Declaration of the operator that performs the reconstruction. 
   85       const double STANDARD_DEVIATIONS       = 3.0;
 
  104       copy(dataL1.begin(), dataL1.end(), back_inserter(dataL0));
 
  106       for (buffer_type::const_iterator i = buffer.begin(); i != buffer.end(); ++i) {
 
  108         if (find_if(dataL1.begin(), dataL1.end(), match_t(*i, 
TMaxLocal_ns)) == dataL1.end()) {
 
  109           dataL0.push_back(*i); 
 
  113       for (buffer_type::const_iterator 
root = dataL1.begin(); 
root != dataL1.end(); ++
root) {
 
  119         for (buffer_type::const_iterator i = dataL0.begin(); i != dataL0.end(); ++i) {
 
  121           if(( 
root->getModuleIdentifier() != i->getModuleIdentifier() ) && matching(*i)){
 
  126         buffer_type::iterator __end1 = 
clusterizeWeight(data.begin() + 1, data.end(), match3G);
 
  131         double    chi2 = numeric_limits<double>::max();
 
  132         int       NDF  = 
distance(data.begin(), __end1) - JEstimator_t::NUMBER_OF_PARAMETERS;
 
  137           double ymin = numeric_limits<double>::max();
 
  139           buffer_type::iterator __end2 = __end1;
 
  142                  JEstimator_t::NUMBER_OF_PARAMETERS; ++
n, --__end2) {
 
  149                 fit(data.begin(), __end2);
 
  157                   NDF  = 
distance(data.begin(), __end2) - JEstimator_t::NUMBER_OF_PARAMETERS;
 
  165             ymin -= STANDARD_DEVIATIONS * STANDARD_DEVIATIONS;
 
  170           const int number_of_outliers = 
distance(data.begin(), __end1) - JEstimator_t::NUMBER_OF_PARAMETERS - 1;
 
  172           buffer_type::iterator __end2 = __end1;
 
  174           for (
int n = 0; n <= number_of_outliers; ++
n) {         
 
  178               fit(data.begin(), __end2);
 
  181               NDF  = 
distance(data.begin(), __end2) - JEstimator_t::NUMBER_OF_PARAMETERS;
 
  188             buffer_type::iterator imax = __end2;
 
  190             for (buffer_type::iterator i = data.begin() + 1; i != __end2; ++i) {
 
  200             if (ymax > STANDARD_DEVIATIONS * STANDARD_DEVIATIONS) {     
 
  202               swap(*imax, *__end2);       
 
  209         if (NDF >= 0 && chi2 > numeric_limits<double>::lowest()) {
 
  215           out.rbegin()->setW(13, chi2);
 
  216           out.rbegin()->setW(14, N);           
 
int factoryLimit
factory limit for combinatorics 
int numberOfOutliers
maximum number of outliers 
static struct JTRIGGER::clusterizeWeight clusterizeWeight
double sigma_ns
time resolution [ns] 
JBinder2nd< JHit_t > JBind2nd(const JMatch< JHit_t > &match, const JHit_t &second)
Auxiliary method to create JBinder2nd object. 
Linear fit of bright point (position and time) between hits (objects with position and time)...
std::vector< T >::difference_type distance(typename std::vector< T >::const_iterator first, typename PhysicsEvent::const_iterator< T > second)
Specialisation of STL distance. 
Data structure for vertex fit. 
then JShowerPostfit f $INPUT_FILE o $OUTPUT_FILE N
JFit getFit(const JHistory &history, const JTrack3D &track, const double Q, const int NDF, const double energy=0.0, const int status=SINGLE_STAGE)
Get fit. 
Auxiliary class to convert binary JMatch operator and given hit to unary match operator. 
double getQuality(const double chi2, const int N, const int NDF)
Get quality of fit. 
std::vector< hit_type > buffer_type
static struct JTRIGGER::JHitR1::compare compare
static const int JSHOWERPREFIT
const JModuleRouter & router
double ctMin
minimal cosine space angle between PMT axes 
Data structure for L2 parameters. 
do JPlot2D f $WORKDIR detector root
then if[[!-f $DETECTOR]] then JDetector sh $DETECTOR fi cat $WORKDIR trigger_parameters txt<< EOFtrigger3DMuon.enabled=1;trigger3DMuon.numberOfHits=5;trigger3DMuon.gridAngle_deg=1;ctMin=0.0;TMaxLocal_ns=15.0;EOF set_variable TRIGGEREFFICIENCY_TRIGGERED_EVENTS_ONLY INPUT_FILES=() for((i=1;$i<=$NUMBER_OF_RUNS;++i));do JSirene.sh $DETECTOR $JPP_DATA/genhen.km3net_wpd_V2_0.evt.gz $WORKDIR/sirene_ ${i}.root JTriggerEfficiency.sh $DETECTOR $DETECTOR $WORKDIR/sirene_ ${i}.root $WORKDIR/trigger_efficiency_ ${i}.root $WORKDIR/trigger_parameters.txt $JPP_DATA/PMT_parameters.txt INPUT_FILES+=($WORKDIR/trigger_efficiency_ ${i}.root) done for ANGLE_DEG in $ANGLES_DEG[*];do set_variable SIGMA_NS 3.0 set_variable OUTLIERS 3 set_variable OUTPUT_FILE $WORKDIR/matrix\[${ANGLE_DEG}\deg\].root $JPP_DIR/examples/JReconstruction-f"$INPUT_FILES[*]"-o $OUTPUT_FILE-S ${SIGMA_NS}-A ${ANGLE_DEG}-O ${OUTLIERS}-d ${DEBUG}--!fiif[[$OPTION=="plot"]];then if((0));then for H1 in h0 h1;do JPlot1D-f"$WORKDIR/matrix["${^ANGLES_DEG}" deg].root:${H1}"-y"1 2e3"-Y-L TR-T""-\^"number of events [a.u.]"-> o chi2
int getCount(const T &hit)
Get hit count. 
void copy(const Head &from, JHead &to)
Copy header from from to to. 
double roadWidth_m
road width [m] 
double getChi2(const double P)
Get chi2 corresponding to given probability. 
Data structure for normalised vector in positive z-direction. 
double TMaxLocal_ns
time window for local coincidences [ns]