#include <KfTrackKalmanFilter.h>

Inheritance diagram for cbm::algo::kf::TrackKalmanFilter< DataT, Settings >:

Collaboration diagram for cbm::algo::kf::TrackKalmanFilter< DataT, Settings >:

Public Types
using	Linearization_t = typename Settings::template LinearizationT<DataT>

using	DataTscal = kf::utils::scaltype<DataT>

using	DataTmask = kf::utils::masktype<DataT>

Public Member Functions
	TrackKalmanFilter ()=default

	TrackKalmanFilter (const kf::TrackParam< DataT > &t)

template<typename T>
	TrackKalmanFilter (const kf::TrackParam< T > &t)

void	SetMask (const DataTmask &m)

template<typename T>
void	SetTrack (const kf::TrackParam< T > &t)

void	SetTrack (DataT z, const LinearizationFull< DataT > &lin)

void	SetLinearization (const Linearization_t &lin)

kf::TrackParam< DataT > &	Tr ()

Linearization_t &	Linearization ()

void	SetOneEntry (const int i0, const TrackKalmanFilter &T1, const int i1)

std::string	ToString (int i=-1)

void	SetParticleMass (DataT mass)
	set particle mass for the fit

DataT	GetParticleMass () const
	get the particle mass

DataT	GetParticleMass2 () const
	get the particle mass squared

void	SetMaxExtrapolationStep (double step)
	set max extrapolation step [cm]

DataT	GetMaxExtrapolationStep () const
	get the particle mass

void	Filter1d (const kf::MeasurementU< DataT > &m)
	filter the track with the 1d measurement

void	FilterXY (const kf::MeasurementXy< DataT > &m, bool skipUnmeasuredCoordinates=false)
	filter the track with the XY measurement

void	FilterTime (DataT t, DataT dt2, const DataTmask &m)
	filter the track with the time measurement

void	FilterTime (kf::MeasurementTime< DataT > mt)
	filter the track with the time measurement

void	FilterVi (DataT vi)
	filter the inverse speed

void	MeasureVelocityWithQp ()
	measure the track velocity with the track Qp and the mass

void	Extrapolate (DataT z, const kf::FieldRegion< DataT > &F)

void	ExtrapolateInOneStep (DataT z, const kf::FieldRegion< DataT > &Field)

void	ExtrapolateNoField (DataT z)
	extrapolate the track to the given Z assuming no magnetic field

void	ExtrapolateLineInField (DataT z_out, const kf::FieldRegion< DataT > &F)
	extrapolate the track to the given Z using linearization at the straight line

void	EnergyLossCorrection (DataT radThick, FitDirection direction)

void	EnergyLossCorrection (int atomicZ, DataTscal atomicA, DataTscal rho, DataTscal radLen, DataT radThick, FitDirection direction)

void	MultipleScattering (DataT radThick, DataT tx0, DataT ty0, DataT qp0)
	apply multiple scattering correction to the track with the given Qp0

void	MultipleScattering (DataT radThick)
	apply multiple scattering correction to the track

void	MultipleScatteringInThickMaterial (DataT radThick, DataT thickness, bool fDownstream)
	apply multiple scattering correction in thick material to the track

void	GetMeasurementModelAtZline (DataT zm, const kf::FieldRegion< DataT > &Field, std::array< DataT, 5 > &Jx, std::array< DataT, 5 > &Jy) const
	extrapolate track as a line, return the extrapolated X, Y and the Jacobians

void	FilterExtrapolatedXY (const kf::MeasurementXy< DataT > &m, const std::array< DataT, 5 > &Jx, const std::array< DataT, 5 > &Jy)

void	FilterExtrapolatedY (const kf::MeasurementXy< DataT > &m, const std::array< DataT, 5 > &Jy)

void	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)

void	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)

std::pair< DataT, DataT >	ExtrapolateLineXdX2 (DataT z_out) const

std::pair< DataT, DataT >	ExtrapolateLineYdY2 (DataT z_out) const

DataT	ExtrapolateLineDxy (DataT z_out) const

void	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)
	fast guess of track parameterts based on its hits

Static Public Member Functions
static DataT	ApproximateBetheBloch (DataT bg2)
	Approximate mean energy loss with Bethe-Bloch formula.

static DataT	ApproximateBetheBloch (DataT bg2, DataT kp0, DataT kp1, DataT kp2, DataT kp3, DataT kp4)
	Approximate mean energy loss with Bethe-Bloch formula.

static std::tuple< DataT, DataT >	GetChi2XChi2U (kf::MeasurementXy< DataT > m, DataT x, DataT y, DataT C00, DataT C10, DataT C11)
	git two chi^2 components of the track fit to measurement

Static Public Attributes
static constexpr int	kNactiveParams = 5 + (Settings::kDoFitTime ? 2 : 0)

Private Types
typedef const DataT	cnst

Private Member Functions
void	CleanNonActiveCovariances ()

