diff --git a/Tracking/TrkFitter/TrkDeterministicAnnealingFilter/src/DAF_SimpleWeightCalculator.cxx b/Tracking/TrkFitter/TrkDeterministicAnnealingFilter/src/DAF_SimpleWeightCalculator.cxx
index 99d8efc3d9cf5911555c7f3411a1aec80fafbe77..0e315ec6877d2658eb4f44fd665fa3dbf0f256b6 100755
--- a/Tracking/TrkFitter/TrkDeterministicAnnealingFilter/src/DAF_SimpleWeightCalculator.cxx
+++ b/Tracking/TrkFitter/TrkDeterministicAnnealingFilter/src/DAF_SimpleWeightCalculator.cxx
@@ -141,7 +141,7 @@ Trk::DAF_SimpleWeightCalculator::normalize (
// copy given assgnProbs to new vector
ATH_MSG_DEBUG("copy vector<AssignmentProb> to a new one");
- auto newAssgnProbs = new std::vector< Trk::CompetingRIOsOnTrack::AssignmentProb >(*assgnProbs);
+ auto *newAssgnProbs = new std::vector< Trk::CompetingRIOsOnTrack::AssignmentProb >(*assgnProbs);
//*newAssgnProbs = *assgnProbs;
ATH_MSG_DEBUG("call other normalize()");
Trk::DAF_SimpleWeightCalculator::normalize( *newAssgnProbs, ROTs, beta, cutValue );
diff --git a/Tracking/TrkFitter/TrkGlobalChi2Fitter/TrkGlobalChi2Fitter/GlobalChi2Fitter.h b/Tracking/TrkFitter/TrkGlobalChi2Fitter/TrkGlobalChi2Fitter/GlobalChi2Fitter.h
index eb0d98f5298dbec23b65b6737f928ff80e99bef4..86c15ba531082ce137e43a41f21bafb96e00c86c 100755
--- a/Tracking/TrkFitter/TrkGlobalChi2Fitter/TrkGlobalChi2Fitter/GlobalChi2Fitter.h
+++ b/Tracking/TrkFitter/TrkGlobalChi2Fitter/TrkGlobalChi2Fitter/GlobalChi2Fitter.h
@@ -675,7 +675,7 @@ namespace Trk {
const TrackParameters &,
const GXFTrackState &,
PropDirection,
- MagneticFieldProperties,
+ const MagneticFieldProperties&,
bool,
bool
) const;
@@ -725,7 +725,7 @@ namespace Trk {
const TrackParameters &,
const GXFTrackState &,
PropDirection,
- MagneticFieldProperties,
+ const MagneticFieldProperties&,
bool,
bool
) const;
@@ -840,7 +840,7 @@ namespace Trk {
const TrackParameters *,
const Surface *,
PropDirection,
- const MagneticFieldProperties
+ const MagneticFieldProperties&
) const;
virtual int iterationsOfLastFit() const;
diff --git a/Tracking/TrkFitter/TrkGlobalChi2Fitter/src/GlobalChi2Fitter.cxx b/Tracking/TrkFitter/TrkGlobalChi2Fitter/src/GlobalChi2Fitter.cxx
index 14727f1955b4531ed814a595d238d8f063193588..c168976cfe8877b02c387e863eaf94f65417c2a3 100644
--- a/Tracking/TrkFitter/TrkGlobalChi2Fitter/src/GlobalChi2Fitter.cxx
+++ b/Tracking/TrkFitter/TrkGlobalChi2Fitter/src/GlobalChi2Fitter.cxx
@@ -294,7 +294,7 @@ namespace Trk {
bool muonisstraight = muontrack->info().trackProperties(TrackInfo::StraightTrack);
bool measphi = false;
- for (auto i : *(muontrack->measurementsOnTrack())) {
+ for (const auto *i : *(muontrack->measurementsOnTrack())) {
const CompetingRIOsOnTrack *crot = dynamic_cast<const CompetingRIOsOnTrack *>(i);
const RIO_OnTrack *rot = nullptr;
@@ -678,7 +678,7 @@ namespace Trk {
std::vector<const TrackStateOnSurface *> tmp_matvec;
if ((matvec != nullptr) && !matvec->empty()) {
- tmp_matvec = std::move(*matvec);
+ tmp_matvec = *matvec;
delete tmp_matvec.back();
tmp_matvec.pop_back();
@@ -2256,7 +2256,7 @@ namespace Trk {
ATH_MSG_DEBUG("--> entering GlobalChi2Fitter::fit(PRDS,TP,)");
MeasurementSet rots;
- for (auto prd : prds) {
