Author: [log in to unmask]
Date: Fri May 1 17:15:34 2015
New Revision: 2878
Log:
new plots
Modified:
java/trunk/users/src/main/java/org/hps/users/phansson/TrackingReconstructionPlots.java
Modified: java/trunk/users/src/main/java/org/hps/users/phansson/TrackingReconstructionPlots.java
=============================================================================
--- java/trunk/users/src/main/java/org/hps/users/phansson/TrackingReconstructionPlots.java (original)
+++ java/trunk/users/src/main/java/org/hps/users/phansson/TrackingReconstructionPlots.java Fri May 1 17:15:34 2015
@@ -8,14 +8,20 @@
import hep.aida.IProfile;
import hep.physics.matrix.SymmetricMatrix;
import hep.physics.vec.Hep3Vector;
+
import java.io.IOException;
+import java.util.HashMap;
import java.util.List;
+import java.util.Map;
import java.util.logging.Level;
import java.util.logging.Logger;
+
+import org.apache.commons.lang3.tuple.Pair;
+import org.hps.readout.ecal.FADCEcalReadoutDriver.PulseShape;
import org.hps.recon.tracking.BeamlineConstants;
import org.hps.recon.tracking.DumbShaperFit;
+import org.hps.recon.tracking.FittedRawTrackerHit;
import org.hps.recon.tracking.HelixConverter;
-import org.hps.recon.tracking.PulseShape;
import org.hps.recon.tracking.ShapeFitParameters;
import org.hps.recon.tracking.ShaperFitAlgorithm;
import org.hps.recon.tracking.StraightLineTrack;
@@ -25,6 +31,7 @@
import org.lcsim.event.Cluster;
import org.lcsim.event.EventHeader;
import org.lcsim.event.LCIOParameters.ParameterName;
+import org.lcsim.event.LCRelation;
import org.lcsim.event.RawTrackerHit;
import org.lcsim.event.Track;
import org.lcsim.event.TrackerHit;
@@ -44,13 +51,10 @@
/**
*
- * @author mgraham
+ * @author phansson
*/
public class TrackingReconstructionPlots extends Driver {
- //private AIDAFrame plotterFrame;
- //private AIDAFrame topFrame;
- //private AIDAFrame bottomFrame;
private AIDA aida = AIDA.defaultInstance();
private String rawTrackerHitCollectionName = "SVTRawTrackerHits";
private String fittedTrackerHitCollectionName = "SVTFittedRawTrackerHits";
@@ -62,15 +66,16 @@
private String trackerName = "Tracker";
String ecalSubdetectorName = "Ecal";
String ecalCollectionName = "EcalClusters";
- private Detector detector = null;
IDDecoder dec;
- private int eventCount;
- private List<SiSensor> sensors;
private String outputPlots = null;
IPlotter plotter;
IPlotter plotter2;
IPlotter plotter22;
+ IPlotter plotter2221;
+ IPlotter plotter2222;
IPlotter plotter222;
+ IPlotter plotter2224;
+ IPlotter plotter2223;
IPlotter plotter3;
IPlotter plotter3_1;
IPlotter plotter3_2;
@@ -79,34 +84,27 @@
IPlotter plotter5_1;
IPlotter plotter55;
IPlotter plotter6;
+ IPlotter plotter66;
IPlotter plotter7;
IPlotter top1;
IPlotter top2;
IPlotter top3;
IPlotter top4;
+ IPlotter top44;
IPlotter bot1;
IPlotter bot2;
IPlotter bot3;
IPlotter bot4;
- double zEcal = 1500;
- double zAtDownStrPairSpec = 914.0; //mm
double zAtColl = -1500;
IHistogram1D trkPx;
IHistogram1D nTracks;
ShaperFitAlgorithm _shaper = new DumbShaperFit();
+ private boolean showPlots = true;
@Override
protected void detectorChanged(Detector detector) {
- this.detector = detector;
aida.tree().cd("/");
- //plotterFrame = new AIDAFrame();
- //plotterFrame.setTitle("HPS Tracking Plots");
-
- //topFrame = new AIDAFrame();
- //topFrame.setTitle("Top Tracking Plots");
- //bottomFrame = new AIDAFrame();
- //bottomFrame.setTitle("Bottom Tracking Plots");
- sensors = detector.getSubdetector(trackerName).getDetectorElement().findDescendants(SiSensor.class);
+ //sensors = detector.getSubdetector(trackerName).getDetectorElement().findDescendants(SiSensor.class);
IAnalysisFactory fac = aida.analysisFactory();
plotter = fac.createPlotterFactory().create("HPS Tracking Plots");
@@ -119,7 +117,7 @@
trkPx = aida.histogram1D("Track Momentum (Px)", 25, -0.25, 0.25);
IHistogram1D trkPy = aida.histogram1D("Track Momentum (Py)", 25, -0.5, 0.5);
- IHistogram1D trkPz = aida.histogram1D("Track Momentum (Pz)", 25, 0, 3.5);
+ IHistogram1D trkPz = aida.histogram1D("Track Momentum (Pz)", 25, 0, 1.5);
IHistogram1D trkChi2 = aida.histogram1D("Track Chi2", 25, 0, 25.0);
plotter.region(0).plot(trkPx);
@@ -127,7 +125,7 @@
plotter.region(2).plot(trkPz);
plotter.region(3).plot(trkChi2);
- plotter.show();
+ if(showPlots) plotter.show();
// ******************************************************************
top1 = fac.createPlotterFactory().create("Top Tracking Plots");
@@ -140,7 +138,7 @@
IHistogram1D toptrkPx = aida.histogram1D("Top Track Momentum (Px)", 25, -0.25, 0.25);
IHistogram1D toptrkPy = aida.histogram1D("Top Track Momentum (Py)", 25, -0.5, 0.5);
- IHistogram1D toptrkPz = aida.histogram1D("Top Track Momentum (Pz)", 25, 0, 3.5);
+ IHistogram1D toptrkPz = aida.histogram1D("Top Track Momentum (Pz)", 25, 0, 1.5);
IHistogram1D toptrkChi2 = aida.histogram1D("Top Track Chi2", 25, 0, 25.0);
top1.region(0).plot(toptrkPx);
@@ -148,7 +146,7 @@
top1.region(2).plot(toptrkPz);
top1.region(3).plot(toptrkChi2);
- top1.show();
+ if(showPlots) top1.show();
bot1 = fac.createPlotterFactory().create("Bottom Tracking Plots");
bot1.setTitle("Bottom Momentum");
@@ -160,7 +158,7 @@
IHistogram1D bottrkPx = aida.histogram1D("Bottom Track Momentum (Px)", 25, -0.25, 0.25);
IHistogram1D bottrkPy = aida.histogram1D("Bottom Track Momentum (Py)", 25, -0.5, 0.5);
- IHistogram1D bottrkPz = aida.histogram1D("Bottom Track Momentum (Pz)", 25, 0, 3.5);
+ IHistogram1D bottrkPz = aida.histogram1D("Bottom Track Momentum (Pz)", 25, 0, 1.5);
IHistogram1D bottrkChi2 = aida.histogram1D("Bottom Track Chi2", 25, 0, 25.0);
bot1.region(0).plot(bottrkPx);
@@ -168,14 +166,14 @@
bot1.region(2).plot(bottrkPz);
bot1.region(3).plot(bottrkChi2);
- bot1.show();
+ if(showPlots) bot1.show();
// ******************************************************************
- IHistogram1D trkd0 = aida.histogram1D("d0 ", 25, -100.0, 100.0);
