cyg OB2 #5 were deconvolved via model fitting using the smerf patch (Reid 2006) to the difmap package (Shepherd et al 1995). This is a technique used widely in VLBI image reconstruction, rather than the well-known clean technique.…”
Section: Very Large Arraymentioning
confidence: 99%
“…This was done using an automated model-fitting routine, the modcons macro within the smerf patch (Reid 2006) to the Difmap package (Shepherd 1997). The major advantage of the "smear fitting" method implemented by smerf is that it yields higher resolution for significantly detected features than estimated by the oft-used Rayleigh criteria (Reid 2006), represented by the FWHM of the synthesized beam. A model was established for the 8.6-GHz visibilities consisting of point and Gaussian source models, using the image data to guide the modelling process.…”
Section: Observationsmentioning
confidence: 99%
“…MEM techniques have been also extended to take into account source structure through the use of multiresolution and wavelet based techniques [9], global non-negative least squares was proposed by Briggs [10], matrix based parametric imaging such as the Least Squares Minimum Variance Imaging (LS-MVI), maximum likelihood based techniques in [11], [12], [13] and sparse L1 reconstruction in [14] and [15]. Source modeling is an important issue and various techniques to improve modeling over simple point source models by using shapelets, wavelets and Gaussians [16] have been implemented. A more extensive overview of classical techniques and implementation issues is given in [17] or [18].…”
Section: Introductionmentioning
confidence: 99%