def save_image(imager, grid_data, grid_norm, output_file):
    """Makes an image from gridded visibilities and saves it to a FITS file.

    Args:
        imager (oskar.Imager):          Handle to configured imager.
        grid_data (numpy.ndarray):      Final visibility grid.
        grid_norm (float):              Grid normalisation to apply.
        output_file (str):              Name of output FITS file to write.
    """
    # Make the image (take the FFT, normalise, and apply grid correction).
    imager.finalise_plane(grid_data, grid_norm)
    grid_data = numpy.real(grid_data)

    # Trim the image if required.
    border = (imager.plane_size - imager.image_size) // 2
    if border > 0:
        end = border + imager.image_size
        grid_data = grid_data[border:end, border:end]

    # Write the FITS file.
    hdr = fits.header.Header()
    fits.writeto(output_file, grid_data, hdr, clobber=True)
def save_image ( imager , grid_data , grid_norm , output_file ) : imager . finalise_plane ( grid_data , grid_norm ) grid_data = numpy . real ( grid_data ) border = ( imager . plane_size - imager . image_size ) // 2 if border > 0 : end = border + imager . image_size grid_data = grid_data [ border : end , border : end ] hdr = fits . header . Header ( ) fits . writeto ( output_file , grid_data , hdr , clobber = True )
Makes an image from gridded visibilities and saves it to a FITS file.

    Args:
        imager (oskar.Imager):          Handle to configured imager.
        grid_data (numpy.ndarray):      Final visibility grid.
        grid_norm (float):              Grid normalisation to apply.
        output_file (str):              Name of output FITS file to write.