Author: [log in to unmask]
Date: Fri Oct 9 20:16:44 2015
New Revision: 3836
Log:
Updated trident analysis plotting logic.
Modified:
java/trunk/users/src/main/java/org/hps/users/kmccarty/MTEAnalysis.java
java/trunk/users/src/main/java/org/hps/users/kmccarty/RafoAnalysis.java
java/trunk/users/src/main/java/org/hps/users/kmccarty/plots/formatter/TriggerPlotsFormat.java
Modified: java/trunk/users/src/main/java/org/hps/users/kmccarty/MTEAnalysis.java
=============================================================================
--- java/trunk/users/src/main/java/org/hps/users/kmccarty/MTEAnalysis.java (original)
+++ java/trunk/users/src/main/java/org/hps/users/kmccarty/MTEAnalysis.java Fri Oct 9 20:16:44 2015
@@ -66,8 +66,8 @@
private IHistogram1D trTimeCoincidenceFiducial = aida.histogram1D("Trident/Time Coincidence (Fiducial Region)", 300, -15.0, 15.0);
private IHistogram1D trEnergySumAll = aida.histogram1D("Trident/Energy Sum", 300, 0.0, 1.5);
private IHistogram1D trEnergySumFiducial = aida.histogram1D("Trident/Energy Sum (Fiducial Region)", 300, 0.0, 1.5);
- private IHistogram2D trEnergySum2DAll = aida.histogram2D("Trident/First Cluster Energy vs. Second Cluster Energy", 300, 0, 1.5, 220, 0, 1.5);
- private IHistogram2D trEnergySum2DFiducial = aida.histogram2D("Trident/First Cluster Energy vs. Second Cluster Energy (Fiducial Region)", 300, 0, 1.5, 220, 0, 1.5);
+ private IHistogram2D trEnergySum2DAll = aida.histogram2D("Trident/First Cluster Energy vs. Second Cluster Energy", 300, 0, 1.5, 300, 0, 1.5);
+ private IHistogram2D trEnergySum2DFiducial = aida.histogram2D("Trident/First Cluster Energy vs. Second Cluster Energy (Fiducial Region)", 300, 0, 1.5, 300, 0, 1.5);
private IHistogram2D trSumCoplanarityAll = aida.histogram2D("Trident/Hardware Coplanarity vs. Energy Sum", 300, 0, 1.5, 115, 0, 180);
private IHistogram2D trSumCoplanarityFiducial = aida.histogram2D("Trident/Hardware Coplanarity vs. Energy Sum (Fiducial Region)", 300, 0, 1.5, 115, 0, 180);
private IHistogram2D trSumCoplanarityCalcAll = aida.histogram2D("Trident/Calculated Coplanarity vs. Energy Sum", 300, 0, 1.5, 115, 130, 230);
Modified: java/trunk/users/src/main/java/org/hps/users/kmccarty/RafoAnalysis.java
=============================================================================
--- java/trunk/users/src/main/java/org/hps/users/kmccarty/RafoAnalysis.java (original)
+++ java/trunk/users/src/main/java/org/hps/users/kmccarty/RafoAnalysis.java Fri Oct 9 20:16:44 2015
@@ -23,11 +23,11 @@
private AIDA aida = AIDA.defaultInstance();
private IHistogram1D t0TimeCoincidenceAll = aida.histogram1D("Tier 0/Time Coincidence", 300, -15.0, 15.0);
private IHistogram1D t0TimeCoincidenceFiducial = aida.histogram1D("Tier 0/Time Coincidence (Fiducial Region)", 300, -15.0, 15.0);
- private IHistogram1D t0EnergySumAll = aida.histogram1D("Tier 0/Energy Sum", 220, 0.0, 1.1);
- private IHistogram1D t0EnergySumFiducial = aida.histogram1D("Tier 0/Energy Sum (Fiducial Region)", 220, 0.0, 1.1);
