@classmethod<EOL><INDENT>def circular(cls, shape, pixel_scale, radius_arcsec, centre=(<NUM_LIT:0.>, <NUM_LIT:0.>), invert=False):<DEDENT>
mask = mask_util.mask_circular_from_shape_pixel_scale_and_radius(shape, pixel_scale, radius_arcsec,<EOL>centre)<EOL>if invert: mask = np.invert(mask)<EOL>return cls(array=mask.astype('<STR_LIT:bool>'), pixel_scale=pixel_scale)<EOL>
Setup a mask where unmasked pixels are within a circle of an input arc second radius and centre.

        Parameters
        ----------
        shape: (int, int)
            The (y,x) shape of the mask in units of pixels.
        pixel_scale: float
            The arc-second to pixel conversion factor of each pixel.
        radius_arcsec : float
            The radius (in arc seconds) of the circle within which pixels unmasked.
        centre: (float, float)
            The centre of the circle used to mask pixels.