|
|
|
#include <KFFittingSmoother.h>
Public Member Functions | |
| KFFittingSmoother * | clone () const |
| virtual std::vector< Trajectory > | fit (const Trajectory &t) const |
| virtual std::vector< Trajectory > | fit (const TrajectorySeed &aSeed, const RecHitContainer &hits, const TrajectoryStateOnSurface &firstPredTsos) const |
| virtual std::vector< Trajectory > | fit (const TrajectorySeed &aSeed, const RecHitContainer &hits) const |
| const TrajectoryFitter * | fitter () const |
| KFFittingSmoother (const TrajectoryFitter &aFitter, const TrajectorySmoother &aSmoother, double estimateCut=-1, double logPixelProbabilityCut=-16.0, int minNumberOfHits=5, bool rejectTracks=false, bool BreakTrajWith2ConsecutiveMissing=false, bool NoInvalidHitsBeginEnd=false) | |
| constructor with predefined fitter and smoother and propagator | |
| const TrajectorySmoother * | smoother () const |
| virtual | ~KFFittingSmoother () |
Private Member Functions | |
| void | smoothingStep (std::vector< Trajectory > &fitted, std::vector< Trajectory > &smoothed) const |
Private Attributes | |
| bool | breakTrajWith2ConsecutiveMissing |
| bool | noInvalidHitsBeginEnd |
| bool | rejectTracksFlag |
| double | theEstimateCut |
| const TrajectoryFitter * | theFitter |
| double | theLogPixelProbabilityCut |
| int | theMinNumberOfHits |
| const TrajectorySmoother * | theSmoother |
| TrajectoryStateWithArbitraryError | tsosWithError |
A TrajectorySmoother that rpeats the forward fit before smoothing. This is necessary e.g. when the seed introduced a bias (by using a beam contraint etc.). Ported from ORCA
Definition at line 19 of file KFFittingSmoother.h.
| KFFittingSmoother::KFFittingSmoother | ( | const TrajectoryFitter & | aFitter, |
| const TrajectorySmoother & | aSmoother, | ||
| double | estimateCut = -1, |
||
| double | logPixelProbabilityCut = -16.0, |
||
| int | minNumberOfHits = 5, |
||
| bool | rejectTracks = false, |
||
| bool | BreakTrajWith2ConsecutiveMissing = false, |
||
| bool | NoInvalidHitsBeginEnd = false |
||
| ) | [inline] |
constructor with predefined fitter and smoother and propagator
Definition at line 23 of file KFFittingSmoother.h.
Referenced by clone().
:
theFitter(aFitter.clone()),
theSmoother(aSmoother.clone()),
theEstimateCut(estimateCut),
// ggiurgiu@fnal.gov
theLogPixelProbabilityCut( logPixelProbabilityCut ),
theMinNumberOfHits(minNumberOfHits),
rejectTracksFlag(rejectTracks),
breakTrajWith2ConsecutiveMissing(BreakTrajWith2ConsecutiveMissing),
noInvalidHitsBeginEnd(NoInvalidHitsBeginEnd) {}
| KFFittingSmoother::~KFFittingSmoother | ( | ) | [virtual] |
Definition at line 17 of file KFFittingSmoother.cc.
{
delete theSmoother;
delete theFitter;
}
| KFFittingSmoother* KFFittingSmoother::clone | ( | void | ) | const [inline, virtual] |
Implements TrajectoryFitter.
Definition at line 55 of file KFFittingSmoother.h.
References breakTrajWith2ConsecutiveMissing, KFFittingSmoother(), noInvalidHitsBeginEnd, rejectTracksFlag, theEstimateCut, theFitter, theLogPixelProbabilityCut, theMinNumberOfHits, and theSmoother.
| vector< Trajectory > KFFittingSmoother::fit | ( | const TrajectorySeed & | aSeed, |
| const RecHitContainer & | hits, | ||
| const TrajectoryStateOnSurface & | firstPredTsos | ||
| ) | const [virtual] |
Implements TrajectoryFitter.
