Merge branch 'analysisdut_correlations_before_after_cuts' into 'master'

AnalysisDUT: allow to choose correlations before or after applying cuts, added...

See merge request !430

src/modules/AnalysisDUT/AnalysisDUT.cpp

@@ -37,15 +37,43 @@ AnalysisDUT::AnalysisDUT(Configuration& config, std::shared_ptr<Detector> detect
 void AnalysisDUT::initialize() {
 
     if(correlations_) {
-        hTrackCorrelationX = new TH1F(
-            "hTrackCorrelationX", "Track residual X, all clusters;x_{track}-x_{hit} [#mum];# entries", 8000, -1000.5, 999.5);
-        hTrackCorrelationY = new TH1F(
-            "hTrackCorrelationY", "Track residual Y, all clusters;y_{track}-y_{hit} [#mum];# entries", 8000, -1000.5, 999.5);
-        hTrackCorrelationTime = new TH1F("hTrackCorrelationTime",
-                                         "Track time residual, all clusters;time_{track}-time_{hit} [ns];# entries",
-                                         n_timebins_,
-                                         -(n_timebins_ + 1) / 2. * time_binning_,
-                                         (n_timebins_ - 1) / 2. * time_binning_);
+        trackCorrelationX_beforeCuts =
+            new TH1F("trackCorrelationX_beforeCuts",
+                     "Track residual X (tracks before cuts), all clusters;x_{track}-x_{hit} [#mum];# entries",
+                     8000,
+                     -1000.5,
+                     999.5);
+        trackCorrelationY_beforeCuts =
+            new TH1F("trackCorrelationY_beforeCuts",
+                     "Track residual Y (tracks before cuts), all clusters;y_{track}-y_{hit} [#mum];# entries",
+                     8000,
+                     -1000.5,
+                     999.5);
+        trackCorrelationTime_beforeCuts =
+            new TH1F("trackCorrelationTime_beforeCuts",
+                     "Track time residual (tracks before cuts), all clusters;time_{track}-time_{hit} [ns];# entries",
+                     n_timebins_,
+                     -(n_timebins_ + 1) / 2. * time_binning_,
+                     (n_timebins_ - 1) / 2. * time_binning_);
+
+        trackCorrelationX_afterCuts =
+            new TH1F("trackCorrelationX_afterCuts",
+                     "Track residual X (tracks after cuts), all clusters;x_{track}-x_{hit} [#mum];# entries",
+                     8000,
+                     -1000.5,
+                     999.5);
+        trackCorrelationY_afterCuts =
+            new TH1F("trackCorrelationY_afterCuts",
+                     "Track residual Y (tracks after cuts), all clusters;y_{track}-y_{hit} [#mum];# entries",
+                     8000,
+                     -1000.5,
+                     999.5);
+        trackCorrelationTime_afterCuts =
+            new TH1F("trackCorrelationTime_afterCuts",
+                     "Track time residual (tracks after cuts), all clusters;time_{track}-time_{hit} [ns];# entries",
+                     n_timebins_,
+                     -(n_timebins_ + 1) / 2. * time_binning_,
+                     (n_timebins_ - 1) / 2. * time_binning_);
     }
 
     hClusterMapAssoc = new TH2F("clusterMapAssoc",
@@ -525,15 +553,15 @@ StatusCode AnalysisDUT::run(const std::shared_ptr<Clipboard>& clipboard) {
         auto globalIntercept = m_detector->getIntercept(track.get());
         auto localIntercept = m_detector->globalToLocal(globalIntercept);
 
-        // Fill correlation plots before applying any cuts:
+        // Fill correlation plots BEFORE applying any cuts:
         if(correlations_) {
             auto clusters = clipboard->getData<Cluster>(m_detector->getName());
             for(auto& cls : clusters) {
                 double xdistance_um = (globalIntercept.X() - cls->global().x()) * 1000.;
                 double ydistance_um = (globalIntercept.Y() - cls->global().y()) * 1000.;
-                hTrackCorrelationX->Fill(xdistance_um);
-                hTrackCorrelationY->Fill(ydistance_um);
-                hTrackCorrelationTime->Fill(track->timestamp() - cls->timestamp());
+                trackCorrelationX_beforeCuts->Fill(xdistance_um);
+                trackCorrelationY_beforeCuts->Fill(ydistance_um);
+                trackCorrelationTime_beforeCuts->Fill(track->timestamp() - cls->timestamp());
             }
         }
 
@@ -550,7 +578,6 @@ StatusCode AnalysisDUT::run(const std::shared_ptr<Clipboard>& clipboard) {
         }
 
         // Check if it intercepts the DUT
-
         if(!m_detector->hasIntercept(track.get(), 0.5)) {
             LOG(DEBUG) << " - track outside DUT area";
             hCutHisto->Fill(2);
@@ -571,6 +598,18 @@ StatusCode AnalysisDUT::run(const std::shared_ptr<Clipboard>& clipboard) {
             continue;
         }
 
+        // Fill correlation plots after applying cuts:
+        if(correlations_) {
+            auto clusters = clipboard->getData<Cluster>(m_detector->getName());
+            for(auto& cls : clusters) {
+                double xdistance_um = (globalIntercept.X() - cls->global().x()) * 1000.;
+                double ydistance_um = (globalIntercept.Y() - cls->global().y()) * 1000.;
+                trackCorrelationX_afterCuts->Fill(xdistance_um);
+                trackCorrelationY_afterCuts->Fill(ydistance_um);
+                trackCorrelationTime_afterCuts->Fill(track->timestamp() - cls->timestamp());
+            }
+        }
+
         // Get the event:
         auto event = clipboard->getEvent();
 

src/modules/AnalysisDUT/AnalysisDUT.h

@@ -38,9 +38,8 @@ namespace corryvreckan {
         std::shared_ptr<Detector> m_detector;
 
         // Histograms
-        TH1F* hTrackCorrelationX;
-        TH1F* hTrackCorrelationY;
-        TH1F* hTrackCorrelationTime;
+        TH1F *trackCorrelationX_beforeCuts, *trackCorrelationY_beforeCuts, *trackCorrelationTime_beforeCuts;
+        TH1F *trackCorrelationX_afterCuts, *trackCorrelationY_afterCuts, *trackCorrelationTime_afterCuts;
 
         TH2F *hClusterMapAssoc, *hHitMapAssoc;
         TProfile2D *hClusterSizeMapAssoc, *hClusterChargeMapAssoc;

src/modules/AnalysisDUT/README.md

@@ -14,7 +14,7 @@ If a region of interest (ROI) is defined for the detector under investigation, o
 * `use_closest_cluster`: If `true` the cluster with the smallest distance to the track is used if a track has more than one associated cluster. If `false`, loop over all associated clusters. Defaults to `true`.
 * `n_time_bins`: Number of bins in the time residual and correlation histograms. Defaults to `20000`.
 * `time_binning`: Bin width in the time residual and correlation histograms. Defaults to `0.1ns`.
-* `correlations`: If `true`, correlation plots between all tracks and all clusters on the DUT (i.e. associated + non-associated) are created. Defaults to `false`.
+* `correlations`: If `true`, correlation plots between all (before and after applying cuts) tracks and all clusters on the DUT (i.e. associated + non-associated) are created. Defaults to `false`.
 
 ### Plots produced