Private Attributes
DataTmask	fMask {true}
	mask of active elements in simd vectors

kf::TrackParam< DataT >	fTr {}
	track parameters

Linearization_t	fLinearisation {}
	linearization parameters

DataT	fMass {0.10565800}
	particle mass (muon mass by default)

DataT	fMass2 {fMass * fMass}
	mass squared

DataT	fMaxExtrapolationStep {50.}
	max extrapolation step [cm]

Detailed Description

template<typename DataT, class Settings = FilterSettings<>>
class cbm::algo::kf::TrackKalmanFilter< DataT, Settings >

Track fit utilities for the CA tracking based on the Kalman Filter

Definition at line 79 of file KfTrackKalmanFilter.h.

Member Typedef Documentation

◆ cnst

template<typename DataT, class Settings = FilterSettings<>>

typedef const DataT cbm::algo::kf::TrackKalmanFilter< DataT, Settings >::cnst

private

Definition at line 302 of file KfTrackKalmanFilter.h.

◆ DataTmask

template<typename DataT, class Settings = FilterSettings<>>

using cbm::algo::kf::TrackKalmanFilter< DataT, Settings >::DataTmask = kf::utils::masktype<DataT>

Definition at line 84 of file KfTrackKalmanFilter.h.

◆ DataTscal

template<typename DataT, class Settings = FilterSettings<>>

using cbm::algo::kf::TrackKalmanFilter< DataT, Settings >::DataTscal = kf::utils::scaltype<DataT>

Definition at line 83 of file KfTrackKalmanFilter.h.

◆ Linearization_t

template<typename DataT, class Settings = FilterSettings<>>

using cbm::algo::kf::TrackKalmanFilter< DataT, Settings >::Linearization_t = typename Settings::template LinearizationT<DataT>

Definition at line 82 of file KfTrackKalmanFilter.h.

Constructor & Destructor Documentation

◆ TrackKalmanFilter() [1/3]

template<typename DataT, class Settings = FilterSettings<>>

cbm::algo::kf::TrackKalmanFilter< DataT, Settings >::TrackKalmanFilter ( )

default

Referenced by SetOneEntry().

◆ TrackKalmanFilter() [2/3]

template<typename DataT, class Settings = FilterSettings<>>

cbm::algo::kf::TrackKalmanFilter< DataT, Settings >::TrackKalmanFilter ( const kf::TrackParam< DataT > & t )

inline

Definition at line 91 of file KfTrackKalmanFilter.h.

References SetTrack().

◆ TrackKalmanFilter() [3/3]

template<typename DataT, class Settings = FilterSettings<>>

template<typename T>

cbm::algo::kf::TrackKalmanFilter< DataT, Settings >::TrackKalmanFilter ( const kf::TrackParam< T > & t )

inline

Definition at line 94 of file KfTrackKalmanFilter.h.

References SetTrack().

Member Function Documentation

◆ ApproximateBetheBloch() [1/2]

template<typename DataT, class Settings>

DataT TrackKalmanFilter::ApproximateBetheBloch ( DataT bg2 )

static

Approximate mean energy loss with Bethe-Bloch formula.

Parameters

bg2	(beta*gamma)^2

Returns: mean energy loss

Definition at line 1341 of file KfTrackKalmanFilter.cxx.

References cbm::algo::kf::utils::iif(), log(), sqrt(), and x.

Referenced by EnergyLossCorrection(), and EnergyLossCorrection().

◆ ApproximateBetheBloch() [2/2]

template<typename DataT, class Settings>

DataT TrackKalmanFilter::ApproximateBetheBloch	(	DataT	bg2,
		DataT	kp0,
		DataT	kp1,
		DataT	kp2,
		DataT	kp3,
		DataT	kp4 )

static

Approximate mean energy loss with Bethe-Bloch formula.

Parameters

bg2	(beta*gamma)^2
kp0	density [g/cm^3]
kp1	density effect first junction point
kp2	density effect second junction point
kp3	mean excitation energy [GeV]
kp4	mean Z/A

Returns: mean energy loss

Definition at line 1388 of file KfTrackKalmanFilter.cxx.

References cbm::algo::kf::utils::iif(), log(), sqrt(), and x.

◆ CleanNonActiveCovariances()

template<typename DataT, class Settings>

void cbm::algo::kf::TrackKalmanFilter< DataT, Settings >::CleanNonActiveCovariances ( )

inlineprivate

Definition at line 379 of file KfTrackKalmanFilter.h.

References fTr.

Referenced by ExtrapolateInOneStep(), and Filter1d().

◆ EnergyLossCorrection() [1/2]

template<typename DataT, class Settings>

void TrackKalmanFilter::EnergyLossCorrection	(	DataT	radThick,
		FitDirection	direction )

apply energy loss correction to the track

Parameters

radThick	- radiation length of the material
direction	- direction of the track

Definition at line 1235 of file KfTrackKalmanFilter.cxx.

