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 // This file is part of the ACTS project.
 //
 // Copyright (C) 2016 CERN for the benefit of the ACTS project
 //
 // This Source Code Form is subject to the terms of the Mozilla Public
 // License, v. 2.0. If a copy of the MPL was not distributed with this
 // file, You can obtain one at https://mozilla.org/MPL/2.0/.
 
 #pragma once
 
 // Workaround for building on clang+libstdc++
 #include "Acts/Utilities/detail/ReferenceWrapperAnyCompat.hpp"
 
 #include "Acts/EventData/MultiTrajectory.hpp"
 #include "Acts/EventData/MultiTrajectoryHelpers.hpp"
 #include "Acts/EventData/SourceLink.hpp"
 #include "Acts/EventData/TrackParameters.hpp"
 #include "Acts/EventData/TrackStateType.hpp"
 #include "Acts/EventData/VectorMultiTrajectory.hpp"
 #include "Acts/Geometry/GeometryContext.hpp"
 #include "Acts/MagneticField/MagneticFieldContext.hpp"
 #include "Acts/Propagator/ActorList.hpp"
 #include "Acts/Propagator/DirectNavigator.hpp"
 #include "Acts/Propagator/PropagatorOptions.hpp"
 #include "Acts/Propagator/StandardAborters.hpp"
 #include "Acts/Propagator/detail/PointwiseMaterialInteraction.hpp"
 #include "Acts/TrackFitting/KalmanFitterError.hpp"
 #include "Acts/TrackFitting/detail/KalmanUpdateHelpers.hpp"
 #include "Acts/TrackFitting/detail/VoidFitterComponents.hpp"
 #include "Acts/Utilities/CalibrationContext.hpp"
 #include "Acts/Utilities/Delegate.hpp"
 #include "Acts/Utilities/Logger.hpp"
 #include "Acts/Utilities/Result.hpp"
 #include "Acts/Utilities/TrackHelpers.hpp"
 
 #include <functional>
 #include <limits>
 #include <map>
 #include <memory>
 #include <type_traits>
 
 namespace Acts {
 
 enum class KalmanFitterTargetSurfaceStrategy {
   /// Use the first trackstate to reach target surface
   first,
   /// Use the last trackstate to reach target surface
   last,
   /// Use the first or last trackstate to reach target surface depending on the
   /// distance
   firstOrLast,
 };
 
 /// Extension struct which holds delegates to customise the KF behavior
 template <typename traj_t>
 struct KalmanFitterExtensions {
   using TrackStateProxy = typename traj_t::TrackStateProxy;
   using ConstTrackStateProxy = typename traj_t::ConstTrackStateProxy;
   using Parameters = typename TrackStateProxy::Parameters;
 
   using Calibrator =
       Delegate<void(const GeometryContext&, const CalibrationContext&,
                     const SourceLink&, TrackStateProxy)>;
 
   using Smoother = Delegate<Result<void>(const GeometryContext&, traj_t&,
                                          std::size_t, const Logger&)>;
 
   using Updater = Delegate<Result<void>(const GeometryContext&, TrackStateProxy,
                                         const Logger&)>;
 
   using OutlierFinder = Delegate<bool(ConstTrackStateProxy)>;
 
   using ReverseFilteringLogic = Delegate<bool(ConstTrackStateProxy)>;
 
   /// The Calibrator is a dedicated calibration algorithm that allows
   /// to calibrate measurements using track information, this could be
   /// e.g. sagging for wires, module deformations, etc.
   Calibrator calibrator;
 
   /// The updater incorporates measurement information into the track parameters
   Updater updater;
 
   /// The smoother back-propagates measurement information along the track
   Smoother smoother;
 
   /// Determines whether a measurement is supposed to be considered as an
   /// outlier
   OutlierFinder outlierFinder;
 
   /// Decides whether the smoothing stage uses linearized transport or full
   /// reverse propagation
   ReverseFilteringLogic reverseFilteringLogic;
 
   /// Retrieves the associated surface from a source link
   SourceLinkSurfaceAccessor surfaceAccessor;
 
   /// Default constructor which connects the default void components
   KalmanFitterExtensions() {
     calibrator.template connect<&detail::voidFitterCalibrator<traj_t>>();
     updater.template connect<&detail::voidFitterUpdater<traj_t>>();
     smoother.template connect<&detail::voidFitterSmoother<traj_t>>();
     outlierFinder.template connect<&detail::voidOutlierFinder<traj_t>>();
     reverseFilteringLogic
         .template connect<&detail::voidReverseFilteringLogic<traj_t>>();
     surfaceAccessor.connect<&detail::voidSurfaceAccessor>();
   }
 };
 
 /// Combined options for the Kalman fitter.
 ///
 /// @tparam traj_t The trajectory type
 template <typename traj_t>
 struct KalmanFitterOptions {
   /// PropagatorOptions with context.
   ///
   /// @param gctx The geometry context for this fit
   /// @param mctx The magnetic context for this fit
   /// @param cctx The calibration context for this fit
   /// @param extensions_ The KF extensions
   /// @param pOptions The plain propagator options
   /// @param rSurface The reference surface for the fit to be expressed at
   /// @param mScattering Whether to include multiple scattering
   /// @param eLoss Whether to include energy loss
   /// @param rFiltering Whether to run filtering in reversed direction as smoothing
   /// @param rfScaling Scale factor for the covariance matrix before the backward filtering
   /// @param freeToBoundCorrection_ Correction for non-linearity effect during transform from free to bound
   KalmanFitterOptions(const GeometryContext& gctx,
                       const MagneticFieldContext& mctx,
                       std::reference_wrapper<const CalibrationContext> cctx,
                       KalmanFitterExtensions<traj_t> extensions_,
                       const PropagatorPlainOptions& pOptions,
                       const Surface* rSurface = nullptr,
                       bool mScattering = true, bool eLoss = true,
                       bool rFiltering = false, double rfScaling = 1.0,
                       const FreeToBoundCorrection& freeToBoundCorrection_ =
                           FreeToBoundCorrection(false))
       : geoContext(gctx),
         magFieldContext(mctx),
         calibrationContext(cctx),
         extensions(extensions_),
         propagatorPlainOptions(pOptions),
         referenceSurface(rSurface),
         multipleScattering(mScattering),
         energyLoss(eLoss),
         reversedFiltering(rFiltering),
         reversedFilteringCovarianceScaling(rfScaling),
         freeToBoundCorrection(freeToBoundCorrection_) {}
   /// Contexts are required and the options must not be default-constructible.
   KalmanFitterOptions() = delete;
 
