Image Merging

Once spacecraft data has been projected into a unified frame and further image processing has been completed, these data can be merged into one virtual observation.

Concept

With each observation in an identical frame, image merging can be completed by a weighted average based on the input data uncertainty. Where overlap exists between instruments, a weighted average favors data with lower uncertainty.

Applying correction

Image merging is carried out in the punchbowl.level2.merge.merge_many_polarized_task function for polarized data input and the punchbowl.level2.merge.merge_many_clear_task function for clear (unpolarized) data input:

punchbowl.level2.merge.merge_many_polarized_task(data: list[NDCube | None], trefoil_wcs: WCS) → NDCube

Merge many task and carefully combine uncertainties.

punchbowl.level2.merge.merge_many_clear_task(data: list[NDCube | None], trefoil_wcs: WCS, level: str = '2') → NDCube

Merge many task and carefully combine uncertainties.

If you wish to incorporate this as a Prefect task in a custom pipeline, using something like the punchbowl.level2.merge.merge_many_polarized_task or punchbowl.level2.merge.merge_many_clear_task is recommended.