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23/03/2022 Meeting notes #26

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Victoria-Samboco opened this issue Mar 25, 2023 · 4 comments
Open

23/03/2022 Meeting notes #26

Victoria-Samboco opened this issue Mar 25, 2023 · 4 comments

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@Victoria-Samboco
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For this meeting we discussed about some different results from deconvolution using different values of threshold. Where the results wheer not showing what was expected because Sun was being fitted by point sources which is probably affecting the results of Sun's model.

A solution for that is the use of Wsclean -multiscale cleaning which is useful for accurate deconvolution of resolved sources together with the RMS as the threshold.
Bellow I show the comparison between the residual images without and with multiscale deconvolution (upper left and right images) and also the images of the Model (lower left and right, without and with multiscale deconvolution respectively).

image

@Victoria-Samboco
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Images Before and after subtraction with the model constructed with -multiscale cleaning. The results now are better, I think now I have to adjust the threshold value.
image

@o-smirnov
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Multiscale residuals certainly look a lot better, but I'm surprised there's so much stuff left over after subtracting the model. My naive expectation would be that subtracting the model would give something very similar to the deconvolution residuals, but it doesn't look to have subtracted all that much. What are the peak values before and after subtraction?

@Victoria-Samboco
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Multiscale residuals certainly look a lot better, but I'm surprised there's so much stuff left over after subtracting the model. My naive expectation would be that subtracting the model would give something very similar to the deconvolution residuals, but it doesn't look to have subtracted all that much. What are the peak values before and after subtraction?

The peak values are 1.75e-3 and 1.00e-3 Jy/Beam

@Victoria-Samboco
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Comparison between the field of view before (left) and after (right) subtraction. Well from the subtraction in this case we dont have much improvements.
image

Subtracted images with padding=1.5 (left) and padding=2 (right). In this case the padding were able to remove most of the aliasing in the FoV.
image

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