References ApproximateBetheBloch(), fLinearisation, fMask, fMass2, fTr, cbm::algo::kf::utils::iif(), cbm::algo::kf::kDownstream, cbm::algo::kf::utils::max(), and sqrt().

Referenced by cbm::algo::ca::TrackExtender::FindMoreHits(), cbm::algo::ca::TripletConstructor::FindTriplets(), CbmL1PFFitter::Fit(), cbm::algo::ca::TrackExtender::FitBranchFast(), cbm::algo::ca::TrackFitter::FitCaTracks(), CbmL1PFFitter::GetChiToVertex(), and CbmL1::TrackFitPerformance().

◆ EnergyLossCorrection() [2/2]

template<typename DataT, class Settings>

void TrackKalmanFilter::EnergyLossCorrection	(	int	atomicZ,
		DataTscal	atomicA,
		DataTscal	rho,
		DataTscal	radLen,
		DataT	radThick,
		FitDirection	direction )

apply energy loss correction to the track more accurate formula using material atomic numbers

Parameters

atomicZ	- atomic number of the material
atomicA	- atomic mass of the material
rho	- density of the material
radLen	- radiation length of the material
radThick	- radiation length of the material
direction	- direction of the track

Definition at line 1269 of file KfTrackKalmanFilter.cxx.

References A, ApproximateBetheBloch(), cbm::algo::kf::utils::fabs(), fLinearisation, fMask, fMass, fMass2, fTr, cbm::algo::kf::utils::iif(), cbm::algo::kf::kDownstream, cbm::algo::kf::utils::max(), and sqrt().

◆ Extrapolate()

template<typename DataT, class Settings>

void cbm::algo::kf::TrackKalmanFilter< DataT, Settings >::Extrapolate	(	DataT	z,
		const kf::FieldRegion< DataT > &	F )

inline

extrapolate the track to the given Z using the field F it can do several extrapolation steps if the Z is far away

Parameters

z	- Z coordinate to extrapolate to
F	- field region

Definition at line 358 of file KfTrackKalmanFilter.h.

References ExtrapolateInOneStep(), ExtrapolateNoField(), F, fMask, fMaxExtrapolationStep, fTr, cbm::algo::kf::utils::iif(), cbm::algo::kf::utils::isFull(), cbm::algo::kf::Null, and cbm::algo::kf::sgn().

Referenced by cbm::kf::CreateKfParticle(), cbm::algo::ca::CloneMerger::Exec(), ExtrapolateLineInField(), CbmL1::FillFitHistos(), cbm::algo::ca::TrackExtender::FindMoreHits(), cbm::algo::ca::TripletConstructor::FindTripletHits(), cbm::algo::ca::TripletConstructor::FindTriplets(), CbmL1PFFitter::Fit(), cbm::algo::ca::TrackExtender::FitBranchFast(), cbm::algo::ca::TrackFitter::FitCaTracks(), cbm::algo::kf::VertexFitter< FlagFitTime >::FitVertex(), CbmL1PFFitter::GetChiToVertex(), and CbmL1::TrackFitPerformance().

◆ ExtrapolateInOneStep()

template<typename DataT, class Settings>

void TrackKalmanFilter::ExtrapolateInOneStep	(	DataT	z,
		const kf::FieldRegion< DataT > &	Field )

extrapolate the track to the given Z using the field F it does extrapolation in one step

Definition at line 772 of file KfTrackKalmanFilter.cxx.

References CleanNonActiveCovariances(), F, fLinearisation, fMask, fTr, cbm::algo::kf::utils::iif(), kNactiveParams, cbm::algo::kf::N, cbm::algo::kf::defs::SpeedOfLight, and sqrt().

Referenced by Extrapolate().

◆ ExtrapolateLineDxy()

template<typename DataT, class Settings>

DataT cbm::algo::kf::TrackKalmanFilter< DataT, Settings >::ExtrapolateLineDxy ( DataT z_out ) const

inline

extrapolate the track to the given Z using linearization at the straight line,

Parameters

z_out - Z coordinate to extrapolate to

Returns: extrapolated correlation cov<x,y>

Definition at line 350 of file KfTrackKalmanFilter.h.

References fTr.

Referenced by cbm::algo::ca::TripletConstructor::CollectHits().

◆ ExtrapolateLineInField()

template<typename DataT, class Settings>

void TrackKalmanFilter::ExtrapolateLineInField	(	DataT	z_out,
		const kf::FieldRegion< DataT > &	F )

extrapolate the track to the given Z using linearization at the straight line

Definition at line 1144 of file KfTrackKalmanFilter.cxx.

References Extrapolate(), F, and fLinearisation.

Referenced by cbm::algo::ca::SearchWindowMapContainerFactory::Create(), and cbm::algo::ca::TripletConstructor::CreateTripletsForHit().

