Author: [log in to unmask]
Date: Sun Oct 25 16:13:40 2015
New Revision: 3888
Log:
Some changes to LED stuff
Modified:
java/trunk/monitoring-drivers/src/main/java/org/hps/monitoring/ecal/plots/EcalEventDisplay.java
java/trunk/monitoring-drivers/src/main/java/org/hps/monitoring/ecal/plots/EcalLedSequenceMonitor.java
Modified: java/trunk/monitoring-drivers/src/main/java/org/hps/monitoring/ecal/plots/EcalEventDisplay.java
=============================================================================
--- java/trunk/monitoring-drivers/src/main/java/org/hps/monitoring/ecal/plots/EcalEventDisplay.java (original)
+++ java/trunk/monitoring-drivers/src/main/java/org/hps/monitoring/ecal/plots/EcalEventDisplay.java Sun Oct 25 16:13:40 2015
@@ -322,19 +322,28 @@
}
});
// Comment this out for now. It is causing problems. --JM
- /*
- * int row,column; String hName; //System.out.println("EcalEventDisplay endOfData clear histograms"); for(int ii
- * = 0; ii < NUM_CHANNELS; ii++) { // The above instruction is a terrible hack, just to fill // the arrayList
- * with all the elements. They'll be initialized // properly during the event readout, Since we want to account
- * // for possibly different raw waveform dimensions! //Get the x and y indices for the current channel. row =
- * EcalMonitoringUtilities.getRowFromHistoID(ii); column = EcalMonitoringUtilities.getColumnFromHistoID(ii);
- * hName=detectorName + " : " + inputCollection + " : Hit Energy : " + column + " " + row + ": " + ii;
- * aida.tree().rm(hName); hName=detectorName + " : " + inputCollection + " : Hit Time : " + column + " " + row +
- * ": " + ii; aida.tree().rm(hName); hName=detectorName+ " : " + inputCollection + " : Hit Time Vs Energy : " +
- * column + " " + row + ": " + ii; aida.tree().rm(hName); if (isFirstRaw[ii]==false){ hName=detectorName+ " : "
- * + inputCollectionRaw + " : Raw Waveform : " + column + " " + row + ": " + ii; aida.tree().rm(hName); } }
- */
- // System.out.println("EcalEventDisplay endOfData clear histograms done");
+
+ int row,column;
+ String hName;
+ System.out.println("EcalEventDisplay endOfData clear histograms");
+ for(int ii = 0; ii < NUM_CHANNELS; ii++) {
+ row=EcalMonitoringUtilities.getRowFromHistoID(ii);
+ column = EcalMonitoringUtilities.getColumnFromHistoID(ii);
+ hName=detectorName + " : " + inputCollection + " : Hit Energy : " + column + " " + row + ": " + ii;
+ aida.tree().rm(hName);
+ hName=detectorName + " : " + inputCollection + " : Hit Time : " + column + " " + row +": " + ii;
+ aida.tree().rm(hName);
+ hName=detectorName+ " : " + inputCollection + " : Hit Time Vs Energy : " + column + " " + row + ": " + ii;
+ aida.tree().rm(hName);
+ hName=detectorName + " : " + inputCollection +" : Cluster Energy : " + column + " " + row + ": " + ii;
+ aida.tree().rm(hName);
+
+
+ if (isFirstRaw[ii]==false) {
+ hName=detectorName+ " : " + inputCollectionRaw + " : Raw Waveform : " + column + " " + row + ": " + ii; aida.tree().rm(hName);
+ }
+ }
+ System.out.println("EcalEventDisplay endOfData clear histograms done");
}
@Override
Modified: java/trunk/monitoring-drivers/src/main/java/org/hps/monitoring/ecal/plots/EcalLedSequenceMonitor.java
=============================================================================
--- java/trunk/monitoring-drivers/src/main/java/org/hps/monitoring/ecal/plots/EcalLedSequenceMonitor.java (original)
+++ java/trunk/monitoring-drivers/src/main/java/org/hps/monitoring/ecal/plots/EcalLedSequenceMonitor.java Sun Oct 25 16:13:40 2015
@@ -1,5 +1,8 @@
package org.hps.monitoring.ecal.plots;
+import java.io.FileNotFoundException;
+import java.io.IOException;
+import java.io.PrintWriter;
import hep.aida.IEvaluator;
import hep.aida.IFitResult;
@@ -55,767 +58,794 @@
*/
public class EcalLedSequenceMonitor extends Driver{
- private static final int NUM_CHANNELS = 11 * 47;
- private static final String dbTag = "led";
- private static final String dbTableName = "ecal_led_calibrations";
- private static final int runNumberMax = 9999;
- private static final int nDrivers = 8;
- private static final int nSteps = 56;
-
- String inputCollectionRaw = "EcalReadoutHits";
- String inputCollection = "EcalCalHits";
- AIDA aida;
-
- DatabaseConditionsManager conditionsManager;
-
- private EcalChannelCollection ChannelCollection;
- private EcalLedCollection LedCollection;
- private EcalConditions ecalConditions;
-
- Map < Integer,Integer > LedTopMap; //chid (conditions) --> LED id
- Map < Integer,Integer > LedBotMap; //chid (conditions) --> LED id
-
- Map < Integer,Integer > LedTopMapInverted; //LED id --> chid (conditions)
- Map < Integer,Integer > LedBotMapInverted; //LED id --> chid (conditions)
-
- private boolean useRawEnergy=false;
-
-
-
- private int runNumber = 0;
- private int eventN = 0;
- private int id,row,column,chid,ledid,driverid;
- private int[][] LEDStep = new int[][]{
- //first 4 are the flasher1 sequence, TOP controller
- {2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,-1,-1},
- {56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111},
- {112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,-1}, //missing 135 is ok
- {168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,223},
- //second 4 are the flasher2 sequence, BOTTOM controller
- {2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,-1,-1},
- {56,57,58,59,60,61,62,63,64,65,66,67,68,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,-1}, //missing 69 is OK
- {112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167},
- {168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,223},
- };
-
- private int[] iStep = new int[nDrivers];
- private int[] nEvents = new int[NUM_CHANNELS];
- private double[] mMean = new double[NUM_CHANNELS];
- private double[] mRMS = new double[NUM_CHANNELS];
-
- private int nEventsMin=200;
- private int nMinChannelsWithEvents=350;
- private double energy,fillEnergy,fillTime;
- private double energyCut=2; //we expect very high energy from the LEDs..
