autolens/data/array/util/mask_util.py
def mask_circular_annular_from_shape_pixel_scale_and_radii(shape, pixel_scale, inner_radius_arcsec, outer_radius_arcsec,
                                                           centre=(0.0, 0.0)):
    """Compute an annular masks from an input inner and outer masks radius and regular shape."""

    mask = np.full(shape, True)

    centres_arcsec = mask_centres_from_shape_pixel_scale_and_centre(shape=mask.shape, pixel_scale=pixel_scale, centre=centre)

    for y in range(mask.shape[0]):
        for x in range(mask.shape[1]):

            y_arcsec = (y - centres_arcsec[0]) * pixel_scale
            x_arcsec = (x - centres_arcsec[1]) * pixel_scale

            r_arcsec = np.sqrt(x_arcsec ** 2 + y_arcsec ** 2)

            if outer_radius_arcsec >= r_arcsec >= inner_radius_arcsec:
                mask[y, x] = False

    return mask
def mask_circular_annular_from_shape_pixel_scale_and_radii(shape, pixel_scale, inner_radius_arcsec, outer_radius_arcsec,
                                                           centre=(0.0, 0.0)):
    """Compute an annular masks from an input inner and outer masks radius and regular shape."""

    mask = np.full(shape, True)

    centres_arcsec = mask_centres_from_shape_pixel_scale_and_centre(shape=mask.shape, pixel_scale=pixel_scale, centre=centre)

    for y in range(mask.shape[0]):
        for x in range(mask.shape[1]):

            y_arcsec = (y - centres_arcsec[0]) * pixel_scale
            x_arcsec = (x - centres_arcsec[1]) * pixel_scale

            r_arcsec = np.sqrt(x_arcsec ** 2 + y_arcsec ** 2)

            if outer_radius_arcsec >= r_arcsec >= inner_radius_arcsec:
                mask[y, x] = False

    return mask
def mask_circular_annular_from_shape_pixel_scale_and_radii ( shape , pixel_scale , inner_radius_arcsec , outer_radius_arcsec , centre = ( 0.0 , 0.0 ) ) : mask = np . full ( shape , True ) centres_arcsec = mask_centres_from_shape_pixel_scale_and_centre ( shape = mask . shape , pixel_scale = pixel_scale , centre = centre ) for y in range ( mask . shape [ 0 ] ) : for x in range ( mask . shape [ 1 ] ) : y_arcsec = ( y - centres_arcsec [ 0 ] ) * pixel_scale x_arcsec = ( x - centres_arcsec [ 1 ] ) * pixel_scale r_arcsec = np . sqrt ( x_arcsec ** 2 + y_arcsec ** 2 ) if outer_radius_arcsec >= r_arcsec >= inner_radius_arcsec : mask [ y , x ] = False return mask
Compute an annular masks from an input inner and outer masks radius and regular shape.
Compute an annular masks from an input inner and outer masks radius and regular shape .