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| """
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| Created on Tue Dec 13 14:54:18 2022
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| Equations and dgn values for tkinter
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| @author: DIDSR
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| """
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|
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| import numpy as np
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| import pandas as pd
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|
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| import os
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| Sarno_mono_dgn = pd.read_csv(
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| os.path.join(os.getcwd(), "dose_table", "Sarno_mono_dgn.txt"), sep=" "
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| )
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| Sarno_poly_dgn = pd.read_csv(
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| os.path.join(os.getcwd(), "dose_table", "Sarno_poly_dgn.txt"),
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| sep=" ",
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| index_col="HVL",
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| )
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| sarno_dgnct = (
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| lambda a, b, c, d, e, f, g, h, E: (a * 10**-14) * E**8
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| + (b * 10**-12) * E**7
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| + (c * 10**-10) * E**6
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| + (d * 10**-8) * E**5
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| + (e * 10**-6) * E**4
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| + (f * 10**-4) * E**3
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| + (g * 10**-3) * E**2
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| + (h * 10**-2) * E
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| )
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| aa = -5.023290717769674e-6
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| bb = 1.810595449064631e-7
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| cc = 0.008838658459816926
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| exposure_per_fluence = (
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| lambda E: (aa + bb * np.log(E) * np.log(E) + cc / E**2) ** (-1) / 1000 * 0.1145
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| )
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| Hernandez_hetero_mono_dgn = pd.read_csv(
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| os.path.join(os.getcwd(), "dose_table", "Hernandez_heterogeneous_dgn.txt"),
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| sep=",",
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| header=0,
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| )
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| Sechopoulos_poly_dgn = pd.read_csv(
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| os.path.join(os.getcwd(), "dose_table", "Sechopoulos_dgn.txt"),
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| sep=" ",
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| header=None,
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| index_col=0,
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| )
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| Sechopoulos_poly_dgn.columns = [
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| "Chest wall-to-nipple distance",
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| "1%",
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| "14.3%",
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| "25%",
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| "50%",
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| "75%",
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| "100%",
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| ]
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