+ private IHistogram1D t0EnergySumAll = aida.histogram1D("Tier 0/Energy Sum", 300, 0.0, 1.5);
+ private IHistogram1D t0EnergySumFiducial = aida.histogram1D("Tier 0/Energy Sum (Fiducial Region)", 300, 0.0, 1.5);
private IHistogram1D t0InvariantMassAll = aida.histogram1D("Tier 0/Invariant Mass", 2200, 0.0, 1.1);
- private IHistogram2D t0EnergySum2DAll = aida.histogram2D("Tier 0/Top Cluster Energy vs. Bottom Cluster Energy", 300, 0, 1.5, 220, 0, 1.1);
- private IHistogram2D t0EnergySum2DFiducial = aida.histogram2D("Tier 0/Top Cluster Energy vs. Bottom Cluster Energy (Fiducial Region)", 300, 0, 1.5, 220, 0, 1.1);
+ private IHistogram2D t0EnergySum2DAll = aida.histogram2D("Tier 0/Top Cluster Energy vs. Bottom Cluster Energy", 300, 0, 1.5, 300, 0, 1.5);
+ private IHistogram2D t0EnergySum2DFiducial = aida.histogram2D("Tier 0/Top Cluster Energy vs. Bottom Cluster Energy (Fiducial Region)", 300, 0, 1.5, 300, 0, 1.5);
private IHistogram2D t0SumCoplanarityAll = aida.histogram2D("Tier 0/Hardware Coplanarity vs. Energy Sum", 300, 0, 1.5, 115, 0, 230);
private IHistogram2D t0SumCoplanarityFiducial = aida.histogram2D("Tier 0/Hardware Coplanarity vs. Energy Sum (Fiducial Region)", 300, 0, 1.5, 115, 0, 230);
private IHistogram2D t0SumCoplanarityCalcAll = aida.histogram2D("Tier 0/Calculated Coplanarity vs. Energy Sum", 300, 0, 1.5, 115, 130, 230);
@@ -37,11 +37,11 @@
private IHistogram1D t1TimeCoincidenceAll = aida.histogram1D("Tier 1/Time Coincidence", 300, -15.0, 15.0);
private IHistogram1D t1TimeCoincidenceFiducial = aida.histogram1D("Tier 1/Time Coincidence (Fiducial Region)", 300, -15.0, 15.0);
- private IHistogram1D t1EnergySumAll = aida.histogram1D("Tier 1/Energy Sum", 220, 0.0, 1.1);
- private IHistogram1D t1EnergySumFiducial = aida.histogram1D("Tier 1/Energy Sum (Fiducial Region)", 220, 0.0, 1.1);
+ private IHistogram1D t1EnergySumAll = aida.histogram1D("Tier 1/Energy Sum", 300, 0.0, 1.5);
+ private IHistogram1D t1EnergySumFiducial = aida.histogram1D("Tier 1/Energy Sum (Fiducial Region)", 300, 0.0, 1.5);
private IHistogram1D t1InvariantMassAll = aida.histogram1D("Tier 1/Invariant Mass", 2200, 0.0, 1.1);
- private IHistogram2D t1EnergySum2DAll = aida.histogram2D("Tier 1/Top Cluster Energy vs. Bottom Cluster Energy", 300, 0, 1.5, 220, 0, 1.1);
- private IHistogram2D t1EnergySum2DFiducial = aida.histogram2D("Tier 1/Top Cluster Energy vs. Bottom Cluster Energy (Fiducial Region)", 300, 0, 1.5, 220, 0, 1.1);
+ private IHistogram2D t1EnergySum2DAll = aida.histogram2D("Tier 1/Top Cluster Energy vs. Bottom Cluster Energy", 300, 0, 1.5, 300, 0, 1.5);
+ private IHistogram2D t1EnergySum2DFiducial = aida.histogram2D("Tier 1/Top Cluster Energy vs. Bottom Cluster Energy (Fiducial Region)", 300, 0, 1.5, 300, 0, 1.5);
private IHistogram2D t1SumCoplanarityAll = aida.histogram2D("Tier 1/Hardware Coplanarity vs. Energy Sum", 300, 0, 1.5, 115, 0, 230);
private IHistogram2D t1SumCoplanarityFiducial = aida.histogram2D("Tier 1/Hardware Coplanarity vs. Energy Sum (Fiducial Region)", 300, 0, 1.5, 115, 0, 230);