+ for (const auto *prd : prds) {
const Surface & prdsurf = (*prd).detectorElement()->surface((*prd).identify());
const RIO_OnTrack *rot = nullptr;
const PlaneSurface *plsurf = nullptr;
@@ -2433,7 +2433,7 @@ namespace Trk {
MeasurementSet rots;
const TrackParameters *hitparam = intrk.trackParameters()->back();
- for (auto prd : prds) {
+ for (const auto *prd : prds) {
const Surface & prdsurf = (*prd).detectorElement()->surface((*prd).identify());
Amg::VectorX parameterVector = hitparam->parameters();
@@ -2494,7 +2494,7 @@ namespace Trk {
bool need_to_correct = false;
- for (auto itSet : rots_in) {
+ for (const auto *itSet : rots_in) {
if (
(itSet != nullptr) &&
itSet->associatedSurface().associatedDetectorElementIdentifier().is_valid() &&
@@ -2508,7 +2508,7 @@ namespace Trk {
if (need_to_correct) {
MeasurementSet rots_new;
- for (auto itSet : rots_in) {
+ for (const auto *itSet : rots_in) {
if (itSet == nullptr) {
ATH_MSG_WARNING( "There is an empty MeasurementBase object in the track! Skip this object.." );
continue;
@@ -2544,7 +2544,7 @@ namespace Trk {
rots = rots_in;
}
- for (auto itSet : rots) {
+ for (const auto *itSet : rots) {
if (itSet == nullptr) {
ATH_MSG_WARNING("There is an empty MeasurementBase object in the track! Skip this object..");
} else {
@@ -4248,7 +4248,7 @@ namespace Trk {
matvec_used=false;
if (matvec && !matvec->empty()) {
- for (auto & i : *matvec) {
+ for (const auto & i : *matvec) {
const Trk::MaterialEffectsBase * meb = i->materialEffectsOnTrack();
if (meb != nullptr) {
@@ -7625,7 +7625,7 @@ namespace Trk {
* but this is more performant compared to removing them properly.
*/
if (
- rv.size() > 0 && (
+ !rv.empty() && (
&rv.front()->associatedSurface() == dst.surface() ||
&rv.front()->associatedSurface() == &src.associatedSurface() ||
trackParametersClose(*rv.front(), src, 0.001) ||
@@ -7659,7 +7659,7 @@ namespace Trk {
const TrackParameters & prev,
const GXFTrackState & ts,
PropDirection propdir,
- MagneticFieldProperties bf,
+ const MagneticFieldProperties& bf,
bool calcderiv,
bool holesearch
) const {
@@ -7702,7 +7702,7 @@ namespace Trk {
const TrackParameters & prev,
const GXFTrackState & ts,
PropDirection propdir,
- MagneticFieldProperties bf,
+ const MagneticFieldProperties& bf,
bool calcderiv,
bool holesearch
) const {
@@ -8292,7 +8292,7 @@ namespace Trk {
const TrackParameters* prevpar,
const Surface* surf,
PropDirection propdir,
- const MagneticFieldProperties fieldprop) const
+ const MagneticFieldProperties& fieldprop) const
{
ParamDefsAccessor paraccessor;
double J[25] = {
diff --git a/Tracking/TrkFitter/TrkKalmanFitter/src/KalmanSmoother.cxx b/Tracking/TrkFitter/TrkKalmanFitter/src/KalmanSmoother.cxx
index 8f673684ca0bfed386950fe44fc57c1290f5ac9b..5dda04214df033816f858db57cbb777818f6c98a 100755
--- a/Tracking/TrkFitter/TrkKalmanFitter/src/KalmanSmoother.cxx
+++ b/Tracking/TrkFitter/TrkKalmanFitter/src/KalmanSmoother.cxx
@@ -35,8 +35,8 @@
#include <iomanip>
// InterfaceID
-// const InterfaceID& Trk::KalmanSmoother::interfaceID() {
-// return InterfaceID_KalmanSmoother;
+// const InterfaceID& Trk::KalmanSmoother::interfaceID() {
