ProtonReconstructionAlgorithm.cc

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/****************************************************************************
 * Authors:
 *   Jan Kašpar
 *   Laurent Forthomme
 ****************************************************************************/
 
#include "RecoPPS/ProtonReconstruction/interface/ProtonReconstructionAlgorithm.h"
 
#include "FWCore/MessageLogger/interface/MessageLogger.h"
 
#include "DataFormats/CTPPSDetId/interface/CTPPSDetId.h"
#include "DataFormats/CTPPSReco/interface/CTPPSLocalTrackLite.h"
#include "DataFormats/ProtonReco/interface/ForwardProton.h"
 
#include "TMinuitMinimizer.h"
 
using namespace std;
using namespace edm;
 
//----------------------------------------------------------------------------------------------------
 
ProtonReconstructionAlgorithm::ProtonReconstructionAlgorithm(bool fit_vtx_y,
                                                             bool improved_estimate,
                                                             const std::string &multiRPAlgorithm,
                                                             unsigned int verbosity)
    : verbosity_(verbosity),
      fitVtxY_(fit_vtx_y),
      useImprovedInitialEstimate_(improved_estimate),
      multi_rp_algorithm_(mrpaUndefined),
      initialized_(false),
      fitter_(new ROOT::Fit::Fitter),
      chiSquareCalculator_(new ChiSquareCalculator) {
  // needed for thread safety
  TMinuitMinimizer::UseStaticMinuit(false);
 
  // check and set multi-RP algorithm
  if (multiRPAlgorithm == "chi2")
    multi_rp_algorithm_ = mrpaChi2;
  else if (multiRPAlgorithm == "newton")
    multi_rp_algorithm_ = mrpaNewton;
  else if (multiRPAlgorithm == "anal-iter")
    multi_rp_algorithm_ = mrpaAnalIter;
 
  if (multi_rp_algorithm_ == mrpaUndefined)
    throw cms::Exception("ProtonReconstructionAlgorithm") << "Algorithm '" << multiRPAlgorithm << "' not understood.";
 
  // initialise fitter
  double pStart[] = {0, 0, 0, 0};
  fitter_->SetFCN(4, *chiSquareCalculator_, pStart, 0, true);
}
 
//----------------------------------------------------------------------------------------------------
 
void ProtonReconstructionAlgorithm::init(const LHCInterpolatedOpticalFunctionsSetCollection &opticalFunctions) {
  // reset cache
  release();
 
  // build optics data for each object
  for (const auto &p : opticalFunctions) {
    const LHCInterpolatedOpticalFunctionsSet &ofs = p.second;
 
    // make record
    RPOpticsData rpod;
    rpod.optics = &p.second;
    rpod.s_x_d_vs_xi = ofs.splines()[LHCOpticalFunctionsSet::exd];
    rpod.s_L_x_vs_xi = ofs.splines()[LHCOpticalFunctionsSet::eLx];
    rpod.s_y_d_vs_xi = ofs.splines()[LHCOpticalFunctionsSet::eyd];
    rpod.s_v_y_vs_xi = ofs.splines()[LHCOpticalFunctionsSet::evy];
    rpod.s_L_y_vs_xi = ofs.splines()[LHCOpticalFunctionsSet::eLy];
 
    vector<double> xiValues =
        ofs.getXiValues();  // local copy made since the TSpline constructor needs non-const parameters
    vector<double> xDValues = ofs.getFcnValues()[LHCOpticalFunctionsSet::exd];
    rpod.s_xi_vs_x_d = make_shared<TSpline3>("", xDValues.data(), xiValues.data(), xiValues.size());
 
    // calculate auxiliary data
    LHCInterpolatedOpticalFunctionsSet::Kinematics k_in = {0., 0., 0., 0., 0.};
    LHCInterpolatedOpticalFunctionsSet::Kinematics k_out;
    rpod.optics->transport(k_in, k_out);
    rpod.x0 = k_out.x;
    rpod.y0 = k_out.y;
 
    doLinearFit(ofs.getXiValues(), ofs.getFcnValues()[LHCOpticalFunctionsSet::exd], rpod.ch0, rpod.ch1);
    rpod.ch0 -= rpod.x0;
 
    doLinearFit(ofs.getXiValues(), ofs.getFcnValues()[LHCOpticalFunctionsSet::eLx], rpod.la0, rpod.la1);
 