◆ ExtrapolateLineXdX2()

template<typename DataT, class Settings>

std::pair< DataT, DataT > cbm::algo::kf::TrackKalmanFilter< DataT, Settings >::ExtrapolateLineXdX2 ( DataT z_out ) const

inline

extrapolate the track to the given Z using linearization at the straight line,

Parameters

z_out - Z coordinate to extrapolate to

Returns: pair of the extrapolated X, and dX2 - the rms^2 of the extrapolated x

Definition at line 336 of file KfTrackKalmanFilter.h.

References fTr.

Referenced by cbm::algo::ca::TripletConstructor::CollectHits(), and cbm::algo::ca::TrackExtender::FindMoreHits().

◆ ExtrapolateLineYdY2()

template<typename DataT, class Settings>

std::pair< DataT, DataT > cbm::algo::kf::TrackKalmanFilter< DataT, Settings >::ExtrapolateLineYdY2 ( DataT z_out ) const

inline

extrapolate the track to the given Z using linearization at the straight line,

Parameters

z_out - Z coordinate to extrapolate to

Returns: pair of the extrapolated Y, and dY2 - the rms^2 of the extrapolated y

Definition at line 343 of file KfTrackKalmanFilter.h.

References fTr.

Referenced by cbm::algo::ca::TripletConstructor::CollectHits(), and cbm::algo::ca::TrackExtender::FindMoreHits().

◆ ExtrapolateNoField()

template<typename DataT, class Settings>

void TrackKalmanFilter::ExtrapolateNoField ( DataT z )

extrapolate the track to the given Z assuming no magnetic field

Definition at line 1020 of file KfTrackKalmanFilter.cxx.

References fLinearisation, fMask, fTr, cbm::algo::kf::utils::iif(), sqrt(), x, and y.

Referenced by Extrapolate(), and cbm::algo::ca::TripletConstructor::FindDoublets().

◆ Filter1d()

template<typename DataT, class Settings>

void TrackKalmanFilter::Filter1d ( const kf::MeasurementU< DataT > & m )

filter the track with the 1d measurement

Definition at line 15 of file KfTrackKalmanFilter.cxx.

References CleanNonActiveCovariances(), fMask, fTr, and cbm::algo::kf::utils::iif().

◆ FilterExtrapolatedXY()

template<typename DataT, class Settings>

void TrackKalmanFilter::FilterExtrapolatedXY	(	const kf::MeasurementXy< DataT > &	m,
		const std::array< DataT, 5 > &	Jx,
		const std::array< DataT, 5 > &	Jy )

filter the track with the XY measurement placed at different Z

Parameters

m	- measurement
Jx	- Jacobian of the extrapolated X
Jy	- Jacobian of the extrapolated Y

Definition at line 377 of file KfTrackKalmanFilter.cxx.

References fTr.

Referenced by cbm::algo::ca::TripletConstructor::CreateTripletsForHit(), and cbm::algo::ca::TripletConstructor::FindTriplets().

◆ FilterExtrapolatedY() [1/2]

template<typename DataT, class Settings>

void TrackKalmanFilter::FilterExtrapolatedY	(	const kf::MeasurementXy< DataT > &	m,
		const std::array< DataT, 5 > &	Jy )

Definition at line 467 of file KfTrackKalmanFilter.cxx.

References fTr.

◆ FilterExtrapolatedY() [2/2]

template<typename DataT, class Settings>

void TrackKalmanFilter::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 )

Definition at line 497 of file KfTrackKalmanFilter.cxx.

References cbm::algo::kf::MeasurementXy< DataT >::Dy2(), fTr, and cbm::algo::kf::MeasurementXy< DataT >::Y().

◆ FilterExtrapolatedYChi2()

template<typename DataT, class Settings>

void TrackKalmanFilter::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 )

Definition at line 549 of file KfTrackKalmanFilter.cxx.

References cbm::algo::kf::MeasurementXy< DataT >::Dy2(), fTr, and cbm::algo::kf::MeasurementXy< DataT >::Y().

◆ FilterTime() [1/2]

template<typename DataT, class Settings>

void TrackKalmanFilter::FilterTime	(	DataT	t,
		DataT	dt2,
		const DataTmask &	m )

filter the track with the time measurement

Definition at line 108 of file KfTrackKalmanFilter.cxx.

References fMask, fTr, and cbm::algo::kf::utils::iif().

Referenced by cbm::algo::ca::utils::FilterHit(), cbm::algo::ca::TripletConstructor::FindDoublets(), cbm::algo::ca::TripletConstructor::FindTriplets(), CbmL1PFFitter::Fit(), and cbm::algo::ca::TrackFitter::FitCaTracks().

◆ FilterTime() [2/2]

template<typename DataT, class Settings = FilterSettings<>>

void cbm::algo::kf::TrackKalmanFilter< DataT, Settings >::FilterTime ( kf::MeasurementTime< DataT > mt )

inline

filter the track with the time measurement

Definition at line 165 of file KfTrackKalmanFilter.h.

