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7fca02119e
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10462c1eab
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@ -84,20 +84,16 @@ namespace Specter {
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{
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{
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sabreFlag = true;
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sabreFlag = true;
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if (hit.longEnergy > iter->second.GetValue())
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if (hit.longEnergy > iter->second.GetValue())
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iter->second.SetValue(hit.longEnergy + RandomGenerator::GetUniformFraction());
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iter->second.SetValue(hit.longEnergy);
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continue;
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continue;
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}
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}
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//Note randomization of values. In general, we want to plot/calculate as floating point.
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//Especially for histograms, care has to be taken to randomize the decimal to account for binning.
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//For timestamps from PSD, since we reduce accuracy by 3 orders of mag, no randomization needed.
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//For timestamps from PHA, need randomization on interval from 0 to digitizer sampling period.
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switch (hit.id)
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switch (hit.id)
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{
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{
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case s_scintLeftID:
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case s_scintLeftID:
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{
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{
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if (hit.longEnergy > scintLeft.GetValue())
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if (hit.longEnergy > scintLeft.GetValue())
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scintLeft.SetValue(hit.longEnergy + RandomGenerator::GetUniformFraction());
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scintLeft.SetValue(hit.longEnergy);
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break;
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break;
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}
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}
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case s_beamIntID:
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case s_beamIntID:
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@ -108,7 +104,7 @@ namespace Specter {
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case s_cathodeID:
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case s_cathodeID:
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{
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{
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if (hit.longEnergy > cathode.GetValue())
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if (hit.longEnergy > cathode.GetValue())
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cathode.SetValue(hit.longEnergy + RandomGenerator::GetUniformFraction());
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cathode.SetValue(hit.longEnergy);
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break;
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break;
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}
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}
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case s_delayFrontLeftID:
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case s_delayFrontLeftID:
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@ -138,13 +134,13 @@ namespace Specter {
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case s_anodeFrontID:
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case s_anodeFrontID:
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{
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{
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if (hit.longEnergy > anodeFront.GetValue())
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if (hit.longEnergy > anodeFront.GetValue())
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anodeFront.SetValue(hit.longEnergy + RandomGenerator::GetUniformFraction());
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anodeFront.SetValue(hit.longEnergy);
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break;
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break;
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}
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}
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case s_anodeBackID:
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case s_anodeBackID:
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{
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{
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if (hit.longEnergy > anodeBack.GetValue())
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if (hit.longEnergy > anodeBack.GetValue())
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anodeBack.SetValue(hit.longEnergy + RandomGenerator::GetUniformFraction());
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anodeBack.SetValue(hit.longEnergy);
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break;
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break;
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}
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}
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}
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}
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@ -152,7 +148,6 @@ namespace Specter {
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//If you want to use parameters to calculate another parameter, you
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//If you want to use parameters to calculate another parameter, you
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//need to check that the parameter is valid (set in this event)!
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//need to check that the parameter is valid (set in this event)!
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//Note subsequent calculations no longer need randomization.
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if(delayFLTime.IsValid() && delayFRTime.IsValid())
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if(delayFLTime.IsValid() && delayFRTime.IsValid())
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x1.SetValue((delayFLTime.GetValue() - delayFRTime.GetValue())*0.5*0.4762);
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x1.SetValue((delayFLTime.GetValue() - delayFRTime.GetValue())*0.5*0.4762);
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@ -105,7 +105,6 @@ target_sources(Specter PRIVATE
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Specter/Physics/Daqromancy/DYOnlineSource.cpp
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Specter/Physics/Daqromancy/DYOnlineSource.cpp
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Specter/Utils/Functions.h
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Specter/Utils/Functions.h
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Specter/Utils/Functions.cpp
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Specter/Utils/Functions.cpp
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Specter/Utils/RandomGenerator.h
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)
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)
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#ImPlot sources
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#ImPlot sources
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@ -35,6 +35,5 @@
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#include "Specter/Utils/TestServerLayer.h"
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#include "Specter/Utils/TestServerLayer.h"
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#include "Specter/Utils/Instrumentor.h"
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#include "Specter/Utils/Instrumentor.h"
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#include "Specter/Utils/Functions.h"
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#include "Specter/Utils/Functions.h"
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#include "Specter/Utils/RandomGenerator.h"
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#endif
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#endif
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@ -1,64 +0,0 @@
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/*
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RandomGenerator.h
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Thread-safe implementation of stl random number generator library. A single Mersenne-Twister generator is created for
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each thread. The paramters for the distributions are passed in to the function call, and a random number is calculated
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for the requested distribution. Note that distributions are templated so that one can specify the type of distributions,
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but most distributions only support a limited range of types. The valid types are commented for each case.
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Oct 2022 -- GWM
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*/
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#ifndef RANDOM_GENERATOR_H
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#define RANDOM_GENERATOR_H
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#include <random>
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namespace Specter {
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class RandomGenerator
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{
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public:
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//Valid for float, double, long double
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template<typename T>
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static T GetUniformReal(T min, T max)
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{
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std::uniform_real_distribution<T> distribution(min, max);
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return distribution(GetGenerator());
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}
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//Valid for any integer type (signed or unsigned)
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template<typename T>
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static T GetUniformInt(T min, T max)
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{
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std::uniform_int_distribution<T> distribution(min, max);
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return distribution(GetGenerator());
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}
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//Valid for float, double, long double
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template<typename T>
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static T GetNormal(T mean, T sigma)
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{
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std::normal_distribution<T> distribution(mean, sigma);
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return distribution(GetGenerator());
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}
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//This is the most common use case, so we eliminate recreation of distribution, templating.
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//For randomization of decimals in conversion from integer -> floating point for histograming
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static double GetUniformFraction()
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{
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static std::uniform_real_distribution<double> distribution(0.0, 1.0);
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return distribution(GetGenerator());
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}
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private:
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static std::mt19937& GetGenerator()
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{
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static thread_local std::mt19937 generator((std::random_device())());
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return generator;
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}
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};
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}
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#endif
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