Definition at line 34 of file KFFittingSmoother.cc.
References newFWLiteAna::build, align_tpl::cut, relativeConstraints::empty, j, LogDebug, LogTrace, TrackingRecHit::missing, combine::missing, PixelSubdetector::PixelBarrel, GeomDetEnumerators::PixelEndcap, python::multivaluedict::pop(), Trajectory::push(), and DetId::Tracker.
{
LogDebug("TrackFitters") << "In KFFittingSmoother::fit";
//if(hits.empty()) return vector<Trajectory>(); // gio: moved later to optimize return value
bool hasoutliers;
bool has_low_pixel_prob; // ggiurgiu@fnal.gov: Add flag for pixel hits with low template probability
// ggiurgiu@fnal.gov: If log(Prob) < -15.0 or if Prob <= 0.0 then set log(Prob) = -15.0
double log_pixel_probability_lower_limit = -15.0;
RecHitContainer myHits = hits;
vector<Trajectory> smoothed;
vector<Trajectory> tmp_first;
do
{
if ( hits.empty() )
{
smoothed.clear();
break;
}
//if no outliers the fit is done only once
//for (unsigned int j=0;j<myHits.size();j++) {
//if (myHits[j]->det())
//LogTrace("TrackFitters") << "hit #:" << j+1 << " rawId=" << myHits[j]->det()->geographicalId().rawId()
//<< " validity=" << myHits[j]->isValid();
//else
//LogTrace("TrackFitters") << "hit #:" << j+1 << " Hit with no Det information";
//}
hasoutliers = false;
has_low_pixel_prob = false; // ggiurgiu@fnal.gov
double cut = theEstimateCut;
double log_pixel_prob_cut = theLogPixelProbabilityCut; // ggiurgiu@fnal.gov
unsigned int outlierId = 0;
const GeomDet* outlierDet = 0;
unsigned int low_pixel_prob_Id = 0; // ggiurgiu@fnal.gov
const GeomDet* low_pixel_prob_Det = 0; // ggiurgiu@fnal.gov
//call the fitter
vector<Trajectory> fitted = fitter()->fit(aSeed, myHits, firstPredTsos);
//call the smoother
smoothed.clear();
smoothingStep(fitted, smoothed);
//if (tmp_first.size()==0) tmp_first = smoothed; moved later
if ( smoothed.empty() )
{
if ( rejectTracksFlag )
{
LogTrace("TrackFitters") << "smoothed.size()==0 => trajectory rejected";
//return vector<Trajectory>(); // break is enough to get this
}
else
{
LogTrace("TrackFitters") << "smoothed.size()==0 => returning orignal trajectory" ;
smoothed.swap(tmp_first); // if first attempt, tmp_first would be empty anyway
}
break;
}
//else {
//LogTrace("TrackFitters") << "dump hits after smoothing";
//Trajectory::DataContainer meas = smoothed[0].measurements();
//for (Trajectory::DataContainer::iterator it=meas.begin();it!=meas.end();++it) {
//LogTrace("TrackFitters") << "hit #" << meas.end()-it-1 << " validity=" << it->recHit()->isValid()
//<< " det=" << it->recHit()->geographicalId().rawId();
//}
//}
if ( theEstimateCut > 0 || log_pixel_prob_cut > log_pixel_probability_lower_limit )
{
if ( smoothed[0].foundHits() < theMinNumberOfHits )
{
if ( rejectTracksFlag )
{
LogTrace("TrackFitters") << "smoothed[0].foundHits()<theMinNumberOfHits => trajectory rejected";
smoothed.clear();
//return vector<Trajectory>(); // break is enough
}
else
{
// it might be it's the first step
if ( !tmp_first.empty() )
{
tmp_first.swap(smoothed);
}
LogTrace("TrackFitters")
<< "smoothed[0].foundHits()<theMinNumberOfHits => returning orignal trajectory with chi2="
<< smoothed[0].chiSquared() ;
}
break;
}
// Check if there are outliers or low probability pixel rec hits
const std::vector<TrajectoryMeasurement> & vtm = smoothed[0].measurements();
double log_pixel_hit_probability = -999999.9;
for (std::vector<TrajectoryMeasurement>::const_iterator tm=vtm.begin(); tm!=vtm.end();tm++)
{
double estimate = tm->estimate();
// --- here is the block of code about generic chi2-based Outlier Rejection ---
if ( estimate > cut )
{
hasoutliers = true;
cut = estimate;
outlierId = tm->recHit()->geographicalId().rawId();
outlierDet = tm->recHit()->det();
}
// --- here the block of code about generic chi2-based Outlier Rejection ends ---
// --- here is the block of code about PXL Outlier Rejection ---
if(log_pixel_prob_cut > log_pixel_probability_lower_limit){
// TO BE FIXED: the following code should really be moved into an external class or
// at least in a separate function. Current solution is ugly!