+ IHistogram1D trkd0 = aida.histogram1D("d0 ", 25, -10.0, 10.0);
IHistogram1D trkphi = aida.histogram1D("sinphi ", 25, -0.2, 0.2);
IHistogram1D trkomega = aida.histogram1D("omega ", 25, -0.0025, 0.0025);
IHistogram1D trklam = aida.histogram1D("tan(lambda) ", 25, -0.1, 0.1);
- IHistogram1D trkz0 = aida.histogram1D("z0 ", 25, -100.0, 100.0);
+ IHistogram1D trkz0 = aida.histogram1D("z0 ", 25, -6.0, 6.0);
plotter22 = fac.createPlotterFactory().create("HPS Track Params");
plotter22.setTitle("Track parameters");
@@ -189,7 +187,63 @@
plotter22.region(2).plot(trkomega);
plotter22.region(3).plot(trklam);
plotter22.region(4).plot(trkz0);
-
+
+ if(showPlots) plotter22.show();
+
+ // ******************************************************************
+
+
+ trkd0 = aida.histogram1D("d0 Top", 25, -10.0, 10.0);
+ trkphi = aida.histogram1D("sinphi Top", 25, -0.2, 0.2);
+ trkomega = aida.histogram1D("omega Top", 25, -0.0025, 0.0025);
+ trklam = aida.histogram1D("tan(lambda) Top", 25, -0.1, 0.1);
+ trkz0 = aida.histogram1D("z0 Top", 25, -6.0, 6.0);
+
+ plotter2221 = fac.createPlotterFactory().create("HPS Track Params");
+ plotter2221.setTitle("Track parameters");
+ //plotterFrame.addPlotter(plotter22);
+ IPlotterStyle style2221 = plotter2221.style();
+ style2221.dataStyle().fillStyle().setColor("yellow");
+ style2221.dataStyle().errorBarStyle().setVisible(false);
+ plotter2221.createRegions(2, 3);
+ plotter2221.region(0).plot(trkd0);
+ plotter2221.region(1).plot(trkphi);
+ plotter2221.region(2).plot(trkomega);
+ plotter2221.region(3).plot(trklam);
+ plotter2221.region(4).plot(trkz0);
+
+ if(showPlots) plotter2221.show();
+
+
+ // ******************************************************************
+
+
+ trkd0 = aida.histogram1D("d0 Bottom", 25, -10.0, 10.0);
+ trkphi = aida.histogram1D("sinphi Bottom", 25, -0.2, 0.2);
+ trkomega = aida.histogram1D("omega Bottom", 25, -0.0025, 0.0025);
+ trklam = aida.histogram1D("tan(lambda) Bottom", 25, -0.1, 0.1);
+ trkz0 = aida.histogram1D("z0 Bottom", 25, -6.0, 6.0);
+
+ plotter2222 = fac.createPlotterFactory().create("HPS Track Params");
+ plotter2222.setTitle("Track parameters");
+ //plotterFrame.addPlotter(plotter22);
+ IPlotterStyle style2222 = plotter2222.style();
+ style2222.dataStyle().fillStyle().setColor("yellow");
+ style2222.dataStyle().errorBarStyle().setVisible(false);
+ plotter2222.createRegions(2, 3);
+ plotter2222.region(0).plot(trkd0);
+ plotter2222.region(1).plot(trkphi);
+ plotter2222.region(2).plot(trkomega);
+ plotter2222.region(3).plot(trklam);
+ plotter2222.region(4).plot(trkz0);
+
+ if(showPlots) plotter2222.show();
+
+
+
+ // ******************************************************************
+
+
plotter2 = fac.createPlotterFactory().create("HPS Tracking Plots");
plotter2.setTitle("Track extrapolation");
//plotterFrame.addPlotter(plotter2);
@@ -214,29 +268,81 @@
plotter2.region(6).plot(yAtEcal);
plotter2.region(3).plot(xAtEcal2);
plotter2.region(7).plot(yAtEcal2);
-
+
+ if(showPlots) plotter2.show();
+
+ // ******************************************************************
+
plotter222 = fac.createPlotterFactory().create("HPS Tracking Plots");
plotter222.setTitle("Other");
//plotterFrame.addPlotter(plotter222);
IPlotterStyle style222 = plotter222.style();
style222.dataStyle().fillStyle().setColor("yellow");
style222.dataStyle().errorBarStyle().setVisible(false);
- plotter222.createRegions(2, 3);
-
- IHistogram1D nHits = aida.histogram1D("Hits per Track", 2, 4, 6);
+ plotter222.createRegions(2, 2);
+
+ IHistogram1D nHits = aida.histogram1D("Hits per Track", 4, 3, 7);
+ nTracks = aida.histogram1D("Tracks per Event", 3, 0, 3);
+ IHistogram1D nHitsCluster = aida.histogram1D("Hits in Cluster (HitOnTrack)", 4, 0, 4);
+
+
+ plotter222.region(0).plot(nHits);
+ plotter222.region(1).plot(nTracks);
+ plotter222.region(1).plot(nHitsCluster);
+
+ if(showPlots) plotter222.show();
+
+ // ******************************************************************
+
+
+ plotter2223 = fac.createPlotterFactory().create("Cluster Amp Plots");
+ plotter2223.setTitle("Other");
+ //plotterFrame.addPlotter(plotter222);
+ IPlotterStyle style2223 = plotter2223.style();
+ style2223.dataStyle().fillStyle().setColor("yellow");
+ style2223.dataStyle().errorBarStyle().setVisible(false);
+ plotter2223.createRegions(2, 2);
+
+
+
IHistogram1D amp = aida.histogram1D("Amp (HitOnTrack)", 50, 0, 5000);
- IHistogram1D ampcl = aida.histogram1D("Amp (CluOnTrack)", 50, 0, 5000);
- IHistogram1D amp2 = aida.histogram1D("Amp Pz>1000 (HitOnTrack)", 50, 0, 5000);
- IHistogram1D ampcl2 = aida.histogram1D("Amp Pz>1000 (CluOnTrack)", 50, 0, 5000);
- nTracks = aida.histogram1D("Tracks per Event", 3, 0, 3);
-
- plotter222.region(0).plot(nHits);
- plotter222.region(3).plot(nTracks);
- plotter222.region(1).plot(amp);
- plotter222.region(4).plot(amp2);
- plotter222.region(2).plot(ampcl);
- plotter222.region(5).plot(ampcl2);
-
+ IHistogram1D ampcl = aida.histogram1D("Cluster Amp (HitOnTrack)", 50, 0, 5000);
+ IHistogram1D amp2 = aida.histogram1D("Amp Pz>0.8 (HitOnTrack)", 50, 0, 5000);
+ IHistogram1D ampcl2 = aida.histogram1D("Cluster Amp Pz>0.8 (HitOnTrack)", 50, 0, 5000);
+
+
+ plotter2223.region(0).plot(amp);
+ plotter2223.region(1).plot(amp2);
+ plotter2223.region(2).plot(ampcl);
+ plotter2223.region(3).plot(ampcl2);
+
+ if(showPlots) plotter2223.show();
+
+// ******************************************************************
+
+
+ plotter2224 = fac.createPlotterFactory().create("t0 Plots");
+ plotter2224.setTitle("Other");
+ IPlotterStyle style2224 = plotter2224.style();
+ style2224.dataStyle().fillStyle().setColor("yellow");
+ style2224.dataStyle().errorBarStyle().setVisible(false);
+ plotter2224.createRegions(2, 2);
+
+ IHistogram1D t0 = aida.histogram1D("t0 (HitOnTrack)", 50, -100, 100);
+ IHistogram1D t0cl = aida.histogram1D("Cluster t0 (HitOnTrack)", 50, -100, 100);
