Yuhsuan/1318 fix fitting mad

[YuHsuan-Hwang]

Description

• What is implemented or fixed? Mention the linked issue(s), if any. Fixed #1318.
• How does this PR solve the issue? Give a brief summary. Exclude nans when calculating MAD (median absolute deviation). Instead of using the raw image data, create a tmp double array with image data excluding nans for the calculation.
• Other changes: Minor adjustment of the unit test - extend the area of FOV fitting to get a more precise result.
• Tested that: The fitting result and MAD does not change when additional nans are included. Fitting the entire test image does not get MAD 0 and does not fail. Also checked that the calculation time and the memory pattern do not change.

Checklist

• [x] changelog updated / ~no changelog update needed~
• [x] e2e test passing / corresponding fix added / ~new e2e test created~
• [x] ~protobuf updated to the latest dev commit~ / no protobuf update needed
• [x] added reviewers and assignee
• [x] added ZenHub estimate, milestone, and release

[kswang1029]

@YuHsuan-Hwang if the input image does not have any NaN pixels, do we expect to see slightly different fitting results in this PR comparing to dev?

I see the solution is to have a double array to exclude NaN. Would it be sensible to refer to BITPIX for the array declaration? Not sure this is the root cause for the above question?

[YuHsuan-Hwang]

@kswang1029

if the input image does not have any NaN pixels, do we expect to see slightly different fitting results in this PR comparing to dev?

Yes, there are slightly changes because my previous workaround triggers some preprocessing to the array.

I see the solution is to have a double array to exclude NaN. Would it be sensible to refer to BITPIX for the array declaration? Not sure this is the root cause for the above question?

Double array is required for the GSL function.

[YuHsuan-Hwang]

Debug log "MAD = ..." is added so that testing is easier.

[github-actions[bot]]

Package	Line Rate	Health
src.Cache	66%	➖
src.DataStream	52%	➖
src.FileList	67%	➖
src.Frame	50%	➖
src.HttpServer	42%	➖
src.ImageData	28%	❌
src.ImageFitter	83%	✔
src.ImageGenerators	43%	➖
src.ImageStats	76%	✔
src.Logger	38%	➖
src.Main	52%	➖
src.Region	18%	❌
src.Session	30%	❌
src.Table	52%	➖
src.ThreadingManager	87%	✔
src.Timer	85%	✔
src.Util	48%	➖
Summary	38% (7094 / 18739)	❌