    // insert record
    const CTPPSDetId rpId(p.first);
    m_rp_optics_.emplace(rpId, std::move(rpod));
  }
 
  // update settings
  initialized_ = true;
}
 
//----------------------------------------------------------------------------------------------------
 
void ProtonReconstructionAlgorithm::doLinearFit(const std::vector<double> &vx,
                                                const std::vector<double> &vy,
                                                double &b,
                                                double &a) {
  double s_1 = 0., s_x = 0., s_xx = 0., s_y = 0., s_xy = 0.;
  for (unsigned int i = 0; i < vx.size(); ++i) {
    s_1 += 1.;
    s_x += vx[i];
    s_xx += vx[i] * vx[i];
    s_y += vy[i];
    s_xy += vx[i] * vy[i];
  }
 
  const double d = s_xx * s_1 - s_x * s_x;
  a = (s_1 * s_xy - s_x * s_y) / d;
  b = (-s_x * s_xy + s_xx * s_y) / d;
}
 
//----------------------------------------------------------------------------------------------------
 
void ProtonReconstructionAlgorithm::release() {
  initialized_ = false;
 
  m_rp_optics_.clear();
}
 
//----------------------------------------------------------------------------------------------------
 
double ProtonReconstructionAlgorithm::ChiSquareCalculator::operator()(const double *parameters) const {
  // extract proton parameters
  const LHCInterpolatedOpticalFunctionsSet::Kinematics k_in = {
      0., parameters[1], parameters[3], parameters[2], parameters[0]};
 
  // calculate chi^2 by looping over hits
  double s2 = 0.;
 
  for (const auto &track : *tracks) {
    const CTPPSDetId rpId(track->rpId());
 
    // transport proton to the RP
    auto oit = m_rp_optics->find(rpId);
    LHCInterpolatedOpticalFunctionsSet::Kinematics k_out;
    oit->second.optics->transport(k_in, k_out);
 
    // proton position wrt. beam
    const double x = k_out.x - oit->second.x0;
    const double y = k_out.y - oit->second.y0;
 
    // calculate chi^2 contributions, convert track data mm --> cm
    const double x_diff_norm = (x - track->x() * 1E-1) / (track->xUnc() * 1E-1);
    const double y_diff_norm = (y - track->y() * 1E-1) / (track->yUnc() * 1E-1);
 
    // increase chi^2
    s2 += x_diff_norm * x_diff_norm + y_diff_norm * y_diff_norm;
  }
 
  return s2;
}
 
//----------------------------------------------------------------------------------------------------
 
double ProtonReconstructionAlgorithm::newtonGoalFcn(double xi,
                                                    double x_N,
                                                    double x_F,
                                                    const ProtonReconstructionAlgorithm::RPOpticsData &i_N,
                                                    const ProtonReconstructionAlgorithm::RPOpticsData &i_F) {
  return (x_N - i_N.s_x_d_vs_xi->Eval(xi)) * i_F.s_L_x_vs_xi->Eval(xi) -
         (x_F - i_F.s_x_d_vs_xi->Eval(xi)) * i_N.s_L_x_vs_xi->Eval(xi);
}
 
//----------------------------------------------------------------------------------------------------
 
reco::ForwardProton ProtonReconstructionAlgorithm::reconstructFromMultiRP(const CTPPSLocalTrackLiteRefVector &tracks,
                                                                          const LHCInfo &lhcInfo,
                                                                          std::ostream &os) const {
  // make sure optics is available for all tracks
  for (const auto &it : tracks) {
    auto oit = m_rp_optics_.find(it->rpId());
    if (oit == m_rp_optics_.end())
      throw cms::Exception("ProtonReconstructionAlgorithm")
          << "Optics data not available for RP " << it->rpId() << ", i.e. " << CTPPSDetId(it->rpId()) << ".";
  }
 
  // initial estimate of xi and th_x
  double xi_init = 0., th_x_init = 0.;
 
  if (useImprovedInitialEstimate_) {
    double x_N = tracks[0]->x() * 1E-1,  // conversion: mm --> cm
        x_F = tracks[1]->x() * 1E-1;
 
    const RPOpticsData &i_N = m_rp_optics_.find(tracks[0]->rpId())->second,
                       &i_F = m_rp_optics_.find(tracks[1]->rpId())->second;
 
    const double a = i_F.ch1 * i_N.la1 - i_N.ch1 * i_F.la1;
    const double b =
        i_F.ch0 * i_N.la1 - i_N.ch0 * i_F.la1 + i_F.ch1 * i_N.la0 - i_N.ch1 * i_F.la0 + x_N * i_F.la1 - x_F * i_N.la1;
    const double c = x_N * i_F.la0 - x_F * i_N.la0 + i_F.ch0 * i_N.la0 - i_N.ch0 * i_F.la0;
    const double D = b * b - 4. * a * c;
    const double sqrt_D = (D >= 0.) ? sqrt(D) : 0.;
 
    xi_init = (-b + sqrt_D) / 2. / a;
    th_x_init = (x_N - i_N.ch0 - i_N.ch1 * xi_init) / (i_N.la0 + i_N.la1 * xi_init);
  } else {
    double s_xi0 = 0., s_1 = 0.;
    for (const auto &track : tracks) {
      auto oit = m_rp_optics_.find(track->rpId());
      double xi = oit->second.s_xi_vs_x_d->Eval(track->x() * 1E-1 + oit->second.x0);  // conversion: mm --> cm
 
      s_1 += 1.;
      s_xi0 += xi;
    }
 
    xi_init = s_xi0 / s_1;
  }
 
  if (!std::isfinite(xi_init))
    xi_init = 0.;
  if (!std::isfinite(th_x_init))
    th_x_init = 0.;
 
  // initial estimate of th_y and vtx_y
  double y[2] = {0}, v_y[2] = {0}, L_y[2] = {0};
  unsigned int y_idx = 0;
  for (const auto &track : tracks) {
    if (y_idx >= 2)
      break;
 
    auto oit = m_rp_optics_.find(track->rpId());
 
    y[y_idx] = track->y() * 1E-1 - oit->second.s_y_d_vs_xi->Eval(xi_init);  // track y: mm --> cm
    v_y[y_idx] = oit->second.s_v_y_vs_xi->Eval(xi_init);
    L_y[y_idx] = oit->second.s_L_y_vs_xi->Eval(xi_init);
 
    y_idx++;
  }
 
  double vtx_y_init = 0.;
  double th_y_init = 0.;
 
  if (fitVtxY_) {
    const double det_y = v_y[0] * L_y[1] - L_y[0] * v_y[1];
    vtx_y_init = (det_y != 0.) ? (L_y[1] * y[0] - L_y[0] * y[1]) / det_y : 0.;
    th_y_init = (det_y != 0.) ? (v_y[0] * y[1] - v_y[1] * y[0]) / det_y : 0.;
  } else {
    vtx_y_init = 0.;
    th_y_init = (y[1] / L_y[1] + y[0] / L_y[0]) / 2.;
  }
 
  if (!std::isfinite(vtx_y_init))
    vtx_y_init = 0.;
  if (!std::isfinite(th_y_init))
    th_y_init = 0.;
 
  unsigned int armId = CTPPSDetId((*tracks.begin())->rpId()).arm();
 
  if (verbosity_)
    os << "ProtonReconstructionAlgorithm::reconstructFromMultiRP(" << armId << ")" << std::endl
       << "    initial estimate: xi_init = " << xi_init << ", th_x_init = " << th_x_init
       << ", th_y_init = " << th_y_init << ", vtx_y_init = " << vtx_y_init << "." << std::endl;
 
  // prepare result containers
  bool valid = false;
  double chi2 = 0.;
  double xi = 0., th_x = 0., th_y = 0., vtx_y = 0.;
 
  using FP = reco::ForwardProton;
  FP::CovarianceMatrix cm;
 
  if (multi_rp_algorithm_ == mrpaChi2) {
    // minimisation
    fitter_->Config().ParSettings(0).Set("xi", xi_init, 0.005);
    fitter_->Config().ParSettings(1).Set("th_x", th_x_init, 2E-6);
    fitter_->Config().ParSettings(2).Set("th_y", th_y_init, 2E-6);
    fitter_->Config().ParSettings(3).Set("vtx_y", vtx_y_init, 10E-6);
 
    if (!fitVtxY_)
      fitter_->Config().ParSettings(3).Fix();
 
    chiSquareCalculator_->tracks = &tracks;
    chiSquareCalculator_->m_rp_optics = &m_rp_optics_;
 
    fitter_->FitFCN();
    fitter_->FitFCN();  // second minimisation in case the first one had troubles
 
    // extract proton parameters
    const ROOT::Fit::FitResult &result = fitter_->Result();
    const double *params = result.GetParams();
 
    valid = result.IsValid();
    chi2 = result.Chi2();
    xi = params[0];
    th_x = params[1];
    th_y = params[2];
    vtx_y = params[3];
 
    map<unsigned int, signed int> index_map = {
        {(unsigned int)FP::Index::xi, 0},
        {(unsigned int)FP::Index::th_x, 1},
        {(unsigned int)FP::Index::th_y, 2},
        {(unsigned int)FP::Index::vtx_y, ((fitVtxY_) ? 3 : -1)},
        {(unsigned int)FP::Index::vtx_x, -1},
    };
 
    for (unsigned int i = 0; i < (unsigned int)FP::Index::num_indices; ++i) {
      signed int fit_i = index_map[i];
 
      for (unsigned int j = 0; j < (unsigned int)FP::Index::num_indices; ++j) {
        signed int fit_j = index_map[j];
 
        cm(i, j) = (fit_i >= 0 && fit_j >= 0) ? result.CovMatrix(fit_i, fit_j) : 0.;
      }
    }
  }
 
  else if (multi_rp_algorithm_ == mrpaNewton || multi_rp_algorithm_ == mrpaAnalIter) {
    // settings
    const unsigned int maxIterations = 100;
    const double maxXiDiff = 1E-6;
    const double xi_ep = 1E-5;
 
    // collect input
    double x_N = tracks[0]->x() * 1E-1,  // conversion: mm --> cm
        x_F = tracks[1]->x() * 1E-1;
 
    double y_N = tracks[0]->y() * 1E-1,  // conversion: mm --> cm
        y_F = tracks[1]->y() * 1E-1;
 
    const RPOpticsData &i_N = m_rp_optics_.find(tracks[0]->rpId())->second,
                       &i_F = m_rp_optics_.find(tracks[1]->rpId())->second;
 
    // horizontal reconstruction - run iterations
    valid = false;
    double xi_prev = xi_init;
    for (unsigned int it = 0; it < maxIterations; ++it) {
      if (multi_rp_algorithm_ == mrpaNewton) {
        const double g = newtonGoalFcn(xi_prev, x_N, x_F, i_N, i_F);
        const double gp = (newtonGoalFcn(xi_prev + xi_ep, x_N, x_F, i_N, i_F) - g) / xi_ep;
 
        xi = xi_prev - g / gp;
      }
 
      if (multi_rp_algorithm_ == mrpaAnalIter) {
        const double d_x_eff_N = i_N.s_x_d_vs_xi->Eval(xi_prev) / xi_prev;
        const double d_x_eff_F = i_F.s_x_d_vs_xi->Eval(xi_prev) / xi_prev;
 
        const double l_x_N = i_N.s_L_x_vs_xi->Eval(xi_prev);
        const double l_x_F = i_F.s_L_x_vs_xi->Eval(xi_prev);
 
        xi = (l_x_N * x_F - l_x_F * x_N) / (l_x_N * d_x_eff_F - l_x_F * d_x_eff_N);
      }
 
      if (abs(xi - xi_prev) < maxXiDiff) {
        valid = true;
        break;
      }
 
      xi_prev = xi;
    }
 
    th_x = (x_F - i_F.s_x_d_vs_xi->Eval(xi)) / i_F.s_L_x_vs_xi->Eval(xi);
 
    // vertical reconstruction
    const double y_eff_N = y_N - i_N.s_y_d_vs_xi->Eval(xi);
    const double y_eff_F = y_F - i_F.s_y_d_vs_xi->Eval(xi);
 
    const double l_y_N = i_N.s_L_y_vs_xi->Eval(xi);
    const double l_y_F = i_F.s_L_y_vs_xi->Eval(xi);
 
    const double v_y_N = i_N.s_v_y_vs_xi->Eval(xi);
    const double v_y_F = i_F.s_v_y_vs_xi->Eval(xi);
 
    const double det = l_y_N * v_y_F - l_y_F * v_y_N;
 
    if (fitVtxY_) {
      th_y = (y_eff_N * v_y_F - y_eff_F * v_y_N) / det;
      vtx_y = (l_y_N * y_eff_F - l_y_F * y_eff_N) / det;
    } else {
      th_y = (y_eff_N / l_y_N + y_eff_F / l_y_F) / 2.;
      vtx_y = 0.;
    }
 
