1.4.0 skymatch

[stscijgbot-jp]

Issue JP-2489 was created on JIRA by JWST PARSER:

skymatch

1.4.0

• Improved reliability when matching sky in images with very close sky footprints. [#⁠6421]
• Updated code in skymatch.region.py with latest improvements and bug fixes from stsci.skypac.regions.py. [#⁠6451]
• Updated documentation to clarify details of flat-fielding versus distortion corrections [#⁠6546]

1.4.2

• Changed default value of skymethod step parameter to 'match' [#⁠6580]

[hbushouse]

Closing, because it's work that only needs to be tracked in JIRA.

[stscijgbot-jp]

Comment by Misty Cracraft on JIRA:

The MIRI notebook for calwebb_image3 shows that the current default value of the skymethod is set to match:

2022-03-23 13:23:14,487 - stpipe.Image3Pipeline.skymatch - INFO - Sky computation method: 'match' 2022-03-23 13:23:14,487 - stpipe.Image3Pipeline.skymatch - INFO - Sky matching direction: DOWN 2022-03-23 13:23:14,487 - stpipe.Image3Pipeline.skymatch - INFO - Sky subtraction from image data: OFF

Full notebook: https://jwst-validation-notebooks.stsci.edu/jwst_validation_notebooks/calwebb_image3/jwst_image3_miri_test/jwst_image3_miri_test.html

The skymatch notebook using noise images shows that each of the methods behave as expected. https://jwst-validation-notebooks.stsci.edu/jwst_validation_notebooks/skymatch/jwst_skymatch_miri_test/jwst_skymatch_miri_test.html

 

And the photometry/skymatch test notebook shows that, except for the global method (which should not be used with this dataset), the photometry for all other methods gives close agreement, so the step works well for most methods. (The global method should only be used on data that has previously been background subtracted.) https://jwst-validation-notebooks.stsci.edu/jwst_validation_notebooks/skymatch/jwst_skymatch_miri_test/jwst_skymatch_photom_miri_test.html

 

MIRI confirms this step is working as expected.

[stscijgbot-jp]

Comment by Jo Taylor on JIRA:

For NIRISS: Confirmed default skymatch method is now 'match'. Did not test goodness of skymatch itself.

[stscijgbot-jp]

Comment by Alicia Canipe on JIRA:

The step runs successfully for NIRCam and computes differences in sky values in overlapping regions. We currently have the subtraction off. No issues to report. https://jwst-validation-notebooks.stsci.edu/jwst_validation_notebooks/calwebb_image3/jwst_image3_nircam_test/jwst_image3_nircam_test.html