   /// Context object for the geometry
   std::reference_wrapper<const GeometryContext> geoContext;
   /// Context object for the magnetic field
   std::reference_wrapper<const MagneticFieldContext> magFieldContext;
   /// context object for the calibration
   std::reference_wrapper<const CalibrationContext> calibrationContext;
 
   KalmanFitterExtensions<traj_t> extensions;
 
   /// The trivial propagator options
   PropagatorPlainOptions propagatorPlainOptions;
 
   /// The reference Surface
   const Surface* referenceSurface = nullptr;
 
   /// Strategy to propagate to reference surface
   KalmanFitterTargetSurfaceStrategy referenceSurfaceStrategy =
       KalmanFitterTargetSurfaceStrategy::firstOrLast;
 
   /// Whether to consider multiple scattering
   bool multipleScattering = true;
 
   /// Whether to consider energy loss
   bool energyLoss = true;
 
   /// Whether to run filtering in reversed direction overwrite the
   /// ReverseFilteringLogic
   bool reversedFiltering = false;
 
   /// Factor by which the covariance of the input of the reversed filtering is
   /// scaled. This is only used in the backwardfiltering (if reversedFiltering
   /// is true or if the ReverseFilteringLogic return true for the track of
   /// interest)
   double reversedFilteringCovarianceScaling = 1.0;
 
   /// Whether to include non-linear correction during global to local
   /// transformation
   FreeToBoundCorrection freeToBoundCorrection;
 };
 
 template <typename traj_t>
 struct KalmanFitterResult {
   /// Fitted states that the actor has handled.
   traj_t* fittedStates{nullptr};
 
   /// This is the index of the 'tip' of the track stored in multitrajectory.
   /// This corresponds to the last measurement state in the multitrajectory.
   /// Since this KF only stores one trajectory, it is unambiguous.
   /// Acts::MultiTrajectoryTraits::kInvalid is the start of a trajectory.
   std::size_t lastMeasurementIndex = Acts::MultiTrajectoryTraits::kInvalid;
 
   /// This is the index of the 'tip' of the states stored in multitrajectory.
   /// This corresponds to the last state in the multitrajectory.
   /// Since this KF only stores one trajectory, it is unambiguous.
   /// Acts::MultiTrajectoryTraits::kInvalid is the start of a trajectory.
   std::size_t lastTrackIndex = Acts::MultiTrajectoryTraits::kInvalid;
 
   /// The optional Parameters at the provided surface
   std::optional<BoundTrackParameters> fittedParameters;
 
   /// Counter for states with non-outlier measurements
   std::size_t measurementStates = 0;
 
   /// Counter for measurements holes
   /// A hole correspond to a surface with an associated detector element with no
   /// associated measurement. Holes are only taken into account if they are
   /// between the first and last measurements.
   std::size_t measurementHoles = 0;
 
   /// Counter for handled states
   std::size_t processedStates = 0;
 
   /// Indicator if smoothing has been done.
   bool smoothed = false;
 
   /// Indicator if navigation direction has been reversed
   bool reversed = false;
 
   /// Indicator if track fitting has been done
   bool finished = false;
 
   /// Measurement surfaces without hits
   std::vector<const Surface*> missedActiveSurfaces;
 
   /// Measurement surfaces handled in both forward and backward filtering
   std::vector<const Surface*> passedAgainSurfaces;
 
   Result<void> result{Result<void>::success()};
 };
 
 /// Kalman fitter implementation.
 ///
 /// @tparam propagator_t Type of the propagation class
 ///
 /// The Kalman filter contains an Actor and a Sequencer sub-class.
 /// The Sequencer has to be part of the Navigator of the Propagator
 /// in order to initialize and provide the measurement surfaces.
 ///
 /// The Actor is part of the Propagation call and does the Kalman update
 /// and eventually the smoothing.  Updater, Smoother and Calibrator are
 /// given to the Actor for further use:
 /// - The Updater is the implemented kalman updater formalism, it
 ///   runs via a visitor pattern through the measurements.
 /// - The Smoother is called at the end of the filtering by the Actor.
 ///
 /// Measurements are not required to be ordered for the KalmanFilter,
 /// measurement ordering needs to be figured out by the navigation of
 /// the propagator.
 ///
 /// The void components are provided mainly for unit testing.
 template <typename propagator_t, typename traj_t>
 class KalmanFitter {
   /// The navigator type
   using KalmanNavigator = typename propagator_t::Navigator;
 
   /// The navigator has DirectNavigator type or not
   static constexpr bool isDirectNavigator =
       std::is_same_v<KalmanNavigator, DirectNavigator>;
 
  public:
   explicit KalmanFitter(propagator_t pPropagator,
                         std::unique_ptr<const Logger> _logger =
                             getDefaultLogger("KalmanFitter", Logging::INFO))
       : m_propagator(std::move(pPropagator)),
         m_logger{std::move(_logger)},
         m_actorLogger{m_logger->cloneWithSuffix("Actor")} {}
 
  private:
   /// The propagator for the transport and material update
   propagator_t m_propagator;
 
   /// The logger instance
   std::unique_ptr<const Logger> m_logger;
   std::unique_ptr<const Logger> m_actorLogger;
 
   const Logger& logger() const { return *m_logger; }
 
   /// @brief Propagator Actor plugin for the KalmanFilter
   ///
   /// @tparam parameters_t The type of parameters used for "local" parameters.
   /// @tparam calibrator_t The type of calibrator
   /// @tparam outlier_finder_t Type of the outlier finder class
   ///
   /// The KalmanActor does not rely on the measurements to be
   /// sorted along the track.
   template <typename parameters_t>
   class Actor {
    public:
     /// Broadcast the result_type
     using result_type = KalmanFitterResult<traj_t>;
 
     /// The target surface aboter
     SurfaceReached targetReached{std::numeric_limits<double>::lowest()};
 
     /// Strategy to propagate to target surface
     KalmanFitterTargetSurfaceStrategy targetSurfaceStrategy =
         KalmanFitterTargetSurfaceStrategy::firstOrLast;
 
     /// Allows retrieving measurements for a surface
     const std::map<GeometryIdentifier, SourceLink>* inputMeasurements = nullptr;
 
     /// Whether to consider multiple scattering.
     bool multipleScattering = true;
 
     /// Whether to consider energy loss.
     bool energyLoss = true;
 
     /// Whether run reversed filtering
     bool reversedFiltering = false;
 
