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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.loader import MIMOSA
from dfatool.utils import running_mean
voltage = float(sys.argv[1])
shunt = float(sys.argv[2])
mimfile = sys.argv[3]
mim = MIMOSA(voltage, shunt)
charges, triggers = mim.load_data(mimfile)
trigidx = mim.trigger_edges(triggers)
cal_edges = mim.calibration_edges(
running_mean(mim.currents_nocal(charges[0 : trigidx[0]]), 10)
)
# charges = charges[charges > 20000]
# charges = charges[charges < 21000]
def show_hist(data):
bins = np.max(data) - np.min(data)
if bins == 0:
bins = 1
if bins > 1000:
bins = bins / 10
# bins = 500
n, bins, patches = plt.hist(data, bins, normed=0, facecolor="green", alpha=0.75)
plt.grid(True)
plt.show()
print(np.histogram(data, bins=bins))
# show_hist(charges[cal_edges[0]:cal_edges[1]])
# show_hist(charges[cal_edges[4]:cal_edges[5]])
# show_hist(charges[cal_edges[2]:cal_edges[3]])
# show_hist(charges[trigidx[7]:trigidx[8]])
# show_hist(np.array(charges))
# print(charges[cal_edges[0]:cal_edges[1]])
# print(charges[cal_edges[4]:cal_edges[5]])
# print(charges[cal_edges[2]:cal_edges[3]])
plt.hist(
mim.charge_to_current_nocal(charges[cal_edges[2] : cal_edges[3]]) * 1e-3,
100,
normed=0,
facecolor="blue",
alpha=0.8,
)
plt.xlabel("mA MimosaCMD")
plt.ylabel("#")
plt.grid(True)
plt.show()
plt.hist(
mim.charge_to_current_nocal(charges[cal_edges[4] : cal_edges[5]]) * 1e-3,
100,
normed=0,
facecolor="blue",
alpha=0.8,
)
plt.xlabel("mA MimosaCMD")
plt.ylabel("#")
plt.grid(True)
plt.show()
plt.hist(
mim.charge_to_current_nocal(charges[cal_edges[0] : cal_edges[1]]) * 1e-3,
100,
normed=0,
facecolor="blue",
alpha=0.8,
)
plt.xlabel("mA MimosaCMD")
plt.ylabel("#")
plt.grid(True)
plt.show()
plt.hist(
charges[cal_edges[0] : cal_edges[1]], 100, normed=0, facecolor="blue", alpha=0.8
)
plt.xlabel("Rohwert MimosaCMD")
plt.ylabel("#")
plt.grid(True)
plt.show()
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