+// return InterfaceID_KalmanSmoother;
//}
// constructor
@@ -64,7 +64,7 @@ Trk::KalmanSmoother::KalmanSmoother(const std::string& t,const std::string& n,co
// the extrapolation engine
declareProperty("ExtrapolationEngine", m_extrapolationEngine);
declareProperty("UseExtrapolationEngine", m_useExEngine);
-
+
declareInterface<IKalmanSmoother>( this );
}
@@ -96,7 +96,7 @@ StatusCode Trk::KalmanSmoother::finalize()
{
delete m_utility;
if (msgLvl(MSG::INFO)) {
-
+
int iw=9;
std::stringstream ss;
ss << "-------------------------------------------------------------------------------" << std::endl;
@@ -130,7 +130,7 @@ StatusCode Trk::KalmanSmoother::finalize()
ATH_MSG_INFO ("finalize() successful in " << name());
return StatusCode::SUCCESS;
}
-
+
// configure the Kalman Smoother
// needs: Propagator - define which track model to be used for extrapolating tracks
// Updator - defines the statistics for updating the estimator
@@ -158,8 +158,8 @@ StatusCode Trk::KalmanSmoother::configureWithTools(IExtrapolator* extrap,
if (m_dynamicNoiseAdjustor) {
ATH_MSG_INFO ("tool for DNA present, so dyn. noise adjustment inside Si detectors will be active!");
- }
-
+ }
+
m_initialErrors = m_updator->initialErrors();
ATH_MSG_DEBUG ("queried current Updator for fitter initialisation. Result:");
ATH_MSG_DEBUG ( m_initialErrors[0] << ", " << m_initialErrors[1]
@@ -179,7 +179,7 @@ Trk::FitterStatusCode Trk::KalmanSmoother::fit(Trk::Trajectory& tra
const Trk::KalmanMatEffectsController& kalMec) const
{
ATH_MSG_VERBOSE ("--> enter KalmanSmoother::fit");
-
+
// protection against being unconfigured
if (!m_updator) {
ATH_MSG_ERROR ("need to first configure with updator");
@@ -205,10 +205,10 @@ Trk::FitterStatusCode Trk::KalmanSmoother::fit(Trk::Trajectory& tra
}
double chi2Increment = 0.f;
int ndofIncrement = -5; // five free parameters
-
+
////////////////////////////////////////////////////////////////////////////////////
- // get last MeasurementBase and perform the missing update
-
+ // get last MeasurementBase and perform the missing update
+
/*-- careful with STL reverse iterator: the underlying normal iterator points to
a different element which is off by one, otherwise couldn't access rbegin() etc.
Transformation (rit constructor or rit's base() method) needs offset by +/- 1.
@@ -221,7 +221,7 @@ Trk::FitterStatusCode Trk::KalmanSmoother::fit(Trk::Trajectory& tra
ATH_MSG_VERBOSE ("create smoothed state at end of track by adding the last meas't");
std::unique_ptr<const TrackParameters> smooPar;
double smooPar_eta_for_monitoring=1000.;
- if (!fittableMeasurement || !forwardTPar)
+ if (!fittableMeasurement || !forwardTPar)
m_utility->dumpTrajectory(trajectory, "DAF-inconsistency");
// first smoothed TrkParameter is last forward prediction updated with last MBase
else smooPar.reset( m_updator->addToState(*forwardTPar,
@@ -253,12 +253,12 @@ Trk::FitterStatusCode Trk::KalmanSmoother::fit(Trk::Trajectory& tra
////////////////////////////////////////////////////////////////////////////////////
// start backward filtering
-
+
// use result of forward kalman filter as initial prediction, but scale error matrix.