     /// Scale the covariance before the reversed filtering
     double reversedFilteringCovarianceScaling = 1.0;
 
     /// Whether to include non-linear correction during global to local
     /// transformation
     FreeToBoundCorrection freeToBoundCorrection;
 
     /// Input MultiTrajectory
     std::shared_ptr<traj_t> outputStates;
 
     /// The logger instance
     const Logger* actorLogger{nullptr};
 
     /// Logger helper
     const Logger& logger() const { return *actorLogger; }
 
     KalmanFitterExtensions<traj_t> extensions;
 
     /// Calibration context for the fit
     const CalibrationContext* calibrationContext{nullptr};
 
     /// @brief Kalman actor operation
     ///
     /// @tparam propagator_state_t is the type of Propagator state
     /// @tparam stepper_t Type of the stepper
     /// @tparam navigator_t Type of the navigator
     ///
     /// @param state is the mutable propagator state object
     /// @param stepper The stepper in use
     /// @param navigator The navigator in use
     /// @param result is the mutable result state object
     template <typename propagator_state_t, typename stepper_t,
               typename navigator_t>
     void act(propagator_state_t& state, const stepper_t& stepper,
              const navigator_t& navigator, result_type& result,
              const Logger& /*logger*/) const {
       assert(result.fittedStates && "No MultiTrajectory set");
 
       if (result.finished) {
         return;
       }
 
       ACTS_VERBOSE("KalmanFitter step at pos: "
                    << stepper.position(state.stepping).transpose()
                    << " dir: " << stepper.direction(state.stepping).transpose()
                    << " momentum: "
                    << stepper.absoluteMomentum(state.stepping));
 
       // Update:
       // - Waiting for a current surface
       auto surface = navigator.currentSurface(state.navigation);
       std::string direction = state.options.direction.toString();
       if (surface != nullptr) {
         // Check if the surface is in the measurement map
         // -> Get the measurement / calibrate
         // -> Create the predicted state
         // -> Check outlier behavior, if non-outlier:
         // -> Perform the kalman update
         // -> Fill track state information & update stepper information
 
         if (!result.smoothed && !result.reversed) {
           ACTS_VERBOSE("Perform " << direction << " filter step");
           auto res = filter(surface, state, stepper, navigator, result);
           if (!res.ok()) {
             ACTS_ERROR("Error in " << direction << " filter: " << res.error());
             result.result = res.error();
           }
         }
         if (result.reversed) {
           ACTS_VERBOSE("Perform " << direction << " filter step");
           auto res = reversedFilter(surface, state, stepper, navigator, result);
           if (!res.ok()) {
             ACTS_ERROR("Error in " << direction << " filter: " << res.error());
             result.result = res.error();
           }
         }
       }
 
       // Finalization:
       // when all track states have been handled or the navigation is breaked,
       // reset navigation&stepping before run reversed filtering or
       // proceed to run smoothing
       if (!result.smoothed && !result.reversed) {
         if (result.measurementStates == inputMeasurements->size() ||
             (result.measurementStates > 0 &&
              navigator.navigationBreak(state.navigation))) {
           // Remove the missing surfaces that occur after the last measurement
           result.missedActiveSurfaces.resize(result.measurementHoles);
           // now get track state proxy for the smoothing logic
           typename traj_t::ConstTrackStateProxy trackStateProxy{
               result.fittedStates->getTrackState(result.lastMeasurementIndex)};
           if (reversedFiltering ||
               extensions.reverseFilteringLogic(trackStateProxy)) {
             // Start to run reversed filtering:
             // Reverse navigation direction and reset navigation and stepping
             // state to last measurement
             ACTS_VERBOSE("Reverse navigation direction.");
             auto res = reverse(state, stepper, navigator, result);
             if (!res.ok()) {
               ACTS_ERROR("Error in reversing navigation: " << res.error());
               result.result = res.error();
             }
           } else {
             // --> Search the starting state to run the smoothing
             // --> Call the smoothing
             // --> Set a stop condition when all track states have been
             // handled
             ACTS_VERBOSE("Finalize/run smoothing");
             auto res = finalize(state, stepper, navigator, result);
             if (!res.ok()) {
               ACTS_ERROR("Error in finalize: " << res.error());
               result.result = res.error();
             }
           }
         }
       }
 
       // Post-finalization:
       // - Progress to target/reference surface and built the final track
       // parameters
       if (result.smoothed || result.reversed) {
         if (result.smoothed) {
           // Update state and stepper with material effects
           // Only for smoothed as reverse filtering will handle this separately
           materialInteractor(navigator.currentSurface(state.navigation), state,
                              stepper, navigator,
                              MaterialUpdateStage::FullUpdate);
         }
 
         if (targetReached.surface == nullptr) {
           // If no target surface provided:
           // -> Return an error when using reversed filtering mode
           // -> Fitting is finished here
           if (result.reversed) {
             ACTS_ERROR(
                 "The target surface needed for aborting reversed propagation "
                 "is not provided");
             result.result =
                 Result<void>(KalmanFitterError::ReversePropagationFailed);
           } else {
             ACTS_VERBOSE(
                 "No target surface set. Completing without fitted track "
                 "parameter");
             // Remember the track fitting is done
             result.finished = true;
           }
         } else if (targetReached.checkAbort(state, stepper, navigator,
                                             logger())) {
           ACTS_VERBOSE("Completing with fitted track parameter");
           // Transport & bind the parameter to the final surface
           auto res = stepper.boundState(state.stepping, *targetReached.surface,
                                         true, freeToBoundCorrection);
           if (!res.ok()) {
             ACTS_ERROR("Error in " << direction << " filter: " << res.error());
             result.result = res.error();
             return;
           }
           auto& fittedState = *res;
           // Assign the fitted parameters
           result.fittedParameters = std::get<BoundTrackParameters>(fittedState);
 
           // Reset smoothed status of states missed in reversed filtering
           if (result.reversed) {
             result.fittedStates->applyBackwards(
                 result.lastMeasurementIndex, [&](auto trackState) {
                   auto fSurface = &trackState.referenceSurface();
                   if (!rangeContainsValue(result.passedAgainSurfaces,
                                           fSurface)) {
                     // If reversed filtering missed this surface, then there is
                     // no smoothed parameter
                     trackState.unset(TrackStatePropMask::Smoothed);
                     trackState.typeFlags().set(TrackStateFlag::OutlierFlag);
                   }
                 });
           }
           // Remember the track fitting is done
           result.finished = true;
         }
       }
     }
 
     template <typename propagator_state_t, typename stepper_t,
               typename navigator_t>
     bool checkAbort(propagator_state_t& /*state*/, const stepper_t& /*stepper*/,
                     const navigator_t& /*navigator*/, const result_type& result,
                     const Logger& /*logger*/) const {
       return (!result.result.ok() || result.finished);
     }
 