- private double skipInitial=0.05;
- private double skipMin=0.3;
- private long cellID;
-
-
-
-
- //Histograms-functions-ntuples
- private ArrayList<ITuple> iTuple;
-
- private IFunction fFunction,fFunction1;
- private IProfile1D cProfile;
- private IHistogram2D hMeanCharge2D;
- private ArrayList<IHistogram1D> hCharge;
- private ArrayList<IHistogram2D> hChargeVsEvn;
- private IPlotterFactory factory;
- private IPlotter pPlotter=null;
- private IPlotter pPlotter2=null;
- private IPlotterStyle style ;
- private int[] fitStatus = new int[NUM_CHANNELS];
-
- private boolean doFullAnalysis=false;
- private boolean isMonitoringApp=false;
-
- private double[] fPars;
- private double[] fPrevPars;
- private double[] fParErrs;
- private String[] fParNames;
-
-
- private double fEvnMinDraw=0.;
- private double fEvnMaxDraw=80000.;
- private double fChargeMinDraw=0.;
- private double fChargeMaxDraw=100.;
-
- /*Components for user interaction*/
- private JDialog dialog;
- private JLabel label;
- private JFrame frame;
- private JPanel panel;
- String labelString;
- private JButton okButton,cancelButton;
- private int m_iteration=0;
- private int m_ret=0;
- static Object modalMonitor = new Object();
-
- public void setUseRawEnergy(boolean useRawEnergy) {
- this.useRawEnergy=useRawEnergy;
- }
-
- public void setEnergyCut(double energyCut) {
- this.energyCut=energyCut;
- }
- public void setSkipInitial(double skipInitial) {
- this.skipInitial=skipInitial;
- }
- public void setSkipMin(double skipMin) {
- this.skipMin=skipMin;
- }
-
- public void setEvnMinDraw(double evnMinDraw){
- this.fEvnMinDraw=evnMinDraw;
- }
- public void setEvnMaxDraw(double evnMaxDraw){
- this.fEvnMaxDraw=evnMaxDraw;
- }
- public void setChargeMinDraw(double chargeMinDraw){
- this.fChargeMinDraw=chargeMinDraw;
- }
- public void setChargeMaxDraw(double chargeMaxDraw){
- this.fChargeMaxDraw=chargeMaxDraw;
- }
-
- public void setNEventsMin(int nEeventsMin){
- this.nEventsMin=nEventsMin;
- }
-
- public void setIsMonitoringApp(boolean app){
- this.isMonitoringApp=app;
- }
-
- public void setDoFullAnalysis(boolean fullAnalysis){
- this.doFullAnalysis=fullAnalysis;
- }
-
- @Override
- protected void detectorChanged(Detector detector) {
- System.out.println("LedAnalysis::Detector changed was called");
- System.out.println(fEvnMinDraw+" "+fEvnMaxDraw);
- for (int ii=0;ii<nDrivers;ii++){
- iStep[ii]=-1;
- }
-
- // Setup conditions
-
- conditionsManager = DatabaseConditionsManager.getInstance();
-
- LedTopMap = new HashMap< Integer , Integer >(); //key: ecal channel ID. Value: led id
- LedBotMap = new HashMap< Integer , Integer >();
-
- LedTopMapInverted = new HashMap< Integer , Integer >(); //key: led id. Value: ecal channel id
- LedBotMapInverted = new HashMap< Integer , Integer >();
-
-
- ChannelCollection = conditionsManager.getCachedConditions(EcalChannelCollection.class, "ecal_channels").getCachedData();
- LedCollection = conditionsManager.getCachedConditions(EcalLedCollection.class, "ecal_leds").getCachedData();
- ecalConditions = conditionsManager.getEcalConditions();
-
- for (EcalChannel channel : ChannelCollection){
- chid = channel.getChannelId();
- for (EcalLed Led : LedCollection) {
- if (Led.getEcalChannelId()==chid){
- if (channel.getY()>0){
- LedTopMap.put( chid , Led.getLedNumber() );
- LedTopMapInverted.put( Led.getLedNumber(), chid );
- }
- else if (channel.getY()<0){
- LedBotMap.put( chid , Led.getLedNumber() );
- LedBotMapInverted.put( Led.getLedNumber(), chid );
- }
- }
- }
- }
-
-
-
- // Setup plots
- aida = AIDA.defaultInstance();
- aida.tree().cd("/");
- hMeanCharge2D = aida.histogram2D("Average LED response", 47, -23.5, 23.5, 11, -5.5, 5.5);
-
- factory= aida.analysisFactory().createPlotterFactory("Ecal Led Sequence");
- pPlotter= factory.create("Drivers");
- pPlotter.createRegions(4,2);
- if (isMonitoringApp){
- pPlotter2=factory.create("Sequence Map");
- pPlotter2.createRegions(1,1);
- pPlotter2.region(0).plot(hMeanCharge2D);
- }
- iTuple = new ArrayList<ITuple>(NUM_CHANNELS);
- hCharge = new ArrayList<IHistogram1D>(NUM_CHANNELS);
- hChargeVsEvn = new ArrayList<IHistogram2D>(nDrivers);
-
-
-
- //pPlotter2.region(0).plot(hMeanCharge2D);
-
- for (int ii=0;ii<NUM_CHANNELS;ii++){
- int row = EcalMonitoringUtilities.getRowFromHistoID(ii);
- int column = EcalMonitoringUtilities.getColumnFromHistoID(ii);
- iTuple.add(aida.analysisFactory().createTupleFactory(aida.tree()).create("nTuple"+ii,"nTuple"+ii,"int fEvn=0 , double fCharge=0.,double fTime=0.",""));
- }
-
- for (int ii=0;ii<nDrivers;ii++){
- hChargeVsEvn.add(aida.histogram2D("Driver"+ii,100,fEvnMinDraw,fEvnMaxDraw,100,fChargeMinDraw,fChargeMaxDraw));
- pPlotter.region(ii).plot( hChargeVsEvn.get(ii));
- }
-
- pPlotter.show();
- if (isMonitoringApp) pPlotter2.show();
-
- }
-
- @Override
- public void process(EventHeader event) {
- runNumber = event.getRunNumber();
- eventN++;
- if (event.hasCollection(CalorimeterHit.class, inputCollection)) {
- //List<BassRawCalorimeterHit> hits = event.get(BaseRawCalorimeterHit.class, inputCollectionRaw);
- List<CalorimeterHit> hits = event.get(CalorimeterHit.class, inputCollection);
- for (CalorimeterHit hit : hits) {
-
- column = hit.getIdentifierFieldValue("ix");
- row = hit.getIdentifierFieldValue("iy");
- id = EcalMonitoringUtilities.getHistoIDFromRowColumn(row, column);
- cellID=hit.getCellID();
- chid = ChannelCollection.findGeometric(cellID).getChannelId();
-
- energy = hit.getCorrectedEnergy();
- if (useRawEnergy){
- fillEnergy = getRawADCSum(energy,cellID);
- }
- else {
- fillEnergy = energy;
- }
- fillTime = hit.getTime();
-
-
- //find the LED
- if (row>0){
- ledid=LedTopMap.get(chid);
- }
- else if (row<0){
- ledid=LedBotMap.get(chid);
- }
- driverid=getDriver(ledid);
- if (row<0) driverid+=4;
-
-
-
- /*Skip the events under thr*/
- if (energy<energyCut) continue;
-
- /*First, check if this led is the one in the NEXT step. Therefore, increment by 1 the step*/
- if (iStep[driverid]<(nSteps-1)){
- if (ledid==LEDStep[driverid][iStep[driverid]+1]){
- iStep[driverid]++;
- System.out.println("LedAnalysis:: increment step ("+iStep[driverid]+") for driver "+driverid+" . Led ID: "+ledid+" Column: "+column+" Row: "+row);
- if (iStep[driverid]>0) drawProfiles(LEDStep[driverid][iStep[driverid]-1],driverid);
- }
- }
-
-
- if (iStep[driverid]==-1) continue;
-
- /*Put this code here, since we want to always fill the ntuple*/
- iTuple.get(id).fill(0,nEvents[id]);
- iTuple.get(id).fill(1,fillEnergy);
- iTuple.get(id).fill(2,fillTime);
- iTuple.get(id).addRow();
- nEvents[id]++;
-
- /*Case 1: this led is the one in the corresponding step*/;
- if (ledid==LEDStep[driverid][iStep[driverid]]){
-
- }
- else{ /*Case 2: this led is not one in the corresponding step (but maybe is the neighborhood??Ctalk??)*/;
-
- }
-
- /*Add a debug print */
- if (eventN % 10000==0){
- System.out.println("Debug. LED ID: "+ledid+" DRIVER ID: "+driverid+" ECAL ID: "+id+" ROW: "+row+" COLUMN: "+column+ "HISTO ID: "+id);
- }
- }
- if (eventN % 10000==0){
- System.out.println("\n");
- }
- }
- }
-
- /*
- * The endOfData() method analises each ntuple to find the LED response.
- * We cannot simply fit a gaussian to the energy distribution, since there is a high-energy tail due to the LED being turned on:
- * When the LED turns on, it is "cold", and emits more light. Immediately, it starts to heat, and due to temperature effects the
- * emitted light is less. This is clearly visible if one plots the charge VS the event number: the trend is decreasing, toward a
- * plateau, that corresponds to the value at thermal equilibrium.
- *
- * For (few) channels, the first charge values are close to 0, then charge grows rapidly, then it returns back to the plateau.
- * To handle these, I always cut the first 10% events
- * To properly handle this:
- *
- * 1) First create a profile histogram, charge VS event number.
- * 2) Fit it with something like "A*exp(-event_number/N0)+C. The function does not need to be extra-accurate at this stage
- * 3) Cut the events with event_number < 5*N0.
- * 4) Fit the remaining events with a gaussian.
