How to use the drizzlepac.astrodrizzle.adrizzle.log.setLevel function in drizzlepac

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github gbrammer / grizli / grizli / multifit.py View on Github external
pixel variances.
    
    ds9: `pyds9.DS9`
        Show intermediate steps of the drizzling
    
    Returns
    -------
    hdu : `~astropy.io.fits.HDUList`
        FITS HDUList with the drizzled 2D spectrum and weight arrays
        
    """
    from drizzlepac.astrodrizzle import adrizzle
    from astropy import log
    log.setLevel('ERROR')
    #log.disable_warnings_logging()
    adrizzle.log.setLevel('ERROR')
    
    NX = int(np.round(np.diff(wlimit)[0]*1.e4/dlam)) // 2
    center = np.mean(wlimit[:2])*1.e4
    out_header, output_wcs = utils.make_spectrum_wcsheader(center_wave=center,
                                 dlam=dlam, NX=NX, 
                                 spatial_scale=spatial_scale, NY=NY)
                                 
    sh = (out_header['NAXIS2'], out_header['NAXIS1'])
    
    outsci = np.zeros(sh, dtype=np.float32)
    outwht = np.zeros(sh, dtype=np.float32)
    outctx = np.zeros(sh, dtype=np.int32)
    
    outvar = np.zeros(sh, dtype=np.float32)
    outwv = np.zeros(sh, dtype=np.float32)
    outcv = np.zeros(sh, dtype=np.int32)

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 18 days ago

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