     /// @brief Kalman actor operation: reverse direction
     ///
     /// @tparam propagator_state_t is the type of Propagator state
     /// @tparam stepper_t Type of the stepper
     /// @tparam navigator_t Type of the navigator
     ///
     /// @param state is the mutable propagator state object
     /// @param stepper The stepper in use
     /// @param navigator The navigator in use
     /// @param result is the mutable result state object
     template <typename propagator_state_t, typename stepper_t,
               typename navigator_t>
     Result<void> reverse(propagator_state_t& state, const stepper_t& stepper,
                          const navigator_t& navigator,
                          result_type& result) const {
       // Check if there is a measurement on track
       if (result.lastMeasurementIndex ==
           Acts::MultiTrajectoryTraits::kInvalid) {
         ACTS_ERROR("No point to reverse for a track without measurements.");
         return KalmanFitterError::ReversePropagationFailed;
       }
 
       // Remember the navigation direction has been reversed
       result.reversed = true;
 
       // Reverse navigation direction
       state.options.direction = state.options.direction.invert();
 
       // Reset propagator options
       // TODO Not sure if reset of pathLimit during propagation makes any sense
       state.options.pathLimit =
           state.options.direction * std::abs(state.options.pathLimit);
 
       // Get the last measurement state and reset navigation&stepping state
       // based on information on this state
       auto st = result.fittedStates->getTrackState(result.lastMeasurementIndex);
 
       // Update the stepping state
       stepper.initialize(
           state.stepping, st.filtered(),
           reversedFilteringCovarianceScaling * st.filteredCovariance(),
           stepper.particleHypothesis(state.stepping), st.referenceSurface());
 
       // For the last measurement state, smoothed is filtered
       st.smoothed() = st.filtered();
       st.smoothedCovariance() = st.filteredCovariance();
       result.passedAgainSurfaces.push_back(&st.referenceSurface());
 
       // Reset navigation state
       // We do not need to specify a target here since this will be handled
       // separately in the KF actor
       state.navigation.options.startSurface = &st.referenceSurface();
       state.navigation.options.targetSurface = nullptr;
       auto navInitRes = navigator.initialize(
           state.navigation, stepper.position(state.stepping),
           stepper.direction(state.stepping), state.options.direction);
       if (!navInitRes.ok()) {
         return navInitRes.error();
       }
 
       // Update material effects for last measurement state in reversed
       // direction
       materialInteractor(navigator.currentSurface(state.navigation), state,
                          stepper, navigator, MaterialUpdateStage::FullUpdate);
 
       return Result<void>::success();
     }
 
     /// @brief Kalman actor operation: update
     ///
     /// @tparam propagator_state_t is the type of Propagator state
     /// @tparam stepper_t Type of the stepper
     /// @tparam navigator_t Type of the navigator
     ///
     /// @param surface The surface where the update happens
     /// @param state The mutable propagator state object
     /// @param stepper The stepper in use
     /// @param navigator The navigator in use
     /// @param result The mutable result state object
     template <typename propagator_state_t, typename stepper_t,
               typename navigator_t>
     Result<void> filter(const Surface* surface, propagator_state_t& state,
                         const stepper_t& stepper, const navigator_t& navigator,
                         result_type& result) const {
       const bool precedingMeasurementExists = result.measurementStates > 0;
       const bool surfaceIsSensitive =
           surface->associatedDetectorElement() != nullptr;
       const bool surfaceHasMaterial = surface->surfaceMaterial() != nullptr;
 
       // Try to find the surface in the measurement surfaces
       auto sourceLinkIt = inputMeasurements->find(surface->geometryId());
       if (sourceLinkIt != inputMeasurements->end()) {
         // Screen output message
         ACTS_VERBOSE("Measurement surface " << surface->geometryId()
                                             << " detected.");
         // Transport the covariance to the surface
         stepper.transportCovarianceToBound(state.stepping, *surface,
                                            freeToBoundCorrection);
 
         // Update state and stepper with pre material effects
         materialInteractor(surface, state, stepper, navigator,
                            MaterialUpdateStage::PreUpdate);
 
         // do the kalman update (no need to perform covTransport here, hence no
         // point in performing globalToLocal correction)
         auto trackStateProxyRes = detail::kalmanHandleMeasurement(
             *calibrationContext, state, stepper, extensions, *surface,
             sourceLinkIt->second, *result.fittedStates, result.lastTrackIndex,
             false, logger());
 
         if (!trackStateProxyRes.ok()) {
           return trackStateProxyRes.error();
         }
 
         const auto& trackStateProxy = *trackStateProxyRes;
         result.lastTrackIndex = trackStateProxy.index();
 
         // Update the stepper if it is not an outlier
         if (trackStateProxy.typeFlags().test(
                 Acts::TrackStateFlag::MeasurementFlag)) {
           // Update the stepping state with filtered parameters
           ACTS_VERBOSE("Filtering step successful, updated parameters are:\n"
                        << trackStateProxy.filtered().transpose());
           // update stepping state using filtered parameters after kalman
           stepper.update(state.stepping,
                          MultiTrajectoryHelpers::freeFiltered(
                              state.options.geoContext, trackStateProxy),
                          trackStateProxy.filtered(),
                          trackStateProxy.filteredCovariance(), *surface);
           // We count the state with measurement
           ++result.measurementStates;
         }
 
         // Update state and stepper with post material effects
         materialInteractor(surface, state, stepper, navigator,
                            MaterialUpdateStage::PostUpdate);
         // We count the processed state
         ++result.processedStates;
         // Update the number of holes count only when encountering a
         // measurement
         result.measurementHoles = result.missedActiveSurfaces.size();
         // Since we encountered a measurement update the lastMeasurementIndex to
         // the lastTrackIndex.
         result.lastMeasurementIndex = result.lastTrackIndex;
 
