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::JHitR1::@84 compare
Auxiliary data structure for sorting of hits. 
 
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. 
 
static struct JTRIGGER::@80 clusterizeWeight
Anonymous struct for weighed clustering of hits. 
 
double getQuality(const double chi2, const int N, const int NDF)
Get quality of fit. 
 
std::vector< hit_type > buffer_type
 
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] 
 
Data structure for normalised vector in positive z-direction. 
 
double TMaxLocal_ns
time window for local coincidences [ns]