Note
Go to the end to download the full example code.
EELS curve fitting#
Performs curve fitting to an EELS spectrum, plots the result and saves it as png file.
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import hyperspy.api as hs
s = hs.load("coreloss_spectrum.msa", signal_type="EELS")
low_loss = hs.load("lowloss_spectrum.msa", signal_type="EELS")
s.add_elements(("Mn", "O"))
s.set_microscope_parameters(
beam_energy=300, convergence_angle=24.6, collection_angle=13.6
)
m = s.create_model(low_loss=low_loss)
m.enable_fine_structure()
m.multifit(kind="smart")
m.plot()
# one can also use the Dirac GOS by specifying the GOS parameter
m = s.create_model(low_loss=low_loss, GOS="dirac")
m.enable_fine_structure()
m.multifit(kind="smart")
m.plot()
Total running time of the script: (1 minutes 0.055 seconds)