Author: phansson
Date: Wed Dec 10 18:18:11 2014
New Revision: 1682
Log:
started to clean up and adjusted so that I can use it for the new detector. Is someone actually looking at these?
Modified:
java/trunk/monitoring-drivers/src/main/java/org/hps/monitoring/drivers/svt/TrackingReconstructionPlots.java
Modified: java/trunk/monitoring-drivers/src/main/java/org/hps/monitoring/drivers/svt/TrackingReconstructionPlots.java
=============================================================================
--- java/trunk/monitoring-drivers/src/main/java/org/hps/monitoring/drivers/svt/TrackingReconstructionPlots.java (original)
+++ java/trunk/monitoring-drivers/src/main/java/org/hps/monitoring/drivers/svt/TrackingReconstructionPlots.java Wed Dec 10 18:18:11 2014
@@ -40,6 +40,7 @@
import org.lcsim.fit.helicaltrack.HelixUtils;
import org.lcsim.geometry.Detector;
import org.lcsim.geometry.IDDecoder;
+import org.lcsim.geometry.compact.converter.HPSTrackerBuilder;
import org.lcsim.recon.tracking.digitization.sisim.SiTrackerHitStrip1D;
import org.lcsim.recon.tracking.seedtracker.SeedCandidate;
import org.lcsim.recon.tracking.seedtracker.SeedTrack;
@@ -56,20 +57,12 @@
//private AIDAFrame topFrame;
//private AIDAFrame bottomFrame;
private AIDA aida = AIDA.defaultInstance();
- private String rawTrackerHitCollectionName = "SVTRawTrackerHits";
- private String fittedTrackerHitCollectionName = "SVTFittedRawTrackerHits";
- private String trackerHitCollectionName = "StripClusterer_SiTrackerHitStrip1D";
private String helicalTrackHitCollectionName = "HelicalTrackHits";
private String rotatedTrackHitCollectionName = "RotatedHelicalTrackHits";
- private String helicalTrackHitRelationsCollectionName = "HelicalTrackHitRelations";
private String trackCollectionName = "MatchedTracks";
- 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;
@@ -98,10 +91,10 @@
IHistogram1D trkPx;
IHistogram1D nTracks;
ShaperFitAlgorithm _shaper = new DumbShaperFit();
+ private boolean shapeFit = false;
@Override
protected void detectorChanged(Detector detector) {
- this.detector = detector;
aida.tree().cd("/");
//plotterFrame = new AIDAFrame();
//plotterFrame.setTitle("HPS Tracking Plots");
@@ -110,8 +103,7 @@
//topFrame.setTitle("Top Tracking Plots");
//bottomFrame = new AIDAFrame();
//bottomFrame.setTitle("Bottom Tracking Plots");
- sensors = detector.getSubdetector(trackerName).getDetectorElement().findDescendants(SiSensor.class);
-
+
IAnalysisFactory fac = aida.analysisFactory();
plotter = fac.createPlotterFactory().create("HPS Tracking Plots");
plotter.setTitle("Momentum");
@@ -122,7 +114,7 @@
//plotterFrame.addPlotter(plotter);
trkPx = aida.histogram1D("Track Momentum (Px)", 25, -0.25, 0.25);
- IHistogram1D trkPy = aida.histogram1D("Track Momentum (Py)", 25, -0.1, 0.1);
+ IHistogram1D trkPy = aida.histogram1D("Track Momentum (Py)", 25, -0.5, 0.5);
IHistogram1D trkPz = aida.histogram1D("Track Momentum (Pz)", 25, 0, 3.5);
IHistogram1D trkChi2 = aida.histogram1D("Track Chi2", 25, 0, 25.0);
@@ -143,7 +135,7 @@
//topFrame.addPlotter(top1);
IHistogram1D toptrkPx = aida.histogram1D("Top Track Momentum (Px)", 25, -0.25, 0.25);
- IHistogram1D toptrkPy = aida.histogram1D("Top Track Momentum (Py)", 25, -0.1, 0.1);