+ IHistogram1D t02 = aida.histogram1D("t0 Pz>0.8 (HitOnTrack)", 50, -100, 100);
+ IHistogram1D t0cl2 = aida.histogram1D("Cluster t0 Pz>0.8 (HitOnTrack)", 50, -100, 100);
+
+ plotter2224.region(0).plot(t0);
+ plotter2224.region(1).plot(t0cl);
+ plotter2224.region(2).plot(t02);
+ plotter2224.region(3).plot(t0cl2);
+
+ if(showPlots) plotter2224.show();
+
+
+ // ******************************************************************
+
plotter3 = fac.createPlotterFactory().create("HPS Residual Plots");
plotter3.setTitle("Residuals");
//plotterFrame.addPlotter(plotter3);
@@ -266,6 +372,9 @@
IHistogram1D mod5ResX = aida.histogram1D("Module 5 Residual X(mm)", 25, minResidX, maxResidX);
IHistogram1D mod5ResY = aida.histogram1D("Module 5 Residual Y(mm)", 25, minResidY, maxResidY);
+ IHistogram1D mod6ResX = aida.histogram1D("Module 6 Residual X(mm)", 25, minResidX, maxResidX);
+ IHistogram1D mod6ResY = aida.histogram1D("Module 6 Residual Y(mm)", 25, minResidY, maxResidY);
+
plotter3.region(0).plot(mod1ResX);
plotter3.region(2).plot(mod2ResX);
plotter3.region(4).plot(mod3ResX);
@@ -277,6 +386,8 @@
plotter3.region(5).plot(mod3ResY);
plotter3.region(7).plot(mod4ResY);
plotter3.region(9).plot(mod5ResY);
+
+ if(showPlots) plotter3.show();
plotter3_1 = fac.createPlotterFactory().create("HPS Residual Plots (Single hit per layer)");
plotter3_1.setTitle("Residuals (Top)");
@@ -284,7 +395,7 @@
IPlotterStyle style3_1 = plotter3_1.style();
style3_1.dataStyle().fillStyle().setColor("yellow");
style3_1.dataStyle().errorBarStyle().setVisible(false);
- plotter3_1.createRegions(5, 2);
+ plotter3_1.createRegions(6, 2);
IHistogram1D mod1ResX_Top = aida.histogram1D("Module 1 Residual X(mm) Top", 25, minResidX, maxResidX);
IHistogram1D mod1ResY_Top = aida.histogram1D("Module 1 Residual Y(mm) Top", 25, minResidY, maxResidY);
@@ -300,26 +411,33 @@
IHistogram1D mod5ResX_Top = aida.histogram1D("Module 5 Residual X(mm) Top", 25, minResidX, maxResidX);
IHistogram1D mod5ResY_Top = aida.histogram1D("Module 5 Residual Y(mm) Top", 25, minResidY, maxResidY);
+
+ IHistogram1D mod6ResX_Top = aida.histogram1D("Module 6 Residual X(mm) Top", 25, minResidX, maxResidX);
+ IHistogram1D mod6ResY_Top = aida.histogram1D("Module 6 Residual Y(mm) Top", 25, minResidY, maxResidY);
plotter3_1.region(0).plot(mod1ResX_Top);
plotter3_1.region(2).plot(mod2ResX_Top);
plotter3_1.region(4).plot(mod3ResX_Top);
plotter3_1.region(6).plot(mod4ResX_Top);
plotter3_1.region(8).plot(mod5ResX_Top);
+ plotter3_1.region(10).plot(mod6ResX_Top);
plotter3_1.region(1).plot(mod1ResY_Top);
plotter3_1.region(3).plot(mod2ResY_Top);
plotter3_1.region(5).plot(mod3ResY_Top);
plotter3_1.region(7).plot(mod4ResY_Top);
plotter3_1.region(9).plot(mod5ResY_Top);
-
+ plotter3_1.region(11).plot(mod6ResY_Top);
+
+ if(showPlots) plotter3_1.show();
+
plotter3_2 = fac.createPlotterFactory().create("HPS Residual Plots (Single strip cluster per layer)");
plotter3_2.setTitle("Residuals (Bottom)");
//plotterFrame.addPlotter(plotter3_2);
IPlotterStyle style3_2 = plotter3_2.style();
style3_2.dataStyle().fillStyle().setColor("yellow");
style3_2.dataStyle().errorBarStyle().setVisible(false);
- plotter3_2.createRegions(5, 2);
+ plotter3_2.createRegions(6, 2);
IHistogram1D mod1ResX_Bottom = aida.histogram1D("Module 1 Residual X(mm) Bottom", 25, minResidX, maxResidX);
IHistogram1D mod1ResY_Bottom = aida.histogram1D("Module 1 Residual Y(mm) Bottom", 25, minResidY, maxResidY);
@@ -335,18 +453,25 @@
IHistogram1D mod5ResX_Bottom = aida.histogram1D("Module 5 Residual X(mm) Bottom", 25, minResidX, maxResidX);
IHistogram1D mod5ResY_Bottom = aida.histogram1D("Module 5 Residual Y(mm) Bottom", 25, minResidY, maxResidY);
+
+ IHistogram1D mod6ResX_Bottom = aida.histogram1D("Module 6 Residual X(mm) Bottom", 25, minResidX, maxResidX);
+ IHistogram1D mod6ResY_Bottom = aida.histogram1D("Module 6 Residual Y(mm) Bottom", 25, minResidY, maxResidY);
plotter3_2.region(0).plot(mod1ResX_Bottom);
plotter3_2.region(2).plot(mod2ResX_Bottom);
plotter3_2.region(4).plot(mod3ResX_Bottom);
plotter3_2.region(6).plot(mod4ResX_Bottom);
plotter3_2.region(8).plot(mod5ResX_Bottom);
+ plotter3_2.region(10).plot(mod6ResX_Bottom);
plotter3_2.region(1).plot(mod1ResY_Bottom);
plotter3_2.region(3).plot(mod2ResY_Bottom);
plotter3_2.region(5).plot(mod3ResY_Bottom);
plotter3_2.region(7).plot(mod4ResY_Bottom);
plotter3_2.region(9).plot(mod5ResY_Bottom);
+ plotter3_2.region(11).plot(mod6ResY_Bottom);
+
+ if(showPlots) plotter3_2.show();
plotter4 = fac.createPlotterFactory().create("HPS Track and ECal Plots");
plotter4.setTitle("Track and ECal Correlations");
@@ -358,14 +483,12 @@
style4.dataStyle().errorBarStyle().setVisible(false);
plotter4.createRegions(2, 3);
- IHistogram2D eVsP = aida.histogram2D("Energy Vs Momentum", 50, 0, 500, 50, 0, 3000);
+ IHistogram2D eVsP = aida.histogram2D("Energy Vs Momentum", 50, 0, 0.50, 50, 0, 1.5);
IHistogram1D eOverP = aida.histogram1D("Energy Over Momentum", 50, 0, 2);
- IHistogram1D distX = aida.histogram1D("deltaX", 50, -400, 400);
+ IHistogram1D distX = aida.histogram1D("deltaX", 50, -100, 100);
IHistogram1D distY = aida.histogram1D("deltaY", 50, -40, 40);
-// IHistogram1D distX2 = aida.histogram1D("deltaX (Pz>1)", 50, -400, 400);
-// IHistogram1D distY2 = aida.histogram1D("deltaY (Pz>1)", 50, -40, 40);
IHistogram2D xEcalVsTrk = aida.histogram2D("X ECal Vs Track", 100, -400, 400, 100, -400, 400);
IHistogram2D yEcalVsTrk = aida.histogram2D("Y ECal Vs Track", 100, -100, 100, 100, -100, 100);
@@ -375,6 +498,8 @@
plotter4.region(4).plot(distY);
plotter4.region(2).plot(xEcalVsTrk);
plotter4.region(5).plot(yEcalVsTrk);
+
+ if(showPlots) plotter4.show();
// ******************************************************************
top2 = fac.createPlotterFactory().create("Top ECal Plots");
@@ -387,13 +512,13 @@
top2.createRegions(2, 3);
//topFrame.addPlotter(top2);
