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pyDLTPulseGenerator.py
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pyDLTPulseGenerator.py
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#*************************************************************************************************
#**
#** Copyright (c) 2017-2022 Dr. Danny Petschke. All rights reserved.
#**
#** Redistribution and use in source and binary forms, with or without modification,
#** are permitted provided that the following conditions are met:
#**
#** 1. Redistributions of source code must retain the above copyright notice,
#** this list of conditions and the following disclaimer.
#**
#** 2. Redistributions in binary form must reproduce the above copyright notice,
#** this list of conditions and the following disclaimer in the documentation
#** and/or other materials provided with the distribution.
#**
#** 3. Neither the name of the copyright holder "Danny Petschke" nor the names of its
#** contributors may be used to endorse or promote products derived from this software
#** without specific prior written permission.
#**
#**
#** THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS
#** OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF
#** MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
#** COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
#** EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
#** SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)
#** HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR
#** TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE,
#** EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#**
#** Contact: danny.petschke@uni-wuerzburg.de
#**
#*************************************************************************************************
import ctypes
from ctypes import cdll
def __information__():
print("#****************** pyDLTPulseGenerator 1.4 (28.08.2022) *******************")
print("#**")
print("#** Copyright (C) 2017-2022 Dr. Danny Petschke")
print("#**")
print("#** Contact: danny.petschke@uni-wuerzburg.de")
print("#**")
print("#***************************************************************************\n")
def __licence__():
print("#*************************************************************************************************")
print("#**")
print("#** Copyright (c) 2017-2022 Dr. Danny Petschke. All rights reserved.")
print("#**")
print("#** Redistribution and use in source and binary forms, with or without modification,")
print("#** are permitted provided that the following conditions are met:")
print("#**")
print("#** 1. Redistributions of source code must retain the above copyright notice,")
print("#** this list of conditions and the following disclaimer.")
print("#**")
print("#** 2. Redistributions in binary form must reproduce the above copyright notice,")
print("#** this list of conditions and the following disclaimer in the documentation")
print("#** and/or other materials provided with the distribution.")
print("#**")
print("#** 3. Neither the name of the copyright holder ""Danny Petschke"" nor the names of its")
print("#** contributors may be used to endorse or promote products derived from this software")
print("#** without specific prior written permission.")
print("#**")
print("#**")
print("#** THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS ""AS IS"" AND ANY EXPRESS")
print("#** OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF")
print("#** MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE")
print("#** COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,")
print("#** EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF")
print("#** SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)")
print("#** HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR")
print("#** TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE,")
print("#** EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.")
