spatial_average

threadcount.fit.spatial_average(cube, kernel_image, **kwargs)

Apply kernel image smoothing on every spatial image in a cube.

This function will correctly apply a smoothing image kernel_image to the data and variance arrays in cube. The normalization is properly propegated to the variance array.

Parameters:

• cube (mpdaf.obj.Cube) – The data you want smoothed

• kernel_image (2d numpy array) – The smoothing image to apply

• **kwargs (dict) – key word arguments passed to mpdaf_ext.correlate2d_norm()

Returns:

Spatially smoothed cube.

Return type:

mpdaf.obj.Cube