sigma_clip

pyxem.utils.diffraction.sigma_clip(z, azimuthal_integrator, npt_rad, npt_azim, mask=None, **kwargs)

Perform the 2D integration and perform a sigm-clipping iterative

filter along each row. see the doc of scipy.stats.sigmaclip for the options.

Parameters:

• z (numpy.ndarray) – Two-dimensional data array containing the signal.

• azimuthal_integrator (pyFAI.azimuthal_integrator.AzimuthalIntegrator object) – An AzimuthalIntegrator that is already initialised and used to calculate the integral.

• npt_rad (int) – The number of points in the output pattern

• npt_azim (int) – The number of points in the radial space. Too few points may lead to huge rounding errors.

• mask (Boolean Array) – A boolean array with pixels to ignore

• sum (bool) – Returns the integrated intensity rather than the mean.

• **kwargs – Keyword arguments to be passed to ai.integrate2d

Returns:

• tth (numpy.ndarray) – One-dimensional scattering vector axis of z.

• I (numpy.ndarray) – One-dimensional azimuthal integral of z.