print("#**")
print("#** Contact: danny.petschke@uni-wuerzburg.de")
print("#**")
print("#*************************************************************************************************")
class DLTPointF:
m_x = float(0.0)
m_y = float(0.0)
def __init__(self, x = float(0.0), y = float(0.0)):
self.m_x = x
self.m_y = y
def __del__(self):
del self.m_x
del self.m_y
def setX(self, x):
self.m_x = x
def setY(self, y):
self.m_y = y
def setPoint(self, x, y):
self.m_x = x
self.m_y = y
def x(self):
return self.m_x
def y(self):
return self.m_y
def __print__(self):
print("DLTPointF: (", self.m_x, ";", self.m_y, ")")
class DLTPulseF:
m_x = []
m_y = []
def __init__(self):
self.m_x = []
self.m_y = []
def __del__(self):
del self.m_x
del self.m_y
def append(self, point):
self.m_x.append(point.x())
self.m_y.append(point.y())
def clear(self):
self.m_x.clear()
self.m_y.clear()
def count(self):
return len(self.m_x)
def getPoint(self, index): #returns DLTPointF
if index >= self.count() or index < 0:
raise ValueError('DLTPulseF: Index out of range!')
return DLTPointF(self.m_x[index], self.m_y[index])
def getTime(self):
return self.m_x
def getVoltage(self):
return self.m_y
def getMaximumVoltage(self):
maximum = 0;
for index in range(0, self.count()-1):
if self.m_y[index] > maximum:
maximum = self.m_y[index]
return maximum
def getMinimumVoltage(self):
minimum = 1E9;
for index in range(0, self.count()-1):
if self.m_y[index] < minimum:
minimum = self.m_y[index]
return minimum
class DLTPHS:
m_useGaussianModels = True
# if 'm_useGaussianModels' == True
m_meanOfStart_A_in_milliVolt = -190.0
m_meanOfStop_A_in_milliVolt = -90.0
m_stddevOfStart_A_in_milliVolt = -150.0
m_stddevOfStop_A_in_milliVolt = -25.0
m_meanOfStart_B_in_milliVolt = -190.0
m_meanOfStop_B_in_milliVolt = -90.0
m_stddevOfStart_B_in_milliVolt = -150.0
m_stddevOfStop_B_in_milliVolt = -25.0
# if 'm_useGaussianModels' == False
m_distributionStartA = []
m_distributionStopA = []
m_resolutionMilliVoltPerStepA = 0.5 # [mV]
m_gridNumberA = 10000
m_distributionStartB = []
m_distributionStopB = []
m_resolutionMilliVoltPerStepB = 0.5 # [mV]
m_gridNumberB = 10000
def __init__(self, useGaussianModels = True,
meanOfStartA = -190.0,
stddevOfStartA = -150.0,
meanOfStopA = -90.0,
stddevOfStopA = -25.0,
meanOfStartB = -190.0,
stddevOfStartB = -150.0,
meanOfStopB = -90.0,
stddevOfStopB = -25.0,
distributionStartA = [],
distributionStopA = [],
resolutionMilliVoltPerStepA = 0.5,
gridNumberA = 10000,
distributionStartB = [],
distributionStopB = [],
resolutionMilliVoltPerStepB = 0.5,
gridNumberB = 10000):
self.m_useGaussianModels = useGaussianModels
self.m_meanOfStart_A_in_milliVolt = meanOfStartA
self.m_meanOfStop_A_in_milliVolt = meanOfStopA
self.m_stddevOfStart_A_in_milliVolt = stddevOfStartA
self.m_stddevOfStop_A_in_milliVolt = stddevOfStopA
self.m_meanOfStart_B_in_milliVolt = meanOfStartB
self.m_meanOfStop_B_in_milliVolt = meanOfStopB
self.m_stddevOfStart_B_in_milliVolt = stddevOfStartB
self.m_stddevOfStop_B_in_milliVolt = stddevOfStopB
self.m_distributionStartA = distributionStartA
self.m_distributionStopA = distributionStopA
self.m_resolutionMilliVoltPerStepA = resolutionMilliVoltPerStepA
self.m_gridNumberA = gridNumberA
self.m_distributionStartB = distributionStartB
self.m_distributionStopB = distributionStopB
self.m_resolutionMilliVoltPerStepB = resolutionMilliVoltPerStepB
self.m_gridNumberB = gridNumberB
class DLTDistributionInfo:
m_enabled = False
# GAUSSIAN = 0
# LOG_NORMAL = 1
# LORENTZIAN_CAUCHY = 2
m_functionType = 0
m_param1 = 0.0
m_param2 = 0.0 # reserved for future implementations
m_gridCount = 0
m_gridIncrement = 0.0
def __init__(self, enabled = False, functionType = 0, param1 = 0.0, gridCount = 0, gridIncrement = 0.0):
self.m_enabled = enabled
self.m_functionType = functionType
self.m_param1 = param1
self.m_param2 = 0.0
self.m_gridCount = gridCount
self.m_gridIncrement = gridIncrement
class DLTSimulationInput:
m_lt1_activated = True
m_lt2_activated = True
m_lt3_activated = True
m_lt4_activated = False
m_lt5_activated = False
m_tau1_in_nanoSeconds = 0.160
m_tau2_in_nanoSeconds = 0.385
m_tau3_in_nanoSeconds = 1.2
m_tau4_in_nanoSeconds = 0.0
m_tau5_in_nanoSeconds = 0.0
m_distrInfo1 = DLTDistributionInfo()
m_distrInfo2 = DLTDistributionInfo()
m_distrInfo3 = DLTDistributionInfo()
m_distrInfo4 = DLTDistributionInfo()
m_distrInfo5 = DLTDistributionInfo()
m_intensity1 = 0.25
m_intensity2 = 0.25
m_intensity3 = 0.5
m_intensity4 = 0.0
m_intensity5 = 0.0
m_intensityOfPromtOccurrance = 0.2
m_intensityOfBackgroundOccurrance = 0.05
m_isStartStopAlternating = True;
def __init__(self, lt1_activated = True, tau1_in_nanoSeconds = 0.160, intensity1 = 0.25, distrInfo1 = DLTDistributionInfo(),
lt2_activated = True, tau2_in_nanoSeconds = 0.385, intensity2 = 0.25, distrInfo2 = DLTDistributionInfo(),
lt3_activated = True, tau3_in_nanoSeconds = 1.2, intensity3 = 0.5, distrInfo3 = DLTDistributionInfo(),
lt4_activated = False, tau4_in_nanoSeconds = 0.0, intensity4 = 0.0, distrInfo4 = DLTDistributionInfo(),
lt5_activated = False, tau5_in_nanoSeconds = 0.0, intensity5 = 0.0, distrInfo5 = DLTDistributionInfo(),
intensityOfPromtOccurrance = 0.2,
intensityOfBackgroundOccurrance = 0.05,
isStartStopAlternating = True):
self.m_lt1_activated = lt1_activated
self.m_lt2_activated = lt2_activated
self.m_lt3_activated = lt3_activated
self.m_lt4_activated = lt4_activated
self.m_lt5_activated = lt5_activated
self.m_tau1_in_nanoSeconds = tau1_in_nanoSeconds
self.m_tau2_in_nanoSeconds = tau2_in_nanoSeconds
self.m_tau3_in_nanoSeconds = tau3_in_nanoSeconds
self.m_tau4_in_nanoSeconds = tau4_in_nanoSeconds
self.m_tau5_in_nanoSeconds = tau5_in_nanoSeconds
self.m_intensity1 = intensity1
self.m_intensity2 = intensity2
self.m_intensity3 = intensity3
self.m_intensity4 = intensity4
self.m_intensity5 = intensity5
self.m_distrInfo1 = distrInfo1
self.m_distrInfo2 = distrInfo2
self.m_distrInfo3 = distrInfo3
self.m_distrInfo4 = distrInfo4
self.m_distrInfo5 = distrInfo5
self.m_intensityOfPromtOccurrance = intensityOfPromtOccurrance
self.m_intensityOfBackgroundOccurrance = intensityOfBackgroundOccurrance
self.m_isStartStopAlternating = isStartStopAlternating;
class DLTIRF:
m_enabled = False
# GAUSSIAN = 0
# LOG_NORMAL = 1
# LORENTZIAN_CAUCHY = 2
m_functionType = 0
m_relativeShift = 0.0
m_intensity = 0.0
m_uncertainty = 0.0
def __init__(self, enabled = False, functionType = 0, relativeShift = 0.0, intensity = 0.0, uncertainty = 0.0):
self.m_enabled = enabled
self.m_functionType = functionType
self.m_relativeShift = relativeShift
self.m_intensity = intensity
self.m_uncertainty = uncertainty
class DLTSetup:
# PDS-A
m_irf_PDSA_1 = DLTIRF(True, 0, 0.0, 1.0, 0.084932901)
m_irf_PDSA_2 = DLTIRF()
m_irf_PDSA_3 = DLTIRF()
m_irf_PDSA_4 = DLTIRF()
m_irf_PDSA_5 = DLTIRF()
# PDS-B
m_irf_PDSB_1 = DLTIRF(True, 0, 0.0, 1.0, 0.084932901)
m_irf_PDSB_2 = DLTIRF()
m_irf_PDSB_3 = DLTIRF()
m_irf_PDSB_4 = DLTIRF()
m_irf_PDSB_5 = DLTIRF()
# MU
m_irf_MU_1 = DLTIRF(True, 0, 0.0, 1.0, 0.0025)
m_irf_MU_2 = DLTIRF()
m_irf_MU_3 = DLTIRF()
m_irf_MU_4 = DLTIRF()
m_irf_MU_5 = DLTIRF()
m_ATS_in_nanoSeconds = 0.25
m_sweep_in_nanoSeconds = 200.0
m_numberOfCells = 1024
def __init__(self,
irf_PDSA_1 = DLTIRF(True, 0, 0.0, 1.0, 0.084932901),
irf_PDSA_2 = DLTIRF(),
irf_PDSA_3 = DLTIRF(),
irf_PDSA_4 = DLTIRF(),
irf_PDSA_5 = DLTIRF(),
irf_PDSB_1 = DLTIRF(True, 0, 0.0, 1.0, 0.084932901),
irf_PDSB_2 = DLTIRF(),
irf_PDSB_3 = DLTIRF(),
irf_PDSB_4 = DLTIRF(),
irf_PDSB_5 = DLTIRF(),
irf_MU_1 = DLTIRF(True, 0, 0.0, 1.0, 0.0025),
irf_MU_2 = DLTIRF(),
irf_MU_3 = DLTIRF(),
irf_MU_4 = DLTIRF(),
irf_MU_5 = DLTIRF(),
ATS_in_nanoSeconds = 0.25,
sweep_in_nanoSeconds = 200.0,
numberOfCells = 1024):
self.m_irf_PDSA_1 = irf_PDSA_1;
self.m_irf_PDSA_2 = irf_PDSA_2;
self.m_irf_PDSA_3 = irf_PDSA_3;
self.m_irf_PDSA_4 = irf_PDSA_4;
self.m_irf_PDSA_5 = irf_PDSA_5;
self.m_irf_PDSB_1 = irf_PDSB_1;