References cbm::algo::kf::MeasurementTime< DataT >::Dt2(), FilterTime(), cbm::algo::kf::MeasurementTime< DataT >::NdfT(), and cbm::algo::kf::MeasurementTime< DataT >::T().

Referenced by FilterTime().

◆ FilterVi()

template<typename DataT, class Settings>

void TrackKalmanFilter::FilterVi ( DataT vi )

filter the inverse speed

Definition at line 682 of file KfTrackKalmanFilter.cxx.

References fMask, fTr, and cbm::algo::kf::utils::iif().

◆ FilterXY()

template<typename DataT, class Settings>

void TrackKalmanFilter::FilterXY	(	const kf::MeasurementXy< DataT > &	m,
		bool	skipUnmeasuredCoordinates = false )

filter the track with the XY measurement

Definition at line 196 of file KfTrackKalmanFilter.cxx.

References cbm::algo::kf::MeasurementU< DataT >::SetCosPhi(), cbm::algo::kf::MeasurementU< DataT >::SetSinPhi(), cbm::algo::kf::MeasurementU< DataT >::SetU(), and cbm::algo::kf::MeasurementXy< DataT >::X().

Referenced by cbm::algo::ca::SearchWindowMapContainerFactory::Create(), cbm::algo::ca::utils::FilterHit(), cbm::algo::ca::TripletConstructor::FindDoublets(), cbm::algo::ca::TripletConstructor::FindTriplets(), CbmL1PFFitter::Fit(), and cbm::algo::ca::TrackFitter::FitCaTracks().

◆ GetChi2XChi2U()

template<typename DataT, class Settings>

std::tuple< DataT, DataT > TrackKalmanFilter::GetChi2XChi2U	(	kf::MeasurementXy< DataT >	m,
		DataT	x,
		DataT	y,
		DataT	C00,
		DataT	C10,
		DataT	C11 )

static

git two chi^2 components of the track fit to measurement

Parameters

m	- measurement
x	- track X
y	- track Y
C00	- track covariance C00
C10	- track covariance C10
C11	- track covariance C11

Returns: pair of (chi^2_x, chi^2_u) components of the chi^2. chi^2_u is calculated after track is fit to the X measurement

Definition at line 1437 of file KfTrackKalmanFilter.cxx.

References x, and y.

Referenced by cbm::algo::ca::TripletConstructor::CollectHits().

◆ GetMaxExtrapolationStep()

template<typename DataT, class Settings = FilterSettings<>>

DataT cbm::algo::kf::TrackKalmanFilter< DataT, Settings >::GetMaxExtrapolationStep ( ) const

inline

get the particle mass

Definition at line 153 of file KfTrackKalmanFilter.h.

References fMaxExtrapolationStep.

◆ GetMeasurementModelAtZline()

template<typename DataT, class Settings>

void TrackKalmanFilter::GetMeasurementModelAtZline	(	DataT	zm,
		const kf::FieldRegion< DataT > &	Field,
		std::array< DataT, 5 > &	Jx,
		std::array< DataT, 5 > &	Jy ) const

extrapolate track as a line, return the extrapolated X, Y and the Jacobians

special utilities needed by the combinatorial track finder

Definition at line 338 of file KfTrackKalmanFilter.cxx.

References fTr, cbm::algo::kf::defs::SpeedOfLight, sqrt(), x, and y.

Referenced by cbm::algo::ca::TripletConstructor::CreateTripletsForHit(), and cbm::algo::ca::TripletConstructor::FindTriplets().

◆ GetParticleMass()

template<typename DataT, class Settings = FilterSettings<>>

DataT cbm::algo::kf::TrackKalmanFilter< DataT, Settings >::GetParticleMass ( ) const

inline

get the particle mass

Definition at line 144 of file KfTrackKalmanFilter.h.

References fMass.

◆ GetParticleMass2()

template<typename DataT, class Settings = FilterSettings<>>

DataT cbm::algo::kf::TrackKalmanFilter< DataT, Settings >::GetParticleMass2 ( ) const

inline

get the particle mass squared

Definition at line 147 of file KfTrackKalmanFilter.h.

References fMass2.

◆ GuessTrack()

template<typename DataT, class Settings>

void TrackKalmanFilter::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 )

fast guess of track parameterts based on its hits

Parameters

trackZ	- Z coordinate of the track
hitX	- X coordinate of the hits
hitY	- Y coordinate of the hits
hitZ	- Z coordinate of the hits
hitT	- Time coordinate of the hits
By	- y component of the magnetic field
hitW	- hit weight
hitWtime	- hit weight for the time measurement
NHits	- number of hits

Definition at line 1489 of file KfTrackKalmanFilter.cxx.