- IHistogram2D topeVsP = aida.histogram2D("Top Energy Vs Momentum", 50, 0, 500, 50, 0, 3000);
+ IHistogram2D topeVsP = aida.histogram2D("Top Energy Vs Momentum", 50, 0, 0.500, 50, 0, 1.5);
IHistogram1D topeOverP = aida.histogram1D("Top Energy Over Momentum", 50, 0, 2);
- IHistogram1D topdistX = aida.histogram1D("Top deltaX", 50, -400, 400);
+ IHistogram1D topdistX = aida.histogram1D("Top deltaX", 50, -100, 100);
IHistogram1D topdistY = aida.histogram1D("Top deltaY", 50, -40, 40);
- IHistogram2D topxEcalVsTrk = aida.histogram2D("Top X ECal Vs Track", 100, -400, 400, 100, -400, 400);
+ IHistogram2D topxEcalVsTrk = aida.histogram2D("Top X ECal Vs Track", 100, -400, 400, 100, -100, 100);
IHistogram2D topyEcalVsTrk = aida.histogram2D("Top Y ECal Vs Track", 100, 0, 100, 100, 0, 100);
top2.region(0).plot(topeVsP);
@@ -403,6 +528,8 @@
top2.region(2).plot(topxEcalVsTrk);
top2.region(5).plot(topyEcalVsTrk);
+ if(showPlots) top2.show();
+
bot2 = fac.createPlotterFactory().create("Bottom ECal Plots");
bot2.setTitle("Bottom ECal Correlations");
IPlotterStyle sbot2 = bot2.style();
@@ -413,10 +540,10 @@
bot2.createRegions(2, 3);
//bottomFrame.addPlotter(bot2);
- IHistogram2D BottomeVsP = aida.histogram2D("Bottom Energy Vs Momentum", 50, 0, 500, 50, 0, 3000);
+ IHistogram2D BottomeVsP = aida.histogram2D("Bottom Energy Vs Momentum", 50, 0, 0.500, 50, 0, 1.5);
IHistogram1D BottomeOverP = aida.histogram1D("Bottom Energy Over Momentum", 50, 0, 2);
- IHistogram1D BottomdistX = aida.histogram1D("Bottom deltaX", 50, -400, 400);
+ IHistogram1D BottomdistX = aida.histogram1D("Bottom deltaX", 50, -100, 100);
IHistogram1D BottomdistY = aida.histogram1D("Bottom deltaY", 50, -40, 40);
IHistogram2D BottomxEcalVsTrk = aida.histogram2D("Bottom X ECal Vs Track", 100, -400, 400, 100, -400, 400);
@@ -429,7 +556,10 @@
bot2.region(2).plot(BottomxEcalVsTrk);
bot2.region(5).plot(BottomyEcalVsTrk);
-// ******************************************************************
+ if(showPlots) bot2.show();
+
+
+ // ******************************************************************
top3 = fac.createPlotterFactory().create("Top ECal Plots");
top3.setTitle("Top ECal More Correlations");
IPlotterStyle stop3 = top3.style();
@@ -440,12 +570,14 @@
top3.createRegions(1, 2);
//topFrame.addPlotter(top3);
- IHistogram2D topdistXvsX = aida.histogram2D("Top deltaX vs X", 51, -400, 400, 25, -400, 400);
+ IHistogram2D topdistXvsX = aida.histogram2D("Top deltaX vs X", 51, -400, 400, 25, -100, 100);
IHistogram2D topdistYvsY = aida.histogram2D("Top deltaY vs Y", 51, 0, 100, 25, -40, 40);
top3.region(0).plot(topdistXvsX);
top3.region(1).plot(topdistYvsY);
+ if(showPlots) top3.show();
+
bot3 = fac.createPlotterFactory().create("Bottom ECal Plots");
bot3.setTitle("Bottom ECal More Correlations");
IPlotterStyle sbot3 = bot3.style();
@@ -456,12 +588,72 @@
bot3.createRegions(1, 2);
//bottomFrame.addPlotter(bot3);
- IHistogram2D botdistXvsX = aida.histogram2D("Bottom deltaX vs X", 51, -400, 400, 25, -400, 400);
+ IHistogram2D botdistXvsX = aida.histogram2D("Bottom deltaX vs X", 51, -400, 400, 25, -100, 100);
IHistogram2D botdistYvsY = aida.histogram2D("Bottom deltaY vs Y", 51, -100, 0, 25, -40, 40);
bot3.region(0).plot(botdistXvsX);
bot3.region(1).plot(botdistYvsY);
+ if(showPlots) bot3.show();
+
+ // ******************************************************************
+ top4 = fac.createPlotterFactory().create("Track Matching Plots");
+ top4.setTitle("Track Matching Plots");
+ IPlotterStyle stop4 = top4.style();
+ stop4.dataStyle().fillStyle().setColor("green");
+ stop4.dataStyle().errorBarStyle().setVisible(false);
+ stop4.setParameter("hist2DStyle", "colorMap");
+ stop4.dataStyle().fillStyle().setParameter("colorMapScheme", "rainbow");
+ top4.createRegions(2, 3);
+ //topFrame.addPlotter(top4);
+
+ IHistogram1D trackmatchN = aida.histogram1D("Tracks matched", 3, 0, 3);
+ IHistogram1D toptrackmatchN = aida.histogram1D("Tracks matched Top", 3, 0, 3);
+ IHistogram1D bottrackmatchN = aida.histogram1D("Tracks matched Bottom", 3, 0, 3);
+ IHistogram1D trackmatchN2 = aida.histogram1D("Tracks matched (Pz>0.8)", 3, 0, 3);
+ IHistogram1D toptrackmatchN2 = aida.histogram1D("Tracks matched Top (Pz>0.8)", 3, 0, 3);
+ IHistogram1D bottrackmatchN2 = aida.histogram1D("Tracks matched Bottom (Pz>0.8)", 3, 0, 3);
+
+ top4.region(0).plot(trackmatchN);
+ top4.region(1).plot(toptrackmatchN);
+ top4.region(2).plot(bottrackmatchN);
+ top4.region(3).plot(trackmatchN2);
+ top4.region(4).plot(toptrackmatchN2);
+ top4.region(5).plot(bottrackmatchN2);
+
+ if(showPlots) top4.show();
+
+ // ******************************************************************
+ top44 = fac.createPlotterFactory().create("e+e- Plots");
+ top44.setTitle("e+e- Plots");
+ IPlotterStyle stop44 = top44.style();
+ stop44.dataStyle().fillStyle().setColor("green");
+ stop44.dataStyle().errorBarStyle().setVisible(false);
+ stop44.setParameter("hist2DStyle", "colorMap");
+ stop44.dataStyle().fillStyle().setParameter("colorMapScheme", "rainbow");
+ top44.createRegions(2,4);
+ //topFrame.addPlotter(top44);
+
+ IHistogram2D trackPCorr = aida.histogram2D("p(e-) vs p(e+) max", 25, 0, 1.2, 25, 0, 1.2);
+ IHistogram1D ne = aida.histogram1D("n(e-)", 3, 0, 3);
+ IHistogram1D np = aida.histogram1D("n(e+)", 3, 0, 3);
+ IHistogram1D pem = aida.histogram1D("p(e-) max", 25, 0, 1.5);
+ IHistogram1D pe = aida.histogram1D("p(e-)", 25, 0, 1.5);
+ IHistogram1D ppm = aida.histogram1D("p(e+) max", 25, 0, 1.5);
+ IHistogram1D pp = aida.histogram1D("p(e+)", 25, 0, 1.5);
+
+ top44.region(0).plot(trackPCorr);
+ top44.region(1).plot(ne);
+ top44.region(2).plot(np);
+ top44.region(3).plot(pe);
+ top44.region(4).plot(pp);
+ top44.region(5).plot(pem);
+ top44.region(6).plot(ppm);
+
+ if(showPlots) top44.show();
+
+
+
// ******************************************************************
plotter5 = fac.createPlotterFactory().create("HPS Hit Positions");
