wasimraja81
commented
2 years ago Hi Alec,
The analytic method I introduced will convolve the image to any resolution (higher/coarser than the native synthesised beam). I do not quite follow the inverse Gaussian method Paddy speaks of. What I do is simple - convolve the un-restored image. Once you un-restore, you can restore/convolve with Gaussian of any width.
wasim
On 21 Sep 2022, at 12:13, Alec Thomson @.***> wrote:
Suggestion from Paddy Leahy - it's possible in some other convolvers to choose a resolution higher than the lowest common resolution. In this case, rather than convolving with a Gaussian, the kernal is an inverse Gaussian - upweighting longer baselines. The tradeoff is that the noise becomes larger. This can be acceptable within some reasonable range.
@wasimraja81 - we should discuss to see if this is possible in our analytic convolution scheme. Care would need to be taken to preserve units in Jy/beam.
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Suggestion from Paddy Leahy - it's possible in some other convolvers to choose a resolution higher than the lowest common resolution. In this case, rather than convolving with a Gaussian, the kernal is an inverse Gaussian - upweighting longer baselines. The tradeoff is that the noise becomes larger. This can be acceptable within some reasonable range.
@wasimraja81 - we should discuss to see if this is possible in our analytic convolution scheme. Care would need to be taken to preserve units in Jy/beam.