/afs/cern.ch/work/a/aaltunda/public/www/CMSSW_5_3_14/src/RecoTBCalo/EcalTBHodoscopeReconstructor/src/EcalTBHodoscopeRecInfoAlgo.cc

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#include "RecoTBCalo/EcalTBHodoscopeReconstructor/interface/EcalTBHodoscopeRecInfoAlgo.h"
#include "FWCore/MessageLogger/interface/MessageLogger.h"

#include <list>

EcalTBHodoscopeRecInfoAlgo::EcalTBHodoscopeRecInfoAlgo(int fitMethod, const std::vector<double>& planeShift, const std::vector<double>& zPosition) : fitMethod_(fitMethod), planeShift_(planeShift), zPosition_(zPosition)
{
  myGeometry_=new EcalTBHodoscopeGeometry();
}

void EcalTBHodoscopeRecInfoAlgo::clusterPos(float &x, float &xQuality,const int& ipl, const int& xclus, const int& width) const 
{
  if ( width == 1 ) {
    // Single fiber
    x = (myGeometry_->getFibreLp(ipl,xclus) + myGeometry_->getFibreRp(ipl,xclus))/2.0 - 
      planeShift_[ipl];
    xQuality = (myGeometry_->getFibreRp(ipl,xclus) - myGeometry_->getFibreLp(ipl,xclus));
  } else if  ( width == 2 ) {
    // Two half overlapped fibers
    x = (myGeometry_->getFibreLp(ipl,xclus+1) + myGeometry_->getFibreRp(ipl,xclus))/2.0 -
      planeShift_[ipl];
    xQuality =(myGeometry_->getFibreRp(ipl,xclus)-myGeometry_->getFibreLp(ipl,xclus+1));
  } else {
    // More then two fibers case
    x = (myGeometry_->getFibreLp(ipl,xclus) +myGeometry_->getFibreRp(ipl,xclus+width-1))/2.0 -
      planeShift_[ipl];
    xQuality =(myGeometry_->getFibreRp(ipl,xclus+width-1) - myGeometry_->getFibreLp(ipl,xclus));
  }
}

void EcalTBHodoscopeRecInfoAlgo::fitHodo(float &x, float &xQuality,
             const int& ipl, const int& nclus, const std::vector<int>& xclus, const std::vector<int>& wclus) const 
{
  if ( nclus == 1 ) { 
    // Fill real x as mean position inside the cluster
    // Quality - width of cluster
    // To calculate sigma one can do sigma=sqrt(Quality**2/12.0)
    clusterPos(x, xQuality, ipl, xclus[0], wclus[0]);
  } else {
    xQuality = -10 - nclus;
  }
}

void EcalTBHodoscopeRecInfoAlgo::fitLine(float &x, float &xSlope, float &xQuality,
               const int& ipl1, const int& nclus1, const std::vector<int>& xclus1, const std::vector<int>& wclus1,
               const int& ipl2, const int& nclus2, const std::vector<int>& xclus2, const std::vector<int>& wclus2) const 
{
  if ( nclus1 == 0 ) {  // Fit with one plane 
    fitHodo(x, xQuality, ipl2,nclus2,xclus2,wclus2);
    xSlope = 0.0; //?? Should we put another number indicating that is not fitted
    return;
  }
  if ( nclus2 == 0 ) {  // Fit with one plane 
    fitHodo(x, xQuality, ipl1,nclus1,xclus1,wclus1);
    xSlope = 0.0; //?? Should we put another number indicating that is not fitted
    return;
  }

  // We have clusters in both planes

  float x1,x2,xQ1,xQ2;
  float xs,x0,xq;

  std::list<BeamTrack> tracks;

  for(int i1=0;i1<nclus1;i1++) {
    for(int i2=0;i2<nclus2;i2++) {
      clusterPos(x1, xQ1, ipl1, xclus1[i1], wclus1[i1]);
      clusterPos(x2, xQ2, ipl2, xclus2[i2], wclus2[i2]);
      
      xs = ( x2 - x1 ) /
        ( zPosition_[ipl2] - zPosition_[ipl1] ); // slope
      x0 = (( x2 + x1 ) - xs *
            ( zPosition_[ipl2] + zPosition_[ipl1] ))/2.0;  // x0
      xq = (xQ1 + xQ2)/2.0; // Quality, how i can do better ?
      tracks.push_back(BeamTrack(x0,xs,xq));
    }
  }

  // find track with minimal slope
  tracks.sort();

  // Return results
  x = tracks.begin()->x;
  xSlope = tracks.begin()->xS;
  xQuality = tracks.begin()->xQ;
}



EcalTBHodoscopeRecInfo EcalTBHodoscopeRecInfoAlgo::reconstruct(const EcalTBHodoscopeRawInfo& hodoscopeRawInfo) const {
  // Reset Hodo data
  float x,y= -100.0;
  float xSlope,ySlope = 0.0;
  float xQuality, yQuality = -100.0;

  int nclus[4];
  std::vector<int> xclus[4];
  std::vector<int> wclus[4];

  for(int ipl=0; ipl<myGeometry_->getNPlanes(); ipl++) {

    int nhits = hodoscopeRawInfo[ipl].numberOfFiredHits();
    // Finding clusters
    nclus[ipl] = 0;
    if ( nhits > 0 ) 
      {
        int nh = nhits;
        int first = 0;
        int last = 0;
        while ( nh > 0 ) 
          {
            while ( hodoscopeRawInfo[ipl][first] == 0 ) first++; // start
            last = first+1; nh--;
            do 
              {
                while ( last < myGeometry_->getNFibres() && hodoscopeRawInfo[ipl][last] ) { last++;nh--;} //end
                if ( last+1 < myGeometry_->getNFibres() && hodoscopeRawInfo[ipl][last+1] ) 
                  { //Skip 1 fibre hole
                    last+=2; nh--;
                    //std::cout << "Skip fibre " << ipl << " " << first << " "<< last << std::endl;
                  } 
                else 
                  {
                    break;
                  }
              } 
            while( nh>0 && last<myGeometry_->getNFibres() );
            wclus[ipl].push_back(last - first);
            xclus[ipl].push_back(first); // Left edge !!!
            nclus[ipl]++;
            
            first = last + 1;
          }
      } 
    //    printClusters(ipl);
  }

  // Straight line fit for one axis
  if ( fitMethod_ == 0 )
    {
      fitLine(x, xSlope, xQuality,
              0,nclus[0],xclus[0],wclus[0],   // X1
              2,nclus[2],xclus[2],wclus[2]);  // X2
      fitLine(y, ySlope, yQuality,
              1,nclus[1],xclus[1],wclus[1],  // Y1
              3,nclus[3],xclus[3],wclus[3]); // Y2
    }
  else if ( fitMethod_ == 1 )
    {
      // x1 and y2 hodoscope
      fitHodo(x, xQuality, 0,nclus[0],xclus[0],wclus[0]); // X1
      //   if ( xQuality[1] < 0.0 ) {
      //     printFibres(0);
      //     printClusters(0);
      //   }
      fitHodo(y, yQuality, 1,nclus[1],xclus[1],wclus[1]); // Y1
      //   if ( yQuality[1] < 0.0 ) {
      //     printFibres(1);
      //     printClusters(1);
      //   }
    }
  else if ( fitMethod_ == 2 )
    {
      //x2 and y2 hodoscope
      fitHodo(x, xQuality, 2,nclus[2],xclus[2],wclus[2]); // X2
      //   if ( xQuality[2] < 0.0 ) {
      //     printFibres(2);
      //     printClusters(2);
      //   }
      fitHodo(y, yQuality, 3,nclus[3],xclus[3],wclus[3]); // Y2
      //   if ( yQuality[2] < 0.0 ) {
      //     printFibres(3);
      //     printClusters(3);
      //   }
    }

  return EcalTBHodoscopeRecInfo(x,y,xSlope,ySlope,xQuality,yQuality); 
}