

In [1]:

    
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline

from electronfactors import (
    new_reading, calc_and_display, energy_to_reference_depth, 
    initialise)



In [2]:

    
data = dict()

6 MeV



In [3]:

    
energy_to_reference_depth(6)









    Out[3]:





array([13])



In [4]:

    
# Standard insert 10app 6MeV
np.mean([1.005, 1.006, 1.006])









    Out[4]:





1.0056666666666667



In [5]:

    
key = '8.3cm_6MeV'

data = initialise(
    key=key, data=data,
    reference=1.0057,
    energy=6    
)

data = new_reading(
    key=key, data=data,
    ionisation=[1.007, 1.008, 1.007],
    depth=13
)

data[key]['factor'] = calc_and_display(**data[key])









    



Cutout factor = 1.002 | 0.2%
Inverse factor = 0.998 | -0.2%



In [6]:

    
key = '6.1cm_6MeV'

data = initialise(
    key=key, data=data,
    reference=1.005,
    energy=6
)

data = new_reading(
    key=key, data=data,
    ionisation=[0.9954, 0.9962],
    depth=13
)

data[key]['factor'] = calc_and_display(**data[key])









    



Cutout factor = 0.991 | -0.9%
Inverse factor = 1.009 | 0.9%



In [7]:

    
# Standard insert 10app 6MeV
np.mean([1.004,1.006, 1.006, 1.005])









    Out[7]:





1.00525



In [ ]: