CSCCondSegFit.cc

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// CSCCondSegFit.cc
// Last mod: 23.01.2015
 
#include "RecoLocalMuon/CSCSegment/src/CSCCondSegFit.h"
 
#include "DataFormats/GeometryVector/interface/GlobalPoint.h"
#include "Geometry/CSCGeometry/interface/CSCLayer.h"
#include "FWCore/MessageLogger/interface/MessageLogger.h"
 
#include <algorithm>
 
void CSCCondSegFit::fit(bool condpass1, bool condpass2) {
  // See base class CSCSegFit::fit for detailed explanation of algorithm.
  // This is exactly the same, except it adds two conditioning passes
  // which can improve the robustness of the calculations.
 
  lex_.clear();  // Vector of the error matrix (only xx)
 
  if (condpass1 && !condpass2) {
    correctTheCovX();
    if (lex_.size() != hits_.size()) {
      LogTrace("CSCSegment|CSC") << "[CSCSegFit::fit] lex_.size()!=hits_.size() ALARM! Please inform CSC DPG "
                                 << std::endl;
    }
  }
 
  SMatrix4 M;  // 4x4, init to 0
  SVector4 B;  // 4x1, init to 0;
 
  CSCSetOfHits::const_iterator ih = hits_.begin();
 
  for (ih = hits_.begin(); ih != hits_.end(); ++ih) {
    const CSCRecHit2D& hit = (**ih);
    const CSCLayer* layer = chamber()->layer(hit.cscDetId().layer());
    GlobalPoint gp = layer->toGlobal(hit.localPosition());
    LocalPoint lp = chamber()->toLocal(gp);
 
    // Local position of hit w.r.t. chamber
    double u = lp.x();
    double v = lp.y();
    double z = lp.z();
 
    // Covariance matrix of local errors
    SMatrixSym2 IC;  // 2x2, init to 0
 
    // Adjust covariance matrix elements to improve numerical stability?
    if (condpass1 && !condpass2) {
      IC(0, 0) = lex_.at(ih - hits_.begin());
    } else {
      IC(0, 0) = hit.localPositionError().xx();
    }
    IC(1, 1) = hit.localPositionError().yy();
    //@@ NOT SURE WHICH OFF-DIAGONAL ELEMENT MUST BE DEFINED BUT (1,0) WORKS
    //@@ (and SMatrix enforces symmetry)
    IC(1, 0) = hit.localPositionError().xy();
    // IC(0,1) = IC(1,0);
 
    // Correct the covariance matrix to improve numerical stability?
    if (condpass2) {
      correctTheCovMatrix(IC);
    }
 
    // Invert covariance matrix (and trap if it fails!)
    bool ok = IC.Invert();
    if (!ok) {
      LogTrace("CSCSegment|CSC") << "[CSCSegFit::fit] Failed to invert covariance matrix: \n" << IC;
      //      return ok;  //@@ SHOULD PASS THIS BACK TO CALLER?
    }
 
    M(0, 0) += IC(0, 0);
    M(0, 1) += IC(0, 1);
    M(0, 2) += IC(0, 0) * z;
    M(0, 3) += IC(0, 1) * z;
    B(0) += u * IC(0, 0) + v * IC(0, 1);
 
    M(1, 0) += IC(1, 0);
    M(1, 1) += IC(1, 1);
    M(1, 2) += IC(1, 0) * z;
    M(1, 3) += IC(1, 1) * z;
    B(1) += u * IC(1, 0) + v * IC(1, 1);
 
    M(2, 0) += IC(0, 0) * z;
    M(2, 1) += IC(0, 1) * z;
    M(2, 2) += IC(0, 0) * z * z;
    M(2, 3) += IC(0, 1) * z * z;
    B(2) += (u * IC(0, 0) + v * IC(0, 1)) * z;
 
    M(3, 0) += IC(1, 0) * z;
    M(3, 1) += IC(1, 1) * z;
    M(3, 2) += IC(1, 0) * z * z;
    M(3, 3) += IC(1, 1) * z * z;
    B(3) += (u * IC(1, 0) + v * IC(1, 1)) * z;
  }
 
  SVector4 p;
  bool ok = M.Invert();
  if (!ok) {
    LogTrace("CSCSegment|CSC") << "[CSCSegFit::fit] Failed to invert matrix: \n" << M;
    //    return ok; //@@ SHOULD PASS THIS BACK TO CALLER?
  } else {
    p = M * B;
  }
 
  //  LogTrace("CSCSegFit") << "[CSCSegFit::fit] p = "
  //        << p(0) << ", " << p(1) << ", " << p(2) << ", " << p(3);
 
  // fill member variables  (note origin has local z = 0)
  intercept_ = LocalPoint(p(0), p(1), 0.);
 
  // localdir_
  uslope_ = p(2);
  vslope_ = p(3);
  setOutFromIP();
 
  // calculate chi2 of fit
  setChi2(condpass1, condpass2);
}
 
void CSCCondSegFit::setChi2(bool condpass1, bool condpass2) {
  double chsq = 0.;
 
  CSCSetOfHits::const_iterator ih;
  for (ih = hits_.begin(); ih != hits_.end(); ++ih) {
    const CSCRecHit2D& hit = (**ih);
    const CSCLayer* layer = chamber()->layer(hit.cscDetId().layer());
    GlobalPoint gp = layer->toGlobal(hit.localPosition());
    LocalPoint lp = chamber()->toLocal(gp);
 
    double u = lp.x();
    double v = lp.y();
    double z = lp.z();
 
    double du = intercept_.x() + uslope_ * z - u;
    double dv = intercept_.y() + vslope_ * z - v;
 
    //    LogTrace("CSCSegFit") << "[CSCSegFit::setChi2] u, v, z = " << u << ", " << v << ", " << z;
 
    SMatrixSym2 IC;  // 2x2, init to 0
 
    if (condpass1 && !condpass2) {
      IC(0, 0) = lex_.at(ih - hits_.begin());
    } else {
      IC(0, 0) = hit.localPositionError().xx();
    }
    //    IC(0,1) = hit.localPositionError().xy();
    IC(1, 0) = hit.localPositionError().xy();
    IC(1, 1) = hit.localPositionError().yy();
    //    IC(1,0) = IC(0,1);
 
    //    LogTrace("CSCSegFit") << "[CSCSegFit::setChi2] IC before = \n" << IC;
 
    if (condpass2) {
      correctTheCovMatrix(IC);
    }
 
    // Invert covariance matrix
    bool ok = IC.Invert();
    if (!ok) {
      LogTrace("CSCSegment|CSC") << "[CSCSegFit::setChi2] Failed to invert covariance matrix: \n" << IC;
      //      return ok;
    }
    //    LogTrace("CSCSegFit") << "[CSCSegFit::setChi2] IC after = \n" << IC;
    chsq += du * du * IC(0, 0) + 2. * du * dv * IC(0, 1) + dv * dv * IC(1, 1);
  }
 
  // fill member variables
  chi2_ = chsq;
  ndof_ = 2. * hits_.size() - 4;
 
  //  LogTrace("CSCSegFit") << "[CSCSegFit::setChi2] chi2 = " << chi2_ << "/" << ndof_ << " dof";
}
 
void CSCCondSegFit::correctTheCovX(void) {
  std::vector<double> uu, vv, zz;  // Vectors of coordinates
 
  lex_.clear();  // x component of local error for each hit
 
  double sum_U_err = 0.0;
  double sum_Z_U_err = 0.0;
  double sum_Z2_U_err = 0.0;
  double sum_U_U_err = 0.0;
  double sum_UZ_U_err = 0.0;
  std::vector<double> chiUZind;
  std::vector<double>::iterator chiContribution;
  double chiUZ = 0.0;
  CSCSetOfHits::const_iterator ih = hits_.begin();
  for (ih = hits_.begin(); ih != hits_.end(); ++ih) {
    const CSCRecHit2D& hit = (**ih);
    lex_.push_back(hit.localPositionError().xx());
 