plotter5.setTitle("Hit Positions: Top");
@@ -480,7 +672,9 @@
plotter5.region(0).plot(l1Pos);
plotter5.region(1).plot(l7Pos);
-
+
+ if(showPlots) plotter5.show();
+
plotter5_1 = fac.createPlotterFactory().create("HPS Hit Positions");
plotter5_1.setTitle("Hit Positions: Bottom");
//plotterFrame.addPlotter(plotter5_1);
@@ -491,10 +685,13 @@
style5_1.dataStyle().errorBarStyle().setVisible(false);
plotter5_1.createRegions(1, 2);
+
IHistogram2D l1PosBot = aida.histogram2D("Layer 1 HTH Position: Bottom", 50, -55, 55, 55, -25, 25);
IHistogram2D l7PosBot = aida.histogram2D("Layer 7 HTH Position: Bottom", 50, -55, 55, 55, -25, 25);
plotter5_1.region(0).plot(l1PosBot);
plotter5_1.region(1).plot(l7PosBot);
+
+ if(showPlots) plotter5_1.show();
plotter55 = fac.createPlotterFactory().create("HPS Hit Positions");
plotter55.setTitle("Helical Track Hits");
@@ -510,6 +707,8 @@
plotter55.region(0).plot(avgLayersTopPlot);
plotter55.region(1).plot(avgLayersBottomPlot);
+
+ if(showPlots) plotter55.show();
plotter6 = fac.createPlotterFactory().create("HPS ECAL Hit Positions");
plotter6.setTitle("ECAL Positions");
@@ -525,10 +724,10 @@
IHistogram2D botECal = aida.histogram2D("Bottom ECal Cluster Position", 50, -400, 400, 10, -100, 0);
IHistogram2D topECal1 = aida.histogram2D("Top ECal Cluster Position (>0 tracks)", 50, -400, 400, 10, 0, 100);
IHistogram2D botECal1 = aida.histogram2D("Bottom ECal Cluster Position (>0 tracks)", 50, -400, 400, 10, -100, 0);
- IHistogram2D topECal2 = aida.histogram2D("Top ECal Cluster Position (E>100,>0 tracks)", 50, -400, 400, 10, 0, 100);
- IHistogram2D botECal2 = aida.histogram2D("Bottom ECal Cluster Position (E>100,>0 tracks)", 50, -400, 400, 10, -100, 0);
- IHistogram2D topECal3 = aida.histogram2D("Top ECal Cluster Position w_E (E>100,>0 tracks)", 50, -400, 400, 10, 0, 100);
- IHistogram2D botECal3 = aida.histogram2D("Bottom ECal Cluster Position w_E (E>100,>0 tracks)", 50, -400, 400, 10, -100, 0);
+ IHistogram2D topECal2 = aida.histogram2D("Top ECal Cluster Position (E>0.1,>0 tracks)", 50, -400, 400, 10, 0, 100);
+ IHistogram2D botECal2 = aida.histogram2D("Bottom ECal Cluster Position (E>0.1,>0 tracks)", 50, -400, 400, 10, -100, 0);
+ IHistogram2D topECal3 = aida.histogram2D("Top ECal Cluster Position w_E (E>0.1,>0 tracks)", 50, -400, 400, 10, 0, 100);
+ IHistogram2D botECal3 = aida.histogram2D("Bottom ECal Cluster Position w_E (E>0.1,>0 tracks)", 50, -400, 400, 10, -100, 0);
plotter6.region(0).plot(topECal);
plotter6.region(1).plot(botECal);
@@ -538,13 +737,31 @@
plotter6.region(5).plot(botECal2);
plotter6.region(6).plot(topECal3);
plotter6.region(7).plot(botECal3);
-
- //plotterFrame.pack();
- //plotterFrame.setVisible(true);
- //topFrame.pack();
- //topFrame.setVisible(true);
- //bottomFrame.pack();
- //bottomFrame.setVisible(true);
+
+ if(showPlots) plotter6.show();
+
+
+ plotter66 = fac.createPlotterFactory().create("HPS ECAL Basic Plots");
+ plotter66.setTitle("ECAL Basic Plots");
+ //plotterFrame.addPlotter(plotter6);
+ IPlotterStyle style66 = plotter66.style();
+ style66.dataStyle().fillStyle().setColor("yellow");
+ style66.dataStyle().errorBarStyle().setVisible(false);
+ plotter66.createRegions(2, 2);
+
+ IHistogram1D topECalE = aida.histogram1D("Top ECal Cluster Energy", 50, 0, 2);
+ IHistogram1D botECalE = aida.histogram1D("Bottom ECal Cluster Energy", 50, 0, 2);
+ IHistogram1D topECalN = aida.histogram1D("Number of Clusters Top", 6, 0, 6);
+ IHistogram1D botECalN = aida.histogram1D("Number of Clusters Bot", 6, 0, 6);
+
+ plotter66.region(0).plot(topECalE);
+ plotter66.region(1).plot(botECalE);
+ plotter66.region(2).plot(botECalN);
+ plotter66.region(3).plot(topECalN);
+
+ if(showPlots) plotter66.show();
+
+
plotter7 = fac.createPlotterFactory().create("HPS ECAL Hit Positions");
plotter7.setTitle("Basic Misc Stuff");
//plotterFrame.addPlotter(plotter7);
@@ -557,6 +774,9 @@
IHistogram2D quadrants = aida.histogram2D("Charge vs Slope", 2, -1, 1, 2, -1, 1);
plotter7.region(0).plot(quadrants);
+
+ if(showPlots) plotter7.show();
+
}
@@ -566,7 +786,13 @@
public void setOutputPlots(String output) {
this.outputPlots = output;
}
-
+
+ public void setShowPlots(boolean show) {
+ this.showPlots = show;
+ }
+
+
+
public void setRawTrackerHitCollectionName(String rawTrackerHitCollectionName) {
this.rawTrackerHitCollectionName = rawTrackerHitCollectionName;
}
@@ -602,8 +828,8 @@
// System.out.println("TrackingReconstructionPlots::corrected helical track position = "+htc.getCorrectedPosition().toString());
}
List<HelicalTrackHit> hthList = event.get(HelicalTrackHit.class, helicalTrackHitCollectionName);
- int[] layersTop = {0, 0, 0, 0, 0, 0, 0, 0, 0, 0};
- int[] layersBot = {0, 0, 0, 0, 0, 0, 0, 0, 0, 0};
+ int[] layersTop = {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0};
+ int[] layersBot = {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0};
for (HelicalTrackHit hth : hthList) {
HelicalTrackCross htc = (HelicalTrackCross) hth;
// System.out.println("TrackingReconstructionPlots::original helical track position = "+hth.getPosition()[0]+","+hth.getPosition()[1]+","+hth.getPosition()[2]);
@@ -635,7 +861,7 @@
// aida.histogram2D("Layer 7 HTH Position: Bottom").fill(x - sensorPos.x(), y - sensorPos.y());
}
}
- for (int i = 0; i < 10; i++) {
+ for (int i = 0; i < 12; i++) {
aida.profile1D("Number of Stereo Hits per layer in Top Half").fill(i + 1, layersTop[i]);
aida.profile1D("Number of Stereo Hits per layer in Bottom Half").fill(i + 1, layersBot[i]);
}
@@ -647,15 +873,26 @@
List<Track> tracks = event.get(Track.class, trackCollectionName);
nTracks.fill(tracks.size());
+ int nBotClusters = 0;
+ int nTopClusters = 0;
if (event.hasCollection(Cluster.class, ecalCollectionName)) {
List<Cluster> clusters = event.get(Cluster.class, ecalCollectionName);
for (Cluster cluster : clusters) {
+ // Get the ix and iy indices for the seed.
