musecube_old.py 文件源码

def load_data(self):
        hdulist = fits.open(self.filename)
        print("MuseCube: Loading the cube fluxes and variances...")

        # import pdb; pdb.set_trace()
        self.cube = ma.MaskedArray(hdulist[1].data)
        self.stat = ma.MaskedArray(hdulist[2].data)

        print("MuseCube: Defining master masks (this may take a while but it is for the greater good).")
        # masking
        self.mask_init = np.isnan(self.cube) | np.isnan(self.stat)
        self.cube.mask = self.mask_init
        self.stat.mask = self.mask_init

        # for ivar weighting ; consider creating it in init ; takes long
        # self.flux_over_ivar = self.cube / self.stat

        self.header_1 = hdulist[1].header  # Necesito el header para crear una buena copia del white.
        self.header_0 = hdulist[0].header

        if self.filename_white is None:
            print("MuseCube: No white image given, creating one.")

            w_data = copy.deepcopy(self.create_white(save=False).data)

            w_header_0 = copy.deepcopy(self.header_0)
            w_header_1 = copy.deepcopy(self.header_1)

            # These loops remove the third dimension from the header's keywords. This is neccesary in order to
            # create the white image and preserve the cube astrometry
            for i in w_header_0.keys():
                if '3' in i:
                    del w_header_0[i]
            for i in w_header_1.keys():
                if '3' in i:
                    del w_header_1[i]

            # prepare the header
            hdu = fits.HDUList()
            hdu_0 = fits.PrimaryHDU(header=w_header_0)
            hdu_1 = fits.ImageHDU(data=w_data, header=w_header_1)
            hdu.append(hdu_0)
            hdu.append(hdu_1)
            hdu.writeto('new_white.fits', clobber=True)
            self.filename_white = 'new_white.fits'
            print("MuseCube: `new_white.fits` image saved to disk.")