    // covariance matrix kept empty - not to compromise the speed of these special algorithms
  }
 
  // print results
  if (verbosity_)
    os << "    fit valid=" << valid << std::endl
       << "    xi=" << xi << ", th_x=" << th_x << ", th_y=" << th_y << ", vtx_y=" << vtx_y << ", chiSq = " << chi2
       << std::endl;
 
  // save reco candidate
  const double sign_z = (armId == 0) ? +1. : -1.;  // CMS convention
  const FP::Point vertex(0., vtx_y, 0.);
  const double cos_th_sq = 1. - th_x * th_x - th_y * th_y;
  const double cos_th = (cos_th_sq > 0.) ? sqrt(cos_th_sq) : 1.;
  const double p = lhcInfo.energy() * (1. - xi);
  const FP::Vector momentum(-p * th_x,  // the signs reflect change LHC --> CMS convention
                            +p * th_y,
                            sign_z * p * cos_th);
  signed int ndf = 2. * tracks.size() - ((fitVtxY_) ? 4. : 3.);
 
  return reco::ForwardProton(chi2, ndf, vertex, momentum, xi, cm, FP::ReconstructionMethod::multiRP, tracks, valid);
}
 
//----------------------------------------------------------------------------------------------------
 
reco::ForwardProton ProtonReconstructionAlgorithm::reconstructFromSingleRP(const CTPPSLocalTrackLiteRef &track,
                                                                           const LHCInfo &lhcInfo,
                                                                           std::ostream &os) const {
  CTPPSDetId rpId(track->rpId());
 
  if (verbosity_)
    os << "reconstructFromSingleRP(" << rpId.arm() * 100 + rpId.station() * 10 + rpId.rp() << ")" << std::endl;
 
  // make sure optics is available for the track
  auto oit = m_rp_optics_.find(track->rpId());
  if (oit == m_rp_optics_.end())
    throw cms::Exception("ProtonReconstructionAlgorithm")
        << "Optics data not available for RP " << track->rpId() << ", i.e. " << rpId << ".";
 
  // rough estimate of xi and th_y from each track
  const double x_full = track->x() * 1E-1 + oit->second.x0;  // conversion mm --> cm
  const double xi = oit->second.s_xi_vs_x_d->Eval(x_full);
  const double L_y = oit->second.s_L_y_vs_xi->Eval(xi);
  const double th_y = track->y() * 1E-1 / L_y;  // conversion mm --> cm
 
  const double ep_x = 1E-6;
  const double dxi_dx = (oit->second.s_xi_vs_x_d->Eval(x_full + ep_x) - xi) / ep_x;
  const double xi_unc = abs(dxi_dx) * track->xUnc() * 1E-1;  // conversion mm --> cm
 
  const double ep_xi = 1E-4;
  const double dL_y_dxi = (oit->second.s_L_y_vs_xi->Eval(xi + ep_xi) - L_y) / ep_xi;
  const double th_y_unc_sq = th_y * th_y * (pow(track->yUnc() / track->y(), 2.) + pow(dL_y_dxi * xi_unc / L_y, 2.));
 
  if (verbosity_)
    os << "    xi = " << xi << " +- " << xi_unc << ", th_y = " << th_y << " +- " << sqrt(th_y_unc_sq) << "."
       << std::endl;
 
  using FP = reco::ForwardProton;
 
  // save proton candidate
  const double sign_z = (CTPPSDetId(track->rpId()).arm() == 0) ? +1. : -1.;  // CMS convention
  const FP::Point vertex(0., 0., 0.);
  const double cos_th_sq = 1. - th_y * th_y;
  const double cos_th = (cos_th_sq > 0.) ? sqrt(cos_th_sq) : 1.;
  const double p = lhcInfo.energy() * (1. - xi);
  const FP::Vector momentum(0., p * th_y, sign_z * p * cos_th);
 
  FP::CovarianceMatrix cm;
  cm((int)FP::Index::xi, (int)FP::Index::xi) = xi_unc * xi_unc;
  cm((int)FP::Index::th_y, (int)FP::Index::th_y) = th_y_unc_sq;
 
  CTPPSLocalTrackLiteRefVector trk;
  trk.push_back(track);
 
  return reco::ForwardProton(0., 0, vertex, momentum, xi, cm, FP::ReconstructionMethod::singleRP, trk, true);
}