+ final int ix = cluster.getCalorimeterHits().get(0).getIdentifierFieldValue("ix");
+ final int iy = cluster.getCalorimeterHits().get(0).getIdentifierFieldValue("iy");
+
//System.out.println("cluser position = ("+cluster.getPosition()[0]+","+cluster.getPosition()[1]+") with energy = "+cluster.getEnergy());
if (cluster.getPosition()[1] > 0) {
+ nTopClusters++;
+ //System.out.println("cl " + cluster.getPosition()[0] + " " + cluster.getPosition()[1] + " ix " + ix + " iy " + iy);
aida.histogram2D("Top ECal Cluster Position").fill(cluster.getPosition()[0], cluster.getPosition()[1]);
+ aida.histogram1D("Top ECal Cluster Energy").fill(cluster.getEnergy());
}
if (cluster.getPosition()[1] < 0) {
+ nBotClusters++;
aida.histogram2D("Bottom ECal Cluster Position").fill(cluster.getPosition()[0], cluster.getPosition()[1]);
+ aida.histogram1D("Bottom ECal Cluster Energy").fill(cluster.getEnergy());
}
if (tracks.size() > 0) {
@@ -666,30 +903,40 @@
aida.histogram2D("Bottom ECal Cluster Position (>0 tracks)").fill(cluster.getPosition()[0], cluster.getPosition()[1]);
}
- if (cluster.getEnergy() > 100) {
+ if (cluster.getEnergy() > 0.1) {
if (cluster.getPosition()[1] > 0) {
- aida.histogram2D("Top ECal Cluster Position (E>100,>0 tracks)").fill(cluster.getPosition()[0], cluster.getPosition()[1]);
- aida.histogram2D("Top ECal Cluster Position w_E (E>100,>0 tracks)").fill(cluster.getPosition()[0], cluster.getPosition()[1], cluster.getEnergy());
+ aida.histogram2D("Top ECal Cluster Position (E>0.1,>0 tracks)").fill(cluster.getPosition()[0], cluster.getPosition()[1]);
+ aida.histogram2D("Top ECal Cluster Position w_E (E>0.1,>0 tracks)").fill(cluster.getPosition()[0], cluster.getPosition()[1], cluster.getEnergy());
}
if (cluster.getPosition()[1] < 0) {
- aida.histogram2D("Bottom ECal Cluster Position (E>100,>0 tracks)").fill(cluster.getPosition()[0], cluster.getPosition()[1]);
- aida.histogram2D("Bottom ECal Cluster Position w_E (E>100,>0 tracks)").fill(cluster.getPosition()[0], cluster.getPosition()[1], cluster.getEnergy());
+ aida.histogram2D("Bottom ECal Cluster Position (E>0.1,>0 tracks)").fill(cluster.getPosition()[0], cluster.getPosition()[1]);
+ aida.histogram2D("Bottom ECal Cluster Position w_E (E>0.1,>0 tracks)").fill(cluster.getPosition()[0], cluster.getPosition()[1], cluster.getEnergy());
}
}
}
}
}
-
- List<SiTrackerHitStrip1D> stripHits = event.get(SiTrackerHitStrip1D.class, "StripClusterer_SiTrackerHitStrip1D");
- int stripClustersPerLayerTop[] = getStripClustersPerLayer(stripHits, "up");
+
+ aida.histogram1D("Number of Clusters Top").fill(nTopClusters);
+ aida.histogram1D("Number of Clusters Bot").fill(nBotClusters);
+
+
+
+
+
+ //List<SiTrackerHitStrip1D> stripHits = event.get(SiTrackerHitStrip1D.class, "StripClusterer_SiTrackerHitStrip1D");
+ //int stripClustersPerLayerTop[] = getStripClustersPerLayer(stripHits, "up");
//int stripClustersPerLayerBottom[] = getStripClustersPerLayer(stripHits,"down");
- boolean hasSingleStripClusterPerLayer = singleStripClusterPerLayer(stripClustersPerLayerTop);
-
+ //boolean hasSingleStripClusterPerLayer = singleStripClusterPerLayer(stripClustersPerLayerTop);
+
+ Map<Track, Cluster> eCanditates = new HashMap<Track, Cluster>();
+ Map<Track, Cluster> pCanditates = new HashMap<Track, Cluster>();
+
for (Track trk : tracks) {
- boolean isSingleHitPerLayerTrack = singleTrackHitPerLayer(trk);
+ //boolean isSingleHitPerLayerTrack = singleTrackHitPerLayer(trk);
aida.histogram1D("Track Momentum (Px)").fill(trk.getTrackStates().get(0).getMomentum()[1]);
aida.histogram1D("Track Momentum (Py)").fill(trk.getTrackStates().get(0).getMomentum()[2]);
@@ -704,18 +951,12 @@
StraightLineTrack slt = converter.Convert(ht);
Hep3Vector posAtEcal = TrackUtils.getTrackPositionAtEcal(trk);
-
+
aida.histogram1D("X (mm) @ Z=-60cm").fill(slt.getYZAtX(BeamlineConstants.HARP_POSITION_TESTRUN)[0]); //this is y in the tracker frame
aida.histogram1D("Y (mm) @ Z=-60cm").fill(slt.getYZAtX(BeamlineConstants.HARP_POSITION_TESTRUN)[1]); //this is z in the tracker frame
- //double sECAL = HelixUtils.PathToXPlane(ht, zEcal, 3000, 1).get(0);
aida.histogram1D("X (mm) @ Z=-150cm").fill(slt.getYZAtX(zAtColl)[0]);
aida.histogram1D("Y (mm) @ Z=-150cm").fill(slt.getYZAtX(zAtColl)[1]);
- //Straight line after field-region???
- //HelixConverter converterEcal = new HelixConverter(zAtDownStrPairSpec);
- //StraightLineTrack sltEcal = converterEcal.Convert(ht);
-// double sECAL = HelixUtils.PathToXPlane(ht, zEcal, 3000, 1).get(0);
-// Hep3Vector posonhelix = HelixUtils.PointOnHelix(ht, sECAL);//position in tracker coordinates!
aida.histogram1D("X (mm) @ ECAL").fill(posAtEcal.x());
aida.histogram1D("Y (mm) @ ECAL").fill(posAtEcal.y());
if (trk.getTrackStates().get(0).getMomentum()[0] > 1.0) {
@@ -742,11 +983,25 @@
aida.histogram1D("Top Track Momentum (Py)").fill(trk.getTrackStates().get(0).getMomentum()[2]);
aida.histogram1D("Top Track Momentum (Pz)").fill(trk.getTrackStates().get(0).getMomentum()[0]);
aida.histogram1D("Top Track Chi2").fill(trk.getChi2());
+
+ aida.histogram1D("d0 Top").fill(trk.getTrackStates().get(0).getParameter(ParameterName.d0.ordinal()));
+ aida.histogram1D("sinphi Top").fill(Math.sin(trk.getTrackStates().get(0).getParameter(ParameterName.phi0.ordinal())));
+ aida.histogram1D("omega Top").fill(trk.getTrackStates().get(0).getParameter(ParameterName.omega.ordinal()));
+ aida.histogram1D("tan(lambda) Top").fill(trk.getTrackStates().get(0).getParameter(ParameterName.tanLambda.ordinal()));
+ aida.histogram1D("z0 Top").fill(trk.getTrackStates().get(0).getParameter(ParameterName.z0.ordinal()));
+
} else {
aida.histogram1D("Bottom Track Momentum (Px)").fill(trk.getTrackStates().get(0).getMomentum()[1]);
aida.histogram1D("Bottom Track Momentum (Py)").fill(trk.getTrackStates().get(0).getMomentum()[2]);
aida.histogram1D("Bottom Track Momentum (Pz)").fill(trk.getTrackStates().get(0).getMomentum()[0]);
aida.histogram1D("Bottom Track Chi2").fill(trk.getChi2());
+
+ aida.histogram1D("d0 Bottom").fill(trk.getTrackStates().get(0).getParameter(ParameterName.d0.ordinal()));
+ aida.histogram1D("sinphi Bottom").fill(Math.sin(trk.getTrackStates().get(0).getParameter(ParameterName.phi0.ordinal())));
+ aida.histogram1D("omega Bottom").fill(trk.getTrackStates().get(0).getParameter(ParameterName.omega.ordinal()));
+ aida.histogram1D("tan(lambda) Bottom").fill(trk.getTrackStates().get(0).getParameter(ParameterName.tanLambda.ordinal()));
+ aida.histogram1D("z0 Bottom").fill(trk.getTrackStates().get(0).getParameter(ParameterName.z0.ordinal()));
+
}
List<TrackerHit> hitsOnTrack = trk.getTrackerHits();
for (TrackerHit hit : hitsOnTrack) {
@@ -773,6 +1028,9 @@
}
if (layer == 9) {
modNum = "Module 5 ";
+ }
+ if (layer == 11) {