       } else if ((precedingMeasurementExists && surfaceIsSensitive) ||
                  surfaceHasMaterial) {
         // We only create track states here if there is already measurement
         // detected or if the surface has material (no holes before the first
         // measurement)
         auto trackStateProxyRes = detail::kalmanHandleNoMeasurement(
             state.stepping, stepper, *surface, *result.fittedStates,
             result.lastTrackIndex, true, logger(), precedingMeasurementExists,
             freeToBoundCorrection);
 
         if (!trackStateProxyRes.ok()) {
           return trackStateProxyRes.error();
         }
 
         const auto& trackStateProxy = *trackStateProxyRes;
         result.lastTrackIndex = trackStateProxy.index();
 
         if (trackStateProxy.typeFlags().test(TrackStateFlag::HoleFlag)) {
           // Count the missed surface
           result.missedActiveSurfaces.push_back(surface);
         }
 
         ++result.processedStates;
 
         // Update state and stepper with (possible) material effects
         materialInteractor(surface, state, stepper, navigator,
                            MaterialUpdateStage::FullUpdate);
       }
       return Result<void>::success();
     }
 
     /// @brief Kalman actor operation: update in reversed direction
     ///
     /// @tparam propagator_state_t is the type of Propagator state
     /// @tparam stepper_t Type of the stepper
     /// @tparam navigator_t Type of the navigator
     ///
     /// @param surface The surface where the update happens
     /// @param state The mutable propagator state object
     /// @param stepper The stepper in use
     /// @param navigator The navigator in use
     /// @param result The mutable result state object
     template <typename propagator_state_t, typename stepper_t,
               typename navigator_t>
     Result<void> reversedFilter(const Surface* surface,
                                 propagator_state_t& state,
                                 const stepper_t& stepper,
                                 const navigator_t& navigator,
                                 result_type& result) const {
       // Try to find the surface in the measurement surfaces
       auto sourceLinkIt = inputMeasurements->find(surface->geometryId());
       if (sourceLinkIt != inputMeasurements->end()) {
         // Screen output message
         ACTS_VERBOSE("Measurement surface "
                      << surface->geometryId()
                      << " detected in reversed propagation.");
 
         // No reversed filtering for last measurement state, but still update
         // with material effects
         if (result.reversed &&
             surface == navigator.startSurface(state.navigation)) {
           materialInteractor(surface, state, stepper, navigator,
                              MaterialUpdateStage::FullUpdate);
           return Result<void>::success();
         }
 
         // Transport the covariance to the surface
         stepper.transportCovarianceToBound(state.stepping, *surface,
                                            freeToBoundCorrection);
 
         // Update state and stepper with pre material effects
         materialInteractor(surface, state, stepper, navigator,
                            MaterialUpdateStage::PreUpdate);
 
         auto fittedStates = *result.fittedStates;
 
         // Add a <mask> TrackState entry multi trajectory. This allocates
         // storage for all components, which we will set later.
         TrackStatePropMask mask =
             TrackStatePropMask::Predicted | TrackStatePropMask::Filtered |
             TrackStatePropMask::Smoothed | TrackStatePropMask::Jacobian |
             TrackStatePropMask::Calibrated;
         const std::size_t currentTrackIndex = fittedStates.addTrackState(
             mask, Acts::MultiTrajectoryTraits::kInvalid);
 
         // now get track state proxy back
         typename traj_t::TrackStateProxy trackStateProxy =
             fittedStates.getTrackState(currentTrackIndex);
 
         // Set the trackStateProxy components with the state from the ongoing
         // propagation
         {
           trackStateProxy.setReferenceSurface(surface->getSharedPtr());
           // Bind the transported state to the current surface
           auto res = stepper.boundState(state.stepping, *surface, false,
                                         freeToBoundCorrection);
           if (!res.ok()) {
             return res.error();
           }
           const auto& [boundParams, jacobian, pathLength] = *res;
 
           // Fill the track state
           trackStateProxy.predicted() = boundParams.parameters();
           trackStateProxy.predictedCovariance() = state.stepping.cov;
 
           trackStateProxy.jacobian() = jacobian;
           trackStateProxy.pathLength() = pathLength;
         }
 
         // We have predicted parameters, so calibrate the uncalibrated input
         // measurement
         extensions.calibrator(state.geoContext, *calibrationContext,
                               sourceLinkIt->second, trackStateProxy);
 
         // If the update is successful, set covariance and
         auto updateRes =
             extensions.updater(state.geoContext, trackStateProxy, logger());
         if (!updateRes.ok()) {
           ACTS_ERROR("Backward update step failed: " << updateRes.error());
           return updateRes.error();
         } else {
           // Update the stepping state with filtered parameters
           ACTS_VERBOSE(
               "Backward filtering step successful, updated parameters are:\n"
               << trackStateProxy.filtered().transpose());
 
           // Fill the smoothed parameter for the existing track state
           result.fittedStates->applyBackwards(
               result.lastMeasurementIndex, [&](auto trackState) {
                 auto fSurface = &trackState.referenceSurface();
                 if (fSurface == surface) {
                   result.passedAgainSurfaces.push_back(surface);
                   trackState.smoothed() = trackStateProxy.filtered();
                   trackState.smoothedCovariance() =
                       trackStateProxy.filteredCovariance();
                   return false;
                 }
                 return true;
               });
 
           // update stepping state using filtered parameters after kalman
           // update We need to (re-)construct a BoundTrackParameters instance
           // here, which is a bit awkward.
           stepper.update(state.stepping,
                          MultiTrajectoryHelpers::freeFiltered(
                              state.options.geoContext, trackStateProxy),
                          trackStateProxy.filtered(),
                          trackStateProxy.filteredCovariance(), *surface);
 
           // Update state and stepper with post material effects
           materialInteractor(surface, state, stepper, navigator,
                              MaterialUpdateStage::PostUpdate);
         }
       } else if (surface->associatedDetectorElement() != nullptr ||
                  surface->surfaceMaterial() != nullptr) {
         // Transport covariance
         if (surface->associatedDetectorElement() != nullptr) {
           ACTS_VERBOSE("Detected hole on " << surface->geometryId()
                                            << " in reversed filtering");
           if (state.stepping.covTransport) {
             stepper.transportCovarianceToBound(state.stepping, *surface);
           }
         } else if (surface->surfaceMaterial() != nullptr) {
           ACTS_VERBOSE("Detected in-sensitive surface "
                        << surface->geometryId() << " in reversed filtering");
           if (state.stepping.covTransport) {
             stepper.transportCovarianceToCurvilinear(state.stepping);
           }
         }
         // Not creating bound state here, so need manually reinitialize
         // jacobian
         stepper.setIdentityJacobian(state.stepping);
         if (surface->surfaceMaterial() != nullptr) {
           // Update state and stepper with material effects
           materialInteractor(surface, state, stepper, navigator,
                              MaterialUpdateStage::FullUpdate);
         }
       }
 
