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import pyfits
from pytools import fileutil
class DET2IMCorr(object):
def updateWCS(cls, fobj):
"""
:Parameters:
`fobj`: pyfits object
Science file, for which a detector to image correction
is available
"""
assert isinstance(fobj, pyfits.NP_pyfits.HDUList)
d2imfile = fobj[0].header['D2IMFILE']
axiscorr = cls.getAxisCorr(d2imfile)
d2imerr = pyfits.getdata(d2imfile, ext=1).max()
if axiscorr == None:
new_kw = {}
else:
new_kw = {'D2IMEXT': d2imfile, 'AXISCORR': axiscorr, 'D2IMERR': d2imerr}
cls.applyDet2ImCorr(fobj, axiscorr)
cls.updatehdr(fobj, new_kw)
updateWCS = classmethod(updateWCS)
def getAxisCorr(cls, refname):
try:
direction = pyfits.getval(refname, ext=1, key='EXTNAME')
if direction == 'DX': return 1
elif direction == 'DY': return 2
else:
print '\tDET2IM correction expects the reference file to have'
print '\tan EXTNAME keyword of value "DX" or "DY"'
return None
except AttributeError:
print "\tAxis to which to apply the detector to image "
print "\tcorrection cannot be determined because the reference "
print "\tfile %s is missing a keyword EXTNAME" % refname
direction = None
return direction
getAxisCorr = classmethod(getAxisCorr)
def applyDet2ImCorr(cls,fobj, axiscorr):
d2imfile = fileutil.osfn(fobj[0].header['D2IMFILE'])
hdu = cls.createDgeoHDU(d2imfile, axiscorr)
d2imarr_ind = cls.getD2imIndex(fobj)
if d2imarr_ind:
fobj[d2imarr_ind] = hdu
else:
fobj.append(hdu)
applyDet2ImCorr = classmethod(applyDet2ImCorr)
def getD2imIndex(cls,fobj):
index = None
for e in range(len(fobj)):
try:
ename = fobj[e].header['EXTNAME']
except KeyError:
continue
if ename == 'D2IMARR':
index = e
return index
getD2imIndex = classmethod(getD2imIndex)
def createDgeoHDU(cls, d2imfile, axiscorr):
d2im_data = pyfits.getdata(d2imfile, ext=1)
d2im_hdr = cls.createDet2ImHdr(d2im_data.shape, axiscorr)
hdu = pyfits.ImageHDU(header=d2im_hdr, data=d2im_data)
return hdu
createDgeoHDU = classmethod(createDgeoHDU)
def createDet2ImHdr(cls, data_shape, axiscorr):
"""
Creates a header for the D2IMARR extension based on the
reference file recorded in D2IMFILE keyword in the primary header.
"""
naxis1 = data_shape[0]
naxis2 = 0
crpix1 = 0.0
crpix2 = 0.0
cdelt1 = 1.0
cdelt2 = 1.0
crval1 = 0.0
crval2 = 0.0
keys = ['XTENSION','BITPIX','NAXIS','NAXIS1','NAXIS2',
'EXTNAME','EXTVER','PCOUNT','GCOUNT','CRPIX1',
'CDELT1','CRVAL1','CRPIX2','CDELT2','CRVAL2', 'AXISCORR']
comments = {'XTENSION': 'Image extension',
'BITPIX': 'IEEE floating point',
'NAXIS': 'Number of axes',
'NAXIS1': 'Number of image columns',
'NAXIS2': 'Number of image rows',
'EXTNAME': 'WCS distortion array',
'EXTVER': 'Distortion array version number',
'PCOUNT': 'Special data area of size 0',
'GCOUNT': 'One data group',
'CRPIX1': 'Distortion array reference pixel',
'CDELT1': 'Grid step size in first coordinate',
'CRVAL1': 'Image array pixel coordinate',
'CRPIX2': 'Distortion array reference pixel',
'CDELT2': 'Grid step size in second coordinate',
'CRVAL2': 'Image array pixel coordinate',
'AXISCORR': 'Direction in which the det2im correction is applied'}
values = {'XTENSION': 'IMAGE',
'BITPIX': -32,
'NAXIS': 1,
'NAXIS1': naxis1,
'NAXIS2': naxis2,
'EXTNAME': 'D2IMARR',
'EXTVER': 1,
'PCOUNT': 0,
'GCOUNT': 1,
'CRPIX1': crpix1,
'CDELT1': cdelt1,
'CRVAL1': crval1,
'CRPIX2': crpix2,
'CDELT2': cdelt2,
'CRVAL2': crval2,
'AXISCORR': axiscorr
}
cdl = pyfits.CardList()
for c in keys:
cdl.append(pyfits.Card(key=c, value=values[c], comment=comments[c]))
hdr = pyfits.Header(cards=cdl)
return hdr
createDet2ImHdr = classmethod(createDet2ImHdr)
def updatehdr(cls, fobj, kwdict):
"""
Update extension headers to keep record of the files used for the
detector to image correction.
"""
for ext in fobj:
try:
extname = ext.header['EXTNAME'].lower()
except KeyError:
continue
if extname == 'sci':
for kw in kwdict:
ext.header.update(kw, kwdict[kw])
else:
continue
updatehdr = classmethod(updatehdr)
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