hyperspy.tests.signal.test_kramers_kronig_transform module

class hyperspy.tests.signal.test_kramers_kronig_transform.Test2D

Bases: object

setup_method(method)

To test the kramers_kronig_analysis we will generate 3 EELSSpectrum instances. First a model energy loss function(ELF), in our case following the Drude bulk plasmon peak. Second, we simulate the inelastic scattering to generate a model scattering distribution (SPC). Finally, we use a lorentzian peak with integral equal to 1 to simulate a ZLP.

test_bethe_sum_rule()

test_df_given_n()

The kramers kronig analysis method applied to the signal we have just designed above will return the CDF for the Drude bulk plasmon. Hopefully, we recover the signal by inverting the CDF.

test_df_given_thickness()

The kramers kronig analysis method applied to the signal we have just designed above will return the CDF for the Drude bulk plasmon. Hopefully, we recover the signal by inverting the CDF.

test_thickness_estimation()

Kramers kronig analysis gives a rough estimation of sample thickness. As we have predefined sample thickness for our scattering distribution, we can use it for testing putposes.

test_thicness_input_array()