RecoVertex/GhostTrackFitter/src/SequentialGhostTrackFitter.cc - master - githubmirror/cmssw

RecoVertex/GhostTrackFitter/src/SequentialGhostTrackFitter.cc

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31 май 2019, 13:16

31 май 2019, 13:1614da925

#include <vector>

#include "RecoVertex/GhostTrackFitter/interface/GhostTrackState.h"
#include "RecoVertex/GhostTrackFitter/interface/GhostTrackPrediction.h"

#include "RecoVertex/GhostTrackFitter/interface/SequentialGhostTrackFitter.h"

using namespace reco;

namespace {
  inline double sqr(double arg) { return arg * arg; }
}  // namespace

SequentialGhostTrackFitter::SequentialGhostTrackFitter()
    : maxIteration(15), minDeltaR(0.0015), minDistance(0.002), weightThreshold(0.001) {}

bool SequentialGhostTrackFitter::stable(const GhostTrackPrediction &before, const GhostTrackPrediction &after) const {
  return (sqr(after.sz() - before.sz()) + sqr(after.ip() - before.ip()) < sqr(minDistance) &&
          sqr(after.eta() - before.eta()) + sqr(after.phi() - before.phi()) < sqr(minDeltaR));
}

GhostTrackPrediction SequentialGhostTrackFitter::fit(const GhostTrackFitter::PredictionUpdater &updater,
                                                     const GhostTrackPrediction &prior,
                                                     std::vector<GhostTrackState> &states,
                                                     double &ndof,
                                                     double &chi2) {
  GhostTrackPrediction pred, lastPred = prior;

  reset();

  ndof = 0.;
  chi2 = 0.;

  unsigned int iteration = 0;
  for (;;) {
    pred = prior;

    if (states.begin() == states.end())
      break;

    if (iteration > 0) {
      for (unsigned int i = 0; i < states.size(); i++) {
        GhostTrackState &state = states[i];
        state.linearize(lastPred);
      }
    }

    ndof = 0.;  // prior gives us an initial ndof
    chi2 = 0.;

    for (std::vector<GhostTrackState>::const_iterator state = states.begin(); state != states.end(); ++state) {
      if (state->isValid() && state->weight() > weightThreshold)
        pred = updater.update(pred, *state, ndof, chi2);
    }

    if (++iteration >= maxIteration || stable(lastPred, pred))
      break;

    postFit(updater, pred, states);

    lastPred = pred;
  }

  return pred;
}