+ 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 toptrkChi2 = aida.histogram1D("Top Track Chi2", 25, 0, 25.0);
@@ -163,7 +155,7 @@
//bottomFrame.addPlotter(bot1);
IHistogram1D bottrkPx = aida.histogram1D("Bottom Track Momentum (Px)", 25, -0.25, 0.25);
- IHistogram1D bottrkPy = aida.histogram1D("Bottom Track Momentum (Py)", 25, -0.1, 0.1);
+ 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 bottrkChi2 = aida.histogram1D("Bottom Track Chi2", 25, 0, 25.0);
@@ -247,7 +239,7 @@
IPlotterStyle style3 = plotter3.style();
style3.dataStyle().fillStyle().setColor("yellow");
style3.dataStyle().errorBarStyle().setVisible(false);
- plotter3.createRegions(5, 2);
+ plotter3.createRegions(6, 2);
double minResidY = -1.5;
double maxResidY = 1.5;
@@ -269,18 +261,23 @@
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);
plotter3.region(6).plot(mod4ResX);
plotter3.region(8).plot(mod5ResX);
+ plotter3.region(10).plot(mod6ResX);
plotter3.region(1).plot(mod1ResY);
plotter3.region(3).plot(mod2ResY);
plotter3.region(5).plot(mod3ResY);
plotter3.region(7).plot(mod4ResY);
plotter3.region(9).plot(mod5ResY);
+ plotter3.region(11).plot(mod6ResY);
plotter3_1 = fac.createPlotterFactory().create("HPS Residual Plots (Single hit per layer)");
plotter3_1.setTitle("Residuals (Top)");
@@ -288,7 +285,7 @@
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);
@@ -304,18 +301,23 @@
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);
plotter3_2 = fac.createPlotterFactory().create("HPS Residual Plots (Single strip cluster per layer)");
plotter3_2.setTitle("Residuals (Bottom)");
@@ -323,7 +325,7 @@
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);
@@ -339,18 +341,23 @@
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);
plotter4 = fac.createPlotterFactory().create("HPS Track and ECal Plots");
plotter4.setTitle("Track and ECal Correlations");
@@ -572,15 +579,12 @@
}
public void setRawTrackerHitCollectionName(String rawTrackerHitCollectionName) {
- this.rawTrackerHitCollectionName = rawTrackerHitCollectionName;
}
public void setFittedTrackerHitCollectionName(String fittedTrackerHitCollectionName) {
- this.fittedTrackerHitCollectionName = fittedTrackerHitCollectionName;
}
public void setTrackerHitCollectionName(String trackerHitCollectionName) {
- this.trackerHitCollectionName = trackerHitCollectionName;
}
public void setHelicalTrackHitCollectionName(String helicalTrackHitCollectionName) {
@@ -595,57 +599,28 @@
public void process(EventHeader event) {
aida.tree().cd("/");
if (!event.hasCollection(HelicalTrackHit.class, helicalTrackHitCollectionName)) {
-// System.out.println(helicalTrackHitCollectionName + " does not exist; skipping event");
return;
}
- List<HelicalTrackHit> rotList = event.get(HelicalTrackHit.class, rotatedTrackHitCollectionName);
- for (HelicalTrackHit hth : rotList) {
- HelicalTrackCross htc = (HelicalTrackCross) hth;
-// System.out.println("TrackingReconstructionPlots::original helical track position = "+hth.getPosition()[0]+","+hth.getPosition()[1]+","+hth.getPosition()[2]);
-// 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]);
