Add programs to use doca in helixfitting.

etc/bankdefs/hipo4/alert.json

@@ -200,7 +200,7 @@
         "name": "time",
         "type": "D",
         "info": "calibrated time (ns)"
-      }, {
+        }, {
         "name": "adc",
         "type": "I",
         "info": "calibrated ADC"
@@ -440,5 +440,19 @@
       {"name": "x", "type": "F", "info": "x info (mm)"},
       {"name": "y", "type": "F", "info": "y info (mm)"}
     ]
+  },
+  {
+    "name": "AHDC::docaclusters",
+    "group": 23000,
+    "item": 126,
+    "info": "Doca-refined cluster space points",
+    "entries": [
+      {"name": "x",             "type": "F", "info": "refined x (mm)"},
+      {"name": "y",             "type": "F", "info": "refined y (mm)"},
+      {"name": "z",             "type": "F", "info": "refined z (mm)"},
+      {"name": "weight",        "type": "F", "info": "refined point weight"},
+      {"name": "pattern",       "type": "I", "info": "hit pattern: 11,12,21,22"},
+      {"name": "idx", "type": "I", "info": "index of original AHDC::clusters row"}
+    ]
   }
 ]

reconstruction/alert/src/main/java/org/jlab/rec/ahdc/Banks/RecoBankWriter.java

@@ -5,11 +5,13 @@
 import org.jlab.rec.ahdc.AI.InterCluster;
 import org.jlab.rec.ahdc.AI.TrackPrediction;
 import org.jlab.rec.ahdc.Cluster.Cluster;
+import org.jlab.rec.ahdc.Cluster.DocaCluster;
 import org.jlab.rec.ahdc.Hit.Hit;
 import org.jlab.rec.ahdc.PreCluster.PreCluster;
 import org.jlab.rec.ahdc.Track.Track;
 
 import java.util.ArrayList;
+import java.util.List;
 
 public class RecoBankWriter {
 
@@ -198,4 +200,22 @@ public DataBank fillInterClusterBank(DataEvent event, ArrayList<InterCluster> in
 
 		return bank;
 	}
+
+	public DataBank fillAHDCDocaClustersBank(DataEvent event, ArrayList<DocaCluster> docaclusters) {
+
+        if (docaclusters == null || docaclusters.size() == 0) return null;
+
+		DataBank bank = event.createBank("AHDC::docaclusters", docaclusters.size());
+
+		for (int i = 0; i < docaclusters.size(); i++) {
+			bank.setFloat("x", i, (float) docaclusters.get(i).get_X());
+			bank.setFloat("y", i, (float) docaclusters.get(i).get_Y());
+			bank.setFloat("z", i, (float) docaclusters.get(i).get_Z());
+			bank.setFloat("weight", i, (float) docaclusters.get(i).get_Weight());
+			bank.setInt("pattern", i, (int) docaclusters.get(i).get_Pattern());
+			bank.setInt("idx", i, (int) docaclusters.get(i).get_ClusterIndex());			
+		}
+
+        return bank;
+    }
 }

reconstruction/alert/src/main/java/org/jlab/rec/ahdc/DocaCluster/DocaCluster.java

@@ -0,0 +1,59 @@
+package org.jlab.rec.ahdc.Cluster;
+
+/**
+ * DocaCluster is a "refined" cluster space point built from
+ * the DOCA information of hits in the two PreClusters that
+ * compose a standard Cluster.
+ *
+ * One original Cluster can produce one or several DocaCluster
+ * objects, each with its own (x, y, z, weight).
+ */
+public class DocaCluster {
+
+    // Refined space point
+    private double _X;
+    private double _Y;
+    private double _Z;
+
+    // Weight for helix fit (relative weight of this point)
+    private double _Weight = 1.0;
+
+    // Pattern of hit multiplicity: 11, 12, 21, 22, or 0 for "others"
+    private int _Pattern = 0;
+
+    // Index of the original Cluster in the AHDC_Clusters list
+    private int _ClusterIndex = -1;
+
+    public DocaCluster(double x, double y, double z,
+                       double weight, int pattern, int clusterIndex) {
+        this._X = x;
+        this._Y = y;
+        this._Z = z;
+        this._Weight = weight;
+        this._Pattern = pattern;
+        this._ClusterIndex = clusterIndex;
+    }
+
+    public double get_X()      { return _X; }
+    public double get_Y()      { return _Y; }
+    public double get_Z()      { return _Z; }
+    public double get_Weight() { return _Weight; }
+
+    public int get_Pattern()       { return _Pattern; }
+    public int get_ClusterIndex()  { return _ClusterIndex; }
+
+    public void set_X(double x)           { this._X = x; }
+    public void set_Y(double y)           { this._Y = y; }
+    public void set_Z(double z)           { this._Z = z; }
+    public void set_Weight(double weight) { this._Weight = weight; }
+    public void set_Pattern(int pattern)  { this._Pattern = pattern; }
+    public void set_ClusterIndex(int idx) { this._ClusterIndex = idx; }
+
+    @Override
+    public String toString() {
+        return String.format(
+            "DocaCluster{X=%.3f, Y=%.3f, Z=%.3f, w=%.3f, pattern=%d, idx=%d}",
+            _X, _Y, _Z, _Weight, _Pattern, _ClusterIndex
+        );
+    }
+}