model

kgpy.ctis.inversion.mart.forward.model(cube, projection_azimuth, spectral_order, projection_shape=None, cube_spatial_offset=(0, 0), projection_spatial_offset=(0, 0), x_axis=-3, y_axis=-2, w_axis=-1, rotation_kwargs=None)

Model is a basic forward model of CT imaging spectrograph. :type cube: numpy.ndarray :param cube: ‘slabs’ which is a np.ndarray which have at least an x, y, and wavelength axis. :type projection_azimuth: astropy.units.quantity.Quantity :param projection_azimuth: scalar angle describing dispersion direction in the data array. :type spectral_order: int :param spectral_order: number of indices the array shifted per wavelength bin. :type projection_shape: typing.Optional[typing.Tuple[int, ...]] :param projection_shape: Desired shape of output array, as tuple of integers :type projection_spatial_offset: typing.Tuple[int, int] :param projection_spatial_offset: :type cube_spatial_offset: typing.Tuple[int, int] :param cube_spatial_offset: :type x_axis: int :param x_axis: axis of the data slabs representing x-axis :type y_axis: int :param y_axis: axis of the data slabs representing y-axis :type w_axis: int :param w_axis: axis of the data slabs representing wavelength axis :type rotation_kwargs: typing.Optional[typing.Dict] :param rotation_kwargs: kwargs for scipy.ndimage.rotate to be used during rotation portion of forward model :rtype: numpy.ndarray :return: list of arrays to which the forward model has been applied

Parameters:

• cube (ndarray) –

• projection_azimuth (Quantity) –

• spectral_order (int) –

• projection_shape (Tuple[int, ...] | None) –

• cube_spatial_offset (Tuple[int, int]) –

• projection_spatial_offset (Tuple[int, int]) –

• x_axis (int) –

• y_axis (int) –

• w_axis (int) –

• rotation_kwargs (Dict | None) –

Return type:

ndarray