self.m_irf_PDSB_2 = irf_PDSB_2;
self.m_irf_PDSB_3 = irf_PDSB_3;
self.m_irf_PDSB_4 = irf_PDSB_4;
self.m_irf_PDSB_5 = irf_PDSB_5;
self.m_irf_MU_1 = irf_MU_1;
self.m_irf_MU_2 = irf_MU_2;
self.m_irf_MU_3 = irf_MU_3;
self.m_irf_MU_4 = irf_MU_4;
self.m_irf_MU_5 = irf_MU_5;
self.m_ATS_in_nanoSeconds = ATS_in_nanoSeconds
self.m_sweep_in_nanoSeconds = sweep_in_nanoSeconds
self.m_numberOfCells = numberOfCells
class DLTPulseTimeAxisNonlinearityInfo:
m_enabled = False
m_fixedPatternApertureJitter = 0.0
m_rndApertureJitter = 0.0
def __init__(self, enabled = False,
fixedPatternApertureJitter = 0.0,
rndApertureJitter = 0.0):
self.m_enabled = enabled
self.m_fixedPatternApertureJitter = fixedPatternApertureJitter
self.m_rndApertureJitter = rndApertureJitter
class DLTPulseRandomNoiseInfo:
m_enabled = False
m_rndNoise = 0.0
def __init__(self, enabled = False,
rndNoise = 0.0):
self.m_enabled = enabled
self.m_rndNoise = rndNoise
class DLTPulseBaselineOffsetJitterInfo:
m_enabled = False
m_meanOfBaselineOffsetJitter = 0.0
m_stddevOfBaselineOffsetJitter = 0.0
def __init__(self, enabled = False,
meanOfBaselineOffsetJitter = 0.0,
stddevOfBaselineOffsetJitter = 0.0):
self.m_enabled = enabled
self.m_meanOfBaselineOffsetJitter = meanOfBaselineOffsetJitter
self.m_stddevOfBaselineOffsetJitter = stddevOfBaselineOffsetJitter
class DLTPulseInfo:
m_riseTime_in_nanoseconds = 0.0
m_pulseWidth_in_nanoseconds = 0.0
m_baselineOffsetJitterInfo = DLTPulseBaselineOffsetJitterInfo()
m_randomNoiseInfo = DLTPulseRandomNoiseInfo()
m_timeAxisNonlinearityInfo = DLTPulseTimeAxisNonlinearityInfo()
def __init__(self, riseTime_in_nanoSeconds = 5.0,
pulseWidth_in_nanoSeconds = 0.165,
baselineOffsetJitterInfo = DLTPulseBaselineOffsetJitterInfo(False, 0.0, 5.0),
randomNoiseInfo = DLTPulseRandomNoiseInfo(True, 0.45),
timeAxisNonlinearityInfo = DLTPulseTimeAxisNonlinearityInfo(True, 0.005, 0.001)):
self.m_riseTime_in_nanoSeconds = riseTime_in_nanoSeconds
self.m_pulseWidth_in_nanoSeconds = pulseWidth_in_nanoSeconds
self.m_baselineOffsetJitterInfo = baselineOffsetJitterInfo
self.m_randomNoiseInfo = randomNoiseInfo
self.m_timeAxisNonlinearityInfo = timeAxisNonlinearityInfo
class DLTPulseDigitizationInfo:
m_enabled = False
m_digitizationDepth = 0
def __init__(self, enabled = False, digitizationDepth = 14):
self.m_enabled = enabled
self.m_digitizationDepth = digitizationDepth
class DLTPulse:
m_pulseInfoA = DLTPulseInfo()
m_pulseInfoB = DLTPulseInfo()
m_digitizationInfo = DLTPulseDigitizationInfo(True, 14)
m_delay_in_nanoSeconds = 65.0
m_amplitude_in_milliVolt = -500.0
m_isPositiveSignalPolarity = False
def __init__(self, pulseInfoA = DLTPulseInfo(),
pulseInfoB = DLTPulseInfo(),
digitizationInfo = DLTPulseDigitizationInfo(True, 14),
delay_in_nanoSeconds = 65.0,
amplitude_in_milliVolt = -500.0,
isPositiveSignalPolarity = False):
self.m_delay_in_nanoSeconds = delay_in_nanoSeconds
self.m_amplitude_in_milliVolt = amplitude_in_milliVolt
self.m_isPositiveSignalPolarity = isPositiveSignalPolarity
self.m_pulseInfoA = pulseInfoA
self.m_pulseInfoB = pulseInfoB
self.m_digitizationInfo = digitizationInfo
class DLTPulseGenerator:
__dllPtr = 0
m_getTimeA = 0
m_getTimeB = 0
m_getVoltageA = 0
m_getVoltageB = 0
m_error = 0
m_numberOfCells = 0
m_emitPulse = 0
def __init__(self, dLTPHSDistribution = DLTPHS(),
dLTSimulationInput = DLTSimulationInput(),
dLTSetupInfo = DLTSetup(),
dLTPulseInfo = DLTPulse(),
path = "../DLTPulseGenerator.dll"):
self.__dllPtr = cdll.LoadLibrary(path)
self.__dllPtr.init() # generate single instance ...
# DLTSimulationInput
self.__dllPtr.setLifeTime_1(ctypes.c_bool(dLTSimulationInput.m_lt1_activated),
ctypes.c_double(dLTSimulationInput.m_tau1_in_nanoSeconds),
ctypes.c_double(dLTSimulationInput.m_intensity1),
ctypes.c_bool(dLTSimulationInput.m_distrInfo1.m_enabled),
ctypes.c_int(dLTSimulationInput.m_distrInfo1.m_functionType),
ctypes.c_double(dLTSimulationInput.m_distrInfo1.m_param1),
ctypes.c_int(dLTSimulationInput.m_distrInfo1.m_gridCount),
ctypes.c_double(dLTSimulationInput.m_distrInfo1.m_gridIncrement))
self.__dllPtr.setLifeTime_2(ctypes.c_bool(dLTSimulationInput.m_lt2_activated),
ctypes.c_double(dLTSimulationInput.m_tau2_in_nanoSeconds),
ctypes.c_double(dLTSimulationInput.m_intensity2),
ctypes.c_bool(dLTSimulationInput.m_distrInfo2.m_enabled),
ctypes.c_int(dLTSimulationInput.m_distrInfo2.m_functionType),
ctypes.c_double(dLTSimulationInput.m_distrInfo2.m_param1),
ctypes.c_int(dLTSimulationInput.m_distrInfo2.m_gridCount),
ctypes.c_double(dLTSimulationInput.m_distrInfo2.m_gridIncrement))
self.__dllPtr.setLifeTime_3(ctypes.c_bool(dLTSimulationInput.m_lt3_activated),
ctypes.c_double(dLTSimulationInput.m_tau3_in_nanoSeconds),
ctypes.c_double(dLTSimulationInput.m_intensity3),
ctypes.c_bool(dLTSimulationInput.m_distrInfo3.m_enabled),
ctypes.c_int(dLTSimulationInput.m_distrInfo3.m_functionType),
ctypes.c_double(dLTSimulationInput.m_distrInfo3.m_param1),
ctypes.c_int(dLTSimulationInput.m_distrInfo3.m_gridCount),
ctypes.c_double(dLTSimulationInput.m_distrInfo3.m_gridIncrement))
self.__dllPtr.setLifeTime_4(ctypes.c_bool(dLTSimulationInput.m_lt4_activated),
ctypes.c_double(dLTSimulationInput.m_tau4_in_nanoSeconds),
ctypes.c_double(dLTSimulationInput.m_intensity4),
ctypes.c_bool(dLTSimulationInput.m_distrInfo4.m_enabled),
ctypes.c_int(dLTSimulationInput.m_distrInfo4.m_functionType),
ctypes.c_double(dLTSimulationInput.m_distrInfo4.m_param1),
ctypes.c_int(dLTSimulationInput.m_distrInfo4.m_gridCount),
ctypes.c_double(dLTSimulationInput.m_distrInfo4.m_gridIncrement))
self.__dllPtr.setLifeTime_5(ctypes.c_bool(dLTSimulationInput.m_lt5_activated),
ctypes.c_double(dLTSimulationInput.m_tau5_in_nanoSeconds),
ctypes.c_double(dLTSimulationInput.m_intensity5),
ctypes.c_bool(dLTSimulationInput.m_distrInfo5.m_enabled),
ctypes.c_int(dLTSimulationInput.m_distrInfo5.m_functionType),
ctypes.c_double(dLTSimulationInput.m_distrInfo5.m_param1),
ctypes.c_int(dLTSimulationInput.m_distrInfo5.m_gridCount),
ctypes.c_double(dLTSimulationInput.m_distrInfo5.m_gridIncrement))
self.__dllPtr.setStartStopAlternating(ctypes.c_bool(dLTSimulationInput.m_isStartStopAlternating))
# DLTPHS
self.__dllPtr.setPHSFromGaussianModel(ctypes.c_bool(dLTPHSDistribution.m_useGaussianModels))
if dLTPHSDistribution.m_useGaussianModels == True:
self.__dllPtr.setStartOfA(ctypes.c_double(dLTPHSDistribution.m_meanOfStart_A_in_milliVolt),
ctypes.c_double(dLTPHSDistribution.m_stddevOfStart_A_in_milliVolt))
self.__dllPtr.setStopOfA(ctypes.c_double(dLTPHSDistribution.m_meanOfStop_A_in_milliVolt),
ctypes.c_double(dLTPHSDistribution.m_stddevOfStop_A_in_milliVolt))
self.__dllPtr.setStartOfB(ctypes.c_double(dLTPHSDistribution.m_meanOfStart_B_in_milliVolt),
ctypes.c_double(dLTPHSDistribution.m_stddevOfStart_B_in_milliVolt))
self.__dllPtr.setStopOfB(ctypes.c_double(dLTPHSDistribution.m_meanOfStop_B_in_milliVolt),
ctypes.c_double(dLTPHSDistribution.m_stddevOfStop_B_in_milliVolt))
else:
startPHSSizeA = len(dLTPHSDistribution.m_distributionStartA)
startPHSA = (ctypes.c_double*startPHSSizeA)()
for i in range(0,len(dLTPHSDistribution.m_distributionStartA)):
startPHSA[i] = dLTPHSDistribution.m_distributionStartA[i]
stopPHSSizeA = len(dLTPHSDistribution.m_distributionStopA)
stopPHSA = (ctypes.c_double*stopPHSSizeA)()
for i in range(0,len(dLTPHSDistribution.m_distributionStopA)):
stopPHSA[i] = dLTPHSDistribution.m_distributionStopA[i]
self.__dllPtr.setPHSDistributionOfA(ctypes.c_double(dLTPHSDistribution.m_resolutionMilliVoltPerStepA),
ctypes.c_int(dLTPHSDistribution.m_gridNumberA),
startPHSA,
ctypes.c_int(startPHSSizeA),
stopPHSA,
ctypes.c_int(stopPHSSizeA))
startPHSSizeB = len(dLTPHSDistribution.m_distributionStartB)
startPHSB = (ctypes.c_double*startPHSSizeB)()
for i in range(0,len(dLTPHSDistribution.m_distributionStartB)):
startPHSB[i] = dLTPHSDistribution.m_distributionStartB[i]
stopPHSSizeB = len(dLTPHSDistribution.m_distributionStopB)
stopPHSB = (ctypes.c_double*stopPHSSizeB)()
for i in range(0,len(dLTPHSDistribution.m_distributionStopB)):
stopPHSB[i] = dLTPHSDistribution.m_distributionStopB[i]
self.__dllPtr.setPHSDistributionOfB(ctypes.c_double(dLTPHSDistribution.m_resolutionMilliVoltPerStepB),
ctypes.c_int(dLTPHSDistribution.m_gridNumberB),
startPHSB,
ctypes.c_int(startPHSSizeB),
stopPHSB,
ctypes.c_int(stopPHSSizeB))
# DLTSetup
self.__dllPtr.setIRF_PDS_A_1(ctypes.c_bool(dLTSetupInfo.m_irf_PDSA_1.m_enabled),
ctypes.c_int(dLTSetupInfo.m_irf_PDSA_1.m_functionType),
ctypes.c_double(dLTSetupInfo.m_irf_PDSA_1.m_intensity),
ctypes.c_double(dLTSetupInfo.m_irf_PDSA_1.m_uncertainty),
ctypes.c_double(dLTSetupInfo.m_irf_PDSA_1.m_relativeShift))
self.__dllPtr.setIRF_PDS_A_2(ctypes.c_bool(dLTSetupInfo.m_irf_PDSA_2.m_enabled),
ctypes.c_int(dLTSetupInfo.m_irf_PDSA_2.m_functionType),
ctypes.c_double(dLTSetupInfo.m_irf_PDSA_2.m_intensity),
ctypes.c_double(dLTSetupInfo.m_irf_PDSA_2.m_uncertainty),
ctypes.c_double(dLTSetupInfo.m_irf_PDSA_2.m_relativeShift))
self.__dllPtr.setIRF_PDS_A_3(ctypes.c_bool(dLTSetupInfo.m_irf_PDSA_3.m_enabled),
ctypes.c_int(dLTSetupInfo.m_irf_PDSA_3.m_functionType),
ctypes.c_double(dLTSetupInfo.m_irf_PDSA_3.m_intensity),
ctypes.c_double(dLTSetupInfo.m_irf_PDSA_3.m_uncertainty),
ctypes.c_double(dLTSetupInfo.m_irf_PDSA_3.m_relativeShift))
self.__dllPtr.setIRF_PDS_A_4(ctypes.c_bool(dLTSetupInfo.m_irf_PDSA_4.m_enabled),
ctypes.c_int(dLTSetupInfo.m_irf_PDSA_4.m_functionType),
ctypes.c_double(dLTSetupInfo.m_irf_PDSA_4.m_intensity),
ctypes.c_double(dLTSetupInfo.m_irf_PDSA_4.m_uncertainty),
ctypes.c_double(dLTSetupInfo.m_irf_PDSA_4.m_relativeShift))
self.__dllPtr.setIRF_PDS_A_5(ctypes.c_bool(dLTSetupInfo.m_irf_PDSA_5.m_enabled),
ctypes.c_int(dLTSetupInfo.m_irf_PDSA_5.m_functionType),
ctypes.c_double(dLTSetupInfo.m_irf_PDSA_5.m_intensity),
ctypes.c_double(dLTSetupInfo.m_irf_PDSA_5.m_uncertainty),
ctypes.c_double(dLTSetupInfo.m_irf_PDSA_5.m_relativeShift))
self.__dllPtr.setIRF_PDS_B_1(ctypes.c_bool(dLTSetupInfo.m_irf_PDSB_1.m_enabled),
ctypes.c_int(dLTSetupInfo.m_irf_PDSB_1.m_functionType),
ctypes.c_double(dLTSetupInfo.m_irf_PDSB_1.m_intensity),
ctypes.c_double(dLTSetupInfo.m_irf_PDSB_1.m_uncertainty),
ctypes.c_double(dLTSetupInfo.m_irf_PDSB_1.m_relativeShift))
self.__dllPtr.setIRF_PDS_B_2(ctypes.c_bool(dLTSetupInfo.m_irf_PDSB_2.m_enabled),
ctypes.c_int(dLTSetupInfo.m_irf_PDSB_2.m_functionType),
ctypes.c_double(dLTSetupInfo.m_irf_PDSB_2.m_intensity),
ctypes.c_double(dLTSetupInfo.m_irf_PDSB_2.m_uncertainty),
ctypes.c_double(dLTSetupInfo.m_irf_PDSB_2.m_relativeShift))
self.__dllPtr.setIRF_PDS_B_3(ctypes.c_bool(dLTSetupInfo.m_irf_PDSB_3.m_enabled),
ctypes.c_int(dLTSetupInfo.m_irf_PDSB_3.m_functionType),
ctypes.c_double(dLTSetupInfo.m_irf_PDSB_3.m_intensity),
ctypes.c_double(dLTSetupInfo.m_irf_PDSB_3.m_uncertainty),
ctypes.c_double(dLTSetupInfo.m_irf_PDSB_3.m_relativeShift))
self.__dllPtr.setIRF_PDS_B_4(ctypes.c_bool(dLTSetupInfo.m_irf_PDSB_4.m_enabled),
ctypes.c_int(dLTSetupInfo.m_irf_PDSB_4.m_functionType),
ctypes.c_double(dLTSetupInfo.m_irf_PDSB_4.m_intensity),
ctypes.c_double(dLTSetupInfo.m_irf_PDSB_4.m_uncertainty),
ctypes.c_double(dLTSetupInfo.m_irf_PDSB_4.m_relativeShift))
self.__dllPtr.setIRF_PDS_B_5(ctypes.c_bool(dLTSetupInfo.m_irf_PDSB_5.m_enabled),
ctypes.c_int(dLTSetupInfo.m_irf_PDSB_5.m_functionType),
ctypes.c_double(dLTSetupInfo.m_irf_PDSB_5.m_intensity),
ctypes.c_double(dLTSetupInfo.m_irf_PDSB_5.m_uncertainty),
ctypes.c_double(dLTSetupInfo.m_irf_PDSB_5.m_relativeShift))
self.__dllPtr.setIRF_MU_1(ctypes.c_bool(dLTSetupInfo.m_irf_MU_1.m_enabled),
ctypes.c_int(dLTSetupInfo.m_irf_MU_1.m_functionType),
ctypes.c_double(dLTSetupInfo.m_irf_MU_1.m_intensity),
ctypes.c_double(dLTSetupInfo.m_irf_MU_1.m_uncertainty),
ctypes.c_double(dLTSetupInfo.m_irf_MU_1.m_relativeShift))
self.__dllPtr.setIRF_MU_2(ctypes.c_bool(dLTSetupInfo.m_irf_MU_2.m_enabled),
ctypes.c_int(dLTSetupInfo.m_irf_MU_2.m_functionType),
ctypes.c_double(dLTSetupInfo.m_irf_MU_2.m_intensity),
ctypes.c_double(dLTSetupInfo.m_irf_MU_2.m_uncertainty),
ctypes.c_double(dLTSetupInfo.m_irf_MU_2.m_relativeShift))
self.__dllPtr.setIRF_MU_3(ctypes.c_bool(dLTSetupInfo.m_irf_MU_3.m_enabled),
ctypes.c_int(dLTSetupInfo.m_irf_MU_3.m_functionType),
ctypes.c_double(dLTSetupInfo.m_irf_MU_3.m_intensity),
ctypes.c_double(dLTSetupInfo.m_irf_MU_3.m_uncertainty),
ctypes.c_double(dLTSetupInfo.m_irf_MU_3.m_relativeShift))
self.__dllPtr.setIRF_MU_4(ctypes.c_bool(dLTSetupInfo.m_irf_MU_4.m_enabled),
ctypes.c_int(dLTSetupInfo.m_irf_MU_4.m_functionType),
ctypes.c_double(dLTSetupInfo.m_irf_MU_4.m_intensity),
ctypes.c_double(dLTSetupInfo.m_irf_MU_4.m_uncertainty),
ctypes.c_double(dLTSetupInfo.m_irf_MU_4.m_relativeShift))
self.__dllPtr.setIRF_MU_5(ctypes.c_bool(dLTSetupInfo.m_irf_MU_5.m_enabled),
ctypes.c_int(dLTSetupInfo.m_irf_MU_5.m_functionType),
ctypes.c_double(dLTSetupInfo.m_irf_MU_5.m_intensity),
ctypes.c_double(dLTSetupInfo.m_irf_MU_5.m_uncertainty),
ctypes.c_double(dLTSetupInfo.m_irf_MU_5.m_relativeShift))
self.__dllPtr.setATS(ctypes.c_double(dLTSetupInfo.m_ATS_in_nanoSeconds))
self.__dllPtr.setSweep(ctypes.c_double(dLTSetupInfo.m_sweep_in_nanoSeconds))
self.__dllPtr.setNumberOfCells(ctypes.c_int(dLTSetupInfo.m_numberOfCells))
# DLTPulse
self.__dllPtr.setRiseTimeA(ctypes.c_double(dLTPulseInfo.m_pulseInfoA.m_riseTime_in_nanoSeconds))
self.__dllPtr.setPulseWidthA(ctypes.c_double(dLTPulseInfo.m_pulseInfoA.m_pulseWidth_in_nanoSeconds))
self.__dllPtr.setPulseBaselineOffsetJitterA(ctypes.c_bool(dLTPulseInfo.m_pulseInfoA.m_baselineOffsetJitterInfo.m_enabled),
ctypes.c_double(dLTPulseInfo.m_pulseInfoA.m_baselineOffsetJitterInfo.m_meanOfBaselineOffsetJitter),
ctypes.c_double(dLTPulseInfo.m_pulseInfoA.m_baselineOffsetJitterInfo.m_stddevOfBaselineOffsetJitter))
self.__dllPtr.setPulseRandomNoiseA(ctypes.c_bool(dLTPulseInfo.m_pulseInfoA.m_randomNoiseInfo.m_enabled),
ctypes.c_double(dLTPulseInfo.m_pulseInfoA.m_randomNoiseInfo.m_rndNoise))
self.__dllPtr.setPulseTimeAxisNonlinearityA(ctypes.c_bool(dLTPulseInfo.m_pulseInfoA.m_timeAxisNonlinearityInfo.m_enabled),
ctypes.c_double(dLTPulseInfo.m_pulseInfoA.m_timeAxisNonlinearityInfo.m_fixedPatternApertureJitter),
ctypes.c_double(dLTPulseInfo.m_pulseInfoA.m_timeAxisNonlinearityInfo.m_rndApertureJitter))
self.__dllPtr.setRiseTimeB(ctypes.c_double(dLTPulseInfo.m_pulseInfoB.m_riseTime_in_nanoSeconds))
self.__dllPtr.setPulseWidthB(ctypes.c_double(dLTPulseInfo.m_pulseInfoB.m_pulseWidth_in_nanoSeconds))
self.__dllPtr.setPulseBaselineOffsetJitterB(ctypes.c_bool(dLTPulseInfo.m_pulseInfoB.m_baselineOffsetJitterInfo.m_enabled),
ctypes.c_double(dLTPulseInfo.m_pulseInfoB.m_baselineOffsetJitterInfo.m_meanOfBaselineOffsetJitter),
ctypes.c_double(dLTPulseInfo.m_pulseInfoB.m_baselineOffsetJitterInfo.m_stddevOfBaselineOffsetJitter))
self.__dllPtr.setPulseRandomNoiseB(ctypes.c_bool(dLTPulseInfo.m_pulseInfoB.m_randomNoiseInfo.m_enabled),
ctypes.c_double(dLTPulseInfo.m_pulseInfoB.m_randomNoiseInfo.m_rndNoise))
self.__dllPtr.setPulseTimeAxisNonlinearityB(ctypes.c_bool(dLTPulseInfo.m_pulseInfoB.m_timeAxisNonlinearityInfo.m_enabled),
ctypes.c_double(dLTPulseInfo.m_pulseInfoB.m_timeAxisNonlinearityInfo.m_fixedPatternApertureJitter),
ctypes.c_double(dLTPulseInfo.m_pulseInfoB.m_timeAxisNonlinearityInfo.m_rndApertureJitter))
self.__dllPtr.setDigitizationInfo(ctypes.c_bool(dLTPulseInfo.m_digitizationInfo.m_enabled),
ctypes.c_int(dLTPulseInfo.m_digitizationInfo.m_digitizationDepth))
self.__dllPtr.setDelay(ctypes.c_double(dLTPulseInfo.m_delay_in_nanoSeconds))
self.__dllPtr.setAmplitude(ctypes.c_double(dLTPulseInfo.m_amplitude_in_milliVolt))
self.__dllPtr.setUsingPositiveSignalPolarity(ctypes.c_bool(dLTPulseInfo.m_isPositiveSignalPolarity))
self.__dllPtr.update()
self.m_error = self.__dllPtr.getLastError
self.m_numberOfCells = self.__dllPtr.getNumberOfCells
self.m_emitPulse = self.__dllPtr.emitPulse
self.m_getTimeA = self.__dllPtr.getTimeA
self.m_getTimeB = self.__dllPtr.getTimeB
self.m_getVoltageA = self.__dllPtr.getVoltageA
self.m_getVoltageB = self.__dllPtr.getVoltageB
self.m_getVoltageA.restype = ctypes.c_double #mV
self.m_getVoltageB.restype = ctypes.c_double #mV
self.m_getTimeA.restype = ctypes.c_double #ns
self.m_getTimeB.restype = ctypes.c_double #ns
self.m_error.restype = ctypes.c_int #error-code
self.m_numberOfCells.restype = ctypes.c_int #[#]
self.m_emitPulse.restype = ctypes.c_bool
def getError(self):
return self.__dllPtr.getLastError()
def printErrorDescription(self):
# enum DLTPULSEGENERATOR_EXPORT DLTErrorType : DLTError
#NONE_ERROR = 0x00000000,
#NO_LIFETIMES_TO_SIMULATE = 0x00000001,
#SWEEP_INVALID = 0x00000002,
#NUMBER_OF_CELLS_INVALID = 0x00000004,
#PDS_UNCERTAINTY_INVALID = 0x00000008,
#MU_UNCERTAINTY_INVALID = 0x00000010,
#PULSE_RISE_TIME_INVALID = 0x00000020,
#PULSE_WIDTH_INVALID = 0x00000040,
#DELAY_INVALID = 0x00000080,
#DELAY_LARGER_THAN_SWEEP = 0x00000100,
#INTENSITY_OF_LIFETIME_BELOW_ZERO = 0x00000200,
#INTENSITY_OF_BKGRD_BELOW_ZERO = 0x00000400,
#INTENSITY_OF_PROMT_BELOW_ZERO = 0x00000800,
#INVALID_SUM_OF_WEIGTHS = 0x00001000,
#AMPLITUDE_AND_PULSE_POLARITY_MISFIT = 0x00002000,
#AMPLITUDE_AND_PHS_MISFIT = 0x00004000,
#INVALID_LIFETIME_DISTRIBUTION_INPUT = 0x00008000,
#INVALID_SUM_OF_PDS_IRF_INTENSITIES = 0x00010000,
#INVALID_SUM_OF_MU_IRF_INTENSITIES = 0x00020000,
#INVALID_VOLTAGE_BASELINE_JITTER = 0x00040000,
#INVALID_VOLTAGE_RND_NOISE = 0x00080000,
#INVALID_TIME_NONLINEARITY_FIXED_APERTURE_JITTER = 0x00100000,
#INVALID_TIME_NONLINEARITY_RND_APERTURE_JITTER = 0x00200000,
#INVALID_DIGITIZATION_DEPTH = 0x00400000,
#INVALID_PHS_GRID = 0x00800000,
#INVALID_PHS_RESOLUTION = 0x01000000
#}
errorCode = self.getError()
if errorCode != 0:
print("DLTPulseGenerator initialized with error-code:")
if errorCode & 1:
print("- no lifetimes enabled.")
if errorCode & 2:
print("- invalid sweep.")
if errorCode & 4:
print("- invalid number of cells.")
if errorCode & 8:
print("- invalid PDS uncertainty.")
if errorCode & 16:
print("- invalid MU uncertainty.")
if errorCode & 32:
print("- invalid pulse rise time.")
if errorCode & 64:
print("- invalid pulse width.")
if errorCode & 128:
print("- invalid delay.")
if errorCode & 256:
print("- delay > sweep.")
if errorCode & 512:
print("- negative lifetimes detected.")
if errorCode & 1024:
print("- negative background detected.")
if errorCode & 2048:
print("- negative prompt intensity detected.")
if errorCode & 5096:
print("- invalid sum of weights.")
if errorCode & 10192:
print("- amplitude and pulse polarity misfit.")
if errorCode & 20384:
print("- amplitude and phs misfit.")
if errorCode & 40768:
print("- invalid input for lifetime distribution(s).")
if errorCode & 81536:
print("- invalid sum of PDF IRF(s) intensities.")
if errorCode & 163072:
print("- invalid sum of MU IRF(s) intensities.")
if errorCode & 326144:
print("- invalid baseline jitter.")
if errorCode & 652288:
print("- invalid noise.")
if errorCode & 1304576:
print("- invalid time non-linearity fixed aperture jitter.")
if errorCode & 2609152:
print("- invalid time non-linearity random aperture jitter.")
if errorCode & 5218304:
print("- invalid digitization depth.")
if errorCode & 10436608:
print("- invalid input for phs grid detected.")
if errorCode & 20873216:
print("- invalid input for phs resolution detected.")
return False
else:
return True
def emitPulses(self, pulseA, pulseB, triggerA, triggerB):
ok = self.m_emitPulse(ctypes.c_double(triggerA), ctypes.c_double(triggerB))
if ok == False:
pulseA.clear()
pulseB.clear()
return False
maxCell = (self.m_numberOfCells() - 1)
pulseA.clear()
pulseB.clear()
# read out pulses ...
for cell in range(0, maxCell):
pulseA.append(DLTPointF(self.m_getTimeA(ctypes.c_int(cell)), self.m_getVoltageA(ctypes.c_int(cell))))
pulseB.append(DLTPointF(self.m_getTimeB(ctypes.c_int(cell)), self.m_getVoltageB(ctypes.c_int(cell))))
return True