FitterHelperFunctions.h

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/*
  Copyright (C) 2002-2024 CERN for the benefit of the ATLAS collaboration
*/
 
#ifndef ACTSGEOMETRY_FITTERHELPER_H
#define ACTSGEOMETRY_FITTERHELPER_H
 
// ATHENA   
#include "TRT_ReadoutGeometry/TRT_BaseElement.h"
 
// ACTS
#include "Acts/TrackFitting/GainMatrixSmoother.hpp"
#include "Acts/TrackFitting/GainMatrixUpdater.hpp"
#include "Acts/TrackFitting/MbfSmoother.hpp"
 
// PACKAGE  
#include "ActsGeometry/ActsDetectorElement.h"
 
namespace ActsTrk::detail::FitterHelperFunctions {
  
  template<typename trajectory_t>
  Acts::Result<void> gainMatrixUpdate(const Acts::GeometryContext& gctx,
                    typename trajectory_t::TrackStateProxy trackState, 
                    const Acts::Logger& logger) {
    Acts::GainMatrixUpdater updater;
    return updater.template operator()<trajectory_t>(gctx, trackState, logger);
  }
 
  template<typename trajectory_t>
  Acts::Result<void> gainMatrixSmoother(const Acts::GeometryContext& gctx,
                trajectory_t& trajectory, 
                size_t entryIndex, 
                const Acts::Logger& logger) {
    Acts::GainMatrixSmoother smoother;
    return smoother.template operator()<trajectory_t>(gctx, trajectory, entryIndex, logger);
  }
 
  template<typename trajectory_t>
  Acts::Result<void> mbfSmoother(const Acts::GeometryContext& gctx,
                trajectory_t& trajectory, 
                size_t entryIndex, 
                const Acts::Logger& logger) {
    Acts::MbfSmoother smoother;
    return smoother.template operator()<trajectory_t>(gctx, trajectory, entryIndex, logger);
  }

  struct ATLASOutlierFinder {
    double StateChiSquaredPerNumberDoFCut = std::numeric_limits<double>::max();
    template<typename trajectory_t>
    bool operator()(typename Acts::MultiTrajectory<trajectory_t>::ConstTrackStateProxy state) const {
      // can't determine an outlier w/o a measurement or predicted parameters
      if (not state.hasCalibrated() or not state.hasPredicted()) {
        return false;
      }
      return Acts::visit_measurement(
          state.calibratedSize(),
    [&] (auto N) -> bool {
      constexpr size_t kMeasurementSize = decltype(N)::value;
 
      auto subspaceHelper = state.template projectorSubspaceHelper<kMeasurementSize>();
 
      typename Acts::TrackStateTraits<kMeasurementSize, true>::Calibrated calibrated{
        state.template calibrated<Acts::kMeasurementSizeMax>().data()};
      
      typename Acts::TrackStateTraits<kMeasurementSize, true>::CalibratedCovariance
        calibratedCovariance{state.template calibratedCovariance<Acts::kMeasurementSizeMax>().data()};
      
      // Take the projector (measurement mapping function)
      // TODO use the subspace helper directly
      const auto H = subspaceHelper.projector();
      
      const auto residual = calibrated - H * state.predicted();
      double chi2 = (residual.transpose() * (calibratedCovariance + H * state.predictedCovariance() * H.transpose()).inverse() * residual).value();     
            return (chi2 > StateChiSquaredPerNumberDoFCut * kMeasurementSize);
          });
    }
  };

  struct ReverseFilteringLogic {
    double momentumMax = std::numeric_limits<double>::max();

    template<typename trajectory_t>
    bool operator()(typename Acts::MultiTrajectory<trajectory_t>::ConstTrackStateProxy trackState) const {
      // can't determine an outlier w/o a measurement or predicted parameters
      auto momentum = std::abs(1. / trackState.filtered()[Acts::eBoundQOverP]);
      return (momentum <= momentumMax);
    }
  };
 
} // namespace
 
#endif