Below is the resultant WCS from using nircam_test input images. Obviously, it ignores distortion but shouldn't matter for the purpose of QUIP. The mosaic was generated using MosaicAuto and saved out using SaveImage.
>>> from astropy.io import fits
>>> from astropy.wcs import WCS
>>> with fits.open('mosaic0_quip.fits') as pf:
... data = pf[0].data
... hdr = pf[0].header
>>> WCS(hdr)
WCS Keywords
Number of WCS axes: 2
CTYPE : 'RA---TAN' 'DEC--TAN'
CRVAL : 5.6305680000000002 0.42412888888889
CRPIX : 484.0 276.0
PC1_1 PC1_2 : 1.0 0.0
PC2_1 PC2_2 : -0.0 1.0
CDELT : 0.0001818624 0.0001818624
NAXIS : 758 550
Answer: Yes.
Below is the resultant WCS from using
nircam_testinput images. Obviously, it ignores distortion but shouldn't matter for the purpose of QUIP. The mosaic was generated usingMosaicAutoand saved out usingSaveImage.