import numpy as np
import matplotlib.pyplot as plt
import time
from classes import WaveForm
from fun import find_hits, Recon_wf, get_spes, get_delays
import sys
#[ 9051  9052  9073 ... 48908 48922 48982]
PMT_num=20
time_samples=1024
id=9051
pmts=[0,1,4,7,8,14]
chns=[2,3,6,9,10,15]
Init=20
spes, height_cuts, rise_time_cuts, BL=get_spes(pmts)
delays=get_delays(pmts)

WFs=np.zeros((len(pmts), 1000))
recon_WFs=np.zeros((len(pmts), 1000))

start_time = time.time()

path='/home/gerak/Desktop/DireXeno/190803/Co57/'
file=open(path+'out.DXD', 'rb')
Data=np.fromfile(file, np.float32, (PMT_num+4)*(time_samples+2)*id)
j=0

Data=np.fromfile(file, np.float32, (PMT_num+4)*(time_samples+2))
Data=np.reshape(Data, (PMT_num+4, time_samples+2)).T
trig=np.argmin(Data[2:1002,0])
H=np.zeros(200)
WFs=np.zeros((len(pmts), 1000))
import numpy as np
import matplotlib.pyplot as plt
import time
from classes import WaveForm
from fun import find_hits, Recon_wf, get_spes, get_delays
import sys

PMT_num = 20
time_samples = 1024
id = 2021
pmts = [0, 1, 4, 7, 8, 14]
chns = [2, 3, 6, 9, 10, 15]
pmts = [1]
chns = [3]
Init = 20
spes, height_cuts, dh3_cut, BL = get_spes(pmts)
delays = get_delays(pmts)

WFs = np.zeros((len(pmts), 1000))
recon_WFs = np.zeros((len(pmts), 1000))

start_time = time.time()

path = '/home/gerak/Desktop/DireXeno/190803/Co57B/'
file = open(path + 'out.DXD', 'rb')
Data = np.fromfile(file, np.float32, (PMT_num + 4) * (time_samples + 2) * id)
j = 0

Data = np.fromfile(file, np.float32, (PMT_num + 4) * (time_samples + 2))
Data = np.reshape(Data, (PMT_num + 4, time_samples + 2)).T
trig = np.argmin(Data[2:1002, 0])
Example #3
0

def find_trig(wf):
    bl = np.median(wf[:200])
    top = np.median(wf[325:475])
    mid = 0.5 * (bl + top)
    return np.argmin(np.abs(wf[:400] - mid))


PMT_num = 20
time_samples = 1024
id = 0
pmts = np.array([0, 1, 4, 7, 8, 14])
chns = [2, 3, 6, 9, 10, 15]
Init = 20
spes, BL, height_cuts, dh3_cuts, spk_cuts = get_spes(pmts)
delays = get_delays(pmts)

WFs = np.zeros((len(pmts), 1000))
recon_WFs = np.zeros((len(pmts), 1000))

blw_cut = 25

start_time = time.time()
rec = np.recarray(1000,
                  dtype=[('area', 'i8', len(pmts)), ('blw', 'f8', len(pmts)),
                         ('id', 'i8'), ('sat', 'i8', len(pmts)),
                         ('chi2', 'f8', len(pmts)),
                         ('h', 'i8', (200, len(pmts))), ('init_event', 'i8'),
                         ('init_wf', 'i8', len(pmts))])