Normalization

import nexus as nx
import numpy as np
import matplotlib.pyplot as plt

data = np.loadtxt("Fe_alpha_spectrum.txt")

norm_data, factor = nx.data.Normalize(data,
                                      method = "baseline", # "value", "max", "min", "sum", "mean"
                                      # value = 0,         # for value method
                                      #left_point = 0,     # left data index
                                      #right_point = 0,    # right data index
                                      #poly_order = 0      # Polynominal order for fitting the baseline. Zero for flat baseline and 1 for tilted line correction.
                                      )

fig, (ax1, ax2) = plt.subplots(2, sharex=True)

ax1.plot(data)
ax2.plot(norm_data)

ax1.set(ylabel = "counts")
ax2.set(ylabel = "norm intensity")
ax2.set(xlabel = "channel")

plt.savefig("fig_normalize.png")

plt.show()