// The KFFittingSmoother shouldn't handle the details of
// Outliers identification and rejection. It shoudl just fit tracks.
// ggiurgiu@fnal.gov: Get pixel hit probability here
TransientTrackingRecHit::ConstRecHitPointer hit = tm->recHit();
unsigned int testSubDetID = ( hit->geographicalId().subdetId() );
if ( hit->isValid() &&
hit->geographicalId().det() == DetId::Tracker &&
( testSubDetID == PixelSubdetector::PixelBarrel ||
testSubDetID == PixelSubdetector::PixelEndcap )
)
{
// get the enclosed persistent hit
const TrackingRecHit* persistentHit = hit->hit();
// check if it's not null, and if it's a valid pixel hit
if ( !persistentHit == 0 &&
typeid(*persistentHit) == typeid(SiPixelRecHit) )
{
// tell the C++ compiler that the hit is a pixel hit
const SiPixelRecHit* pixhit = dynamic_cast<const SiPixelRecHit*>( hit->hit() );
double pixel_hit_probability = (float)pixhit->clusterProbability(0);
if ( pixel_hit_probability < 0.0 )
LogDebug("From KFFittingSmoother.cc")
<< "Wraning : Negative pixel hit probability !!!! Will set the probability to 10^{-15} !!!" << endl;
if ( pixel_hit_probability <= 0.0 || log10( pixel_hit_probability ) < log_pixel_probability_lower_limit )
log_pixel_hit_probability = log_pixel_probability_lower_limit;
else
log_pixel_hit_probability = log10( pixel_hit_probability );
int qbin = (int)pixhit->qBin();
if ( ( log_pixel_hit_probability < log_pixel_prob_cut ) &&
( qbin != 0 ) )
{
has_low_pixel_prob = true;
log_pixel_prob_cut = log_pixel_hit_probability;
low_pixel_prob_Id = tm->recHit()->geographicalId().rawId();
low_pixel_prob_Det = tm->recHit()->det();
}
} // if ( !persistentHit == 0 && ... )
} // if ( hit->isValid() && ... )
}
// --- here the block of code about PXL Outlier Rejection ends ---
} // for (std::vector<TrajectoryMeasurement>::const_iterator tm=vtm.begin(); tm!=vtm.end(); tm++)
if ( hasoutliers || has_low_pixel_prob )
{ // Reject outliers and pixel hits with low probability
// Replace outlier hit or low probability pixel hit with invalid hit
for ( unsigned int j=0; j<myHits.size(); ++j )
{
if ( hasoutliers && outlierId == myHits[j]->geographicalId().rawId() )
{
LogTrace("TrackFitters") << "Rejecting outlier hit with estimate " << cut << " at position "
<< j << " with rawId=" << myHits[j]->geographicalId().rawId();
LogTrace("TrackFitters") << "The fit will be repeated without the outlier";
myHits[j] = InvalidTransientRecHit::build(outlierDet, TrackingRecHit::missing);
}
else if ( has_low_pixel_prob && low_pixel_prob_Id == myHits[j]->geographicalId().rawId() )
{
LogTrace("TrackFitters") << "Rejecting low proability pixel hit with log_pixel_prob_cut = "
<< log_pixel_prob_cut << " at position "
<< j << " with rawId =" << myHits[j]->geographicalId().rawId();
LogTrace("TrackFitters") << "The fit will be repeated without the outlier";
myHits[j] = InvalidTransientRecHit::build(low_pixel_prob_Det, TrackingRecHit::missing);
}
} // for ( unsigned int j=0; j<myHits.size(); ++j)
// Look if there are two consecutive invalid hits
