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Copy pathHV_mon_qstamp.py
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269 lines (237 loc) · 9.18 KB
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#!/usr/bin/env python3
from iceboot.iceboot_session import getParser, startIcebootSession
from iceboot.test_waveform import parseTestWaveform, applyPatternSubtraction
import os, sys
import numpy as np
import scope
import time
from addparser_iceboot import AddParser
import matplotlib.pyplot as plt
from sensorcheck import getHVV, getHVI, getTemp
from loadFPGA import loadFPGA
from utils import pathSetting
import tables
from tqdm import tqdm
from pulserCalib import getThreshold
import datetime
def main(parser):
(options, args) = parser.parse_args()
if options.g:
print('engine agg')
import matplotlib as mpl
mpl.use('Agg')
elif not options.b:
print('engine pdf')
import matplotlib as mpl
mpl.use('PDF')
nevents = int(options.nevents)
path = pathSetting(options,'HVMONQ',True)
channel = int(options.channel)
loadFPGA(parser)
if not options.nocharge:
threshold_above_baseline = 10 if (options.bsthres is None) else int(options.bsthres)
os.system(f'mkdir -p {path}/raw')
threshold = getThreshold(parser, channel, 30000, threshold_above_baseline, path)
print(f'threshold is {threshold}')
session = startIcebootSession(parser)
time.sleep(1)
session.enableHV(channel)
#nSamples = (int(options.samples) / 4) * 4
#session.setDEggConstReadout(channel, 2, int(nSamples))
#session.startDEggSWTrigStream(channel, int(options.swTrigDelay))
if not options.nocharge:
session.startDEggThreshTrigStream(channel, threshold)
datadict = dict_init()
HVstart = int(options.vmin)
HVend = int(options.vmax)
waittime = int(options.wtime)
waittimelong = int(options.wtimelong)
HVstartDelay = int(HVstart/50)
up_stages = np.linspace(HVstart,HVend,options.vstep)
down_stages = np.linspace(HVend,HVstart,options.vstep)
stages = np.hstack((up_stages,down_stages))
hdfout = f'{path}/data.hdf'
hvv = []
hvi = []
qmean = []
pbar = tqdm(total = len(stages))
i = 0
while i < len(stages):
stage = stages[i]
isException = 0
try:
session.setDEggHV(channel,int(stage))
except:
i = 0
datadict = dict_init()
pbar.reset()
session.close()
time.sleep(1)
session = startIcebootSession(parser)
time.sleep(1)
session.enableHV(channel)
session.startDEggThreshTrigStream(channel, threshold)
continue
if i==0:
readout_length = HVstartDelay*10+waittime
else:
readout_length = waittime
this_hvi = []
for iteration in tqdm(np.arange(readout_length),leave=False):
try:
datadict = charge_readout(session, channel, stage, nevents, hdfout, options.onlyhv, options.nocharge)
except Exception:
tqdm.write('Exception')
isException = 1
i = 0
pbar.reset()
break
this_hvi.append(datadict['hvi'])
hvv.append(datadict['hvv'])
hvi.append(datadict['hvi'])
qmean.append(np.mean(np.array(datadict['charge'])))
if isException:
continue
# long term monitoring
if (i!=0) and (np.std(this_hvi)>.5):
for iteration in tqdm(np.arange(waittimelong),leave=False):
try:
datadict = charge_readout(session, channel, stage, nevents, hdfout, options.onlyhv, options.nocharge)
except Exception:
tqdm.write('Exception')
isException = 1
i = 0
pbar.reset()
break
hvv.append(datadict['hvv'])
hvi.append(datadict['hvi'])
qmean.append(np.mean(np.array(datadict['charge'])))
if isException:
continue
i += 1
pbar.update(1)
pbar.close()
session.setDEggHV(channel,0)
session.close()
hvi_std = [np.std(hvi[10*i:10*(i+1)]) for i in range(int(len(hvi)/10))]
# Voltage, Current
fig = plt.figure(figsize=(11.2,6.4))
ax1 = fig.add_subplot(111)
ax2 = ax1.twinx()
#ax3 = ax1.twinx()
fig.suptitle(f'{options.mbsnum} Ch-{channel}')
ax1.plot(np.arange(len(hvv)), hvv, label='Voltage',color='tab:blue')
ax2.plot(np.arange(len(hvv)), hvi, label='Current',color='tab:orange')
ax2.plot(np.arange(len(hvi_std))*10, hvi_std, label='Current RMS', color='tab:red')
ax1.set_xlabel('Readout number')
ax1.set_ylabel('Observed Voltage [V]')