- */
- @Override
- public void endOfData() {
- System.out.println("LedAnalysis::end of data");
- System.out.println("LedAnalysis:: nEventsMin is: "+nEventsMin);
-
- double e,eMin,eMax;
- double t;
- int n,nBins,nFits,nSkip;
-
-
- IFunctionFactory fFactory=aida.analysisFactory().createFunctionFactory(aida.tree());
-
- IFitResult fResult;
- IFitter fFitter;
-
- for (int id = 0; id < 11 * 47; id++) {
-
- eMin=9999;
- eMax=-9999;
- row = EcalMonitoringUtilities.getRowFromHistoID(id);
- column = EcalMonitoringUtilities.getColumnFromHistoID(id);
- System.out.println("");
- System.out.println("Doing channel: X= "+column+" Y= "+row);
- System.out.println("Number of entries in analysis ntuple: "+iTuple.get(id).rows());
- System.out.println("Number of recognized events: "+nEvents[id]);
- /*Create the profile. Create it for all the channels, to keep sync.*/
- nBins=nEvents[id]/100;
- if (nBins<=0) nBins=1;
-
- /*Clear previous*/
-
- if (id>0){
- aida.tree().rm("strip");
- aida.tree().rm("fun0");
- aida.tree().rm("fun1");
- }
- /*Create the profile.*/
- cProfile=aida.profile1D("strip",nBins,-0.5,nEvents[id]*(1-skipInitial)+0.5);
- cProfile.reset();
- /*Create the function for the profile fit and the gaus fit*/
- fFunction=fFactory.createFunctionFromScript("fun0",1,"A*exp(-x[0]/tau)+B","A,tau,B","",null);
- fFunction1=fFactory.createFunctionByName("fun1","G");
-
- if (EcalMonitoringUtilities.isInHole(row,column)==true){
- System.out.println("Channel X= "+column+" Y= "+row+" is in hole. Skip");
- hCharge.add(aida.histogram1D("charge_"+id,200,0.,1.)); //create here the histogram to keep sync
- System.out.println("In hole, skip");
- continue;
- }
- else if (nEvents[id]<nEventsMin) {
- hCharge.add(aida.histogram1D("charge_"+id,200,0.,1.)); //create here the histogram to keep sync
- System.err.println("LedAnalysis:: the channel X= "+column+" Y= "+row+" has not enough events "+nEvents[id]+" "+nEventsMin);
-
- continue;
- }
-
- //Fill the profile*/
- nSkip=(int)(nEvents[id]*skipInitial);
- if (nSkip>iTuple.get(id).rows()){
- System.out.println("Can't skip initial events?");
- nSkip=0;
- }
- iTuple.get(id).start();
- iTuple.get(id).skip(nSkip); //This is the work-around for those channels with charge starting from 0 and rapidly growing//
- n=0;
- iTuple.get(id).next();
- while ( iTuple.get(id).next() ){
- e=iTuple.get(id).getDouble(1);
- if (e<eMin) eMin=e;
- if (e>eMax) eMax=e;
- cProfile.fill(1.*n,e);
- n++;
- }
- fFitter=aida.analysisFactory().createFitFactory().createFitter("chi2","","v");
-
- if (doFullAnalysis){
- //Init function parameters
- double[] initialPars={eMax-eMin,nEvents[id]/10.,eMin};
- if (initialPars[0]<0) initialPars[0]=0;
- fFunction.setParameters(initialPars);
-
- //Do the fit
- System.out.println("LedAnalysis:: do profile fit "+id+" "+fFitter.engineName()+" "+fFitter.fitMethodName());
- System.out.println("LedAnalysis:: initial parameters "+initialPars[0]+" "+initialPars[1]+" "+initialPars[2]);
- fResult=fFitter.fit(cProfile,fFunction);
- fPars = fResult.fittedParameters();
- fParErrs = fResult.errors();
- fParNames = fResult.fittedParameterNames();
- System.out.println("LedAnalysis:: Status= "+fResult.fitStatus()+" "+fResult.isValid()+" Chi2 = "+fResult.quality()+" NDF: "+fResult.ndf());
- for(int i=0; i< fResult.fittedFunction().numberOfParameters(); i++ ){
- System.out.println(fParNames[i]+" : "+fPars[i]+" +- "+fParErrs[i]);
- }
- fFunction.setParameters(fPars);
-
-
- //Do again the fit: it is a terrible work-around
- nFits=0;
- if (Double.isNaN(fParErrs[1])){
- fPars=fPrevPars;
- }
- while (Double.isNaN(fParErrs[1])){
- System.out.println("LedAnalysis:: redo fit");
- fFunction.setParameters(fPars);
- fResult=fFitter.fit(cProfile,fFunction);
- fPars = fResult.fittedParameters();
- fParErrs = fResult.errors();
- System.out.println("LedAnalysis:: Status= "+fResult.fitStatus()+" "+fResult.isValid()+" Chi2 = "+fResult.quality()+" NDF: "+fResult.ndf());
- for(int i=0; i< fResult.fittedFunction().numberOfParameters(); i++ ){
- System.out.println(fParNames[i]+" : "+fPars[i]+" +- "+fParErrs[i]);
- }
- fFunction.setParameters(fPars);
- nFits++;
- if (nFits>=10){
- System.out.println("LedAnalysis:: Error, too many fits without convergence");
- break;
- }
- }
- fPrevPars=Arrays.copyOf(fPars,fPars.length);
- System.out.println("LedAnalysis:: fit "+id+" done");
-
- //Now we have the tau parameter. Take ONLY the events that are with N>5*tau/
- //As a cross-check, also verify that tau > Nevents/10, otherwise skip the first Nevents/2
- //and emit warning
- nSkip=(int)( fPars[1]*5);
- if (nSkip < (nEvents[id]*skipMin)){
- System.out.println("LedAnalysis:: Skip number too low: "+nSkip+" Increment it to "+nEvents[id]/2);
- nSkip=(int)(nEvents[id]*skipMin);
- }
- if (nSkip > nEvents[id]){
- System.out.println("LedAnalysis:: Skip number too high, reduce it");
- nSkip=(int)(nEvents[id]*skipMin);
- }
-
- }
- else{
- nSkip=(int)(nEvents[id]*(skipMin+skipInitial));
- }
-
- System.out.println("LedAnalysis:: gaus fit :: Going to skip "+nSkip+" out of "+nEvents[id]);
- System.out.println("eMin is: "+eMin+" eMax is: "+eMax);
- hCharge.add(aida.histogram1D("charge_"+id,200,eMin*0.9,eMax*1.1));
-
-
- iTuple.get(id).start();
- iTuple.get(id).skip(nSkip);
- n=0;
- while (iTuple.get(id).next()){
- e=iTuple.get(id).getDouble(1);
- t=iTuple.get(id).getDouble(2);
- hCharge.get(id).fill(e);
- n++;
- }
-
- /*Finally do the fit with the gaussian*/
- double[] initialPars1={hCharge.get(id).maxBinHeight(),hCharge.get(id).mean(),hCharge.get(id).rms()};
-
- System.out.println("LedAnalysis:: Gaus fit");
- System.out.println("LedAnalysis:: initial parameters "+initialPars1[0]+" "+initialPars1[1]+" "+initialPars1[2]);
-
- fFunction1.setParameters(initialPars1);
- fResult=fFitter.fit(hCharge.get(id),fFunction1);
- fPars = fResult.fittedParameters();
- fParErrs = fResult.errors();
- fParNames = fResult.fittedParameterNames();
- System.out.println("Status= "+fResult.fitStatus()+" "+fResult.isValid()+" Chi2 = "+fResult.quality()+" NDF: "+fResult.ndf());
- for(int i=0; i< fResult.fittedFunction().numberOfParameters(); i++ ){
- System.out.println(fParNames[i]+" : "+fPars[i]+" +- "+fParErrs[i]);
- }
- fFunction1.setParameters(fPars);
- mMean[id]=fPars[1];
- mRMS[id]=fPars[2];
-
- hMeanCharge2D.fill(column,row,mMean[id]);
- System.out.println("\n");
- }//End loop on channels
-
-
-
- if ((pPlotter2!=null)&&(isMonitoringApp)){
- style = pPlotter2.region(0).style();
- style.setParameter("hist2DStyle", "colorMap");
- style.dataStyle().fillStyle().setParameter("colorMapScheme", "rainbow");
- style.dataStyle().fillStyle().setParameter("showZeroHeightBins", Boolean.FALSE.toString());
- pPlotter2.region(0).plot(hMeanCharge2D);
- pPlotter2.region(0).refresh();
- }
- else{
- IPlotterStyle pstyle = aida.analysisFactory().createPlotterFactory().createPlotterStyle();
- pPlotter2 = null;
- pPlotter2 = aida.analysisFactory().createPlotterFactory().create();
- pstyle.dataStyle().fillStyle().setParameter("colorMapScheme", "rainbow");
- pstyle.dataStyle().fillStyle().setParameter("showZeroHeightBins", Boolean.FALSE.toString());
- pstyle.setParameter("hist2DStyle", "colorMap");
- if (pPlotter2!=null){
- pPlotter2.createRegion().plot(hMeanCharge2D,pstyle);
- pPlotter2.show();
- }
- }
-
-
-
-
- /*
- Console cc = System.console();
- if (cc == null) {
- System.err.println("No console.");
- }
- else{
- String userInput="";
- System.out.println("Enter 'YES' - case sensitive - to write conditions database for run range "+runNumber+" - "+runNumberMax);
- System.out.println("Use the monitoring app (Led sequence - Sequence Map) to look at the current sequence");
- userInput=cc.readLine(String.format("Your choice: YES or NO?"));
- System.out.println("***********"+userInput+"********");
- if (userInput!=null && userInput.equals("YES")) {
- userInput=cc.readLine("Really?");
- if (userInput!=null && userInput.equals("YES")) {
- m_ret=1;
- }
- }
-
- }*/
- askUploadToDBDialog();
- synchronized (modalMonitor) {
- try{
- modalMonitor.wait(120000); //wait 2 minutes for user interaction.