AmgSymMatrix(5)* firstErrMtx = initialiseSmoother(*(lastPredictedState->smoothedTrackParameters())->covariance());
const AmgVector(5)& par = lastPredictedState->smoothedTrackParameters()->parameters();
- std::unique_ptr<const TrackParameters> predPar( CREATE_PARAMETERS(*(lastPredictedState->smoothedTrackParameters()),par,firstErrMtx) );
+ std::unique_ptr<const TrackParameters> predPar( CREATE_PARAMETERS(*(lastPredictedState->smoothedTrackParameters()),par,firstErrMtx) );
// The first step of backward-filtering is done before any loop because of the
// specially formed prediction (from the last forward parameters).
std::unique_ptr<const TrackParameters> updatedPar( m_updator->addToState(*predPar,
@@ -273,31 +273,29 @@ Trk::FitterStatusCode Trk::KalmanSmoother::fit(Trk::Trajectory& tra
lastPredictedState->backwardStateChiSquared(trackQualityIncrement->chiSquared());
addChi2IncrementAndDelete(trackQualityIncrement,chi2Increment,ndofIncrement);
// Trk::Surface& testSf = fittableMeasurement->associatedSurface();
-
-
+
+
////////////////////////////////////////////////////////////////////////////////////
// now do the rest of the forward trajectory by means of a reverse iterated loop
-
+
Trk::Trajectory::reverse_iterator rit = lastPredictedState + 1;
Trk::Trajectory::reverse_iterator lastSmoothableState
- = Trk::Trajectory::reverse_iterator(m_utility->firstFittableState(trajectory)) - 1; // this takes outliers into account
+ = Trk::Trajectory::reverse_iterator(m_utility->firstFittableState(trajectory)) - 1; // this takes outliers into account
for( ; rit!=trajectory.rend(); rit++) {
if (!rit->isOutlier()) {
smooPar_eta_for_monitoring = 1000.;
fittableMeasurement = rit->measurement();
-
+
if (msgLvl(MSG::DEBUG)) {
printGlobalParams(previousStatePosOnTraj, " start", updatedPar.get() );
// ATH_MSG_VERBOSE << " Now trying to hit surface " << fittableMeasurement->associatedSurface() << endmsg;
BoundaryCheck trackWithinSurface = true;
- // if ( ! testSf.isOnSurface( updatedPar->position(), trackWithinSurface) )
+ // if ( ! testSf.isOnSurface( updatedPar->position(), trackWithinSurface) )
// ATH_MSG_VERBOSE << " previous updated parameters are outside surface bounds!" << endmsg;
if ( ! fittableMeasurement->associatedSurface().isOnSurface( rit->forwardTrackParameters()->position(),
trackWithinSurface) ) {
ATH_MSG_VERBOSE (" for information: forward-filtered pars are outside surface bounds!");
- if (msgLvl(MSG::INFO)) monitorTrackFits( ForwParOutsideSurfaceBounds, ( updatedPar ? updatedPar->eta() : 1000. ) );
- // ATH_MSG_VERBOSE (fittableMeasurement->associatedSurface());
}
}
previousStatePosOnTraj = rit->positionOnTrajectory();
@@ -308,7 +306,7 @@ Trk::FitterStatusCode Trk::KalmanSmoother::fit(Trk::Trajectory& tra
// now propagate updated TrkParameters to surface of ROT
if (!m_useExEngine)
- predPar.reset( m_extrapolator->extrapolate(*updatedPar, sf,
+ predPar.reset( m_extrapolator->extrapolate(*updatedPar, sf,
Trk::oppositeMomentum, // reverse filtering
false, // no boundary check
kalMec.particleType()) );
@@ -317,13 +315,13 @@ Trk::FitterStatusCode Trk::KalmanSmoother::fit(Trk::Trajectory& tra
Trk::ExtrapolationCell <Trk::TrackParameters> ecc(*updatedPar, Trk::oppositeMomentum);
ecc.setParticleHypothesis(kalMec.particleType());
Trk::ExtrapolationCode eCode = m_extrapolationEngine->extrapolate(ecc, &sf, false);
-
+
if (eCode.isSuccess() && ecc.endParameters) {
