fft_image_to_griddata_with_wcs
- fft_image_to_griddata_with_wcs(im)[source]
WCS-aware FFT of a canonical image
- The only transforms supported are:
RA–SIN, DEC–SIN <-> UU, VV XX, YY <-> KX, KY
For example:
from rascil.processing_components import create_test_image, fft_image_to_griddata_with_wcs im = create_test_image() print(im) Image: Shape: (1, 1, 256, 256) WCS: WCS Keywords Number of WCS axes: 4 CTYPE : 'RA---SIN' 'DEC--SIN' 'STOKES' 'FREQ' CRVAL : 0.0 35.0 1.0 100000000.0 CRPIX : 129.0 129.0 1.0 1.0 PC1_1 PC1_2 PC1_3 PC1_4 : 1.0 0.0 0.0 0.0 PC2_1 PC2_2 PC2_3 PC2_4 : 0.0 1.0 0.0 0.0 PC3_1 PC3_2 PC3_3 PC3_4 : 0.0 0.0 1.0 0.0 PC4_1 PC4_2 PC4_3 PC4_4 : 0.0 0.0 0.0 1.0 CDELT : -0.000277777791 0.000277777791 1.0 100000.0 NAXIS : 0 0 Polarisation frame: stokesI print(fft_image_to_griddata_with_wcs(im)) Image: Shape: (1, 1, 256, 256) WCS: WCS Keywords Number of WCS axes: 4 CTYPE : 'UU' 'VV' 'STOKES' 'FREQ' CRVAL : 0.0 0.0 1.0 100000000.0 CRPIX : 129.0 129.0 1.0 1.0 PC1_1 PC1_2 PC1_3 PC1_4 : 1.0 0.0 0.0 0.0 PC2_1 PC2_2 PC2_3 PC2_4 : 0.0 1.0 0.0 0.0 PC3_1 PC3_2 PC3_3 PC3_4 : 0.0 0.0 1.0 0.0 PC4_1 PC4_2 PC4_3 PC4_4 : 0.0 0.0 0.0 1.0 CDELT : -805.7218610503596 805.7218610503596 1.0 100000.0 NAXIS : 0 0 Polarisation frame: stokesI
- Parameters:
im –
- Returns:
- See also
ska_sdp_func_python.fourier_transforms.fft_support.fft()
ska_sdp_func_python.fourier_transforms.fft_support.ifft()