- }
- catch(InterruptedException excp){
- System.out.println("Got exception: "+excp);
- }
- }
- if (m_ret==1){
- System.out.println("OK, upload to DB");
- try {
- uploadToDB();
- } catch (SQLException | DatabaseObjectException | ConditionsObjectException error) {
- throw new RuntimeException("Error uploading to the database.", error);
- }
- if (isMonitoringApp){
- System.out.println("Save an Elog too");
- uploadToElog();
- }
- }
- System.out.println("endOfData end");
- System.out.println("The program is not stucked. It is writing the output AIDA file, this takes time!");
- }/*End endOfData*/
-
-
- /**
- * This function returns the driver number (from 0 to 3) given the LED id.
- * @param led
- * @return
- */
- public int getDriver(int led){
- int ret=-1;
- if ((led>=2)&&(led<56)) ret=0;
- else if ((led>=56)&&(led<112)) ret=1;
- else if ((led>=112)&&(led<168)) ret=2;
- else if ((led>=168)&&(led<224)) ret=3;
- return ret;
- }
-
- /**
- * Very simple method to retreive the pedestal-subtracted raw Energy.
- * If the gain changes (because we do a re-calibration), I do not want to include this in the LED analysis
- * @param energy
- * @param cellID
- * @return
- */
- public double getRawADCSum(double energy,long cellID){
- EcalChannelConstants channelData = ecalConditions.getChannelConstants(ecalConditions.getChannelCollection().findGeometric(cellID));
- double RawSum=energy / EcalUtils.GeV;
- double gain=channelData.getGain().getGain();
- double ret=RawSum/gain;
- // System.out.println("A:C "+RawSum+" "+ret);
-
- return ret;
-
- }
-
- private void uploadToDB() throws DatabaseObjectException, ConditionsObjectException, SQLException {
- int x,y,id;
- double mean,rms;
- System.out.println(String.format("Uploading new led data to the database, runMin=%d, runMax=%d, tag=%s ....",
- runNumber,runNumberMax,dbTag));
-
- EcalLedCalibrationCollection led_calibrations = new EcalLedCalibrationCollection();
-
- TableMetaData tableMetaData = conditionsManager.findTableMetaData(dbTableName);
- led_calibrations.setTableMetaData(tableMetaData);
-
- for (int cid = 1; cid <= 442; cid++) {/*This is a loop over the channel ID, as in the conditions system*/
- EcalChannel cc = findChannel(cid);
- x = cc.getX(); //This is the column
- y = cc.getY(); //This is the row
- id=EcalMonitoringUtilities.getHistoIDFromRowColumn(y,x);
- mean=mMean[id];
- rms=mRMS[id];
- led_calibrations.add(new EcalLedCalibration(cid,mean,rms));
- }
-
- int collectionId = -1;
-
- try {
- collectionId = conditionsManager.getCollectionId(led_calibrations, "loaded by EcalLedSequenceMonitor");
- } catch (Exception e) {
- throw new RuntimeException(e);
- }
- System.err.println("CollectionID: "+collectionId);
- led_calibrations.insert();
- ConditionsRecord conditionsRecord = new ConditionsRecord(
- led_calibrations.getCollectionId(), runNumber, runNumberMax, dbTableName, dbTableName,
- "Generated by LedAnalysis from Run #"+runNumber, dbTag);
- conditionsRecord.insert();
-
- System.out.println("Upload to DB done");
- }
-
- private void uploadToElog(){
- String path,exe,command,imgpath;
- path="/home/hpsrun/LedSequenceData";
- exe=path+"/doElog.csh";
- imgpath=path+"/screenshots/"+runNumber+".png";
-
- File f=new File(path);
- if (!f.exists()){
- System.err.println("LedMonitoringSequence:: wrong path");
- return;
- }
- if (pPlotter2==null){
- System.err.println("LedMonitoringSquence:: no plotter");
- return;
- }
- try{
- pPlotter2.writeToFile(imgpath);
- }
- catch(Exception e){
- System.err.println("Exception "+e);
- }
- File f1=new File(exe);
- if (!f1.exists()){
- System.err.println("LedMonitoringSequence:: no script!");
- return;
- }
- command=exe+" "+imgpath;
- try{
- System.out.println("LedMonitoringSequence:: try this command: "+command);
- Runtime.getRuntime().exec(command);
- }
- catch(Exception e){
- System.err.println("Exception "+e);
- }
- }
-
-
- private void drawProfiles(int ledID,int driverID){
-
- int m_column,m_row,m_ledID,m_chID,m_ID,m_driverID;
-
- m_ledID = ledID;
- m_driverID = driverID;
- m_chID = 0;
-
-
- if (m_driverID<=3) m_chID = LedTopMapInverted.get(ledID);
- else m_chID = LedBotMapInverted.get(ledID);
-
- m_column=findChannel(m_chID).getX();
- m_row=findChannel(m_chID).getY();
- m_ID=EcalMonitoringUtilities.getHistoIDFromRowColumn(m_row, m_column);
- /*
+ private static final int NUM_CHANNELS = 11 * 47;
+ private static final String dbTag = "led";
+ private static final String dbTableName = "ecal_led_calibrations";
+ private static final int runNumberMax = 9999;
+ private static final int nDrivers = 8;
+ private static final int nSteps = 56;
+
+ String inputCollectionRaw = "EcalReadoutHits";
+ String inputCollection = "EcalCalHits";
+ AIDA aida;
+
+ DatabaseConditionsManager conditionsManager;
+
+ private EcalChannelCollection ChannelCollection;
+ private EcalLedCollection LedCollection;
+ private EcalConditions ecalConditions;
+
+ Map < Integer,Integer > LedTopMap; //chid (conditions) --> LED id
+ Map < Integer,Integer > LedBotMap; //chid (conditions) --> LED id
+
+ Map < Integer,Integer > LedTopMapInverted; //LED id --> chid (conditions)
+ Map < Integer,Integer > LedBotMapInverted; //LED id --> chid (conditions)
+
+ private boolean useRawEnergy=false;
+
+ String outFileName;
+
+
+ private int runNumber = 0;
+ private int eventN = 0;
+ private int id,row,column,chid,ledid,driverid;
+ private int[][] LEDStep = new int[][]{
+ //first 4 are the flasher1 sequence, TOP controller
+ {2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,-1,-1},
+ {56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111},
+ {112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,-1}, //missing 135 is ok
+ {168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,223},
+ //second 4 are the flasher2 sequence, BOTTOM controller
+ {2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,-1,-1},
+ {56,57,58,59,60,61,62,63,64,65,66,67,68,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,-1}, //missing 69 is OK
+ {112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167},
+ {168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,223},
+ };
+
+ private int[] iStep = new int[nDrivers];
+ private int[] nEvents = new int[NUM_CHANNELS];
+ private double[] mMean = new double[NUM_CHANNELS];
+ private double[] mRMS = new double[NUM_CHANNELS];
+
+ private int nEventsMin=200;
+ private int nMinChannelsWithEvents=350;
+ private double energy,fillEnergy,fillTime;
+ private double energyCut=2; //we expect very high energy from the LEDs..