-// System.out.println("TrackingReconstructionPlots::corrected helical track position = "+htc.getCorrectedPosition().toString());
- //These Helical Track Hits are in the JLAB frame
-// htc.resetTrackDirection();
- double x = htc.getPosition()[0];
- double y = htc.getPosition()[1];
HpsSiSensor sensor = ((HpsSiSensor) ((RawTrackerHit) htc.getRawHits().get(0)).getDetectorElement());
- //===> if (SvtUtils.getInstance().isTopLayer(sensor)) {
if (sensor.isTopLayer()) {
layersTop[htc.Layer() - 1]++;
- Hep3Vector sensorPos = ((SiSensor) ((RawTrackerHit) htc.getRawHits().get(0)).getDetectorElement()).getGeometry().getPosition();
- if (htc.Layer() == 1) {
-// System.out.println(sensorPos.toString());
-// System.out.println("Hit X = " + x + "; Hit Y = " + y);
-// aida.histogram2D("Layer 1 HTH Position: Top").fill(x - sensorPos.x(), y - sensorPos.y());
- }
-// if (htc.Layer() == 7)
-// aida.histogram2D("Layer 7 HTH Position: Top").fill(x - sensorPos.x(), y - sensorPos.y());
} else {
layersBot[htc.Layer() - 1]++;
- Hep3Vector sensorPos = ((SiSensor) ((RawTrackerHit) htc.getRawHits().get(0)).getDetectorElement()).getGeometry().getPosition();
- if (htc.Layer() == 1) {
-// System.out.println(sensorPos.toString());
-// System.out.println("Hit X = " + x + "; Hit Y = " + y);
-// aida.histogram2D("Layer 1 HTH Position: Bottom").fill(x - sensorPos.x(), y - sensorPos.y());
- }
-// if (htc.Layer() == 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]);
}
if (!event.hasCollection(Track.class, trackCollectionName)) {
-// System.out.println(trackCollectionName + " does not exist; skipping event");
aida.histogram1D("Number Tracks/Event").fill(0);
return;
}
@@ -655,7 +630,6 @@
if (event.hasCollection(HPSEcalCluster.class, ecalCollectionName)) {
List<HPSEcalCluster> clusters = event.get(HPSEcalCluster.class, ecalCollectionName);
for (HPSEcalCluster cluster : clusters) {
- //System.out.println("cluser position = ("+cluster.getPosition()[0]+","+cluster.getPosition()[1]+") with energy = "+cluster.getEnergy());
if (cluster.getPosition()[1] > 0) {
aida.histogram2D("Top ECal Cluster Position").fill(cluster.getPosition()[0], cluster.getPosition()[1]);
}
@@ -778,6 +752,9 @@
}
if (layer == 9) {
modNum = "Module 5 ";
+ }
+ if (layer == 11) {
+ modNum = "Module 6 ";
}
SymmetricMatrix cov = htc.getCorrectedCovMatrix();
@@ -831,73 +808,76 @@
aida.histogram1D("Amp Pz>1000 (HitOnTrack)").fill(amp);
}
*/
-
- for (HelicalTrackStrip hts : htcross.getStrips()) {
- double clusterSum = 0;
- for (RawTrackerHit rawHit : (List<RawTrackerHit>) hts.rawhits()) {
- //===> ChannelConstants constants = HPSSVTCalibrationConstants.getChannelConstants((SiSensor) rawHit.getDetectorElement(), rawHit.getIdentifierFieldValue("strip"));
- //===>for (ShapeFitParameters fit : _shaper.fitShape(rawHit, constants)) {
- for (ShapeFitParameters fit : _shaper.fitShape(rawHit)) {
- double amp = fit.getAmp();
- clusterSum += amp;
- aida.histogram1D("Amp (HitOnTrack)").fill(amp);
+ if(isShapeFit()) {
+ for (HelicalTrackStrip hts : htcross.getStrips()) {
+ double clusterSum = 0;
+ for (RawTrackerHit rawHit : (List<RawTrackerHit>) hts.rawhits()) {
+ //===> ChannelConstants constants = HPSSVTCalibrationConstants.getChannelConstants((SiSensor) rawHit.getDetectorElement(), rawHit.getIdentifierFieldValue("strip"));