+ modNum = "Module 6 ";
}
SymmetricMatrix cov = htc.getCorrectedCovMatrix();
@@ -814,87 +1072,206 @@
aida.histogram2D("Layer 7 HTH Position: Bottom").fill(x - sensorPos.x(), y - sensorPos.y());
}
}
- /*
- List<RawTrackerHit> rawHits = hit.getRawHits();
- for (RawTrackerHit rawHit : rawHits) {
- ChannelConstants constants = HPSSVTCalibrationConstants.getChannelConstants((SiSensor) rawHit.getDetectorElement(), rawHit.getIdentifierFieldValue("strip"));
- HPSShapeFitParameters fit = _shaper.fitShape(rawHit, constants);
- double amp = fit.getAmp();
-
- aida.histogram1D("Amp (HitOnTrack)").fill(amp);
- if (trk.getTrackStates().get(0).getMomentum()[0] > 1)
- aida.histogram1D("Amp Pz>1000 (HitOnTrack)").fill(amp);
- }
- */
- boolean doAmplitudePlots = false;
+
+ boolean doAmplitudePlots = true;
if(doAmplitudePlots) {
for (HelicalTrackStrip hts : htcross.getStrips()) {
double clusterSum = 0;
+ double clusterT0 = 0;
+ int nHitsCluster = 0;
+
for (RawTrackerHit rawHit : (List<RawTrackerHit>) hts.rawhits()) {
- for (ShapeFitParameters fit : _shaper.fitShape(rawHit,new PulseShape.CRRC())) {
- double amp = fit.getAmp();
- clusterSum += amp;
- aida.histogram1D("Amp (HitOnTrack)").fill(amp);
- if (trk.getTrackStates().get(0).getMomentum()[0] > 1) {
- aida.histogram1D("Amp Pz>1000 (HitOnTrack)").fill(amp);
+ if(event.hasCollection(LCRelation.class, "SVTFittedRawTrackerHits")) {
+ List<LCRelation> fittedHits = event.get(LCRelation.class, "SVTFittedRawTrackerHits");
+ for(LCRelation fittedHit : fittedHits) {
+ if(rawHit.equals((RawTrackerHit)fittedHit.getFrom())) {
+ double amp = FittedRawTrackerHit.getAmp(fittedHit);
+ double t0 = FittedRawTrackerHit.getT0(fittedHit);
+ //System.out.println("to="+t0 + " amp=" + amp);
+ aida.histogram1D("Amp (HitOnTrack)").fill(amp);
+ if (trk.getTrackStates().get(0).getMomentum()[0] > 0.8) {
+ aida.histogram1D("Amp Pz>0.8 (HitOnTrack)").fill(amp);
+ }
+ aida.histogram1D("t0 (HitOnTrack)").fill(t0);
+ if (trk.getTrackStates().get(0).getMomentum()[0] > 0.8) {
+ aida.histogram1D("t0 Pz>0.8 (HitOnTrack)").fill(t0);
+ }
+ clusterSum += amp;
+ clusterT0 += t0;
+ nHitsCluster++;
+ }
+ }
}
+ }
+
+ aida.histogram1D("Hits in Cluster (HitOnTrack)").fill(nHitsCluster);
+ aida.histogram1D("Cluster Amp (HitOnTrack)").fill(clusterSum);
+ if (trk.getTrackStates().get(0).getMomentum()[0] > 0.8) {
+ aida.histogram1D("Cluster Amp Pz>0.8 (HitOnTrack)").fill(clusterSum);
+ }
+ if(nHitsCluster>0) {
+ aida.histogram1D("Cluster t0 (HitOnTrack)").fill(clusterT0/nHitsCluster);
+ if (trk.getTrackStates().get(0).getMomentum()[0] > 0.8) {
+ aida.histogram1D("Cluster t0 Pz>0.8 (HitOnTrack)").fill(clusterT0/nHitsCluster);
}
}
- aida.histogram1D("Amp (CluOnTrack)").fill(clusterSum);
- if (trk.getTrackStates().get(0).getMomentum()[0] > 1) {
- aida.histogram1D("Amp Pz>1000 (CluOnTrack)").fill(clusterSum);
- }
- }
- }
- }
+
+ }
+ }
+ }
+ Cluster clust = null;
if(event.hasCollection(Cluster.class,ecalCollectionName)) {
List<Cluster> clusters = event.get(Cluster.class, ecalCollectionName);
- Cluster clust = findClosestCluster(posAtEcal, clusters);
-
- // if (clust != null) {
- if (clust != null) {
-
- posAtEcal = TrackUtils.extrapolateTrack(trk, clust.getPosition()[2]);//.positionAtEcal();
-
- aida.histogram2D("Energy Vs Momentum").fill(clust.getEnergy(), trk.getTrackStates().get(0).getMomentum()[0] * 1000.0);
- aida.histogram1D("Energy Over Momentum").fill(clust.getEnergy() / (trk.getTrackStates().get(0).getMomentum()[0] * 1000.0));
- aida.histogram1D("deltaX").fill(clust.getPosition()[0] - posAtEcal.x());
- aida.histogram1D("deltaY").fill(clust.getPosition()[1] - posAtEcal.y());
- // if (trk.getTrackStates().get(0).getMomentum()[0] > 1.0) {
- // aida.histogram1D("deltaX (Pz>1)").fill(clust.getPosition()[0] - posAtEcal.y());
- // aida.histogram1D("deltaY (Pz>1)").fill(clust.getPosition()[1] - posAtEcal.z());
- // }
- aida.histogram2D("X ECal Vs Track").fill(clust.getPosition()[0], posAtEcal.x());
- aida.histogram2D("Y ECal Vs Track").fill(clust.getPosition()[1], posAtEcal.y());
- if (isTop == 0) {
- aida.histogram2D("Top Energy Vs Momentum").fill(clust.getEnergy(), trk.getTrackStates().get(0).getMomentum()[0] * 1000.0);
- // aida.histogram2D("Top Energy Vs Momentum").fill(posAtEcal.y(), trk.getTrackStates().get(0).getMomentum()[0] * 1000.0);
- aida.histogram1D("Top Energy Over Momentum").fill(clust.getEnergy() / (trk.getTrackStates().get(0).getMomentum()[0] * 1000.0));
- aida.histogram1D("Top deltaX").fill(clust.getPosition()[0] - posAtEcal.x());
- aida.histogram1D("Top deltaY").fill(clust.getPosition()[1] - posAtEcal.y());
- aida.histogram2D("Top deltaX vs X").fill(clust.getPosition()[0], clust.getPosition()[0] - posAtEcal.x());
- aida.histogram2D("Top deltaY vs Y").fill(clust.getPosition()[1], clust.getPosition()[1] - posAtEcal.y());
- aida.histogram2D("Top X ECal Vs Track").fill(clust.getPosition()[0], posAtEcal.x());
- aida.histogram2D("Top Y ECal Vs Track").fill(clust.getPosition()[1], posAtEcal.y());
- } else {
- aida.histogram2D("Bottom Energy Vs Momentum").fill(clust.getEnergy(), trk.getTrackStates().get(0).getMomentum()[0] * 1000.0);
- aida.histogram1D("Bottom Energy Over Momentum").fill(clust.getEnergy() / (trk.getTrackStates().get(0).getMomentum()[0] * 1000.0));
- aida.histogram1D("Bottom deltaX").fill(clust.getPosition()[0] - posAtEcal.x());
- aida.histogram1D("Bottom deltaY").fill(clust.getPosition()[1] - posAtEcal.y());
- aida.histogram2D("Bottom deltaX vs X").fill(clust.getPosition()[0], clust.getPosition()[0] - posAtEcal.x());
- aida.histogram2D("Bottom deltaY vs Y").fill(clust.getPosition()[1], clust.getPosition()[1] - posAtEcal.y());
- aida.histogram2D("Bottom X ECal Vs Track").fill(clust.getPosition()[0], posAtEcal.x());
- aida.histogram2D("Bottom Y ECal Vs Track").fill(clust.getPosition()[1], posAtEcal.y());
- }
-
- }
- }
- }
+ Cluster cand_clust = findClosestCluster(posAtEcal, clusters);
+
+ if (cand_clust != null) {
+
+ // track matching requirement
+ if(Math.abs( posAtEcal.x() - cand_clust.getPosition()[0])<30.0 &&
+ Math.abs( posAtEcal.y() - cand_clust.getPosition()[1])<30.0)
+ {
+ clust = cand_clust;
+ if(trk.getCharge()<0) pCanditates.put(trk, clust);
+ else eCanditates.put(trk, clust);
+
+ posAtEcal = TrackUtils.extrapolateTrack(trk, clust.getPosition()[2]);//.positionAtEcal();
+
+ aida.histogram2D("Energy Vs Momentum").fill(clust.getEnergy(), trk.getTrackStates().get(0).getMomentum()[0]);
+ aida.histogram1D("Energy Over Momentum").fill(clust.getEnergy() / (trk.getTrackStates().get(0).getMomentum()[0] ));
+ aida.histogram1D("deltaX").fill(clust.getPosition()[0] - posAtEcal.x());
+ aida.histogram1D("deltaY").fill(clust.getPosition()[1] - posAtEcal.y());