+ private double skipInitial=0.05;
+ private double skipMin=0.3;
+ private long cellID;
+
+
+
+
+ //Histograms-functions-ntuples
+ private ArrayList<ITuple> iTuple;
+
+ private IFunction fFunction,fFunction1;
+ private IProfile1D cProfile;
+ private IHistogram2D hMeanCharge2D;
+ private ArrayList<IHistogram1D> hCharge;
+ private ArrayList<IHistogram2D> hChargeVsEvn;
+ private IPlotterFactory factory;
+ private IPlotter pPlotter=null;
+ private IPlotter pPlotter2=null;
+ private IPlotterStyle style ;
+ private int[] fitStatus = new int[NUM_CHANNELS];
+
+ private boolean doFullAnalysis=false;
+ private boolean isMonitoringApp=false;
+
+ private double[] fPars;
+ private double[] fPrevPars;
+ private double[] fParErrs;
+ private String[] fParNames;
+
+
+ private double fEvnMinDraw=0.;
+ private double fEvnMaxDraw=80000.;
+ private double fChargeMinDraw=0.;
+ private double fChargeMaxDraw=100.;
+
+ /*Components for user interaction*/
+ private JDialog dialog;
+ private JLabel label;
+ private JFrame frame;
+ private JPanel panel;
+ String labelString;
+ private JButton okButton,cancelButton;
+ private int m_iteration=0;
+ private int m_ret=0;
+ static Object modalMonitor = new Object();
+
+ public void setUseRawEnergy(boolean useRawEnergy) {
+ this.useRawEnergy=useRawEnergy;
+ }
+
+ public void setEnergyCut(double energyCut) {
+ this.energyCut=energyCut;
+ }
+ public void setSkipInitial(double skipInitial) {
+ this.skipInitial=skipInitial;
+ }
+ public void setSkipMin(double skipMin) {
+ this.skipMin=skipMin;
+ }
+
+ public void setEvnMinDraw(double evnMinDraw){
+ this.fEvnMinDraw=evnMinDraw;
+ }
+ public void setEvnMaxDraw(double evnMaxDraw){
+ this.fEvnMaxDraw=evnMaxDraw;
+ }
+ public void setChargeMinDraw(double chargeMinDraw){
+ this.fChargeMinDraw=chargeMinDraw;
+ }
+ public void setChargeMaxDraw(double chargeMaxDraw){
+ this.fChargeMaxDraw=chargeMaxDraw;
+ }
+
+ public void setNEventsMin(int nEeventsMin){
+ this.nEventsMin=nEventsMin;
+ }
+
+ public void setIsMonitoringApp(boolean app){
+ this.isMonitoringApp=app;
+ }
+
+ public void setDoFullAnalysis(boolean fullAnalysis){
+ this.doFullAnalysis=fullAnalysis;
+ }
+
+ @Override
+ protected void detectorChanged(Detector detector) {
+ System.out.println("LedAnalysis::Detector changed was called");
+ System.out.println(fEvnMinDraw+" "+fEvnMaxDraw);
+ for (int ii=0;ii<nDrivers;ii++){
+ iStep[ii]=-1;
+ }
+
+ // Setup conditions
+
+ conditionsManager = DatabaseConditionsManager.getInstance();
+
+ LedTopMap = new HashMap< Integer , Integer >(); //key: ecal channel ID. Value: led id
+ LedBotMap = new HashMap< Integer , Integer >();
+
+ LedTopMapInverted = new HashMap< Integer , Integer >(); //key: led id. Value: ecal channel id
+ LedBotMapInverted = new HashMap< Integer , Integer >();
+
+
+ ChannelCollection = conditionsManager.getCachedConditions(EcalChannelCollection.class, "ecal_channels").getCachedData();
+ LedCollection = conditionsManager.getCachedConditions(EcalLedCollection.class, "ecal_leds").getCachedData();
+ ecalConditions = conditionsManager.getEcalConditions();
+
+ for (EcalChannel channel : ChannelCollection){
+ chid = channel.getChannelId();
+ for (EcalLed Led : LedCollection) {
+ if (Led.getEcalChannelId()==chid){
+ if (channel.getY()>0){
+ LedTopMap.put( chid , Led.getLedNumber() );
+ LedTopMapInverted.put( Led.getLedNumber(), chid );
+ }
+ else if (channel.getY()<0){
+ LedBotMap.put( chid , Led.getLedNumber() );
+ LedBotMapInverted.put( Led.getLedNumber(), chid );
+ }
+ }
+ }
+ }
+
+
+
+ // Setup plots
+ aida = AIDA.defaultInstance();
+ aida.tree().cd("/");
+ hMeanCharge2D = aida.histogram2D("Average LED response", 47, -23.5, 23.5, 11, -5.5, 5.5);
+
+ factory= aida.analysisFactory().createPlotterFactory("Ecal Led Sequence");
+ pPlotter= factory.create("Drivers");
+ pPlotter.createRegions(4,2);
+ if (isMonitoringApp){
+ pPlotter2=factory.create("Sequence Map");
+ pPlotter2.createRegions(1,1);
+ pPlotter2.region(0).plot(hMeanCharge2D);
+ }
+ iTuple = new ArrayList<ITuple>(NUM_CHANNELS);
+ hCharge = new ArrayList<IHistogram1D>(NUM_CHANNELS);
+ hChargeVsEvn = new ArrayList<IHistogram2D>(nDrivers);
+
+
+
+ //pPlotter2.region(0).plot(hMeanCharge2D);
+
+ for (int ii=0;ii<NUM_CHANNELS;ii++){
+ int row = EcalMonitoringUtilities.getRowFromHistoID(ii);
+ int column = EcalMonitoringUtilities.getColumnFromHistoID(ii);
+ iTuple.add(aida.analysisFactory().createTupleFactory(aida.tree()).create("nTuple"+ii,"nTuple"+ii,"int fEvn=0 , double fCharge=0.,double fTime=0.",""));
+ }
+
+ for (int ii=0;ii<nDrivers;ii++){
+ hChargeVsEvn.add(aida.histogram2D("Driver"+ii,100,fEvnMinDraw,fEvnMaxDraw,100,fChargeMinDraw,fChargeMaxDraw));
+ pPlotter.region(ii).plot( hChargeVsEvn.get(ii));
+ }
+
+ pPlotter.show();
+ if (isMonitoringApp) pPlotter2.show();
+
+ }
+
+ @Override
+ public void process(EventHeader event) {
+ runNumber = event.getRunNumber();
+ eventN++;
+ if (event.hasCollection(CalorimeterHit.class, inputCollection)) {
+ //List<BassRawCalorimeterHit> hits = event.get(BaseRawCalorimeterHit.class, inputCollectionRaw);
+ List<CalorimeterHit> hits = event.get(CalorimeterHit.class, inputCollection);
+ for (CalorimeterHit hit : hits) {
+
+ column = hit.getIdentifierFieldValue("ix");
+ row = hit.getIdentifierFieldValue("iy");
+ id = EcalMonitoringUtilities.getHistoIDFromRowColumn(row, column);
+ cellID=hit.getCellID();
+ chid = ChannelCollection.findGeometric(cellID).getChannelId();
+
+ energy = hit.getCorrectedEnergy();
+ if (useRawEnergy){
+ fillEnergy = getRawADCSum(energy,cellID);
+ }
+ else {
+ fillEnergy = energy;
+ }
+ fillTime = hit.getTime();
+
+
+ //find the LED
+ if (row>0){
+ ledid=LedTopMap.get(chid);
+ }
+ else if (row<0){
+ ledid=LedBotMap.get(chid);
+ }
+ driverid=getDriver(ledid);
+ if (row<0) driverid+=4;
+
+
+
+ /*Skip the events under thr*/
+ if (energy<energyCut) continue;
+
+ /*First, check if this led is the one in the NEXT step. Therefore, increment by 1 the step*/
+ if (iStep[driverid]<(nSteps-1)){
+ if (ledid==LEDStep[driverid][iStep[driverid]+1]){
+ iStep[driverid]++;
+ System.out.println("LedAnalysis:: increment step ("+iStep[driverid]+") for driver "+driverid+" . Led ID: "+ledid+" Column: "+column+" Row: "+row);
+ if (iStep[driverid]>0) drawProfiles(LEDStep[driverid][iStep[driverid]-1],driverid);
+ }
+ }
+
+
+ if (iStep[driverid]==-1) continue;
+
+ /*Put this code here, since we want to always fill the ntuple*/
+ iTuple.get(id).fill(0,nEvents[id]);
+ iTuple.get(id).fill(1,fillEnergy);
+ iTuple.get(id).fill(2,fillTime);
+ iTuple.get(id).addRow();
+ nEvents[id]++;
+
+ /*Case 1: this led is the one in the corresponding step*/;
+ if (ledid==LEDStep[driverid][iStep[driverid]]){
+
+ }
+ else{ /*Case 2: this led is not one in the corresponding step (but maybe is the neighborhood??Ctalk??)*/;
+
+ }
+
+ /*Add a debug print */
+ if (eventN % 10000==0){
+ System.out.println("Debug. LED ID: "+ledid+" DRIVER ID: "+driverid+" ECAL ID: "+id+" ROW: "+row+" COLUMN: "+column+ "HISTO ID: "+id);
+ }
+ }
+ if (eventN % 10000==0){
+ System.out.println("\n");
+ }
+ }
+ }
+
+ /*
+ * The endOfData() method analises each ntuple to find the LED response.