ax2.set_ylabel('Observed Current [$\mu$A]')
#ax3.set_ylabel('$\sigma_{I_\mathrm{obs}}$ [%]')
#ax3.spines['right'].set_position(('axes',1.1))
h1, l1 = ax1.get_legend_handles_labels()
h2, l2 = ax2.get_legend_handles_labels()
#h3, l3 = ax3.get_legend_handles_labels()
ax1.legend(h1+h2,l1+l2)
#ax1.legend(h1+h2+h3,l1+l2+l3)
ax1.set_ylim(0,2000)
ax2.set_ylim(0,20)
#ax3.set_ylim(0,16)
plt.tight_layout(rect=[0,0,1,0.97])
plt.savefig(f'{path}/hv_relation_time.pdf')
if not options.b:
plt.show()
else:
plt.draw()
# Mean Charge with the data-taking threshold of +9
figure = plt.figure(figsize=(11.2,6.4))
plt.plot(np.arange(len(qmean)),qmean,label='Mean Charge')
plt.xlabel('Readout number')
plt.ylabel('Charge [pC]')
plt.tight_layout()
plt.savefig(f'{path}/mean-charge.pdf')
if not options.b:
plt.show()
else:
plt.draw()
def charge_readout(session, channel, stage, nevents, filename, onlyhv=False, nocharge=False):
datadict = dict_init()
datadict['hvv'] = getHVV(session,channel)
datadict['hvi'] = getHVI(session,channel)
datadict['setv'] = stage
datadict['temp'] = getTemp(session)
if nocharge:
datadict['charge'] = [0]
origin_time = datetime.datetime(2022,11,1)
datadict['timestamp'] = [time.time()-origin_time.timestamp()]
store_hdf_array(filename,datadict)
return datadict
chargesize = 14 if onlyhv else 14*nevents
try:
block = session.DEggReadChargeBlock(10,15,chargesize,timeout=10)
except IOError:
session.endStream()
session.close()
time.sleep(1)
session = startIcebootSession(parser)
time.sleep(1)
session.enableHV(channel)
raise Exception('Timeout or Error in the block readout. Restarted...')
datadict['charge'] = [(rec.charge * 1e12) for rec in block[channel] if not rec.flags]
datadict['timestamp'] = [rec.timeStamp for rec in block[channel] if not rec.flags]
store_hdf_array(filename,datadict)
return datadict
def dict_init():
return {'hvv': 0,'hvi': 0,'setv': 0,'temp': 0,'charge':[0],'timestamp': [0]}
def store_hdf_array(filename, datadict):
if not os.path.isfile(filename):
class Event(tables.IsDescription):
hvv = tables.Float32Col()
hvi = tables.Float32Col()
setv = tables.Int32Col()
temp = tables.Float32Col()
timestamp = tables.Int32Col(shape=np.asarray(datadict['timestamp']).shape)
charge = tables.Float32Col(shape=np.asarray(datadict['charge']).shape)
with tables.open_file(filename,'w') as f:
table = f.create_table('/','data',Event)
with tables.open_file(filename,'a') as f:
table = f.get_node('/data')
event = table.row
for key in datadict:
event[key] = datadict[key]
event.append()
table.flush()
def store_hdf(filename, datadic):
if not os.path.isfile(filename):
class Event(tables.IsDescription):
hvv = tables.Float32Col(shape=np.asarray(datadic['hvv']).shape)
hvi = tables.Float32Col(shape=np.asarray(datadic['hvi']).shape)
setv = tables.Int32Col(shape=np.asarray(datadic['setv']).shape)
temp = tables.Float32Col(shape=np.asarray(datadic['temp']).shape)
wf = tables.Float32Col(shape=np.asarray(datadic['charge']).shape)
timestamp = tables.Int32Col(shape=np.asarray(datadic['timestamp']).shape)
with tables.open_file(filename,'w') as f:
table = f.create_table('/','data',Event)
with tables.open_file(filename, 'a') as f:
table = f.get_node('/data')
event = table.row
event['hvv'] = datadic['hvv']
event['hvi'] = datadic['hvi']
event['temp'] = datadic['temp']
event['setv'] = datadic['setv']
event['charge'] = datadic['charge']
event['timestamp'] = datadic['timestamp']
event.append()
table.flush()
if __name__ == "__main__":
parser = getParser()
scope.AddParser(parser)
parser.add_option("--vmin",type=int,default=700)
parser.add_option("--vmax",type=int,default=1500)
parser.add_option("--vstep",type=int,default=21)
parser.add_option("--wtime",type=int,default=100)
parser.add_option("--wtimelong",type=int,default=2500)
parser.add_option("-g",action="store_true",default=False)
parser.add_option("--onlyhv",action="store_true",default=False)
parser.add_option("--nocharge",action="store_true",default=False)
(options, args) = parser.parse_args()
main(parser)