+ //===>for (ShapeFitParameters fit : _shaper.fitShape(rawHit, constants)) {
+ for (ShapeFitParameters fit : _shaper.fitShape(rawHit)) {
+ double amp = fit.getAmp();
+ clusterSum += amp;
+ aida.histogram1D("Amp (HitOnTrack)").fill(amp);
+ if (trk.getPX() > 1) {
+ aida.histogram1D("Amp Pz>1000 (HitOnTrack)").fill(amp);
+ }
+ }
+ aida.histogram1D("Amp (CluOnTrack)").fill(clusterSum);
if (trk.getPX() > 1) {
- aida.histogram1D("Amp Pz>1000 (HitOnTrack)").fill(amp);
+ aida.histogram1D("Amp Pz>1000 (CluOnTrack)").fill(clusterSum);
}
}
}
- aida.histogram1D("Amp (CluOnTrack)").fill(clusterSum);
- if (trk.getPX() > 1) {
- aida.histogram1D("Amp Pz>1000 (CluOnTrack)").fill(clusterSum);
+ }
+ }
+ if(event.hasCollection(HPSEcalCluster.class,ecalCollectionName)) {
+ List<HPSEcalCluster> clusters = event.get(HPSEcalCluster.class, ecalCollectionName);
+
+ HPSEcalCluster 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.getPX() * 1000.0);
+ aida.histogram1D("Energy Over Momentum").fill(clust.getEnergy() / (trk.getPX() * 1000.0));
+ aida.histogram1D("deltaX").fill(clust.getPosition()[0] - posAtEcal.x());
+ aida.histogram1D("deltaY").fill(clust.getPosition()[1] - posAtEcal.y());
+ // if (trk.getPX() > 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.getPX() * 1000.0);
+ // aida.histogram2D("Top Energy Vs Momentum").fill(posAtEcal.y(), trk.getPX() * 1000.0);
+ aida.histogram1D("Top Energy Over Momentum").fill(clust.getEnergy() / (trk.getPX() * 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.getPX() * 1000.0);
+ aida.histogram1D("Bottom Energy Over Momentum").fill(clust.getEnergy() / (trk.getPX() * 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());
}
- }
- }
- List<HPSEcalCluster> clusters = event.get(HPSEcalCluster.class, ecalCollectionName);
- HPSEcalCluster 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.getPX() * 1000.0);
- aida.histogram1D("Energy Over Momentum").fill(clust.getEnergy() / (trk.getPX() * 1000.0));
- aida.histogram1D("deltaX").fill(clust.getPosition()[0] - posAtEcal.x());
- aida.histogram1D("deltaY").fill(clust.getPosition()[1] - posAtEcal.y());
-// if (trk.getPX() > 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.getPX() * 1000.0);
-// aida.histogram2D("Top Energy Vs Momentum").fill(posAtEcal.y(), trk.getPX() * 1000.0);
- aida.histogram1D("Top Energy Over Momentum").fill(clust.getEnergy() / (trk.getPX() * 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.getPX() * 1000.0);
- aida.histogram1D("Bottom Energy Over Momentum").fill(clust.getEnergy() / (trk.getPX() * 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());
- }
-
- }
-
+
+ }
+ }
}
}
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) {
@@ -914,7 +894,7 @@
public boolean singleTrackHitPerLayer(Track track) {
int hitsPerLayer[] = getTrackHitsPerLayer(track);
- for (int i = 0; i < 5; ++i) {
+ for (int i = 0; i < 6; ++i) {
if (hitsPerLayer[i] != 1) {
return false;
}
@@ -925,7 +905,7 @@
public boolean singleStripClusterPerLayer(int hitsPerLayer[]) {
//This includes both axial and stereo separately
// so for a hit in each double layer we need 10 hits
- for (int i = 0; i < 10; ++i) {