+ * We cannot simply fit a gaussian to the energy distribution, since there is a high-energy tail due to the LED being turned on:
+ * When the LED turns on, it is "cold", and emits more light. Immediately, it starts to heat, and due to temperature effects the
+ * emitted light is less. This is clearly visible if one plots the charge VS the event number: the trend is decreasing, toward a
+ * plateau, that corresponds to the value at thermal equilibrium.
+ *
+ * For (few) channels, the first charge values are close to 0, then charge grows rapidly, then it returns back to the plateau.
+ * To handle these, I always cut the first 10% events
+ * To properly handle this:
+ *
+ * 1) First create a profile histogram, charge VS event number.
+ * 2) Fit it with something like "A*exp(-event_number/N0)+C. The function does not need to be extra-accurate at this stage
+ * 3) Cut the events with event_number < 5*N0.
+ * 4) Fit the remaining events with a gaussian.
+ */
+ @Override
+ public void endOfData() {
+ System.out.println("LedAnalysis::end of data");
+ System.out.println("LedAnalysis:: nEventsMin is: "+nEventsMin);
+
+ double e,eMin,eMax;
+ double t;
+ int n,nBins,nFits,nSkip;
+
+ int row, column;
+
+ String hName;
+ IFunctionFactory fFactory=aida.analysisFactory().createFunctionFactory(aida.tree());
+
+ IFitResult fResult;
+ IFitter fFitter;
+
+ for (int id = 0; id < 11 * 47; id++) {
+
+ eMin=9999;
+ eMax=-9999;
+ row = EcalMonitoringUtilities.getRowFromHistoID(id);
+ column = EcalMonitoringUtilities.getColumnFromHistoID(id);
+ System.out.println("");
+ System.out.println("Doing channel: X= "+column+" Y= "+row);
+ System.out.println("Number of entries in analysis ntuple: "+iTuple.get(id).rows());
+ System.out.println("Number of recognized events: "+nEvents[id]);
+ /*Create the profile. Create it for all the channels, to keep sync.*/
+ nBins=nEvents[id]/100;
+ if (nBins<=0) nBins=1;
+
+ /*Clear previous*/
+
+ if (id>0){
+ aida.tree().rm("strip");
+ aida.tree().rm("fun0");
+ aida.tree().rm("fun1");
+ }
+ /*Create the profile.*/
+ cProfile=aida.profile1D("strip",nBins,-0.5,nEvents[id]*(1-skipInitial)+0.5);
+ cProfile.reset();
+ /*Create the function for the profile fit and the gaus fit*/
+ fFunction=fFactory.createFunctionFromScript("fun0",1,"A*exp(-x[0]/tau)+B","A,tau,B","",null);
+ fFunction1=fFactory.createFunctionByName("fun1","G");
+
+ if (EcalMonitoringUtilities.isInHole(row,column)==true){
+ System.out.println("Channel X= "+column+" Y= "+row+" is in hole. Skip");
+ hCharge.add(aida.histogram1D("charge_"+id,200,0.,1.)); //create here the histogram to keep sync
+ System.out.println("In hole, skip");
+ continue;
+ }
+ else if (nEvents[id]<nEventsMin) {
+ hCharge.add(aida.histogram1D("charge_"+id,200,0.,1.)); //create here the histogram to keep sync
+ System.err.println("LedAnalysis:: the channel X= "+column+" Y= "+row+" has not enough events "+nEvents[id]+" "+nEventsMin);
+
+ continue;
+ }
+
+ //Fill the profile*/
+ nSkip=(int)(nEvents[id]*skipInitial);
+ if (nSkip>iTuple.get(id).rows()){
+ System.out.println("Can't skip initial events?");
+ nSkip=0;
+ }
+ iTuple.get(id).start();
+ iTuple.get(id).skip(nSkip); //This is the work-around for those channels with charge starting from 0 and rapidly growing//
+ n=0;
+ iTuple.get(id).next();
+ while ( iTuple.get(id).next() ){
+ e=iTuple.get(id).getDouble(1);
+ if (e<eMin) eMin=e;
+ if (e>eMax) eMax=e;
+ cProfile.fill(1.*n,e);
+ n++;
+ }
+ fFitter=aida.analysisFactory().createFitFactory().createFitter("chi2","","v");
+
+ if (doFullAnalysis){
+ //Init function parameters
+ double[] initialPars={eMax-eMin,nEvents[id]/10.,eMin};
+ if (initialPars[0]<0) initialPars[0]=0;
+ fFunction.setParameters(initialPars);
+
+ //Do the fit
+ System.out.println("LedAnalysis:: do profile fit "+id+" "+fFitter.engineName()+" "+fFitter.fitMethodName());
+ System.out.println("LedAnalysis:: initial parameters "+initialPars[0]+" "+initialPars[1]+" "+initialPars[2]);
+ fResult=fFitter.fit(cProfile,fFunction);
+ fPars = fResult.fittedParameters();
+ fParErrs = fResult.errors();
+ fParNames = fResult.fittedParameterNames();
+ System.out.println("LedAnalysis:: Status= "+fResult.fitStatus()+" "+fResult.isValid()+" Chi2 = "+fResult.quality()+" NDF: "+fResult.ndf());
+ for(int i=0; i< fResult.fittedFunction().numberOfParameters(); i++ ){
+ System.out.println(fParNames[i]+" : "+fPars[i]+" +- "+fParErrs[i]);
+ }
+ fFunction.setParameters(fPars);
+
+
+ //Do again the fit: it is a terrible work-around
+ nFits=0;
+ if (Double.isNaN(fParErrs[1])){
+ fPars=fPrevPars;
+ }
+ while (Double.isNaN(fParErrs[1])){
+ System.out.println("LedAnalysis:: redo fit");
+ fFunction.setParameters(fPars);
+ fResult=fFitter.fit(cProfile,fFunction);
+ fPars = fResult.fittedParameters();
+ fParErrs = fResult.errors();
+ System.out.println("LedAnalysis:: Status= "+fResult.fitStatus()+" "+fResult.isValid()+" Chi2 = "+fResult.quality()+" NDF: "+fResult.ndf());
+ for(int i=0; i< fResult.fittedFunction().numberOfParameters(); i++ ){
+ System.out.println(fParNames[i]+" : "+fPars[i]+" +- "+fParErrs[i]);
+ }
+ fFunction.setParameters(fPars);
+ nFits++;
+ if (nFits>=10){
+ System.out.println("LedAnalysis:: Error, too many fits without convergence");
+ break;
+ }
+ }
+ fPrevPars=Arrays.copyOf(fPars,fPars.length);