       return Result<void>::success();
     }
 
     /// @brief Kalman actor operation: material interaction
     ///
     /// @tparam propagator_state_t is the type of Propagator state
     /// @tparam stepper_t Type of the stepper
     /// @tparam navigator_t Type of the navigator
     ///
     /// @param surface The surface where the material interaction happens
     /// @param state The mutable propagator state object
     /// @param stepper The stepper in use
     /// @param navigator The navigator in use
     /// @param updateStage The material update stage
     ///
     template <typename propagator_state_t, typename stepper_t,
               typename navigator_t>
     void materialInteractor(const Surface* surface, propagator_state_t& state,
                             const stepper_t& stepper,
                             const navigator_t& navigator,
                             const MaterialUpdateStage& updateStage) const {
       // Protect against null surface
       if (!surface) {
         ACTS_VERBOSE(
             "Surface is nullptr. Cannot be used for material interaction");
         return;
       }
 
       // Indicator if having material
       bool hasMaterial = false;
 
       if (surface && surface->surfaceMaterial()) {
         // Prepare relevant input particle properties
         detail::PointwiseMaterialInteraction interaction(surface, state,
                                                          stepper);
         // Evaluate the material properties
         if (interaction.evaluateMaterialSlab(state, navigator, updateStage)) {
           // Surface has material at this stage
           hasMaterial = true;
 
           // Evaluate the material effects
           interaction.evaluatePointwiseMaterialInteraction(multipleScattering,
                                                            energyLoss);
 
           // Screen out material effects info
           ACTS_VERBOSE("Material effects on surface: "
                        << surface->geometryId()
                        << " at update stage: " << updateStage << " are :");
           ACTS_VERBOSE("eLoss = "
                        << interaction.Eloss << ", "
                        << "variancePhi = " << interaction.variancePhi << ", "
                        << "varianceTheta = " << interaction.varianceTheta
                        << ", "
                        << "varianceQoverP = " << interaction.varianceQoverP);
 
           // Update the state and stepper with material effects
           interaction.updateState(state, stepper, addNoise);
         }
       }
 
       if (!hasMaterial) {
         // Screen out message
         ACTS_VERBOSE("No material effects on surface: " << surface->geometryId()
                                                         << " at update stage: "
                                                         << updateStage);
       }
     }
 
     /// @brief Kalman actor operation: finalize
     ///
     /// @tparam propagator_state_t is the type of Propagator state
     /// @tparam stepper_t Type of the stepper
     /// @tparam navigator_t Type of the navigator
     ///
     /// @param state is the mutable propagator state object
     /// @param stepper The stepper in use
     /// @param navigator The navigator in use
     /// @param result is the mutable result state object
     template <typename propagator_state_t, typename stepper_t,
               typename navigator_t>
     Result<void> finalize(propagator_state_t& state, const stepper_t& stepper,
                           const navigator_t& navigator,
                           result_type& result) const {
       // Remember you smoothed the track states
       result.smoothed = true;
 
       // Get the indices of the first states (can be either a measurement or
       // material);
       std::size_t firstStateIndex = result.lastMeasurementIndex;
       // Count track states to be smoothed
       std::size_t nStates = 0;
       result.fittedStates->applyBackwards(
           result.lastMeasurementIndex, [&](auto st) {
             bool isMeasurement =
                 st.typeFlags().test(TrackStateFlag::MeasurementFlag);
             bool isOutlier = st.typeFlags().test(TrackStateFlag::OutlierFlag);
             // We are excluding non measurement states and outlier here. Those
             // can decrease resolution because only the smoothing corrected the
             // very first prediction as filtering is not possible.
             if (isMeasurement && !isOutlier) {
               firstStateIndex = st.index();
             }
             nStates++;
           });
       // Return error if the track has no measurement states (but this should
       // not happen)
       if (nStates == 0) {
         ACTS_ERROR("Smoothing for a track without measurements.");
         return KalmanFitterError::SmoothFailed;
       }
       // Screen output for debugging
       ACTS_VERBOSE("Apply smoothing on " << nStates
                                          << " filtered track states.");
 
       // Smooth the track states
       auto smoothRes =
           extensions.smoother(state.geoContext, *result.fittedStates,
                               result.lastMeasurementIndex, logger());
       if (!smoothRes.ok()) {
         ACTS_ERROR("Smoothing step failed: " << smoothRes.error());
         return smoothRes.error();
       }
 
       // Return in case no target surface
       if (targetReached.surface == nullptr) {
         return Result<void>::success();
       }
 
       // Obtain the smoothed parameters at first/last measurement state
       auto firstCreatedState =
           result.fittedStates->getTrackState(firstStateIndex);
       auto lastCreatedMeasurement =
           result.fittedStates->getTrackState(result.lastMeasurementIndex);
 
       // Lambda to get the intersection of the free params on the target surface
       auto target = [&](const FreeVector& freeVector) -> SurfaceIntersection {
         return targetReached.surface
             ->intersect(
                 state.geoContext, freeVector.segment<3>(eFreePos0),
                 state.options.direction * freeVector.segment<3>(eFreeDir0),
                 BoundaryTolerance::None(), state.options.surfaceTolerance)
             .closest();
       };
 
       // The smoothed free params at the first/last measurement state.
       // (the first state can also be a material state)
       auto firstParams = MultiTrajectoryHelpers::freeSmoothed(
           state.options.geoContext, firstCreatedState);
       auto lastParams = MultiTrajectoryHelpers::freeSmoothed(
           state.options.geoContext, lastCreatedMeasurement);
       // Get the intersections of the smoothed free parameters with the target
       // surface
       const auto firstIntersection = target(firstParams);
       const auto lastIntersection = target(lastParams);
 