+ for (int i = 0; i < 12; ++i) {
if (hitsPerLayer[i] != 1) {
return false;
}
@@ -934,12 +914,10 @@
}
public int[] getStripClustersPerLayer(List<SiTrackerHitStrip1D> trackerHits, String side) {
- String si_side;
String name;
int l;
- int i;
- int n[] = {0, 0, 0, 0, 0, 0, 0, 0, 0, 0};
- boolean ddd = false;
+ int n[] = {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0};
+ boolean ddd = true;
if (ddd) {
System.out.println("Get # hits per layer on side \"" + side + "\"");
@@ -972,16 +950,40 @@
if (ddd) {
System.out.println("sensor name " + name);
}
-
- //String str_l = name.substring(13);
- String str_l = name.substring(name.indexOf("layer") + 5, name.indexOf("_module"));
- l = Integer.parseInt(str_l);
-
+
+ if(name.contains("layer") && name.contains("_module")) {
+ //String str_l = name.substring(13);
+ String str_l = name.substring(name.indexOf("layer") + 5, name.indexOf("_module"));
+ l = Integer.parseInt(str_l);
+ }
+ else if(name.contains("module") && name.contains("_halfmodule")) {
+ int ll = HPSTrackerBuilder.getLayerFromVolumeName(name);
+ boolean isAxial = HPSTrackerBuilder.isAxialFromName(name);
+ boolean isTopLayer = HPSTrackerBuilder.getHalfFromName(name).equals("top") ? true : false;
+ if(isAxial) {
+ if(isTopLayer) {
+ l = 2*ll-1;
+ }
+ else {
+ l = 2*ll;
+ }
+ } else {
+ if(isTopLayer) {
+ l = 2*ll;
+ } else {
+ l = 2*ll-1;
+ }
+ }
+
+ } else {
+ throw new RuntimeException("Cannot get layer from name " + name);
+ }
+
if (ddd) {
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?");
}
@@ -1047,6 +1049,8 @@
aida.histogram1D("Module 4 Residual Y(mm)").reset();
aida.histogram1D("Module 5 Residual X(mm)").reset();
aida.histogram1D("Module 5 Residual Y(mm)").reset();
+ aida.histogram1D("Module 6 Residual X(mm)").reset();
+ aida.histogram1D("Module 6 Residual Y(mm)").reset();
aida.histogram1D("Module 1 Residual X(mm) Top").reset();
aida.histogram1D("Module 1 Residual Y(mm) Top").reset();
aida.histogram1D("Module 2 Residual X(mm) Top").reset();
@@ -1057,6 +1061,8 @@
aida.histogram1D("Module 4 Residual Y(mm) Top").reset();
aida.histogram1D("Module 5 Residual X(mm) Top").reset();
aida.histogram1D("Module 5 Residual Y(mm) Top").reset();
+ aida.histogram1D("Module 6 Residual X(mm) Top").reset();
+ aida.histogram1D("Module 6 Residual Y(mm) Top").reset();
aida.histogram1D("Module 1 Residual X(mm) Bottom").reset();
aida.histogram1D("Module 1 Residual Y(mm) Bottom").reset();
aida.histogram1D("Module 2 Residual X(mm) Bottom").reset();
@@ -1067,6 +1073,8 @@
aida.histogram1D("Module 4 Residual Y(mm) Bottom").reset();
aida.histogram1D("Module 5 Residual X(mm) Bottom").reset();
aida.histogram1D("Module 5 Residual Y(mm) Bottom").reset();
+ aida.histogram1D("Module 6 Residual X(mm) Bottom").reset();
+ aida.histogram1D("Module 6 Residual Y(mm) Bottom").reset();
aida.histogram2D("Energy Vs Momentum").reset();
aida.histogram1D("Energy Over Momentum").reset();
@@ -1081,4 +1089,12 @@
aida.histogram1D("tan(lambda) ").reset();
aida.histogram1D("z0 ").reset();
}
+
+ public boolean isShapeFit() {
+ return shapeFit;
+ }
+
+ public void setShapeFit(boolean shapeFit) {
+ this.shapeFit = shapeFit;
+ }
}
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