+ aida.histogram2D("X ECal Vs Track").fill(clust.getPosition()[0], posAtEcal.x());
+ aida.histogram2D("Y ECal Vs Track").fill(clust.getPosition()[1], posAtEcal.y());
+
+ if (isTop == 0) {
+ aida.histogram1D("Tracks matched Top").fill(1);
+ if(trk.getTrackStates().get(0).getMomentum()[0] > 0.8){
+ aida.histogram1D("Tracks matched Top (Pz>0.8)").fill(1);
+ }
+
+ aida.histogram2D("Top Energy Vs Momentum").fill(clust.getEnergy(), trk.getTrackStates().get(0).getMomentum()[0] );
+ // aida.histogram2D("Top Energy Vs Momentum").fill(posAtEcal.y(), trk.getTrackStates().get(0).getMomentum()[0]);
+ aida.histogram1D("Top Energy Over Momentum").fill(clust.getEnergy() / (trk.getTrackStates().get(0).getMomentum()[0]));
+ aida.histogram1D("Top deltaX").fill(clust.getPosition()[0] - posAtEcal.x());
+ aida.histogram1D("Top deltaY").fill(clust.getPosition()[1] - posAtEcal.y());
+ aida.histogram2D("Top deltaX vs X").fill(clust.getPosition()[0], clust.getPosition()[0] - posAtEcal.x());
+ aida.histogram2D("Top deltaY vs Y").fill(clust.getPosition()[1], clust.getPosition()[1] - posAtEcal.y());
+ aida.histogram2D("Top X ECal Vs Track").fill(clust.getPosition()[0], posAtEcal.x());
+ aida.histogram2D("Top Y ECal Vs Track").fill(clust.getPosition()[1], posAtEcal.y());
+ } else {
+ aida.histogram1D("Tracks matched Bottom").fill(1);
+ if(trk.getTrackStates().get(0).getMomentum()[0] > 0.8){
+ aida.histogram1D("Tracks matched Bottom (Pz>0.8)").fill(1);
+ }
+ aida.histogram2D("Bottom Energy Vs Momentum").fill(clust.getEnergy(), trk.getTrackStates().get(0).getMomentum()[0] );
+ aida.histogram1D("Bottom Energy Over Momentum").fill(clust.getEnergy() / (trk.getTrackStates().get(0).getMomentum()[0]));
+ aida.histogram1D("Bottom deltaX").fill(clust.getPosition()[0] - posAtEcal.x());
+ aida.histogram1D("Bottom deltaY").fill(clust.getPosition()[1] - posAtEcal.y());
+ aida.histogram2D("Bottom deltaX vs X").fill(clust.getPosition()[0], clust.getPosition()[0] - posAtEcal.x());
+ aida.histogram2D("Bottom deltaY vs Y").fill(clust.getPosition()[1], clust.getPosition()[1] - posAtEcal.y());
+ aida.histogram2D("Bottom X ECal Vs Track").fill(clust.getPosition()[0], posAtEcal.x());
+ aida.histogram2D("Bottom Y ECal Vs Track").fill(clust.getPosition()[1], posAtEcal.y());
+ }
+ }
+ }
+ }
+
+ if (clust != null) {
+ aida.histogram1D("Tracks matched").fill(0);
+ if(trk.getTrackStates().get(0).getMomentum()[0] > 0.8){
+ aida.histogram1D("Tracks matched (Pz>0.8)").fill(0);
+ }
+ if(isTop == 0) {
+ aida.histogram1D("Tracks matched Top").fill(0);
+ if(trk.getTrackStates().get(0).getMomentum()[0] > 0.8){
+ aida.histogram1D("Tracks matched Top (Pz>0.8)").fill(0);
+ }
+ } else {
+ aida.histogram1D("Tracks matched Bottom").fill(0);
+ if(trk.getTrackStates().get(0).getMomentum()[0] > 0.8){
+ aida.histogram1D("Tracks matched Bottom (Pz>0.8)").fill(0);
+ }
+ }
+ } else {
+ aida.histogram1D("Tracks matched").fill(1);
+ if(trk.getTrackStates().get(0).getMomentum()[0] > 0.8){
+ aida.histogram1D("Tracks matched (Pz>0.8)").fill(1);
+ }
+
+ if (isTop == 0) {
+ aida.histogram1D("Tracks matched Top").fill(1);
+ if(trk.getTrackStates().get(0).getMomentum()[0] > 0.8){
+ aida.histogram1D("Tracks matched Top (Pz>0.8)").fill(1);
+ }
+ } else {
+ aida.histogram1D("Tracks matched Bottom").fill(1);
+ if(trk.getTrackStates().get(0).getMomentum()[0] > 0.8){
+ aida.histogram1D("Tracks matched Bottom (Pz>0.8)").fill(1);
+ }
+ }
+
+ }
+
+ }
+
+ // e+/e-
+ Map.Entry<Track, Cluster> ecand_highestP = null;
+ double e_pmax = -1;
+ Map.Entry<Track, Cluster> pcand_highestP = null;
+ double p_pmax = -1;
+ for(Map.Entry<Track, Cluster> ecand : eCanditates.entrySet()) {
+ double p = getMomentum(ecand.getKey());
+ aida.histogram1D("p(e-)").fill(p);
+ if(ecand_highestP == null ) {
+ ecand_highestP = ecand;
+ e_pmax = getMomentum(ecand_highestP.getKey());
+ } else {
+ if(p > e_pmax) {
+ ecand_highestP = ecand;
+ e_pmax = getMomentum(ecand_highestP.getKey());
+ }
+ }
+ }
+
+ for(Map.Entry<Track, Cluster> pcand : pCanditates.entrySet()) {
+ double p = getMomentum(pcand.getKey());
+ aida.histogram1D("p(e+)").fill(p);
+ if(pcand_highestP == null ) {
+ pcand_highestP = pcand;
+ p_pmax = getMomentum(pcand_highestP.getKey());
+ } else {
+ if(p > p_pmax) {
+ pcand_highestP = pcand;
+ p_pmax = getMomentum(pcand_highestP.getKey());
+ }
+ }
+ }
+
+ aida.histogram1D("n(e-)").fill(eCanditates.size());
+ aida.histogram1D("n(e+)").fill(pCanditates.size());
+ if(ecand_highestP!=null) {
+ aida.histogram1D("p(e-) max").fill(e_pmax);
+ }
+ if(pcand_highestP!=null) {
+ aida.histogram1D("p(e+) max").fill(p_pmax);
+ }
+ if(ecand_highestP!=null && pcand_highestP!=null) {
+ aida.histogram2D("p(e-) vs p(e+) max").fill(e_pmax, p_pmax);
+ }
+
+
+ }
+
+ private double getMomentum(Track trk) {
+ double p = Math.sqrt(trk.getTrackStates().get(0).getMomentum()[0]*trk.getTrackStates().get(0).getMomentum()[0] +
+ trk.getTrackStates().get(0).getMomentum()[1]*trk.getTrackStates().get(0).getMomentum()[1] +
+ trk.getTrackStates().get(0).getMomentum()[2]*trk.getTrackStates().get(0).getMomentum()[2]);
+ return p;
}
public int[] getTrackHitsPerLayer(Track trk) {
- int n[] = {0, 0, 0, 0, 0};
+ int n[] = {0, 0, 0, 0, 0, 0};
List<TrackerHit> hitsOnTrack = trk.getTrackerHits();
int layer;
for (TrackerHit hit : hitsOnTrack) {
@@ -935,8 +1312,8 @@
String name;
int l;
int i;
- int n[] = {0, 0, 0, 0, 0, 0, 0, 0, 0, 0};
- boolean ddd = true;
+ int n[] = {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0};
+ boolean ddd = false;
if (ddd) {
System.out.println("Get # hits per layer on side \"" + side + "\"");
@@ -1001,7 +1378,7 @@
System.out.println("sensor name " + name + " --> layer " + l);
}
- if (l < 1 || l > 10) {
+ if (l < 1 || l > 12) {
System.out.println("This layer doesn't exist?");
throw new RuntimeException("SiSensor name " + name + " is invalid?");
}
@@ -1027,6 +1404,8 @@
//bottomFrame.dispose();
}
+
+
private Cluster findClosestCluster(Hep3Vector posonhelix, List<Cluster> clusters) {
Cluster closest = null;
double minDist = 9999;
@@ -1034,16 +1413,13 @@
double[] clPos = cluster.getPosition();
double clEne = cluster.getEnergy();
double dist = Math.sqrt(Math.pow(clPos[0] - posonhelix.x(), 2) + Math.pow(clPos[1] - posonhelix.y(), 2)); //coordinates!!!
-// double dist = Math.sqrt(Math.pow(clPos[1] - posonhelix.z(), 2)); //coordinates!!!
- if (dist < minDist && clEne > 50) {
+ double distX = Math.abs(clPos[0] - posonhelix.x());
+ double distY = Math.abs(clPos[1] - posonhelix.y());
+ if (dist < minDist && clEne > 0.4) {
closest = cluster;
minDist = dist;
}
-// if(cluster.getEnergy()/10>500)
- }
-// System.out.println("Found a cluster..." + minDist);
-
+ }
return closest;
-
}
}
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