GroupedTrajCandLess Class Reference

#include <GroupedTrajCandLess.h>

Inheritance diagram for GroupedTrajCandLess:

List of all members.

Public Member Functions
	GroupedTrajCandLess (float p=5, float b=0)
bool	operator() (const TempTrajectory &a, const TempTrajectory &b) const
bool	operator() (const Trajectory &a, const Trajectory &b) const
Private Member Functions
float	score (const Trajectory &t) const
float	score (const TempTrajectory &t) const
Private Attributes
float	bonus
float	penalty

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Detailed Description

Defines an ordering of Trajectories in terms of "goodness" The comparison is done in terms of total chi**2 / ndf plus a penalty for "lost" hits.

Definition at line 13 of file GroupedTrajCandLess.h.

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Constructor & Destructor Documentation

GroupedTrajCandLess::GroupedTrajCandLess	(	float	p = 5,
		float	b = 0
	)		[inline]

Definition at line 18 of file GroupedTrajCandLess.h.

: penalty(p), bonus(b) {}

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Member Function Documentation

bool GroupedTrajCandLess::operator()	(	const Trajectory &	a,
		const Trajectory &	b
	)		const [inline]

Definition at line 20 of file GroupedTrajCandLess.h.

References score().

                                                                   {
    return score(a) < score(b);
  }

bool GroupedTrajCandLess::operator()	(	const TempTrajectory &	a,
		const TempTrajectory &	b
	)		const [inline]

Definition at line 24 of file GroupedTrajCandLess.h.

References score().

                                                                           {
    return score(a) < score(b);
  }

float GroupedTrajCandLess::score

(

const Trajectory &

t

)

const [inline, private]

Definition at line 29 of file GroupedTrajCandLess.h.

References bonus, Trajectory::chiSquared(), Trajectory::foundHits(), Trajectory::lostHits(), and penalty.

Referenced by operator()().

  {
//     int ndf(-5);
//     float chi2(0.);
//     vector<TrajectoryMeasurement> measurements(t.measurements());
//     for ( vector<TrajectoryMeasurement>::const_iterator im=measurements.begin();
//        im!=measurements.end(); im++ ) {
//       if ( im->recHit().isValid() ) {
//      ndf += im->recHit().dimension();
//      chi2 += im->estimate();
//       }
//     }

//     float normChi2(0.);
//     if ( ndf>0 ) {
//       // normalise chi2 to number of (2d) hits
//       normChi2 = chi2/ndf*2;
//     }
//     else {
// //       // include bonus for found hits
// //       normChi2 = chi2 - ndf/2*penalty;
//     }
//     normChi2 -= t.foundHits()*2*b;
//     return normChi2+t.lostHits()*penalty;
    return t.chiSquared()-t.foundHits()*bonus+t.lostHits()*penalty;
  }

float GroupedTrajCandLess::score

(

const TempTrajectory &

t

)

const [inline, private]

Definition at line 55 of file GroupedTrajCandLess.h.

References bonus, TempTrajectory::chiSquared(), TempTrajectory::foundHits(), TempTrajectory::lostHits(), and penalty.

  {
    return t.chiSquared()-t.foundHits()*bonus+t.lostHits()*penalty;
  }

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Member Data Documentation

float GroupedTrajCandLess::bonus [private]

Definition at line 63 of file GroupedTrajCandLess.h.

Referenced by score().

float GroupedTrajCandLess::penalty [private]

Definition at line 62 of file GroupedTrajCandLess.h.

Referenced by score().