ATH_MSG_DEBUG ("Smoother Kalman Fitter --> extrapolation engine success");
predPar.reset(ecc.endParameters);
} else {
ATH_MSG_WARNING ("Smoother Kalman Fitter --> extrapolation engine did not succeed");
- }
+ }
}
if(!predPar) {
@@ -349,14 +347,14 @@ Trk::FitterStatusCode Trk::KalmanSmoother::fit(Trk::Trajectory& tra
////////////////////////////////////////////////////////////////////
// adjust the momentum + error according to target measurement (brem fit)
const Trk::DNA_MaterialEffects* detectedMomentumNoise = nullptr;
- Trk::Trajectory::reverse_iterator stateWithNoise
+ Trk::Trajectory::reverse_iterator stateWithNoise
= m_utility->previousFittableState(trajectory, rit);
if (kalMec.doDNA() && stateWithNoise!=trajectory.rend()) {
const TrackParameters *predPar_temp=predPar.release();
const TrackParameters *updatedPar_temp=updatedPar.release();
- detectedMomentumNoise =
+ detectedMomentumNoise =
m_dynamicNoiseAdjustor->DNA_Adjust(predPar_temp, // change according to where meas is
updatedPar_temp, // previous state's pars (start)
fittableMeasurement, // the meas't
@@ -373,7 +371,7 @@ Trk::FitterStatusCode Trk::KalmanSmoother::fit(Trk::Trajectory& tra
updatedPar.reset( m_updator->addToState(*predPar, fittableMeasurement->localParameters(),
fittableMeasurement->localCovariance(),
trackQualityIncrement) );
-
+
if (!updatedPar || !trackQualityIncrement) {
if (msgLvl(MSG::INFO)) monitorTrackFits( UpdateFailure, predPar->eta() );
ATH_MSG_INFO ("could not update Track Parameters, reject track");
@@ -390,7 +388,7 @@ Trk::FitterStatusCode Trk::KalmanSmoother::fit(Trk::Trajectory& tra
// smoothed parameters = combination of predicted (!) forward and updated (!) backward state
// remember: first TrkParameter on ForwardTrajectory has no error matrix !!!
-
+
if (rit == lastSmoothableState) { // at the last don't do state combination.
ATH_MSG_VERBOSE ("Identified state" << (rit->positionOnTrajectory()>9? " " : " 0")<<
rit->positionOnTrajectory() << " as last fittable state.");
@@ -405,7 +403,6 @@ Trk::FitterStatusCode Trk::KalmanSmoother::fit(Trk::Trajectory& tra
}
if (!smooPar) {
ATH_MSG_INFO ("could not combine Track Parameters, reject track");
- if (msgLvl(MSG::INFO)) monitorTrackFits( CombineStatesFailure, ( updatedPar ? updatedPar->eta() : 1000. ) );
return FitterStatusCode::CombineStatesFailure;
}
// get FitQualityOnSurface
@@ -432,12 +429,12 @@ Trk::FitterStatusCode Trk::KalmanSmoother::fit(Trk::Trajectory& tra
stateWithNoise->checkinDNA_MaterialEffects(detectedMomentumNoise);
}
} // end if not an outlier
-
+
} // end loop over trajectory states
-
+
ATH_MSG_VERBOSE ("-S- smoothed trajectory created ");
-
-
+
+
// we made it
trackFitQuality = new Trk::FitQuality(chi2Increment,ndofIncrement);
if (msgLvl(MSG::INFO)) monitorTrackFits( Success, smooPar_eta_for_monitoring) ;
@@ -468,10 +465,10 @@ Trk::FitterStatusCode Trk::KalmanSmoother::fitWithReference(Trk::Trajectory&
}
double chi2Increment = 0.0;
int ndofIncrement = -5; // five free parameters
-
+
////////////////////////////////////////////////////////////////////////////////////
- // get last MeasurementBase and perform the missing update
-
+ // get last MeasurementBase and perform the missing update
+
/*-- careful with STL reverse iterator: the underlying normal iterator points to
a different element which is off by one, otherwise couldn't access rbegin() etc.
Transformation (rit constructor or rit's base() method) needs offset by +/- 1.