private IHistogram2D t1SumCoplanarityCalcAll = aida.histogram2D("Tier 1/Calculated Coplanarity vs. Energy Sum", 300, 0, 1.5, 115, 130, 230);
@@ -51,11 +51,11 @@
private IHistogram1D t2TimeCoincidenceAll = aida.histogram1D("Tier 2/Time Coincidence", 300, -15.0, 15.0);
private IHistogram1D t2TimeCoincidenceFiducial = aida.histogram1D("Tier 2/Time Coincidence (Fiducial Region)", 300, -15.0, 15.0);
- private IHistogram1D t2EnergySumAll = aida.histogram1D("Tier 2/Energy Sum", 220, 0.0, 1.1);
- private IHistogram1D t2EnergySumFiducial = aida.histogram1D("Tier 2/Energy Sum (Fiducial Region)", 220, 0.0, 1.1);
+ private IHistogram1D t2EnergySumAll = aida.histogram1D("Tier 2/Energy Sum", 300, 0.0, 1.5);
+ private IHistogram1D t2EnergySumFiducial = aida.histogram1D("Tier 2/Energy Sum (Fiducial Region)", 300, 0.0, 1.5);
private IHistogram1D t2InvariantMassAll = aida.histogram1D("Tier 2/Invariant Mass", 2200, 0.0, 1.1);
- private IHistogram2D t2EnergySum2DAll = aida.histogram2D("Tier 2/Top Cluster Energy vs. Bottom Cluster Energy", 300, 0, 1.5, 220, 0, 1.1);
- private IHistogram2D t2EnergySum2DFiducial = aida.histogram2D("Tier 2/Top Cluster Energy vs. Bottom Cluster Energy (Fiducial Region)", 300, 0, 1.5, 220, 0, 1.1);
+ private IHistogram2D t2EnergySum2DAll = aida.histogram2D("Tier 2/Top Cluster Energy vs. Bottom Cluster Energy", 300, 0, 1.5, 300, 0, 1.5);
+ private IHistogram2D t2EnergySum2DFiducial = aida.histogram2D("Tier 2/Top Cluster Energy vs. Bottom Cluster Energy (Fiducial Region)", 300, 0, 1.5, 300, 0, 1.5);
private IHistogram2D t2SumCoplanarityAll = aida.histogram2D("Tier 2/Hardware Coplanarity vs. Energy Sum", 300, 0, 1.5, 115, 0, 230);
private IHistogram2D t2SumCoplanarityFiducial = aida.histogram2D("Tier 2/Hardware Coplanarity vs. Energy Sum (Fiducial Region)", 300, 0, 1.5, 115, 0, 230);
private IHistogram2D t2SumCoplanarityCalcAll = aida.histogram2D("Tier 2/Calculated Coplanarity vs. Energy Sum", 300, 0, 1.5, 115, 130, 230);
@@ -109,7 +109,7 @@
// Perform tier 1 analysis. This requires that there be at
// least one top/bottom cluster pair with a time difference
// of less then 4 ns.
- double t1TimeThreshold = 2.5;
+ double t1TimeThreshold = 1.5;
// Get a list of cluster pairs.
List<Cluster[]> pairList = getClusterPairs(clusterList);
@@ -214,6 +214,11 @@
}
for(Cluster[] pair : pairList) {
+ // Only include clusters that pass the time coincidence.
+ if(TriggerModule.getValueTimeCoincidence(pair) > t1TimeThreshold) {
+ continue;
+ }
+
// Fill the all pairs plots.
double pairEnergy = pair[0].getEnergy() + pair[1].getEnergy();
t1EnergySumAll.fill(pairEnergy);
@@ -266,6 +271,11 @@
}
for(Cluster[] pair : pairList) {
+ // Only include clusters that pass the time coincidence.
+ if(TriggerModule.getValueTimeCoincidence(pair) > t1TimeThreshold) {
+ continue;
+ }
+
// Fill the all pairs plots.
double pairEnergy = pair[0].getEnergy() + pair[1].getEnergy();
t2EnergySumAll.fill(pairEnergy);
@@ -312,8 +322,8 @@
energy[1] = Math.sqrt(pair[1].getMomentum().magnitudeSquared() + electronMassSquared);
// Calculate the invariant mass.
