| ApproximateBetheBloch(DataT bg2) | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | static |
| ApproximateBetheBloch(DataT bg2, DataT kp0, DataT kp1, DataT kp2, DataT kp3, DataT kp4) | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | static |
| CleanNonActiveCovariances() | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | inlineprivate |
| cnst typedef | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | private |
| DataTmask typedef | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | |
| DataTscal typedef | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | |
| EnergyLossCorrection(DataT radThick, FitDirection direction) | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | |
| EnergyLossCorrection(int atomicZ, DataTscal atomicA, DataTscal rho, DataTscal radLen, DataT radThick, FitDirection direction) | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | |
| Extrapolate(DataT z, const kf::FieldRegion< DataT > &F) | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | inline |
| ExtrapolateInOneStep(DataT z, const kf::FieldRegion< DataT > &Field) | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | |
| ExtrapolateLineDxy(DataT z_out) const | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | inline |
| ExtrapolateLineInField(DataT z_out, const kf::FieldRegion< DataT > &F) | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | |
| ExtrapolateLineXdX2(DataT z_out) const | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | inline |
| ExtrapolateLineYdY2(DataT z_out) const | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | inline |
| ExtrapolateNoField(DataT z) | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | |
| Filter1d(const kf::MeasurementU< DataT > &m) | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | |
| FilterExtrapolatedXY(const kf::MeasurementXy< DataT > &m, const std::array< DataT, 5 > &Jx, const std::array< DataT, 5 > &Jy) | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | |
| FilterExtrapolatedY(const kf::MeasurementXy< DataT > &m, const std::array< DataT, 5 > &Jy) | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | |
| FilterExtrapolatedY(const kf::MeasurementXy< DataT > &mL, const std::array< DataT, 5 > &jL, const kf::MeasurementXy< DataT > &mM, DataT msM, const kf::MeasurementXy< DataT > &mR, const std::array< DataT, 5 > &jR) | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | |
| FilterExtrapolatedYChi2(const kf::MeasurementXy< DataT > &mL, const std::array< DataT, 5 > &jL, const kf::MeasurementXy< DataT > &mM, DataT msM, const kf::MeasurementXy< DataT > &mR, const std::array< DataT, 5 > &jR) | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | |
| FilterTime(DataT t, DataT dt2, const DataTmask &m) | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | |
| FilterTime(kf::MeasurementTime< DataT > mt) | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | inline |
| FilterVi(DataT vi) | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | |
| FilterXY(const kf::MeasurementXy< DataT > &m, bool skipUnmeasuredCoordinates=false) | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | |
| fLinearisation | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | private |
| fMask | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | private |
| fMass | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | private |
| fMass2 | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | private |
| fMaxExtrapolationStep | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | private |
| fTr | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | private |
| GetChi2XChi2U(kf::MeasurementXy< DataT > m, DataT x, DataT y, DataT C00, DataT C10, DataT C11) | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | static |
| GetMaxExtrapolationStep() const | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | inline |
| GetMeasurementModelAtZline(DataT zm, const kf::FieldRegion< DataT > &Field, std::array< DataT, 5 > &Jx, std::array< DataT, 5 > &Jy) const | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | |
| GetParticleMass() const | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | inline |
| GetParticleMass2() const | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | inline |
| GuessTrack(const DataT &trackZ, const DataT hitX[], const DataT hitY[], const DataT hitZ[], const DataT hitT[], const DataT By[], const DataTmask hitW[], const DataTmask hitWtime[], int NHits) | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | |
| kNactiveParams | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | static |
| Linearization() | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | inline |
| Linearization_t typedef | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | |
| MeasureVelocityWithQp() | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | |
| MultipleScattering(DataT radThick, DataT tx0, DataT ty0, DataT qp0) | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | |
| MultipleScattering(DataT radThick) | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | inline |
| MultipleScatteringInThickMaterial(DataT radThick, DataT thickness, bool fDownstream) | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | |
| SetLinearization(const Linearization_t &lin) | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | inline |
| SetMask(const DataTmask &m) | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | inline |
| SetMaxExtrapolationStep(double step) | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | inline |
| SetOneEntry(const int i0, const TrackKalmanFilter &T1, const int i1) | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | inline |
| SetParticleMass(DataT mass) | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | inline |
| SetTrack(const kf::TrackParam< T > &t) | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | inline |
| SetTrack(DataT z, const LinearizationFull< DataT > &lin) | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | inline |
| ToString(int i=-1) | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | inline |
| Tr() | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | inline |
| TrackKalmanFilter()=default | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | |
| TrackKalmanFilter(const kf::TrackParam< DataT > &t) | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | inline |
| TrackKalmanFilter(const kf::TrackParam< T > &t) | cbm::algo::kf::TrackKalmanFilter< DataT, Settings > | inline |
1.13.2