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spatial matching error seen in sub-milliarcsecond scale images #1734

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kswang1029 opened this issue Dec 2, 2021 · 2 comments · Fixed by #2190
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spatial matching error seen in sub-milliarcsecond scale images #1734

kswang1029 opened this issue Dec 2, 2021 · 2 comments · Fixed by #2190
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@kswang1029
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kswang1029 commented Dec 2, 2021

reported by a user

To study this issue and exclude potential proper motion in different epochs, I made three test images with different reference centers. The gaussian sources are 0.0001arcsec each in size. The pixel sizes are 0.00002arcsec, 0.000023arcsec, and 0.000019arcsec, respectively. So we can use this set of images to test spatial matching at such scales. These images before matching look like the following

Gaussian fits-Gaussian2 fits-Gaussian3 fits-image-2021-12-02-12-47-43

I tried to set the reference image to one of the images and match the others. The results are summarized below where v means matching correctly, and x means incorrectly.

Screen Shot 2021-12-02 at 12 53 05 PM

We see Gaussian2.fits has the issue (demo with Gaussan1.fits as the reference image).

Gaussian fits-Gaussian2 fits-Gaussian3 fits-image-2021-12-02-12-54-08

While using Gaussian3.fits as the reference, all the other two images can be matched well.

Gaussian fits-Gaussian2 fits-Gaussian3 fits-image-2021-12-02-12-58-15

I suspect this might be a coordinate rounding issue as we can see the offset is ~ the separation of the two close Gaussians.

Test image attached.

tmp.zip

@kswang1029
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@veggiesaurus help wanted~

@kswang1029 kswang1029 added the bug Something isn't working label Dec 2, 2021
@kswang1029 kswang1029 added this to the v3.0b-3 milestone Jan 9, 2022
@kswang1029 kswang1029 added the question Further information is requested label May 25, 2022
@kswang1029
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assignee @veggiesaurus or @YuHsuan-Hwang TBD

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