References cbm::algo::kf::utils::fabs(), fLinearisation, fTr, cbm::algo::kf::utils::iif(), cbm::algo::kf::defs::SpeedOfLightInv, sqrt(), x, and y.

Referenced by cbm::algo::ca::TrackFitter::FitCaTracks().

◆ Linearization()

template<typename DataT, class Settings = FilterSettings<>>

Linearization_t & cbm::algo::kf::TrackKalmanFilter< DataT, Settings >::Linearization ( )

inline

Definition at line 127 of file KfTrackKalmanFilter.h.

References fLinearisation.

Referenced by cbm::algo::ca::SearchWindowMapContainerFactory::Create(), cbm::algo::ca::TripletConstructor::CreateTripletsForHit(), cbm::algo::ca::CloneMerger::Exec(), cbm::algo::ca::TripletConstructor::FindDoublets(), cbm::algo::ca::TrackExtender::FindMoreHits(), cbm::algo::ca::TripletConstructor::FindTripletHits(), CbmL1PFFitter::Fit(), cbm::algo::ca::TrackExtender::FitBranchFast(), cbm::algo::ca::TrackFitter::FitCaTracks(), cbm::algo::kf::VertexFitter< FlagFitTime >::FitVertex(), and CbmL1PFFitter::GetChiToVertex().

◆ MeasureVelocityWithQp()

template<typename DataT, class Settings>

void TrackKalmanFilter::MeasureVelocityWithQp ( )

measure the track velocity with the track Qp and the mass

Definition at line 586 of file KfTrackKalmanFilter.cxx.

References fLinearisation, fMask, fMass2, fTr, cbm::algo::kf::utils::iif(), cbm::algo::kf::defs::SpeedOfLightInv, and sqrt().

◆ MultipleScattering() [1/2]

template<typename DataT, class Settings = FilterSettings<>>

void cbm::algo::kf::TrackKalmanFilter< DataT, Settings >::MultipleScattering ( DataT radThick )

inline

apply multiple scattering correction to the track

Definition at line 211 of file KfTrackKalmanFilter.h.

References fLinearisation, fTr, and MultipleScattering().

◆ MultipleScattering() [2/2]

template<typename DataT, class Settings>

void TrackKalmanFilter::MultipleScattering	(	DataT	radThick,
		DataT	tx0,
		DataT	ty0,
		DataT	qp0 )

apply multiple scattering correction to the track with the given Qp0

Definition at line 1157 of file KfTrackKalmanFilter.cxx.

References fMask, fMass2, fTr, cbm::algo::kf::utils::iif(), log(), and sqrt().

Referenced by cbm::algo::ca::SearchWindowMapContainerFactory::Create(), cbm::algo::ca::TripletConstructor::CreateTripletsForHit(), cbm::algo::ca::TripletConstructor::FindDoublets(), cbm::algo::ca::TrackExtender::FindMoreHits(), cbm::algo::ca::TripletConstructor::FindTriplets(), CbmL1PFFitter::Fit(), cbm::algo::ca::TrackExtender::FitBranchFast(), cbm::algo::ca::TrackFitter::FitCaTracks(), CbmL1PFFitter::GetChiToVertex(), MultipleScattering(), and CbmL1::TrackFitPerformance().

◆ MultipleScatteringInThickMaterial()

template<typename DataT, class Settings>

void TrackKalmanFilter::MultipleScatteringInThickMaterial	(	DataT	radThick,
		DataT	thickness,
		bool	fDownstream )

apply multiple scattering correction in thick material to the track

Definition at line 1193 of file KfTrackKalmanFilter.cxx.

References D, fLinearisation, fMask, fMass2, fTr, cbm::algo::kf::utils::iif(), log(), and sqrt().

◆ SetLinearization()

template<typename DataT, class Settings = FilterSettings<>>

void cbm::algo::kf::TrackKalmanFilter< DataT, Settings >::SetLinearization ( const Linearization_t & lin )

inline

Definition at line 123 of file KfTrackKalmanFilter.h.

References fLinearisation.

Referenced by cbm::algo::ca::TripletConstructor::FindTriplets(), and cbm::algo::kf::VertexFitter< FlagFitTime >::FitVertex().

◆ SetMask()

template<typename DataT, class Settings = FilterSettings<>>

void cbm::algo::kf::TrackKalmanFilter< DataT, Settings >::SetMask ( const DataTmask & m )

inline

Definition at line 99 of file KfTrackKalmanFilter.h.

References fMask.

Referenced by cbm::algo::ca::CloneMerger::Exec(), CbmL1::FillFitHistos(), cbm::algo::ca::TrackExtender::FindMoreHits(), CbmL1PFFitter::Fit(), cbm::algo::ca::TrackExtender::FitBranchFast(), cbm::algo::ca::TrackFitter::FitCaTracks(), CbmL1PFFitter::GetChiToVertex(), and CbmL1::TrackFitPerformance().

