Using X-ray fluorescence information in scikit-xray

Inline plot



In [2]:

    
%matplotlib inline

Import Element library



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from skxray.core.constants import XrfElement

Initiate Element object



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e = XrfElement('Cu')

Output a given emission line



In [5]:

    
e.emission_line['ka1']









    Out[5]:





8.0478

Output all the emission lines



In [6]:

    
e.emission_line.all









    Out[6]:





[('ka1', 8.0478),
 ('ka2', 8.0279),
 ('kb1', 8.9053),
 ('kb2', 0.0),
 ('la1', 0.9295),
 ('la2', 0.9295),
 ('lb1', 0.9494),
 ('lb2', 0.0),
 ('lb3', 1.0225),
 ('lb4', 1.0225),
 ('lb5', 0.0),
 ('lg1', 0.0),
 ('lg2', 0.0),
 ('lg3', 0.0),
 ('lg4', 0.0),
 ('ll', 0.8113),
 ('ln', 0.8312),
 ('ma1', 0.0),
 ('ma2', 0.0),
 ('mb', 0.0),
 ('mg', 0.0)]

Output all the fluorescence cross sections at given incident energy



In [7]:

    
e.cs(12).all









    Out[7]:





[('ka1', 30.030405278743867),
 ('ka2', 15.412719199476097),
 ('kb1', 4.027206006188117),
 ('kb2', 0.0),
 ('la1', 0.9194796566487551),
 ('la2', 0.10387051305203576),
 ('lb1', 0.30381941280541175),
 ('lb2', 0.0),
 ('lb3', 0.030617983946130203),
 ('lb4', 0.016638012494036403),
 ('lb5', 0.0),
 ('lg1', 0.0),
 ('lg2', 0.0),
 ('lg3', 0.0),
 ('lg4', 0.0),
 ('ll', 0.06365586522249897),
 ('ln', 0.01729831325409558),
 ('ma1', 0.0),
 ('ma2', 0.0),
 ('mb', 0.0),
 ('mg', 0.0)]

Import functions to plot emission lines, and spectrum



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%matplotlib notebook
from demo_xrf_spectrum import (get_line, get_spectrum)
import matplotlib.pyplot as plt

Plot spectrum for element Cu



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fig, ax = plt.subplots()
get_line(ax, 'Cu', 12)



In [10]:

    
fig, ax = plt.subplots()
get_spectrum(ax, 'Cu', 12)

Plot spectrum for element Gd



In [11]:

    
fig, ax = plt.subplots()
get_line(ax, 'Gd', 12)



In [12]:

    
fig, ax = plt.subplots()
get_spectrum(ax, 'Gd', 12)



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import skxray



In [14]:

    
skxray.__version__









    Out[14]:





'0.0.4+95.gb764d5c'



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