if ( breakTrajWith2ConsecutiveMissing )
{
unsigned int firstinvalid = myHits.size()-1;
for ( unsigned int j=0; j<myHits.size()-1; ++j )
{
if ( ((myHits[j ]->type() == TrackingRecHit::missing) && (myHits[j ]->geographicalId().rawId() != 0)) &&
((myHits[j+1]->type() == TrackingRecHit::missing) && (myHits[j+1]->geographicalId().rawId() != 0)) )
{
firstinvalid = j;
LogTrace("TrackFitters") << "Found two consecutive missing hits. First invalid: " << firstinvalid;
break;
}
}
//reject all the hits after the last valid before two consecutive invalid (missing) hits
//hits are sorted in the same order as in the track candidate FIXME??????
myHits.erase(myHits.begin()+firstinvalid,myHits.end());
}
} // if ( hasoutliers || has_low_pixel_prob )
} // if ( theEstimateCut > 0 ... )
if ( ( hasoutliers || // otherwise there won't be a 'next' loop where tmp_first could be useful
has_low_pixel_prob ) && // ggiurgiu@fnal.gov
!rejectTracksFlag && // othewrise we won't ever need tmp_first
tmp_first.empty() )
{ // only at first step
smoothed.swap(tmp_first);
}
} // do
while ( hasoutliers || has_low_pixel_prob ); // ggiurgiu@fnal.gov
if ( !smoothed.empty() )
{
if ( noInvalidHitsBeginEnd )
{
// discard latest dummy measurements
if ( !smoothed[0].empty() &&
!smoothed[0].lastMeasurement().recHit()->isValid() )
LogTrace("TrackFitters") << "Last measurement is invalid";
while ( !smoothed[0].empty() &&
!smoothed[0].lastMeasurement().recHit()->isValid() )
smoothed[0].pop();
//remove the invalid hits at the begin of the trajectory
if ( !smoothed[0].firstMeasurement().recHit()->isValid() )
{
LogTrace("TrackFitters") << "First measurement is invalid";
Trajectory tmpTraj(smoothed[0].seed(),smoothed[0].direction());
Trajectory::DataContainer meas = smoothed[0].measurements();
Trajectory::DataContainer::iterator it;//first valid hit
for ( it=meas.begin(); it!=meas.end(); ++it )
{
if ( !it->recHit()->isValid() )
continue;
else break;
}
tmpTraj.push(*it,smoothed[0].chiSquared());//push the first valid measurement and set the same global chi2
for (Trajectory::DataContainer::iterator itt=it+1; itt!=meas.end();++itt)
{
tmpTraj.push(*itt,0);//add all the other measurements
}
smoothed.clear();
smoothed.push_back(tmpTraj);
} // if ( !smoothed[0].firstMeasurement().recHit()->isValid() )
} // if ( noInvalidHitsBeginEnd )
LogTrace("TrackFitters") << "end: returning smoothed trajectory with chi2="
<< smoothed[0].chiSquared() ;
//LogTrace("TrackFitters") << "dump hits before return";
//Trajectory::DataContainer meas = smoothed[0].measurements();
//for (Trajectory::DataContainer::iterator it=meas.begin();it!=meas.end();++it) {
//LogTrace("TrackFitters") << "hit #" << meas.end()-it-1 << " validity=" << it->recHit()->isValid()
//<< " det=" << it->recHit()->geographicalId().rawId();
//}
}
return smoothed;
}
| vector< Trajectory > KFFittingSmoother::fit | ( | const TrajectorySeed & | aSeed, |
| const RecHitContainer & | hits | ||
| ) | const [virtual] |
Implements TrajectoryFitter.