- return Math.sqrt(Math.pow(energy[0] + energy[1], 2) - Math.pow(pair[0].getMomentum().x() - pair[1].getMomentum().x(), 2)
- + Math.pow(pair[0].getMomentum().y() - pair[1].getMomentum().y(), 2) + Math.pow(pair[0].getMomentum().z() - pair[1].getMomentum().z(), 2));
+ return Math.sqrt(Math.pow(energy[0] + energy[1], 2) - Math.pow(pair[0].getMomentum().x() + pair[1].getMomentum().x(), 2)
+ + Math.pow(pair[0].getMomentum().y() + pair[1].getMomentum().y(), 2) + Math.pow(pair[0].getMomentum().z() + pair[1].getMomentum().z(), 2));
}
public static final double getCalculatedCoplanarity(Cluster[] pair) {
Modified: java/trunk/users/src/main/java/org/hps/users/kmccarty/plots/formatter/TriggerPlotsFormat.java
=============================================================================
--- java/trunk/users/src/main/java/org/hps/users/kmccarty/plots/formatter/TriggerPlotsFormat.java (original)
+++ java/trunk/users/src/main/java/org/hps/users/kmccarty/plots/formatter/TriggerPlotsFormat.java Fri Oct 9 20:16:44 2015
@@ -57,23 +57,24 @@
*/
public static void main(String[] args) throws IOException {
// Define the root directory for the plots.
- String rootDir = "D:\\cygwin64\\home\\Kyle\\"; //plots\\no-cuts\\2-hit\\";
+ String rootDir = "D:\\cygwin64\\home\\Kyle\\aprime-plots\\";
// Define the new name of the file containing the trigger plots.
String[] plotFile = {
- rootDir + "5568-ana.aida"
//rootDir + "background-ana_triggerPlots.aida"
- //rootDir + "15MeV-ana_triggerPlots.aida",
- //rootDir + "30MeV-ana_triggerPlots.aida",
- //rootDir + "40MeV-ana_triggerPlots.aida",
- //rootDir + "50MeV-ana_triggerPlots.aida"
+ rootDir + "15-MeV\\compiled-plots.aida",
+ rootDir + "20-MeV\\compiled-plots.aida",
+ rootDir + "30-MeV\\compiled-plots.aida",
+ rootDir + "40-MeV\\compiled-plots.aida",
+ rootDir + "50-MeV\\compiled-plots.aida"
};
// Define the names of each plot. This will be used for the
// legend in the case of multiple plots.
String[] treeName = {
- "Background",
+ //"Background",
"15 MeV A'",
+ "20 MeV A'",
"30 MeV A'",
"40 MeV A'",
"50 MeV A'"
@@ -81,11 +82,14 @@
// Define the color style for the plots.
ColorStyle[] dataColorStyle = {
- ColorStyle.GREY,
+ //ColorStyle.GREY,
ColorStyle.MS_GREEN,
ColorStyle.MS_BLUE,
ColorStyle.MS_ORANGE,
- ColorStyle.MS_RED
+ ColorStyle.MS_RED,
+ ColorStyle.CRIMSON,
+ ColorStyle.TEAL,
+ ColorStyle.FOREST
};
// Get the plots file and open it.
@@ -99,7 +103,7 @@
// Get a list of all the histograms in the file.
List<List<String>> treeHistograms = new ArrayList<List<String>>(plotFile.length);
for(int i = 0; i < plotFile.length; i++) {
- treeHistograms.add(getHistograms(tree[i]));//, "/PassedAll/"));
+ treeHistograms.add(getHistograms(tree[i], "/NoCuts/"));//, "/PassedAll/"));
}
// Create a plotter factory.
@@ -170,10 +174,10 @@
// Show the plotter.
plotter.region(0).setTitle(plotTitle);
- //plotter.setParameter("plotterWidth", "1600");
- //plotter.setParameter("plotterHeight", "1550");
- plotter.setParameter("plotterWidth", "2000");
- plotter.setParameter("plotterHeight", "1200");
+ plotter.setParameter("plotterWidth", "750");
+ plotter.setParameter("plotterHeight", "600");
+ //plotter.setParameter("plotterWidth", "2000");
+ //plotter.setParameter("plotterHeight", "1200");
plotter.show();
}
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