@@ -504,7 +501,7 @@ Trk::FitterStatusCode Trk::KalmanSmoother::fitWithReference(Trk::Trajectory&
if (msgLvl(MSG::INFO)) monitorTrackFits( Call, ( smooPar ? smooPar->eta() : 1000. ) );
if (!smooPar || !fitQual) {
ATH_MSG_WARNING ("first smoother update failed, reject track");
- if (msgLvl(MSG::INFO)) monitorTrackFits( UpdateFailure,
+ if (msgLvl(MSG::INFO)) monitorTrackFits( UpdateFailure,
lastPredictedState->referenceParameters()->eta() );
delete fitQual;
return FitterStatusCode::UpdateFailure;
@@ -522,7 +519,7 @@ Trk::FitterStatusCode Trk::KalmanSmoother::fitWithReference(Trk::Trajectory&
// specially formed prediction: result of FKF with scaled error matrix
AmgSymMatrix(5)* firstErrMtx = initialiseSmoother(*(lastPredictedState->smoothedTrackParameters()->covariance()));
AmgVector(5) firstDiff = updatedDifference->first; // make copy and delete
- updatedDifference.reset(
+ updatedDifference.reset(
m_updator->updateParameterDifference(firstDiff, *firstErrMtx,
*(lastPredictedState->measurementDifference()),
lastMeasurement->localCovariance(),
@@ -536,7 +533,7 @@ Trk::FitterStatusCode Trk::KalmanSmoother::fitWithReference(Trk::Trajectory&
}
lastPredictedState->backwardStateChiSquared(trackQualityIncrement->chiSquared());
addChi2IncrementAndDelete(trackQualityIncrement,chi2Increment,ndofIncrement);
-
+
double smooPar_eta_for_monitoring=1000.;
////////////////////////////////////////////////////////////////////////////////////
// now do the rest of the forward trajectory by means of a reverse iterated loop
@@ -544,7 +541,7 @@ Trk::FitterStatusCode Trk::KalmanSmoother::fitWithReference(Trk::Trajectory&
Trk::Trajectory::reverse_iterator lastSmoothableState
= Trk::Trajectory::reverse_iterator(m_utility->firstFittableState(trajectory)) - 1; // this takes outliers into account
for( ; rit!=trajectory.rend(); rit++) {
-
+
smooPar_eta_for_monitoring=1000.;
ATH_MSG_VERBOSE ("Now inverting Jacobian... (pointer is "<<(rit->jacobian()?"OK":"NULL")<<")");
@@ -568,10 +565,10 @@ Trk::FitterStatusCode Trk::KalmanSmoother::fitWithReference(Trk::Trajectory&
<< ", qOverP_diff=" << (predDiffPar)(Trk::qOverP)
<< ", sigmaDeltaE=" << rit->materialEffects()->sigmaDeltaE()
<< ", sigmaDeltaQoverP=" << sqrt(sigmaDeltaQoverPsquared) << std::fixed);//std::defaultfloat);
- ATH_MSG_VERBOSE ("Added material effects.");
+ ATH_MSG_VERBOSE ("Added material effects.");
}
/* possibly check quality of backward "extrapolation", if not good return a
- monitorTrackFits( FitterStatusCode::ExtrapolationFailure, eta) or
+ monitorTrackFits( FitterStatusCode::ExtrapolationFailure, eta) or
monitorTrackFits( ExtrapolationFailureDueToSmallMomentum, TP->eta())
*/
updatedDifference.reset();
@@ -586,7 +583,7 @@ Trk::FitterStatusCode Trk::KalmanSmoother::fitWithReference(Trk::Trajectory&
if (!fittableMeasurement || rit->isOutlier() ) { // pure material state or outlier
updatedDifference = std::make_unique<std::pair<AmgVector(5),AmgSymMatrix(5)>>( std::make_pair(predDiffPar,predCov) );
} else {
- updatedDifference.reset(
+ updatedDifference.reset(
m_updator->updateParameterDifference(predDiffPar, predCov,
*(rit->measurementDifference()),
fittableMeasurement->localCovariance(),
@@ -626,7 +623,7 @@ Trk::FitterStatusCode Trk::KalmanSmoother::fitWithReference(Trk::Trajectory&
// smoothed parameters = combination of predicted (!) forward and updated (!) backward state
// remember: first TrkParameter on ForwardTrajectory has no error matrix !!!
-
+
if (rit == lastSmoothableState) { // at the last don't do state combination.
