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-rwxr-xr-xbin/gradient32
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diff --git a/bin/gradient b/bin/gradient
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+#!/usr/bin/env python3
+
+import csv
+import numpy as np
+import os
+import struct
+import sys
+import tarfile
+import matplotlib.pyplot as plt
+from dfatool import running_mean, MIMOSA
+
+voltage = float(sys.argv[1])
+shunt = float(sys.argv[2])
+mimfile = sys.argv[3]
+
+mim = MIMOSA(voltage, shunt)
+
+charges, triggers = mim.load_data(mimfile)
+charges = charges[2000000:3000000]
+
+currents = running_mean(mim.charge_to_current_nocal(charges), 10) * 1e-6
+xr = np.arange(len(currents)) * 1e-5
+threshold = 3e-5
+grad = np.gradient(currents, 2)
+tp = np.abs(grad) > threshold
+plt.plot( xr, currents, "r-")
+plt.plot( xr, grad, "y-")
+plt.plot( xr[tp], grad[tp], "bo")
+plt.xlabel('Zeit [s]')
+plt.ylabel('Strom [A]')
+plt.grid(True)
+plt.show()