Definition at line 349 of file KFFittingSmoother.cc.
References Exception.
{
throw cms::Exception("TrackFitters",
"KFFittingSmoother::fit(TrajectorySeed, <TransientTrackingRecHit>) not implemented");
return vector<Trajectory>();
}
| vector< Trajectory > KFFittingSmoother::fit | ( | const Trajectory & | t | ) | const [virtual] |
Implements TrajectoryFitter.
Definition at line 23 of file KFFittingSmoother.cc.
References Trajectory::isValid().
{
vector<Trajectory> smoothed;
if ( t.isValid() )
{
vector<Trajectory> fitted = fitter()->fit(t);
smoothingStep(fitted, smoothed);
}
return smoothed;
}
| const TrajectoryFitter* KFFittingSmoother::fitter | ( | void | ) | const [inline] |
Definition at line 52 of file KFFittingSmoother.h.
References theFitter.
Referenced by KalmanAlignmentAlgorithm::initializeAlignmentSetups().
{return theFitter;}
| const TrajectorySmoother* KFFittingSmoother::smoother | ( | ) | const [inline] |
Definition at line 53 of file KFFittingSmoother.h.
References theSmoother.
Referenced by KalmanAlignmentAlgorithm::initializeAlignmentSetups().
{return theSmoother;}
| void KFFittingSmoother::smoothingStep | ( | std::vector< Trajectory > & | fitted, |
| std::vector< Trajectory > & | smoothed | ||
| ) | const [private] |
Definition at line 338 of file KFFittingSmoother.cc.
References LogDebug.
{
for(vector<Trajectory>::iterator it = fitted.begin(); it != fitted.end();
it++) {
vector<Trajectory> mysmoothed = smoother()->trajectories(*it);
smoothed.insert(smoothed.end(), mysmoothed.begin(), mysmoothed.end());
}
LogDebug("TrackFitters") << "In KFFittingSmoother::smoothingStep "<<smoothed.size();
}
bool KFFittingSmoother::breakTrajWith2ConsecutiveMissing [private] |
Definition at line 72 of file KFFittingSmoother.h.
Referenced by clone().
bool KFFittingSmoother::noInvalidHitsBeginEnd [private] |
Definition at line 73 of file KFFittingSmoother.h.
Referenced by clone().
bool KFFittingSmoother::rejectTracksFlag [private] |
Definition at line 71 of file KFFittingSmoother.h.
Referenced by clone().
double KFFittingSmoother::theEstimateCut [private] |
Definition at line 66 of file KFFittingSmoother.h.
Referenced by clone().
const TrajectoryFitter* KFFittingSmoother::theFitter [private] |
Definition at line 64 of file KFFittingSmoother.h.
double KFFittingSmoother::theLogPixelProbabilityCut [private] |
Definition at line 68 of file KFFittingSmoother.h.
Referenced by clone().
int KFFittingSmoother::theMinNumberOfHits [private] |
Definition at line 70 of file KFFittingSmoother.h.
Referenced by clone().
const TrajectorySmoother* KFFittingSmoother::theSmoother [private] |
Definition at line 65 of file KFFittingSmoother.h.
Referenced by clone(), and smoother().
Definition at line 76 of file KFFittingSmoother.h.
1.7.3