       // Update the stepping parameters - in order to progress to destination.
       // At the same time, reverse navigation direction for further stepping if
       // necessary.
       // @note The stepping parameters is updated to the smoothed parameters at
       // either the first measurement state or the last measurement state. It
       // assumes the target surface is not within the first and the last
       // smoothed measurement state. Also, whether the intersection is on
       // surface is not checked here.
       bool useFirstTrackState = true;
       switch (targetSurfaceStrategy) {
         case KalmanFitterTargetSurfaceStrategy::first:
           useFirstTrackState = true;
           break;
         case KalmanFitterTargetSurfaceStrategy::last:
           useFirstTrackState = false;
           break;
         case KalmanFitterTargetSurfaceStrategy::firstOrLast:
           useFirstTrackState = std::abs(firstIntersection.pathLength()) <=
                                std::abs(lastIntersection.pathLength());
           break;
         default:
           ACTS_ERROR("Unknown target surface strategy");
           return KalmanFitterError::SmoothFailed;
       }
       bool reverseDirection = false;
       if (useFirstTrackState) {
         stepper.initialize(state.stepping, firstCreatedState.smoothed(),
                            firstCreatedState.smoothedCovariance(),
                            stepper.particleHypothesis(state.stepping),
                            firstCreatedState.referenceSurface());
         reverseDirection = firstIntersection.pathLength() < 0;
       } else {
         stepper.initialize(state.stepping, lastCreatedMeasurement.smoothed(),
                            lastCreatedMeasurement.smoothedCovariance(),
                            stepper.particleHypothesis(state.stepping),
                            lastCreatedMeasurement.referenceSurface());
         reverseDirection = lastIntersection.pathLength() < 0;
       }
       // Reverse the navigation direction if necessary
       if (reverseDirection) {
         ACTS_VERBOSE(
             "Reverse navigation direction after smoothing for reaching the "
             "target surface");
         state.options.direction = state.options.direction.invert();
       }
       const auto& surface = useFirstTrackState
                                 ? firstCreatedState.referenceSurface()
                                 : lastCreatedMeasurement.referenceSurface();
 
       ACTS_VERBOSE(
           "Smoothing successful, updating stepping state to smoothed "
           "parameters at surface "
           << surface.geometryId() << ". Prepared to reach the target surface.");
 
       // Reset the navigation state to enable propagation towards the target
       // surface
       // Set targetSurface to nullptr as it is handled manually in the actor
       auto navigationOptions = state.navigation.options;
       navigationOptions.startSurface = &surface;
       navigationOptions.targetSurface = nullptr;
       state.navigation = navigator.makeState(navigationOptions);
       auto navInitRes = navigator.initialize(
           state.navigation, stepper.position(state.stepping),
           stepper.direction(state.stepping), state.options.direction);
       if (!navInitRes.ok()) {
         return navInitRes.error();
       }
 
       return Result<void>::success();
     }
   };
 
  public:
   /// Fit implementation of the forward filter, calls the
   /// the filter and smoother/reversed filter
   ///
   /// @tparam source_link_iterator_t Iterator type used to pass source links
   /// @tparam start_parameters_t Type of the initial parameters
   /// @tparam parameters_t Type of parameters used for local parameters
   /// @tparam track_container_t Type of the track container
   ///
   /// @param it Begin iterator for the fittable uncalibrated measurements
   /// @param end End iterator for the fittable uncalibrated measurements
   /// @param sParameters The initial track parameters
   /// @param kfOptions KalmanOptions steering the fit
   /// @param trackContainer Input track container storage to append into
   /// @note The input measurements are given in the form of @c SourceLink s.
   /// It's the calibrators job to turn them into calibrated measurements used in
   /// the fit.
   ///
   /// @return the output as an output track
   template <typename source_link_iterator_t, typename start_parameters_t,
             typename parameters_t = BoundTrackParameters,
             TrackContainerFrontend track_container_t>
   Result<typename track_container_t::TrackProxy> fit(
       source_link_iterator_t it, source_link_iterator_t end,
       const start_parameters_t& sParameters,
       const KalmanFitterOptions<traj_t>& kfOptions,
       track_container_t& trackContainer) const
     requires(!isDirectNavigator)
   {
     // To be able to find measurements later, we put them into a map
     // We need to copy input SourceLinks anyway, so the map can own them.
     ACTS_VERBOSE("Preparing " << std::distance(it, end)
                               << " input measurements");
     std::map<GeometryIdentifier, SourceLink> inputMeasurements;
     // for (const auto& sl : sourceLinks) {
     for (; it != end; ++it) {
       SourceLink sl = *it;
       const Surface* surface = kfOptions.extensions.surfaceAccessor(sl);
       // @TODO: This can probably change over to surface pointers as keys
       auto geoId = surface->geometryId();
       inputMeasurements.emplace(geoId, std::move(sl));
     }
 
     // Create the ActorList
     using KalmanActor = Actor<parameters_t>;
 
     using KalmanResult = typename KalmanActor::result_type;
     using Actors = ActorList<KalmanActor>;
     using PropagatorOptions = typename propagator_t::template Options<Actors>;
 
     // Create relevant options for the propagation options
     PropagatorOptions propagatorOptions(kfOptions.geoContext,
                                         kfOptions.magFieldContext);
 
     // Set the trivial propagator options
     propagatorOptions.setPlainOptions(kfOptions.propagatorPlainOptions);
 
     // Add the measurement surface as external surface to navigator.
     // We will try to hit those surface by ignoring boundary checks.
     for (const auto& [surfaceId, _] : inputMeasurements) {
       propagatorOptions.navigation.insertExternalSurface(surfaceId);
     }
 
     // Catch the actor and set the measurements
     auto& kalmanActor = propagatorOptions.actorList.template get<KalmanActor>();
     kalmanActor.inputMeasurements = &inputMeasurements;
     kalmanActor.targetReached.surface = kfOptions.referenceSurface;
     kalmanActor.targetSurfaceStrategy = kfOptions.referenceSurfaceStrategy;
     kalmanActor.multipleScattering = kfOptions.multipleScattering;
     kalmanActor.energyLoss = kfOptions.energyLoss;
     kalmanActor.reversedFiltering = kfOptions.reversedFiltering;
     kalmanActor.reversedFilteringCovarianceScaling =
         kfOptions.reversedFilteringCovarianceScaling;
     kalmanActor.freeToBoundCorrection = kfOptions.freeToBoundCorrection;
     kalmanActor.calibrationContext = &kfOptions.calibrationContext.get();
     kalmanActor.extensions = kfOptions.extensions;
     kalmanActor.actorLogger = m_actorLogger.get();
 
     return fit_impl<start_parameters_t, PropagatorOptions, KalmanResult,
                     track_container_t>(sParameters, propagatorOptions,
                                        trackContainer);
   }
 