ATH_MSG_VERBOSE ("Identified state" << (rit->positionOnTrajectory()>9? " " : " 0")<<
rit->positionOnTrajectory() << " as last fittable state.");
@@ -676,11 +673,11 @@ Trk::FitterStatusCode Trk::KalmanSmoother::fitWithReference(Trk::Trajectory&
if (rit== lastSmoothableState) break; // if first state is outlier, loop will malfunction
} // end loop over trajectory states
-
+
ATH_MSG_VERBOSE ("-S- smoothed trajectory created ");
-
+
// cleanup
-
+
// we made it
trackFitQuality = new Trk::FitQuality(chi2Increment,ndofIncrement);
if (msgLvl(MSG::INFO)) monitorTrackFits( Success, smooPar_eta_for_monitoring );
@@ -759,7 +756,7 @@ void Trk::KalmanSmoother::printGlobalParams(int istate, const std::string& ptype
{
char tt[80]; sprintf(tt,"T%.2u",istate);
if (not (msgLvl(MSG::VERBOSE))) return;
- msg(MSG::VERBOSE) << tt << ptype << " GP:"
+ msg(MSG::VERBOSE) << tt << ptype << " GP:"
<< std::setiosflags(std::ios::fixed | std::ios::showpoint | std::ios::right )
<< std::setw(9) << std::setprecision(2) << param->position()[0]
<< std::setw(9) << std::setprecision(2) << param->position()[1]
diff --git a/Tracking/TrkFitter/TrkiPatFitterUtils/src/FitProcedure.cxx b/Tracking/TrkFitter/TrkiPatFitterUtils/src/FitProcedure.cxx
index 917a8a8f4eaa944824b3cd0f2bff53c5b8a8c2c7..2deacb83a8783a2a02f23fdba169b061338d6975 100755
--- a/Tracking/TrkFitter/TrkiPatFitterUtils/src/FitProcedure.cxx
+++ b/Tracking/TrkFitter/TrkiPatFitterUtils/src/FitProcedure.cxx
@@ -165,7 +165,7 @@ FitProcedure::constructTrack (const std::vector<FitMeasurement*>& measurements,
}
// then append the fitted TSOS
- for (auto m : measurements)
+ for (auto *m : measurements)
{
if (m->isMaterialDelimiter()) continue;
@@ -796,7 +796,7 @@ FitProcedure::calculateChiSq(std::vector<FitMeasurement*>& measurements)
m_chiSq = 0.;
double driftResidual= 0.;
double DSqMax = 0.;
- for (auto m : measurements)
+ for (auto *m : measurements)
{
if (! m->numberDoF()) continue;
// if (m->isPerigee())
@@ -922,7 +922,7 @@ FitProcedure::calculateChiSq(std::vector<FitMeasurement*>& measurements)
(**measurements.begin()).printHeading(*m_log);
int n = 0;
- for (auto m : measurements)
+ for (auto *m : measurements)
{
*m_log << std::setiosflags(std::ios::fixed)
<< std::setw(3) << ++n;
diff --git a/Tracking/TrkFitter/TrkiPatFitterUtils/src/MeasurementProcessor.cxx b/Tracking/TrkFitter/TrkiPatFitterUtils/src/MeasurementProcessor.cxx
index b8ab5df68803ea7eae6bd33eb1498152e6ce6068..659c4b7b2eaf0426c624a604facb5882e08e1ccd 100755
--- a/Tracking/TrkFitter/TrkiPatFitterUtils/src/MeasurementProcessor.cxx
+++ b/Tracking/TrkFitter/TrkiPatFitterUtils/src/MeasurementProcessor.cxx
@@ -75,7 +75,7 @@ MeasurementProcessor::MeasurementProcessor (bool asymmetricCaloEnergy,
if(m_useStepPropagator==2) m_stepField = Trk::MagneticFieldProperties(Trk::FastField);
- for (auto m : m_measurements)
+ for (auto *m : m_measurements)
{
if (! m->numberDoF()) continue;
if (m->isAlignment()) m_alignments.push_back(m);
@@ -178,7 +178,7 @@ MeasurementProcessor::calculateDerivatives(void)
}
// loop over measurements to compute derivatives:
- for (auto m : m_measurements)
+ for (auto *m : m_measurements)
{
// strip detector types
if (m->isCluster())
@@ -339,7 +339,7 @@ MeasurementProcessor::calculateResiduals(void)
{
int nAlign = 0;
int nScat = 0;
- for (auto m : m_measurements)
+ for (auto *m : m_measurements)
{
if (! (*m).numberDoF()) continue;
@@ -638,7 +638,7 @@ MeasurementProcessor::propagationDerivatives(void)
{
// compute additional derivatives when needed for covariance propagation.
// loop over measurements:
- for (auto m : m_measurements)
+ for (auto *m : m_measurements)
{
// compute the D0 and Z0 derivs that don't already exist
if (! m->isPositionMeasurement() || m->numberDoF() > 1) continue;