◆ SetMaxExtrapolationStep()

template<typename DataT, class Settings = FilterSettings<>>

void cbm::algo::kf::TrackKalmanFilter< DataT, Settings >::SetMaxExtrapolationStep ( double step )

inline

set max extrapolation step [cm]

Definition at line 150 of file KfTrackKalmanFilter.h.

References fMaxExtrapolationStep.

Referenced by cbm::algo::ca::SearchWindowMapContainerFactory::Create(), cbm::algo::ca::TrackFitter::FitCaTracks(), and cbm::algo::kf::VertexFitter< FlagFitTime >::FitVertex().

◆ SetOneEntry()

template<typename DataT, class Settings>

void cbm::algo::kf::TrackKalmanFilter< DataT, Settings >::SetOneEntry	(	const int	i0,
		const TrackKalmanFilter< DataT, Settings > &	T1,
		const int	i1 )

inline

Definition at line 329 of file KfTrackKalmanFilter.h.

References cbm::algo::kf::utils::VecCopy< TdataA, TdataB, TDoAllA, TDoAllB >::CopyEntries(), fLinearisation, fTr, and TrackKalmanFilter().

◆ SetParticleMass()

template<typename DataT, class Settings = FilterSettings<>>

void cbm::algo::kf::TrackKalmanFilter< DataT, Settings >::SetParticleMass ( DataT mass )

inline

set particle mass for the fit

Fit utilities

Definition at line 137 of file KfTrackKalmanFilter.h.

References fMass, and fMass2.

Referenced by cbm::algo::ca::SearchWindowMapContainerFactory::Create(), cbm::kf::CreateKfParticle(), cbm::algo::ca::TripletConstructor::CreateTripletsForHit(), cbm::algo::ca::CloneMerger::Exec(), CbmL1::FillFitHistos(), cbm::algo::ca::TrackExtender::FindMoreHits(), cbm::algo::ca::TripletConstructor::FindTripletHits(), cbm::algo::ca::TripletConstructor::FindTriplets(), CbmL1PFFitter::Fit(), cbm::algo::ca::TrackExtender::FitBranchFast(), cbm::algo::ca::TrackFitter::FitCaTracks(), and CbmL1::TrackFitPerformance().

◆ SetTrack() [1/2]

template<typename DataT, class Settings = FilterSettings<>>

template<typename T>

void cbm::algo::kf::TrackKalmanFilter< DataT, Settings >::SetTrack ( const kf::TrackParam< T > & t )

inline

Definition at line 102 of file KfTrackKalmanFilter.h.

References fLinearisation, and fTr.

Referenced by cbm::kf::CreateKfParticle(), CbmL1::FillFitHistos(), cbm::algo::ca::TrackExtender::FindMoreHits(), cbm::algo::ca::TripletConstructor::FindTripletHits(), cbm::algo::ca::TrackExtender::FitBranchFast(), cbm::algo::kf::VertexFitter< FlagFitTime >::FitVertex(), CbmL1::TrackFitPerformance(), TrackKalmanFilter(), and TrackKalmanFilter().

◆ SetTrack() [2/2]

template<typename DataT, class Settings = FilterSettings<>>

void cbm::algo::kf::TrackKalmanFilter< DataT, Settings >::SetTrack	(	DataT	z,
		const LinearizationFull< DataT > &	lin )

inline

Definition at line 108 of file KfTrackKalmanFilter.h.

References fLinearisation, fTr, cbm::algo::kf::LinearizationFull< T >::qp, cbm::algo::kf::LinearizationFull< T >::time, cbm::algo::kf::LinearizationFull< T >::tx, cbm::algo::kf::LinearizationFull< T >::ty, cbm::algo::kf::LinearizationFull< T >::vi, cbm::algo::kf::LinearizationFull< T >::x, and cbm::algo::kf::LinearizationFull< T >::y.

◆ ToString()

template<typename DataT, class Settings>

std::string cbm::algo::kf::TrackKalmanFilter< DataT, Settings >::ToString ( int i = -1 )

inline

Definition at line 322 of file KfTrackKalmanFilter.h.

References fTr.

◆ Tr()

template<typename DataT, class Settings = FilterSettings<>>

kf::TrackParam< DataT > & cbm::algo::kf::TrackKalmanFilter< DataT, Settings >::Tr ( )

inline

Member Data Documentation

◆ fLinearisation

template<typename DataT, class Settings = FilterSettings<>>

Linearization_t cbm::algo::kf::TrackKalmanFilter< DataT, Settings >::fLinearisation {}

private

linearization parameters

Definition at line 310 of file KfTrackKalmanFilter.h.

Referenced by EnergyLossCorrection(), EnergyLossCorrection(), ExtrapolateInOneStep(), ExtrapolateLineInField(), ExtrapolateNoField(), GuessTrack(), Linearization(), MeasureVelocityWithQp(), MultipleScattering(), MultipleScatteringInThickMaterial(), SetLinearization(), SetOneEntry(), SetTrack(), and SetTrack().