   /// Fit implementation of the forward filter, calls the
   /// the filter and smoother/reversed filter
   ///
   /// @tparam source_link_iterator_t Iterator type used to pass source links
   /// @tparam start_parameters_t Type of the initial parameters
   /// @tparam parameters_t Type of parameters used for local parameters
   /// @tparam track_container_t Type of the track container
   ///
   /// @param it Begin iterator for the fittable uncalibrated measurements
   /// @param end End iterator for the fittable uncalibrated measurements
   /// @param sParameters The initial track parameters
   /// @param kfOptions KalmanOptions steering the fit
   /// @param sSequence surface sequence used to initialize a DirectNavigator
   /// @param trackContainer Input track container storage to append into
   /// @note The input measurements are given in the form of @c SourceLinks.
   /// It's
   /// @c calibrator_t's job to turn them into calibrated measurements used in
   /// the fit.
   ///
   /// @return the output as an output track
   template <typename source_link_iterator_t, typename start_parameters_t,
             typename parameters_t = BoundTrackParameters,
             TrackContainerFrontend track_container_t>
   Result<typename track_container_t::TrackProxy> fit(
       source_link_iterator_t it, source_link_iterator_t end,
       const start_parameters_t& sParameters,
       const KalmanFitterOptions<traj_t>& kfOptions,
       const std::vector<const Surface*>& sSequence,
       track_container_t& trackContainer) const
     requires(isDirectNavigator)
   {
     // To be able to find measurements later, we put them into a map
     // We need to copy input SourceLinks anyway, so the map can own them.
     ACTS_VERBOSE("Preparing " << std::distance(it, end)
                               << " input measurements");
     std::map<GeometryIdentifier, SourceLink> inputMeasurements;
     for (; it != end; ++it) {
       SourceLink sl = *it;
       const Surface* surface = kfOptions.extensions.surfaceAccessor(sl);
       // @TODO: This can probably change over to surface pointers as keys
       auto geoId = surface->geometryId();
       inputMeasurements.emplace(geoId, std::move(sl));
     }
 
     // Create the ActorList
     using KalmanActor = Actor<parameters_t>;
 
     using KalmanResult = typename KalmanActor::result_type;
     using Actors = ActorList<KalmanActor>;
     using PropagatorOptions = typename propagator_t::template Options<Actors>;
 
     // Create relevant options for the propagation options
     PropagatorOptions propagatorOptions(kfOptions.geoContext,
                                         kfOptions.magFieldContext);
 
     // Set the trivial propagator options
     propagatorOptions.setPlainOptions(kfOptions.propagatorPlainOptions);
 
     // Catch the actor and set the measurements
     auto& kalmanActor = propagatorOptions.actorList.template get<KalmanActor>();
     kalmanActor.inputMeasurements = &inputMeasurements;
     kalmanActor.targetReached.surface = kfOptions.referenceSurface;
     kalmanActor.targetSurfaceStrategy = kfOptions.referenceSurfaceStrategy;
     kalmanActor.multipleScattering = kfOptions.multipleScattering;
     kalmanActor.energyLoss = kfOptions.energyLoss;
     kalmanActor.reversedFiltering = kfOptions.reversedFiltering;
     kalmanActor.reversedFilteringCovarianceScaling =
         kfOptions.reversedFilteringCovarianceScaling;
     kalmanActor.freeToBoundCorrection = kfOptions.freeToBoundCorrection;
     kalmanActor.calibrationContext = &kfOptions.calibrationContext.get();
     kalmanActor.extensions = kfOptions.extensions;
     kalmanActor.actorLogger = m_actorLogger.get();
 
     // Set the surface sequence
     propagatorOptions.navigation.surfaces = sSequence;
 
     return fit_impl<start_parameters_t, PropagatorOptions, KalmanResult,
                     track_container_t>(sParameters, propagatorOptions,
                                        trackContainer);
   }
 
  private:
   /// Common fit implementation
   ///
   /// @tparam start_parameters_t Type of the initial parameters
   /// @tparam actor_list_t Type of the actor list
   /// @tparam aborter_list_t Type of the abort list
   /// @tparam kalman_result_t Type of the KF result
   /// @tparam track_container_t Type of the track container
   ///
   /// @param sParameters The initial track parameters
   /// @param propagatorOptions The Propagator Options
   /// @param trackContainer Input track container storage to append into
   ///
   /// @return the output as an output track
   template <typename start_parameters_t, typename propagator_options_t,
             typename kalman_result_t, TrackContainerFrontend track_container_t>
   auto fit_impl(const start_parameters_t& sParameters,
                 const propagator_options_t& propagatorOptions,
                 track_container_t& trackContainer) const
       -> Result<typename track_container_t::TrackProxy> {
     auto propagatorState = m_propagator.makeState(propagatorOptions);
 
     auto propagatorInitResult =
         m_propagator.initialize(propagatorState, sParameters);
     if (!propagatorInitResult.ok()) {
       ACTS_ERROR("Propagation initialization failed: "
                  << propagatorInitResult.error());
       return propagatorInitResult.error();
     }
 
     auto& kalmanResult =
         propagatorState.template get<KalmanFitterResult<traj_t>>();
     kalmanResult.fittedStates = &trackContainer.trackStateContainer();
 
     // Run the fitter
     auto result = m_propagator.propagate(propagatorState);
 
     if (!result.ok()) {
       ACTS_ERROR("Propagation failed: " << result.error());
       return result.error();
     }
 
     /// It could happen that the fit ends in zero measurement states.
     /// The result gets meaningless so such case is regarded as fit failure.
     if (kalmanResult.result.ok() && !kalmanResult.measurementStates) {
       kalmanResult.result = Result<void>(KalmanFitterError::NoMeasurementFound);
     }
 
     if (!kalmanResult.result.ok()) {
       ACTS_ERROR("KalmanFilter failed: "
                  << kalmanResult.result.error() << ", "
                  << kalmanResult.result.error().message());
       return kalmanResult.result.error();
     }
 
     auto track = trackContainer.makeTrack();
     track.tipIndex() = kalmanResult.lastMeasurementIndex;
     if (kalmanResult.fittedParameters) {
       const auto& params = kalmanResult.fittedParameters.value();
       track.parameters() = params.parameters();
       track.covariance() = params.covariance().value();
       track.setReferenceSurface(params.referenceSurface().getSharedPtr());
     }
 
     calculateTrackQuantities(track);
 
     if (trackContainer.hasColumn(hashString("smoothed"))) {
       track.template component<bool, hashString("smoothed")>() =
           kalmanResult.smoothed;
     }
 
     if (trackContainer.hasColumn(hashString("reversed"))) {
       track.template component<bool, hashString("reversed")>() =
           kalmanResult.reversed;
     }
 
     // Return the converted Track
     return track;
   }
 };
 
 }  // namespace Acts

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