

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()

12 MeV



In [3]:

    
energy_to_reference_depth(12)









    Out[3]:





array([25])



In [4]:

    
# Standard insert 10app 12MeV 100MU
np.mean([1.054, 1.055])









    Out[4]:





1.0545



In [5]:

    
key = '6.7x12cm_12MeV_v1_col0'

data = initialise(
    key=key, data=data,
    reference=1.0545,
    energy=12
)

data = new_reading(
    key=key, data=data,
    ionisation=np.array([1.065, 1.065]),
    depth=25
)

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









    



Cutout factor = 1.010 | 1.0%
Inverse factor = 0.990 | -1.0%



In [6]:

    
key = '6.7x12cm_12MeV_v1_col90'

data = initialise(
    key=key, data=data,
    reference=1.0545,
    energy=12
)

data = new_reading(
    key=key, data=data,
    ionisation=np.array([1.065, 1.065]),
    depth=25
)

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









    



Cutout factor = 1.010 | 1.0%
Inverse factor = 0.990 | -1.0%



In [7]:

    
key = '6.7x12cm_12MeV_v2_col0'

data = initialise(
    key=key, data=data,
    reference=1.055,
    energy=12
)

data = new_reading(
    key=key, data=data,
    ionisation=np.array([1.054, 1.055]),
    depth=25
)

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









    



Cutout factor = 1.000 | -0.0%
Inverse factor = 1.000 | 0.0%



In [8]:

    
key = '6.7x12cm_12MeV_v2_col0'

data = initialise(
    key=key, data=data,
    reference=1.055,
    energy=12
)

data = new_reading(
    key=key, data=data,
    ionisation=np.array([1.054, 1.055]),
    depth=25
)

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









    



Cutout factor = 1.000 | -0.0%
Inverse factor = 1.000 | 0.0%



In [9]:

    
# Standard insert 10app 6MeV 100MU
np.mean([1.055, 1.055])









    Out[9]:





1.0549999999999999



In [ ]:



In [ ]:



In [ ]: