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Copy pathModeAHDC.java
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368 lines (331 loc) · 14.3 KB
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//import ftouchte.Pulse;
import java.util.List;
import java.util.ArrayList;
/*public class Test {
public static void main(String[] args) {
short[] samples = {1,2,3,4,5,6,7,6,5,4,3,2,1};
//short[] samples = {1,2,3,4,5,6,4095,4095,4095,4095,4095,4,3,2,1};
System.out.println("=====> Test ModeAHDC");
ModeAHDC H = new ModeAHDC();
//System.out.println("samples : " + samples.toString());
System.out.println("=====> Setting parameters");
short adcOffset = 0;
if (samples.length > 5) {
for (int bin=0; bin<5; ++bin)
adcOffset += samples[bin];
}
adcOffset = Integer.valueOf(adcOffset / 5).shortValue();
adcOffset = 0;
H.adcOffset = adcOffset; // adc
H.samplingTime = 1; // ns // 44 ns
H.sparseSample = 0;
H.timeStamp = 0;
H.fineTimeStampResolution = 0;
H.amplitudeFractionCFA = 0.5f;
H.binDelayCFD = 5;
H.fractionCFD = 0.3f;
System.out.println("adcOffset = " + H.adcOffset + " adc");
System.out.println("samplingTime = " + H.samplingTime + " ns");
System.out.println("sparseSample = " + H.sparseSample);
//System.out.println("binOffset = " + H.binOffset);
System.out.println("timeStample = " + H.timeStamp);
System.out.println("fineTimeStampleResolution = " + H.fineTimeStampResolution);
System.out.println("=====> Application of the ModeAHDC");
List<Pulse> pulses = H.extract(samples);
//System.out.println("binMax = " + pulses.get(0).binMax);
System.out.println("adcMax = " + pulses.get(0).adcMax);
System.out.println("integral = " + pulses.get(0).integral);
System.out.println("timeMax = " + pulses.get(0).time + " ns");
System.out.println("timestamp = " + pulses.get(0).timestamp);
System.out.println("timeRiseCFA = " + pulses.get(0).timeRiseCFA + " ns");
System.out.println("timeFallCFA = " + pulses.get(0).timeFallCFA + " ns");
System.out.println("timeOverThreshold = " + pulses.get(0).timeOverThresholdCFA + " ns");
System.out.println("timeCFD = " + pulses.get(0).timeCFD + " ns");
System.out.println(pulses.get(0));
}
}*/
/**
* A new extraction method dedicated to the AHDC signal waveform
*
* Some blocks of code are inspired by MVTFitter.java
*
* @author ftouchte
*/
public class ModeAHDC {
// Settings parameters (they can be initialised by a CCDB)
public float samplingTime;
public int sparseSample;
public short adcOffset;
public long timeStamp;
public float fineTimeStampResolution;
public static final short ADC_LIMIT = 4095; // 2^12-1
public float amplitudeFractionCFA;
public int binDelayCFD;
public float fractionCFD;
// Calculation intermediaries
private int binMax; //Bin of the max ADC over the pulse
private int binOffset; //Offset due to sparse sample
private float adcMax; //Max value of ADC over the pulse (fitted)
private float timeMax; //Time of the max ADC over the pulse (fitted)
private float integral; //Sum of ADCs over the pulse (not fitted)
private long timestamp;
private short[] samplesCorr; //Waveform after offset (pedestal) correction
private int binNumber; //Number of bins in one waveform
private float timeRiseCFA; // moment when the signal reaches a Constant Fraction of its Amplitude uphill (fitted)
private float timeFallCFA; // moment when the signal reaches a Constant Fraction of its Amplitude downhill (fitted)
private float timeOverThresholdCFA; // is equal to (timeFallCFA - timeRiseCFA)
private float timeCFD; // time extracted using the Constant Fraction Discriminator (CFD) algorithm (fitted)
/**
* This method extracts relevant informations from the digitized signal
* (the samples) and store them in a Pulse
*
* @param pars CCDB row
* @param id link to row in source bank
* @param samples ADC samples
*/
//@Override
public List<Pulse> extract(short... samples){
waveformCorrection(samples,adcOffset,samplingTime,sparseSample);
fitAverage(samplingTime);
computeTimeAtConstantFractionAmplitude(samplingTime,amplitudeFractionCFA);
computeTimeUsingConstantFractionDiscriminator(samplingTime,fractionCFD,binDelayCFD);
fineTimeStampCorrection(timeStamp,fineTimeStampResolution);
// output
Pulse pulse = new Pulse();
pulse.adcMax = adcMax;
pulse.time = timeMax;
pulse.timestamp = timestamp;
pulse.integral = integral;
pulse.timeRiseCFA = timeRiseCFA;
pulse.timeFallCFA = timeFallCFA;
pulse.timeOverThresholdCFA = timeOverThresholdCFA;
pulse.timeCFD = timeCFD;
//pulse.binMax = binMax;
//pulse.binOffset = binOffset;
pulse.pedestal = adcOffset;
List<Pulse> output = new ArrayList<>();
output.add(pulse);
return output;
}
/**
* This method subtracts the pedestal (noise) from samples and stores it in : samplesCorr
* It also computes a first value for : adcMax, binMax, timeMax and integral
* This code is inspired by the one of MVTFitter.java
* @param samples ADC samples
* @param adcOffset pedestal or noise level
* @param samplingTime time between two adc bins
* @param sparseSample used to define binOffset
*/
private void waveformCorrection(short[] samples, short adcOffset, float samplingTime, int sparseSample){
binNumber = samples.length;
binMax = 0;
adcMax = (short) (samples[0] - adcOffset);
integral = 0;
samplesCorr = new short[binNumber];
for (int bin = 0; bin < binNumber; bin++){
samplesCorr[bin] = (short) (samples[bin] - adcOffset);
if (adcMax < samplesCorr[bin]){
adcMax = samplesCorr[bin];
binMax = bin;
}
integral += samplesCorr[bin];
}
/**
* If adcMax == ADC_LIMIT, that means there is saturation
* In that case, binMax is the middle of the first plateau
* This convention can be changed
*/
if ((short) adcMax == ADC_LIMIT) {
int binMax2 = binMax;
for (int bin = binMax; bin < binNumber; bin++){
if (samplesCorr[bin] == ADC_LIMIT) {
binMax2 = bin;
}
else {
break;
}
}
binMax = (binMax + binMax2)/2;
}
binOffset = sparseSample*binMax;
timeMax = (binMax + binOffset)*samplingTime;
}
/**
* This method gives a more precise value of the max of the waveform by computing the average of five points around the binMax
* It is an alternative to fitParabolic()
* The suitability of one of these fits can be the subject of a study
* Remark : This method updates adcMax but doesn't change timeMax
* @param samplingTime time between 2 ADC bins
*/
private void fitAverage(float samplingTime){
if ((binMax - 2 >= 0) && (binMax + 2 <= binNumber - 1)){
adcMax = 0;
for (int bin = binMax - 2; bin <= binMax + 2; bin++){
adcMax += samplesCorr[bin];
}
adcMax = adcMax/5;
}
}
/**
* Fit the max of the pulse using parabolic fit, this method updates the timeMax and adcMax values
* @param samplingTime time between 2 ADC bins
*/
private void fitParabolic(float samplingTime) {
}
/**
* From MVTFitter.java
* Make fine timestamp correction (using dream (=electronic chip) clock)
* @param timeStamp timing informations (used to make fine corrections)
* @param fineTimeStampResolution precision of dream clock (usually 8)
*/
private void fineTimeStampCorrection (long timeStamp, float fineTimeStampResolution) {
this.timestamp = timeStamp;
String binaryTimeStamp = Long.toBinaryString(timeStamp); //get 64 bit timestamp in binary format
if (binaryTimeStamp.length()>=3){
byte fineTimeStamp = Byte.parseByte(binaryTimeStamp.substring(binaryTimeStamp.length()-3,binaryTimeStamp.length()),2); //fineTimeStamp : keep and convert last 3 bits of binary timestamp
timeMax += (float) ((fineTimeStamp+0.5) * fineTimeStampResolution); //fineTimeStampCorrection
// Question : I wonder if I have to do the same thing of all time quantities that the extract() methods compute.
}
}
/**
* This method determines the moment when the signal reaches a Constant Fraction of its Amplitude (i.e fraction*adcMax)
* It fills the attributs : timeRiseCFA, timeFallCFA, timeOverThresholdCFA
* @param samplingTime time between 2 ADC bins
* @param amplitudeFraction amplitude fraction between 0 and 1
*/
private void computeTimeAtConstantFractionAmplitude(float samplingTime, float amplitudeFractionCFA){
float threshold = amplitudeFractionCFA*adcMax;
// timeRiseCFA
int binRise = 0;
for (int bin = 0; bin < binMax; bin++){
if (samplesCorr[bin] < threshold)
binRise = bin; // last pass below threshold and before adcMax
} // at this stage : binRise < timeRiseCFA/samplingTime <= binRise + 1 // timeRiseCFA is determined by assuming a linear fit between binRise and binRise + 1
float slopeRise = 0;
if (binRise + 1 <= binNumber-1)
slopeRise = samplesCorr[binRise+1] - samplesCorr[binRise];
float fittedBinRise = (slopeRise == 0) ? binRise : binRise + (threshold - samplesCorr[binRise])/slopeRise;
timeRiseCFA = (fittedBinRise + binOffset)*samplingTime; // binOffset is determined in wavefromCorrection() // must be the same for all time ? // or must be defined using fittedBinRise*sparseSample
// timeFallCFA
int binFall = binMax;
for (int bin = binMax; bin < binNumber; bin++){
if (samplesCorr[bin] > threshold){
binFall = bin;
}
else {
binFall = bin;
break; // first pass below the threshold
}
} // at this stage : binFall - 1 <= timeRiseCFA/samplingTime < binFall // timeFallCFA is determined by assuming a linear fit between binFall - 1 and binFall
float slopeFall = 0;
if (binFall - 1 >= 0)
slopeFall = samplesCorr[binFall] - samplesCorr[binFall-1];
float fittedBinFall = (slopeFall == 0) ? binFall : binFall + (threshold - samplesCorr[binFall-1])/slopeFall;
timeFallCFA = (fittedBinFall + binOffset)*samplingTime;
// timeOverThreshold
timeOverThresholdCFA = timeFallCFA - timeRiseCFA;
}
/**
* This methods extracts a time using the Constant Fraction Discriminator (CFD) algorithm
* It fills the attribut : timeCFD
* @param samplingTime time between 2 ADC bins
* @param fractionCFD CFD fraction parameter between 0 and 1
* @param binDelayCFD CFD delay parameter
*/
private void computeTimeUsingConstantFractionDiscriminator(float samplingTime, float fractionCFD, int binDelayCFD){
float[] signal = new float[binNumber];
// signal generation
for (int bin = 0; bin < binNumber; bin++){
signal[bin] = (1 - fractionCFD)*samplesCorr[bin]; // we fill it with a fraction of the original signal
if (bin < binNumber - binDelayCFD)
signal[bin] += -1*fractionCFD*samplesCorr[bin + binDelayCFD]; // we advance and invert a complementary fraction of the original signal and superimpose it to the previous signal
}
// determine the two humps
int binHumpSup = 0;
int binHumpInf = 0;
for (int bin = 0; bin < binNumber; bin++){
if (signal[bin] > signal[binHumpSup])
binHumpSup = bin;
}
for (int bin = 0; bin < binHumpSup; bin++){ // this loop has been added to be sure : binHumpInf < binHumpSup
if (signal[bin] < signal[binHumpInf])
binHumpInf = bin;
}
// research for zero
int binZero = 0;
for (int bin = binHumpInf; bin <= binHumpSup; bin++){
if (signal[bin] < 0)
binZero = bin; // last pass below zero
} // at this stage : binZero < timeCFD/samplingTime <= binZero + 1 // timeCFD is determined by assuming a linear fit between binZero and binZero + 1
float slopeCFD = 0;
if (binZero + 1 <= binNumber)
slopeCFD = signal[binZero+1] - signal[binZero];
float fittedBinZero = (slopeCFD == 0) ? binZero : binZero + (0 - signal[binZero])/slopeCFD;
timeCFD = (fittedBinZero + binOffset)*samplingTime;
}
public static void main(String[] args) {
short[] samples = {1,2,3,4,5,6,7,6,5,4,3,2,1};
//short[] samples = {1,2,3,4,5,6,4095,4095,4095,4095,4095,4,3,2,1};
System.out.println("=====> Test ModeAHDC");
ModeAHDC H = new ModeAHDC();
//System.out.println("samples : " + samples.toString());
System.out.println("=====> Setting parameters");
short adcOffset = 0;
if (samples.length > 5) {
for (int bin=0; bin<5; ++bin)
adcOffset += samples[bin];
}
adcOffset = Integer.valueOf(adcOffset / 5).shortValue();
adcOffset = 0;
H.adcOffset = adcOffset; // adc
H.samplingTime = 1; // ns // 44 ns
H.sparseSample = 0;
H.timeStamp = 0;
H.fineTimeStampResolution = 0;
H.amplitudeFractionCFA = 0.5f;
H.binDelayCFD = 5;
H.fractionCFD = 0.3f;
System.out.println("adcOffset = " + H.adcOffset + " adc");
System.out.println("samplingTime = " + H.samplingTime + " ns");
System.out.println("sparseSample = " + H.sparseSample);
//System.out.println("binOffset = " + H.binOffset);
System.out.println("timeStample = " + H.timeStamp);
System.out.println("fineTimeStampleResolution = " + H.fineTimeStampResolution);
System.out.println("=====> Application of the ModeAHDC");
List<Pulse> pulses = H.extract(samples);
//System.out.println("binMax = " + pulses.get(0).binMax);
System.out.println("adcMax = " + pulses.get(0).adcMax);
System.out.println("integral = " + pulses.get(0).integral);
System.out.println("timeMax = " + pulses.get(0).time + " ns");
System.out.println("timestamp = " + pulses.get(0).timestamp);
System.out.println("timeRiseCFA = " + pulses.get(0).timeRiseCFA + " ns");
System.out.println("timeFallCFA = " + pulses.get(0).timeFallCFA + " ns");
System.out.println("timeOverThreshold = " + pulses.get(0).timeOverThresholdCFA + " ns");
System.out.println("timeCFD = " + pulses.get(0).timeCFD + " ns");
System.out.println(pulses.get(0));
}
}
/*public class Pulse {
public long timestamp;
public float integral;
public float time;
public float pedestal;
public float adcMax;
public float timeRiseCFA;
public float timeFallCFA;
public float timeOverThresholdCFA;
public float timeCFD;
//Units are the same as the raw units of the samples.
//@param integral pulse integral, pedestal-subtracted
//@param time pulse time
public Pulse(float integral, float time) {
this.integral = integral;
this.time = time;
}
public Pulse(){}
@Override
public String toString() {
return String.format("pulse: integral=%f time=%f",
integral, time);
}
}*/
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