I tried to use EELSFitter (https://lhcfitnikhef.github.io/EELSfitter/build/html/index.html) package for EEL spectra processing.
I am interested in the Kramers-Kronig analysis (https://lhcfitnikhef.github.io/EELSfitter/build/html/modules/EELSFitter.core.html#module-EELSFitter.core.spectral_image)
My code looks like this (I tried it on a Lorentzian curve)
import numpy as np
import matplotlib.pyplot as plt
import EELSFitter as ef
import EELSFitter.core
from EELSFitter.core.spectral_image import SpectralImage
def Lorentz(x, a, x0,b):
return a/((x-x0)**2+b**2)
x = np.linspace(1,10,100)
mydata = Lorentz(x,1,5,1)
KramersKronig = SpectralImage.kramers_kronig_analysis(mydata, n_zlp=None, iterations=1, n=None, t=None, delta=0.5)
I got error "SpectralImage.kramers_kronig_analysis() missing 1 required positional argument: 'signal_ssd'".
When I put some other positional argument it looks like it wants arguments from the class (https://lhcfitnikhef.github.io/EELSfitter/build/html/modules/EELSFitter.core.html#module-EELSFitter.core.spectral_image), e.g. the beam_energy, which is one of the class arguments "class EELSFitter.core.spectral_image.SpectralImage(data, deltaE=None, pixel_size=None, beam_energy=None, collection_angle=None, convergence_angle=None, name=None, **kwargs)". The error is "AttributeError: 'numpy.ndarray' object has no attribute 'beam_energy'".
Can you help me, where should I specify the arguments for the class, so I can run the kramers_kronig_analysis()? It may be general question of how to specify class arguments for use in imported functions.
