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1eb0157ddb
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2fccdf4e50 |
2 changed files with 101 additions and 70 deletions
61
bananas.py
61
bananas.py
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@ -2,16 +2,7 @@
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from seth_classes import *
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import argparse
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from cycler import cycler
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import numpy as np
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import pandas as pd
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import matplotlib.pyplot as plt
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# get colormap
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cmap=plt.cm.gist_rainbow
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# build cycler with 5 equally spaced colors from that colormap
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c = cycler('color', cmap(np.linspace(0,1,24)) )
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# supply cycler to the rcParam
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plt.rcParams["axes.prop_cycle"] = c
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parser = argparse.ArgumentParser(prog='bananas.py')
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parser.add_argument('filepath')
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@ -21,35 +12,27 @@ args = parser.parse_args()
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fp = args.filepath
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v = args.verbose
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channel_names = {0:'A2', 1:'A1', 2:'A0', 3:'B2', 4:'B1', 5:'B0', 6:'C2', 7:'C1',
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8:'C0', 9:'D2', 10:'D1', 11:'D0', 12:'E1', 13:'E2', 14:'F2', 15:'E0',
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16:'F0', 17:'F1', 18:'G1', 19:'G2', 20:'H2', 21:'G0', 22:'H0', 23:'H1'
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} # connects shaper (key) to ADC (value)
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def make_hist(dataframe):
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mask_slice0 = dataframe['sl'] == '0'
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mask_slice1 = dataframe['sl'] == '1'
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cut_high = dataframe['pha'] <= 60000
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cut_low = dataframe['pha'] >= -100
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dataframe = dataframe[cut_high]
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dataframe = dataframe[cut_low]
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for ch in range(24):
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hist = {}
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print(f"Working on channel {ch}")
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for index, row in dataframe.iterrows():
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if row['channel'] == ch:
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if row['pha'] not in hist.keys():
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hist.setdefault(row['pha'], 1)
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else:
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hist[row['pha']] += 1
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plt.plot(hist.keys(), hist.values(), 'x', label=f'{ch}')
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plt.yscale("log"); plt.ylabel("Occurence"); plt.xlabel("Energy in arb. units.")
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plt.grid(); plt.legend()
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plt.title(f"{fp}")
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plt.show()
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test = ReadSeth(fp, v)
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upper = {}
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lower = {}
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for event in test:
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print(event)
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if (not event.upper_td) or (not event.lower_td):
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pass
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else:
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if event.upper_td[0] in upper:
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upper[event.upper_td[0]] += 1
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if event.lower_td[0] in lower:
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lower[event.lower_td[0]] += 1
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else:
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lower.setdefault(event.lower_td[0], 1)
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else:
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upper.setdefault(event.upper_td[0], 1)
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if event.lower_td[0] in lower:
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lower[event.lower_td[0]] += 1
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else:
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lower.setdefault(event.lower_td[0], 1)
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plt.bar(upper.keys(), upper.values())
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plt.xlabel('Detector')
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plt.ylabel('Counts')
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plt.show()
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110
seth_classes.py
110
seth_classes.py
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@ -4,21 +4,6 @@ import numpy as np
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import pandas as pd
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class Banana:
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def read_from_file(self, filepath):
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d={'clock':[], 'sl':[], 'channel':[], 'dtime':[], 'lost':[], 'a':[], 'b':[], 'phase':[], 'banana':[], 'pha':[]} # slice (sl) is called det in ahepamfile.c
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keys = list(d.keys())
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with open(filepath) as file:
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for line in file:
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ll = line.split()
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if ll[0] == 'EDB' and 'nan' not in ll and '-nan' not in ll and 'inf' not in ll and '-inf' not in ll:
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contents = [float(num) for num in line.split()[1:]]
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for i in range(10):
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d[keys[i]].append(contents[i])
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return pd.DataFrame(d)
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class ReadSeth:
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def __init__(self, filename, verbose = False):
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self.verbose = verbose
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@ -33,35 +18,98 @@ class ReadSeth:
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def __next__(self):
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while not self.complete:
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self.read_more()
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if not self.read_more():
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raise StopIteration
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if self.read_more() == "EOF":
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raise StopIteration # if end of file has been reached, stop iterating
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event = SethEvent(self.complete[0])
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self.complete[0]=[]
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self.complete=[]
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return event
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time_old=100
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def read_more(self):
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time_window = 5
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time_window = 5 # ticks, 1 tick = 2 us
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l = self.file.readline()
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if not l:
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if not l: # if line is empty, close file and say end of file reached
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self.file.close()
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return False
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return "EOF"
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if self.verbose:
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print(l, l[0])
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if l[0] == 'E':
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line = [float(num) for num in l.split(r'\s+')[1:]]
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print(line)
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if not self.partial or line[0] + time_window <= self.partial[0][0]:
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self.partial.append(line)
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self.complete.append(self.partial)
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self.partial = []
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if l[0] == 'E': # works on EDB, EDS, and ED lines
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#print(l)
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line = [float(num) for num in l.split()[1:]] # split contents into floats
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#print(line)
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if not self.partial or line[0] <= self.partial[0][0] + time_window: # if list is empty or new line is not older than 5 ticks relative to first line in event
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self.partial.append(line)
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else:
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self.complete.append(self.partial)
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self.partial = []
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self.partial.append(line)
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class SethEvent:
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def __init__(self, event: list):
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self.event = event
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diode_dictionary = {# can be found in ahepam/nmahepam_channels.md
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#dorn_channel:seth_diode
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16:13,
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8:16,
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0:17,
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17:20,
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9:7,
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1:10,
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18:1,
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10:4,
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2:19,
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19:2,
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11:'HET',
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3:'BGO1',
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12:'BGO2',
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20:'BGO3',
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21:8,
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4:5,
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5:6,
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13:3,
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14:9,
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22:12,
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23:11,
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6:14,
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7:15,
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15:18
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}
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sl = 1 # for clearer referencing in event line
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ch = 2
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self._event = event
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self.upper_td = ()
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self.BGOB = [0, 0, 0]
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self.HETA = 0
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self.HETB = 0
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self.BGOD = [0, 0, 0]
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self.lower_td = ()
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for detector in event:
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detector[ch] = int(detector[ch])
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if detector[sl] == 0: # slice 0
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if detector[ch] == 11: # dorn channel 11
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self.HETB = detector[9]
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if detector[ch] == 3:
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self.BGOD[0] = detector[9]
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if detector[ch] == 12:
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self.BGOD[1] = detector[9]
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if detector[ch] == 20:
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self.BGOD[2] = detector[9]
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if int(detector[ch]) not in [3,11,12,20] and abs(detector[ch]) < 24:
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self.lower_td = (diode_dictionary[detector[ch]], detector[9]) # tuple of (seth_diode, pha) for seth_diode see Jaspers thesis
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def __get__(self):
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return self.event
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else: # slice 1
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if detector[ch] == 11: # dorn channel 11 is
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self.HETA = detector[9]
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if detector[ch] == 3:
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self.BGOB[0] = detector[9]
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if detector[ch] == 12:
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self.BGOB[1] = detector[9]
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if detector[ch] == 20:
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self.BGOB[2] = detector[9]
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if detector[ch] not in [3,11,12,20] and abs(detector[ch]) < 24:
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self.upper_td = (diode_dictionary[detector[ch]], detector[9]) # tuple of (seth_diode, pha) for seth_diode see Jaspers thesis
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def get_event(self):
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return self._event
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