/data/refman/pasoursint/CMSSW_5_3_10_patch1/src/SimTracker/TrackerMaterialAnalysis/plugins/XHistogram.cc

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#include <algorithm>
#include <cmath>
#include <vector>

#include "XHistogram.h"

std::vector<XHistogram::position> XHistogram::splitSegment( Range rangeX, Range rangeY ) const
{
  double deltaX = rangeX.second - rangeX.first;
  double deltaY = rangeY.second - rangeY.first;
  double length = hypot(deltaX, deltaY);
  double stepX = (m_xRange.second - m_xRange.first) / m_xBins;
  double stepY = (m_yRange.second - m_yRange.first) / m_yBins;

  int min_i, max_i, min_j, max_j;
  if (rangeX.first < rangeX.second) {
    min_i = (int) ceil(rangeX.first / stepX);            // included
    max_i = (int) floor(rangeX.second / stepX) + 1;      // excluded
  } else {
    min_i = (int) ceil(rangeX.second / stepX);
    max_i = (int) floor(rangeX.first / stepX) + 1;
  }
  if (rangeY.first < rangeY.second) {
    min_j = (int) ceil(rangeY.first / stepY);
    max_j = (int) floor(rangeY.second / stepY) + 1;
  } else {
    min_j = (int) ceil(rangeY.second / stepY);
    max_j = (int) floor(rangeY.first / stepY) + 1;
  }

  int steps = max_i-min_i + max_j-min_j + 2;
  std::vector<position> v;
  v.clear();
  v.reserve(steps);

  v.push_back( position(0., rangeX.first, rangeY.first) );
  double x, y, f;
  for (int i = min_i; i < max_i; ++i) {
    x = i * stepX;
    y = rangeY.first + (x - rangeX.first) * deltaY / deltaX;
    f = std::fabs( (x - rangeX.first) / deltaX );
    v.push_back( position(f, x, y) );
  }
  for (int i = min_j; i < max_j; ++i) {
    y = i * stepY;
    x = rangeX.first + (y - rangeY.first) * deltaX / deltaY;
    f = std::fabs( (y - rangeY.first) / deltaY );
    v.push_back( position(f, x, y) );
  }
  v.push_back( position(1., rangeX.second, rangeY.second) );

  // sort by distance from the start of the segment
  std::sort(v.begin(), v.end());

  // filter away the fragments shorter than m_minDl, and save the center of each fragment along with its fractionary length
  std::vector<position> result;
  result.push_back( v.front() );
  for (int i = 1, s = v.size(); i < s; ++i) {
    double mx = (v[i].x + v[i-1].x) / 2.;
    double my = (v[i].y + v[i-1].y) / 2.;
    double df = (v[i].f - v[i-1].f);
    if (df * length < m_minDl)
      continue;
    result.push_back( position( df, mx, my ) );
  }

  return result;
}

void XHistogram::fill( double x, double y, const std::vector<double> & weight, double norm )
{
  check_weight( weight );

  for (size_t h = 0; h < m_size; ++h)
    m_histograms[h]->Fill( x, y, weight[h] );
  m_normalization->Fill( x, y, norm );
}

void XHistogram::fill( double x, double y, const std::vector<double> & weight, double norm, unsigned int colour )
{
  check_weight( weight );

  for (size_t h = 0; h < m_size; ++h)
    m_histograms[h]->Fill( x, y, weight[h] );
  m_normalization->Fill( x, y, norm );
  m_colormap->SetBinContent( m_colormap->FindBin(x, y), (float) colour );
}
  
void XHistogram::fill( const Range& x, const Range& y, const std::vector<double> & weight, double norm )
{
  check_weight( weight );

  std::vector<position> v = splitSegment( x, y );
  for (size_t i = 0, s = v.size(); i < s; ++i) {
    for (size_t h = 0; h < m_size; ++h)
      m_histograms[h]->Fill( v[i].x, v[i].y, v[i].f * weight[h] );
    m_normalization->Fill( v[i].x, v[i].y, v[i].f * norm );
  }
}
  
void XHistogram::fill( const Range& x, const Range& y, const std::vector<double> & weight, double norm, unsigned int colour )
{
  check_weight( weight );

  std::vector<position> v = splitSegment( x, y );
  for (size_t i = 0, s = v.size(); i < s; ++i) {
    for (size_t h = 0; h < m_size; ++h)
      m_histograms[h]->Fill( v[i].x, v[i].y, v[i].f * weight[h] );
    m_normalization->Fill( v[i].x, v[i].y, v[i].f * norm );
    m_colormap->SetBinContent( m_colormap->FindBin(v[i].x, v[i].y), (float) colour );
  }
}

void XHistogram::normalize(void)
{
  for (int i = 0; i < m_normalization->GetSize(); ++i) {
    if ((*m_normalization)[i] > 0.) {
      for (size_t h = 0; h < m_size; ++h)
        (*m_histograms[h])[i] /= (*m_normalization)[i];
      (*m_normalization)[i] = 1.;
    } 
  }
}