◆ fMask

template<typename DataT, class Settings = FilterSettings<>>

DataTmask cbm::algo::kf::TrackKalmanFilter< DataT, Settings >::fMask {true}

private

mask of active elements in simd vectors

Data members

Definition at line 307 of file KfTrackKalmanFilter.h.

Referenced by EnergyLossCorrection(), EnergyLossCorrection(), Extrapolate(), ExtrapolateInOneStep(), ExtrapolateNoField(), Filter1d(), FilterTime(), FilterVi(), MeasureVelocityWithQp(), MultipleScattering(), MultipleScatteringInThickMaterial(), and SetMask().

◆ fMass

template<typename DataT, class Settings = FilterSettings<>>

DataT cbm::algo::kf::TrackKalmanFilter< DataT, Settings >::fMass {0.10565800}

private

particle mass (muon mass by default)

Definition at line 312 of file KfTrackKalmanFilter.h.

Referenced by EnergyLossCorrection(), GetParticleMass(), and SetParticleMass().

◆ fMass2

template<typename DataT, class Settings = FilterSettings<>>

DataT cbm::algo::kf::TrackKalmanFilter< DataT, Settings >::fMass2 {fMass * fMass}

private

mass squared

Definition at line 313 of file KfTrackKalmanFilter.h.

Referenced by EnergyLossCorrection(), EnergyLossCorrection(), GetParticleMass2(), MeasureVelocityWithQp(), MultipleScattering(), MultipleScatteringInThickMaterial(), and SetParticleMass().

◆ fMaxExtrapolationStep

template<typename DataT, class Settings = FilterSettings<>>

DataT cbm::algo::kf::TrackKalmanFilter< DataT, Settings >::fMaxExtrapolationStep {50.}

private

max extrapolation step [cm]

Definition at line 315 of file KfTrackKalmanFilter.h.

Referenced by Extrapolate(), GetMaxExtrapolationStep(), and SetMaxExtrapolationStep().

◆ fTr

template<typename DataT, class Settings = FilterSettings<>>

kf::TrackParam<DataT> cbm::algo::kf::TrackKalmanFilter< DataT, Settings >::fTr {}

private

◆ kNactiveParams

template<typename DataT, class Settings = FilterSettings<>>

int cbm::algo::kf::TrackKalmanFilter< DataT, Settings >::kNactiveParams = 5 + (Settings::kDoFitTime ? 2 : 0)

staticconstexpr

Definition at line 86 of file KfTrackKalmanFilter.h.

Referenced by ExtrapolateInOneStep().

The documentation for this class was generated from the following files:

Public Types

Public Member Functions

Static Public Member Functions

Static Public Attributes

Private Types

Private Member Functions

Private Attributes

Detailed Description

Member Typedef Documentation

◆ cnst

◆ DataTmask

◆ DataTscal

◆ Linearization_t

Constructor & Destructor Documentation

◆ TrackKalmanFilter() [1/3]

◆ TrackKalmanFilter() [2/3]

◆ TrackKalmanFilter() [3/3]

Member Function Documentation

◆ ApproximateBetheBloch() [1/2]

◆ ApproximateBetheBloch() [2/2]

◆ CleanNonActiveCovariances()

◆ EnergyLossCorrection() [1/2]

◆ EnergyLossCorrection() [2/2]

◆ Extrapolate()

◆ ExtrapolateInOneStep()

◆ ExtrapolateLineDxy()

◆ ExtrapolateLineInField()

◆ ExtrapolateLineXdX2()

◆ ExtrapolateLineYdY2()

◆ ExtrapolateNoField()

◆ Filter1d()

◆ FilterExtrapolatedXY()

◆ FilterExtrapolatedY() [1/2]

◆ FilterExtrapolatedY() [2/2]

◆ FilterExtrapolatedYChi2()

◆ FilterTime() [1/2]

◆ FilterTime() [2/2]

◆ FilterVi()

◆ FilterXY()

◆ GetChi2XChi2U()

◆ GetMaxExtrapolationStep()

◆ GetMeasurementModelAtZline()

◆ GetParticleMass()

◆ GetParticleMass2()

◆ GuessTrack()

◆ Linearization()

◆ MeasureVelocityWithQp()

◆ MultipleScattering() [1/2]

◆ MultipleScattering() [2/2]

◆ MultipleScatteringInThickMaterial()

◆ SetLinearization()

◆ SetMask()

◆ SetMaxExtrapolationStep()

◆ SetOneEntry()

◆ SetParticleMass()

◆ SetTrack() [1/2]

◆ SetTrack() [2/2]

◆ ToString()

◆ Tr()

Member Data Documentation

◆ fLinearisation

◆ fMask

◆ fMass

◆ fMass2

◆ fMaxExtrapolationStep

◆ fTr

◆ kNactiveParams