+ System.out.println("LedAnalysis:: fit "+id+" done");
+
+ //Now we have the tau parameter. Take ONLY the events that are with N>5*tau/
+ //As a cross-check, also verify that tau > Nevents/10, otherwise skip the first Nevents/2
+ //and emit warning
+ nSkip=(int)( fPars[1]*5);
+ if (nSkip < (nEvents[id]*skipMin)){
+ System.out.println("LedAnalysis:: Skip number too low: "+nSkip+" Increment it to "+nEvents[id]/2);
+ nSkip=(int)(nEvents[id]*skipMin);
+ }
+ if (nSkip > nEvents[id]){
+ System.out.println("LedAnalysis:: Skip number too high, reduce it");
+ nSkip=(int)(nEvents[id]*skipMin);
+ }
+
+ }
+ else{
+ nSkip=(int)(nEvents[id]*(skipMin+skipInitial));
+ }
+
+ System.out.println("LedAnalysis:: gaus fit :: Going to skip "+nSkip+" out of "+nEvents[id]);
+ System.out.println("eMin is: "+eMin+" eMax is: "+eMax);
+ hCharge.add(aida.histogram1D("charge_"+id,200,eMin*0.9,eMax*1.1));
+
+
+ iTuple.get(id).start();
+ iTuple.get(id).skip(nSkip);
+ n=0;
+ while (iTuple.get(id).next()){
+ e=iTuple.get(id).getDouble(1);
+ t=iTuple.get(id).getDouble(2);
+ hCharge.get(id).fill(e);
+ n++;
+ }
+
+ /*Finally do the fit with the gaussian*/
+ double[] initialPars1={hCharge.get(id).maxBinHeight(),hCharge.get(id).mean(),hCharge.get(id).rms()};
+
+ System.out.println("LedAnalysis:: Gaus fit");
+ System.out.println("LedAnalysis:: initial parameters "+initialPars1[0]+" "+initialPars1[1]+" "+initialPars1[2]);
+
+ fFunction1.setParameters(initialPars1);
+ fResult=fFitter.fit(hCharge.get(id),fFunction1);
+ fPars = fResult.fittedParameters();
+ fParErrs = fResult.errors();
+ fParNames = fResult.fittedParameterNames();
+ System.out.println("Status= "+fResult.fitStatus()+" "+fResult.isValid()+" Chi2 = "+fResult.quality()+" NDF: "+fResult.ndf());
+ for(int i=0; i< fResult.fittedFunction().numberOfParameters(); i++ ){
+ System.out.println(fParNames[i]+" : "+fPars[i]+" +- "+fParErrs[i]);
+ }
+ fFunction1.setParameters(fPars);
+ mMean[id]=fPars[1];
+ mRMS[id]=fPars[2];
+
+ hMeanCharge2D.fill(column,row,mMean[id]);
+ System.out.println("\n");
+ }//End loop on channels
+
+
+
+ if ((pPlotter2!=null)&&(isMonitoringApp)){
+ style = pPlotter2.region(0).style();
+ style.setParameter("hist2DStyle", "colorMap");
+ style.dataStyle().fillStyle().setParameter("colorMapScheme", "rainbow");
+ style.dataStyle().fillStyle().setParameter("showZeroHeightBins", Boolean.FALSE.toString());
+ pPlotter2.region(0).plot(hMeanCharge2D);
+ pPlotter2.region(0).refresh();
+ }
+ else{
+ IPlotterStyle pstyle = aida.analysisFactory().createPlotterFactory().createPlotterStyle();
+ pPlotter2 = null;
+ pPlotter2 = aida.analysisFactory().createPlotterFactory().create();
+ pstyle.dataStyle().fillStyle().setParameter("colorMapScheme", "rainbow");
+ pstyle.dataStyle().fillStyle().setParameter("showZeroHeightBins", Boolean.FALSE.toString());
+ pstyle.setParameter("hist2DStyle", "colorMap");
+ if (pPlotter2!=null){
+ pPlotter2.createRegion().plot(hMeanCharge2D,pstyle);
+ pPlotter2.show();
+ }
+ }
+
+
+ askUploadToDBDialog();
+ synchronized (modalMonitor) {
+ try{
+ modalMonitor.wait(120000); //wait 2 minutes for user interaction.
+ }
+ catch(InterruptedException excp){
+ System.out.println("Got exception: "+excp);
+ }
+ }
+ if (m_ret==1){
+ System.out.println("OK, upload to DB");
+ try {
+ uploadToDB();
+ } catch (SQLException | DatabaseObjectException | ConditionsObjectException error) {
+ throw new RuntimeException("Error uploading to the database.", error);
+ }
+ if (isMonitoringApp){
+ System.out.println("Save an Elog too");
+ uploadToElog();
+ }
+ }
+
+ /*Write a file with the LED values*/
+ try {
+ if (useRawEnergy){
+ outFileName=runNumber+".raw.txt";
+ }
+ else{
+ outFileName=runNumber+".energy.txt";
+ }
+ PrintWriter writer = new PrintWriter(outFileName, "UTF-8");
+
+
+ for (int id = 0; id < 11 * 47; id++) {
+
+ row = EcalMonitoringUtilities.getRowFromHistoID(id);
+ column = EcalMonitoringUtilities.getColumnFromHistoID(id);
+ if (EcalMonitoringUtilities.isInHole(row, column)) continue;
+ if ((row == 0) || (column == 0)) continue;
+
+ writer.print(column+" "+row+" "+" "+ mMean[id]+" "+mRMS[id]+"\r\n");
+
+ }
+ writer.close();
+
+ }
+ catch (FileNotFoundException fnfe) {
+
+ System.out.println(fnfe.getMessage());
+
+ }
+
+ catch (IOException ioe) {
+
+ System.out.println(ioe.getMessage());
+
+ }
+
+
+ System.out.println("EcalLedSequenceMonitor endOfData clear histograms");
+ for(int ii = 0; ii < NUM_CHANNELS; ii++) {
+ row=EcalMonitoringUtilities.getRowFromHistoID(ii);
+ column = EcalMonitoringUtilities.getColumnFromHistoID(ii);
+ hName="charge_"+ii;
+ aida.tree().rm(hName);
+ /*aida.tree().add(iTuple.get(ii));*/
+ }
+ System.out.println("EcalLedSequenceMonitor endOfData clear histograms done");
+ System.out.println("endOfData end");
+ System.out.println("The program is not stucked. It is writing the output AIDA file, this takes time!");
+ }/*End endOfData*/
+
+
+ /**
+ * This function returns the driver number (from 0 to 3) given the LED id.
+ * @param led
+ * @return
+ */
+ public int getDriver(int led){
+ int ret=-1;
+ if ((led>=2)&&(led<56)) ret=0;
+ else if ((led>=56)&&(led<112)) ret=1;
+ else if ((led>=112)&&(led<168)) ret=2;
+ else if ((led>=168)&&(led<224)) ret=3;
+ return ret;
+ }
+
+ /**
+ * Very simple method to retreive the pedestal-subtracted raw Energy.
