How to use the drizzlepac.updatehdr.updatewcs_with_shift function in drizzlepac

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github gbrammer / grizli / grizli / prep.py View on Github external
def apply_tweak_shifts(wcs_ref, shift_dict, grism_matches={}, verbose=True):
    """
    
    """
    from drizzlepac import updatehdr

    hdu = wcs_ref.to_fits(relax=True)
    file0 = list(shift_dict.keys())[0].split('.fits')[0]
    tweak_file = '{0}_tweak_wcs.fits'.format(file0)
    hdu.writeto(tweak_file, clobber=True)
    for file in shift_dict:
        updatehdr.updatewcs_with_shift(file, tweak_file,
                                        xsh=shift_dict[file][0],
                                        ysh=shift_dict[file][1],
                                        rot=0., scale=1.,
                                        wcsname='SHIFT', force=True,
                                        reusename=True, verbose=verbose,
                                        sciext='SCI')
        
        ### Bug in astrodrizzle? Dies if the FLT files don't have MJD-OBS
        ### keywords
        im = pyfits.open(file, mode='update')
        im[0].header['MJD-OBS'] = im[0].header['EXPSTART']
        im.flush()
        
        # Update paired grism exposures
        if file in grism_matches:
            for grism_file in grism_matches[file]:
github gbrammer / grizli / grizli / prep.py View on Github external
for drz_file in drz_files[1:]:
        root = drz_file.split('_drz')[0]
        result = align_drizzled_image(root=root, mag_limits=mag_limits,
                                      radec=rd_ref,
                                      NITER=5, clip=20)

        orig_wcs, drz_wcs, out_shift, out_rot, out_scale = result
        
        im = pyfits.open(drz_file)
        files = []
        for i in range(im[0].header['NDRIZIM']):
          files.append(im[0].header['D{0:03d}DATA'.format(i+1)].split('[')[0])
        
        
        for file in files:
            updatehdr.updatewcs_with_shift(file, drz_files[0],
                                      xsh=out_shift[0], ysh=out_shift[1],
                                      rot=out_rot, scale=out_scale,
                                      wcsname=ref_catalog, force=True,
                                      reusename=True, verbose=True,
                                      sciext='SCI')

            im = pyfits.open(file, mode='update')
            im[0].header['MJD-OBS'] = im[0].header['EXPSTART']
            im.flush()

        ### Second drizzle
        if len(files) > 1:
            AstroDrizzle(files, output=root, clean=True, context=False, preserve=False, skysub=True, driz_separate=False, driz_sep_wcs=False, median=False, blot=False, driz_cr=False, driz_cr_corr=False, driz_combine=True, final_bits=576, coeffs=True, resetbits=0, build=False, final_wht_type='IVM')        
        else:
            AstroDrizzle(files, output=root, clean=True, final_scale=None, final_pixfrac=1, context=False, final_bits=576, preserve=False, driz_separate=False, driz_sep_wcs=False, median=False, blot=False, driz_cr=False, driz_cr_corr=False, driz_combine=True, build=False, final_wht_type='IVM')
github gbrammer / grizli / grizli / prep.py View on Github external
im[0].header['MJD-OBS'] = im[0].header['EXPSTART']
            im.flush()
        
        return True
        
    #### Get from WCS log file
    for ext in wcs_log['ext']:
        tmp_wcs = '/tmp/{0}_tmpwcs.fits'.format(str(direct['product']))
        wcs_hdu[ext].writeto(tmp_wcs, clobber=True)
        if 'scale' in wcs_log.colnames:
            scale = wcs_log['scale'][ext]
        else:
            scale = 1.
            
        for file in grism['files']:
            updatehdr.updatewcs_with_shift(file, tmp_wcs,
                                      xsh=wcs_log['xshift'][ext],
                                      ysh=wcs_log['yshift'][ext],
                                      rot=wcs_log['rot'][ext], scale=scale,
                                      wcsname=ref_catalog, force=True,
                                      reusename=True, verbose=True,
                                      sciext='SCI')
            
            ### Bug in astrodrizzle? Dies if the FLT files don't have MJD-OBS
            ### keywords
            im = pyfits.open(file, mode='update')
            im[0].header['MJD-OBS'] = im[0].header['EXPSTART']
            im.flush()
            
    ### Bug in astrodrizzle? Dies if the FLT files don't have MJD-OBS
    ### keywords
    for file in grism['files']:

drizzlepac

HST image combination using the drizzle algorithm to combine astronomical images, to model image distortion, to remove cosmic rays, and generally to improve the fidelity of data in the final image.

BSD-3-Clause
Latest version published 2 months ago

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