[X] Yes, I checked the FAQ and my question has not been addressed.
Instrument
Other (any stage)
What happened?
In S3, there is once again a bug that frequently causes entire wavelengths to become masked, most likely because of an improperly handled/masked NaN somewhere. I first see it pop up in the fig3302_file00_int0000_Spectrum.png files, so it doesn't appear to be a bug with the lightcurve normalization code. My fig3303_file00_int0000_Profile.png files do have some dark pixels which are likely NaNs or masked pixels, but I can't immediately tell if they're coincident with the masked spectroscopic lightcurves.
Error traceback output
No response
What operating system are you using?
No response
What version of Python are you running?
No response
What Python packages do you have installed?
No response
Code of Conduct
[X] I agree to follow this project's Code of Conduct
FAQ check
Instrument
Other (any stage)
What happened?
In S3, there is once again a bug that frequently causes entire wavelengths to become masked, most likely because of an improperly handled/masked NaN somewhere. I first see it pop up in the fig3302_file00_int0000_Spectrum.png files, so it doesn't appear to be a bug with the lightcurve normalization code. My fig3303_file00_int0000_Profile.png files do have some dark pixels which are likely NaNs or masked pixels, but I can't immediately tell if they're coincident with the masked spectroscopic lightcurves.
Error traceback output
No response
What operating system are you using?
No response
What version of Python are you running?
No response
What Python packages do you have installed?
No response
Code of Conduct