+ * If the gain changes (because we do a re-calibration), I do not want to include this in the LED analysis
+ * @param energy
+ * @param cellID
+ * @return
+ */
+ public double getRawADCSum(double energy,long cellID){
+ EcalChannelConstants channelData = ecalConditions.getChannelConstants(ecalConditions.getChannelCollection().findGeometric(cellID));
+ double RawSum=energy / EcalUtils.GeV;
+ double gain=channelData.getGain().getGain();
+ double ret=RawSum/gain;
+ // System.out.println("A:C "+RawSum+" "+ret);
+ return ret;
+ }
+
+ private void uploadToDB() throws DatabaseObjectException, ConditionsObjectException, SQLException {
+ int x,y,id;
+ double mean,rms;
+ System.out.println(String.format("Uploading new led data to the database, runMin=%d, runMax=%d, tag=%s ....",
+ runNumber,runNumberMax,dbTag));
+
+ EcalLedCalibrationCollection led_calibrations = new EcalLedCalibrationCollection();
+
+ TableMetaData tableMetaData = conditionsManager.findTableMetaData(dbTableName);
+ led_calibrations.setTableMetaData(tableMetaData);
+
+ for (int cid = 1; cid <= 442; cid++) {/*This is a loop over the channel ID, as in the conditions system*/
+ EcalChannel cc = findChannel(cid);
+ x = cc.getX(); //This is the column
+ y = cc.getY(); //This is the row
+ id=EcalMonitoringUtilities.getHistoIDFromRowColumn(y,x);
+ mean=mMean[id];
+ rms=mRMS[id];
+ led_calibrations.add(new EcalLedCalibration(cid,mean,rms));
+ }
+
+ int collectionId = -1;
+
+ try {
+ collectionId = conditionsManager.getCollectionId(led_calibrations, "loaded by EcalLedSequenceMonitor");
+ } catch (Exception e) {
+ throw new RuntimeException(e);
+ }
+ System.err.println("CollectionID: "+collectionId);
+ led_calibrations.insert();
+ ConditionsRecord conditionsRecord = new ConditionsRecord(
+ led_calibrations.getCollectionId(), runNumber, runNumberMax, dbTableName, dbTableName,
+ "Generated by LedAnalysis from Run #"+runNumber, dbTag);
+ conditionsRecord.insert();
+
+ System.out.println("Upload to DB done");
+ }
+
+ private void uploadToElog(){
+ String path,exe,command,imgpath;
+ path="/home/hpsrun/LedSequenceData";
+ exe=path+"/doElog.csh";
+ imgpath=path+"/screenshots/"+runNumber+".png";
+
+ File f=new File(path);
+ if (!f.exists()){
+ System.err.println("LedMonitoringSequence:: wrong path");
+ return;
+ }
+ if (pPlotter2==null){
+ System.err.println("LedMonitoringSquence:: no plotter");
+ return;
+ }
+ try{
+ pPlotter2.writeToFile(imgpath);
+ }
+ catch(Exception e){
+ System.err.println("Exception "+e);
+ }
+ File f1=new File(exe);
+ if (!f1.exists()){
+ System.err.println("LedMonitoringSequence:: no script!");
+ return;
+ }
+ command=exe+" "+imgpath;
+ try{
+ System.out.println("LedMonitoringSequence:: try this command: "+command);
+ Runtime.getRuntime().exec(command);
+ }
+ catch(Exception e){
+ System.err.println("Exception "+e);
+ }
+ }
+
+
+ private void drawProfiles(int ledID,int driverID){
+
+ int m_column,m_row,m_ledID,m_chID,m_ID,m_driverID;
+
+ m_ledID = ledID;
+ m_driverID = driverID;
+ m_chID = 0;
+
+
+ if (m_driverID<=3) m_chID = LedTopMapInverted.get(ledID);
+ else m_chID = LedBotMapInverted.get(ledID);
+
+ m_column=findChannel(m_chID).getX();
+ m_row=findChannel(m_chID).getY();
+ m_ID=EcalMonitoringUtilities.getHistoIDFromRowColumn(m_row, m_column);
+ /*
System.out.println("Going to draw LED id "+m_ledID+" X= "+m_column+" Y= "+m_row+" driver: "+m_driverID);
System.out.println("Ch_ID: "+m_chID);
System.out.println("Histo ID:"+m_ID);
System.out.println("Events: "+iTuple.get(m_ID).rows());
- */
- hChargeVsEvn.get(m_driverID).reset();
- hChargeVsEvn.get(m_driverID).setTitle("Driver_"+m_driverID+" Led_"+ledID);
- IEvaluator evaluatorX = aida.analysisFactory().createTupleFactory(aida.analysisFactory().createTreeFactory().create()).createEvaluator("fEvn");
- IEvaluator evaluatorY = aida.analysisFactory().createTupleFactory(aida.analysisFactory().createTreeFactory().create()).createEvaluator("fCharge");
-
- iTuple.get(m_ID).project(hChargeVsEvn.get(m_driverID),evaluatorX,evaluatorY);
-
- pPlotter.region(m_driverID).clear();
- pPlotter.region(m_driverID).plot(hChargeVsEvn.get(m_driverID));
- pPlotter.region(m_driverID).refresh();
-
- }
-
- private EcalChannel findChannel(int channel_id) {
- return ecalConditions.getChannelCollection().findChannel(channel_id);
- }
-
-
- private void askUploadToDBDialog(){
- m_ret=0;
-
- okButton = new JButton("OK");
- cancelButton = new JButton("Cancel");
- labelString = "<html> Update conditions to DB <br> for run: <br> "+runNumber+" - "+runNumberMax+" <br> ???? <br> "
- + "Use the monitoring app to look at the map<br>"
- + "(Tab LED sequence)<br"
- +"Reply in 60 seconds<br>"+"</html>";
- label = new JLabel( labelString);
-
- frame = new JFrame("Upload to DB?");
- frame.setSize(500,250);
- panel = new JPanel();
- frame.add(panel);
-
-
- // dialog = new JDialog((JFrame)null, "User selection");
- // dialog.setSize(200,200);
- // dialog.setLayout(new FlowLayout());
- // dialog.add(label);
- // dialog.add(cancelButton);
- // dialog.add(okButton);
- // dialog.setVisible(true);
- //dialog.pack();
- panel.add(label);
- panel.add(cancelButton);
- panel.add(okButton);
-
- frame.setVisible(true);
- okButton.addActionListener(new ActionListener(){
- public void actionPerformed(ActionEvent event)
- {
- m_ret=1;
- frame.dispose();
- synchronized(modalMonitor)
- {
- System.out.println("Ok pressed");
- modalMonitor.notify();
- }
- }
- }
- );
-
- cancelButton.addActionListener(new ActionListener(){
- public void actionPerformed(ActionEvent event)
- {
- m_ret=0;
- frame.dispose();
- synchronized(modalMonitor)
- {
- System.out.println("Cancel pressed");
- modalMonitor.notify();
- }
- }
- }
- );
-
- System.out.println("askUploadDB done");
- }
-
+ */
+ hChargeVsEvn.get(m_driverID).reset();
+ hChargeVsEvn.get(m_driverID).setTitle("Driver_"+m_driverID+" Led_"+ledID);
+ IEvaluator evaluatorX = aida.analysisFactory().createTupleFactory(aida.analysisFactory().createTreeFactory().create()).createEvaluator("fEvn");
+ IEvaluator evaluatorY = aida.analysisFactory().createTupleFactory(aida.analysisFactory().createTreeFactory().create()).createEvaluator("fCharge");
+
+ iTuple.get(m_ID).project(hChargeVsEvn.get(m_driverID),evaluatorX,evaluatorY);
+
+ pPlotter.region(m_driverID).clear();
+ pPlotter.region(m_driverID).plot(hChargeVsEvn.get(m_driverID));
+ pPlotter.region(m_driverID).refresh();
+
+ }
+
+ private EcalChannel findChannel(int channel_id) {
+ return ecalConditions.getChannelCollection().findChannel(channel_id);
+ }
+
+
+ private void askUploadToDBDialog(){
+ m_ret=0;
+
+ okButton = new JButton("OK");
+ cancelButton = new JButton("Cancel");
+ labelString = "<html> Update conditions to DB <br> for run: <br> "+runNumber+" - "+runNumberMax+" <br> ???? <br> "
+ + "Use the monitoring app to look at the map<br>"
+ + "(Tab LED sequence)<br"
+ +"Reply in 60 seconds<br>"+"</html>";
+ label = new JLabel( labelString);
+
+ frame = new JFrame("Upload to DB?");
+ frame.setSize(500,250);
+ panel = new JPanel();
+ frame.add(panel);
+
+
+ // dialog = new JDialog((JFrame)null, "User selection");
+ // dialog.setSize(200,200);
+ // dialog.setLayout(new FlowLayout());
+ // dialog.add(label);
+ // dialog.add(cancelButton);
+ // dialog.add(okButton);
+ // dialog.setVisible(true);
+ //dialog.pack();
+ panel.add(label);
+ panel.add(cancelButton);
+ panel.add(okButton);
+
+ frame.setVisible(true);
+ okButton.addActionListener(new ActionListener(){
+ public void actionPerformed(ActionEvent event)
+ {
+ m_ret=1;
+ frame.dispose();
+ synchronized(modalMonitor)
+ {
+ System.out.println("Ok pressed");
+ modalMonitor.notify();
+ }
+ }
+ }
+ );
+
+ cancelButton.addActionListener(new ActionListener(){
+ public void actionPerformed(ActionEvent event)
+ {
+ m_ret=0;
+ frame.dispose();
+ synchronized(modalMonitor)
+ {
+ System.out.println("Cancel pressed");
+ modalMonitor.notify();
+ }
+ }
+ }
+ );
+
+ System.out.println("askUploadDB done");
+ }
+
}
