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import numpy as np | ||
from astropy.io import fits | ||
import tempfile | ||
import warnings | ||
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def make_casa_mask(SpecCube, outname, append_to_image=True, | ||
img=""): | ||
''' | ||
Takes a SpectralCube object as an input. Outputs the mask in a CASA | ||
friendly form. | ||
Parameters | ||
---------- | ||
SpecCube : SpectralCube | ||
SpectralCube object containing mask. | ||
outname : str | ||
Name of the outputted mask file. | ||
append_to_image : bool, optional | ||
Appends the mask to a given image. | ||
img : str, optional | ||
Image to be appended to. Must be specified if append_to_image is | ||
enabled. | ||
''' | ||
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try: | ||
from taskinit import ia | ||
from tasks import immath | ||
except ImportError: | ||
print("Run in CASA! Cannot import casac.") | ||
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# Get the header info from the image | ||
# There's not wcs_astropy2casa (yet), so create a temporary file for | ||
# CASA to open. | ||
temp = tempfile.NamedTemporaryFile() | ||
# CASA is closing this file at some point so set it to manual delete. | ||
temp2 = tempfile.NamedTemporaryFile(delete=False) | ||
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hdu = fits.PrimaryHDU(header=SpecCube.header, | ||
data=np.empty(SpecCube.shape)) | ||
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hdu.writeto(temp.name) | ||
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ia.fromfits(infile=temp.name, outfile=temp2.name, overwrite=True) | ||
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temp.close() | ||
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cs = ia.coordsys() | ||
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ia.close() | ||
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temp2.close() | ||
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mask_arr = SpecCube.mask.include() | ||
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# CASA doesn't like bool? Using floats for now... | ||
ia.newimagefromarray(outfile=outname, | ||
pixels=mask_arr.astype('float64')) | ||
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ia.open(outname) | ||
ia.setcoordsys(cs.torecord()) | ||
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ia.close() | ||
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if append_to_image: | ||
warnings.warn("Image appending not working yet.") | ||
# immath(imagename=img, mode='evalexpr', expr='IM0', | ||
# outfile=img+"_test", mask='mask('+outname+')') |