    const CSCLayer* layer = chamber()->layer(hit.cscDetId().layer());
    GlobalPoint gp = layer->toGlobal(hit.localPosition());
    LocalPoint lp = chamber()->toLocal(gp);
    // Local position of hit w.r.t. chamber
    double u = lp.x();
    double v = lp.y();
    double z = lp.z();
    uu.push_back(u);
    vv.push_back(v);
    zz.push_back(z);
    // Prepare the sums for the standard linear fit
    sum_U_err += 1. / lex_.back();
    sum_Z_U_err += z / lex_.back();
    sum_Z2_U_err += (z * z) / lex_.back();
    sum_U_U_err += u / lex_.back();
    sum_UZ_U_err += (u * z) / lex_.back();
  }
 
 
  double denom = sum_U_err * sum_Z2_U_err - pow(sum_Z_U_err, 2);
  double U0 = (sum_Z2_U_err * sum_U_U_err - sum_Z_U_err * sum_UZ_U_err) / denom;
  double UZ = (sum_U_err * sum_UZ_U_err - sum_Z_U_err * sum_U_U_err) / denom;
 
 
  for (unsigned i = 0; i < uu.size(); ++i) {
    double uMean = U0 + UZ * zz[i];
    chiUZind.push_back((pow((uMean - uu[i]), 2)) / lex_[i]);
    chiUZ += (pow((uMean - uu[i]), 2)) / lex_[i];
  }
  chiUZ = chiUZ / (uu.size() - 2);
 
  if (chiUZ >= chi2Norm_) {
    double chi2uCorrection = chiUZ / chi2Norm_;
    for (unsigned i = 0; i < uu.size(); ++i)
      lex_[i] = lex_[i] * chi2uCorrection;
    setScaleXError(chi2uCorrection);
  }
 
  // Find most deviant hit
  chiContribution = max_element(chiUZind.begin(), chiUZind.end());
  worstHit_ = chiContribution - chiUZind.begin();
}
 
void CSCCondSegFit::correctTheCovMatrix(SMatrixSym2& IC) {
  //double condNumberCorr1=0.0;
  double condNumberCorr2 = 0.0;
  double detCov = 0.0;
  double diag1 = 0.0;
  double diag2 = 0.0;
  double IC_01_corr = 0.0;
  double IC_00_corr = 0.0;
  if (!covToAnyNumberAll_) {
    //condNumberCorr1=condSeed1_*IC(1,1);
    condNumberCorr2 = condSeed2_ * IC(1, 1);
    diag1 = IC(0, 0) * IC(1, 1);
    diag2 = IC(0, 1) * IC(0, 1);
    detCov = fabs(diag1 - diag2);
    if ((diag1 < condNumberCorr2) && (diag2 < condNumberCorr2)) {
      if (covToAnyNumber_)
        IC(0, 1) = covAnyNumber_;
      else {
        IC_00_corr = condSeed1_ + fabs(IC(0, 1)) / IC(1, 1);
        IC(0, 0) = IC_00_corr;
      }
    }
 
    if (((detCov < condNumberCorr2) && (diag1 > condNumberCorr2)) ||
        ((diag2 > condNumberCorr2) && (detCov < condNumberCorr2))) {
      if (covToAnyNumber_)
        IC(0, 1) = covAnyNumber_;
      else {
        IC_01_corr = sqrt(fabs(diag1 - condNumberCorr2));
        if (IC(0, 1) < 0)
          IC(0, 1) = (-1) * IC_01_corr;
        else
          IC(0, 1) = IC_01_corr;
      }
    }
  } else {
    IC(0, 1) = covAnyNumber_;
  }
  // With SMatrix formulation. the following might be unnecessary since it might
  // enforce the symmetry. But can't hurt to leave it (it WAS a real bug fix for
  // the original CLHEP formulation.)
  IC(1, 0) = IC(0, 1);  //@@ ADDED TO MAINTAIN SYMMETRY OF IC
}