62   using namespace KM3NETDAQ;
 
   79     JParser<> zap(
"Example program to test chi2 calculations of co-variance matrix including direction uncertainty.");
 
   84     zap[
'n'] = 
make_field(numberOfEvents)      = JLimit::max();
 
   96   catch(
const exception& error) {
 
   97     FATAL(error.what() << endl);
 
  101   using namespace KM3NETDAQ;
 
  104   const unsigned int NUMBER_OF_HITS      =  6;
 
  105   const double       STANDARD_DEVIATIONS =  3.0;                        
 
  106   const double       HIT_OFF             =  1.0e3 * sigma_ns*sigma_ns;  
 
  127   TH1D h0(
"h0", NULL, 50,  0.0,  20.0);
 
  128   TH1D h1(
"h1", NULL, 50,  0.0,  20.0);
 
  130   TH1D p0(
"p0", NULL, 50,  0.0,   1.0);
 
  131   TH1D 
p1(
"p1", NULL, 50,  0.0,   1.0);
 
  138     for ( ; x <  10.0; x +=  1.0) { 
X.push_back(x); }
 
  139     for ( ; x <  25.0; x +=  2.0) { 
X.push_back(x); }
 
  140     for ( ; x < 100.0; x +=  5.0) { 
X.push_back(x); }
 
  143   TProfile n0(
"n0", NULL, 
X.size() - 1, 
X.data());
 
  144   TProfile n1(
"n1", NULL, 
X.size() - 1, 
X.data());
 
  152   JHit::setSlewing(!useTrue);
 
  154   while (inputFile.hasNext()) {
 
  156     STATUS(
"event: " << setw(10) << inputFile.getCounter() << 
'\r'); 
DEBUG(endl);
 
  161     const Evt*       
event = ps;
 
  167     if (muon != event->mc_trks.end()) {
 
  176       const double theta = alpha_deg * 
PI / 180.0;
 
  177       const double phi   = gRandom->Uniform(0.0, 2*
PI);
 
  186         buildL2(*tev, moduleRouter, back_inserter(data));
 
  188         data.erase(unique(data.begin(), data.end(), equal_to<JDAQModuleIdentifier>()), data.end());
 
  198             const JPMTAddress&    address = pmtRouter.getAddress(i->pmt_id);
 
  200             const JPMT&           pmt     = pmtRouter.getPMT(address);
 
  201             const double          t1      = converter.putTime(
getTime(*i));
 
  209           sort(i->second.begin(), i->second.end(), less<JHit>());
 
  211           data.push_back(i->second[0]);
 
  218       data.erase(
clusterizeWeight(data.begin(), data.end(), match3B), data.end());
 
  223       for (JData_t::iterator i = data.begin(); i != data.end(); ++i) {
 
  227       data.erase(
clusterizeWeight(data.begin(), data.end(), match1D), data.end());
 
  237       for (JData_t::iterator i = data.begin(); i != data.end(); ++i) {
 
  238         i->sub(tz.getPosition());
 
  246       for (JData_t::iterator i = data.begin(); i != data.end(); ++i) {
 
  251       if (data.size() >= NUMBER_OF_HITS + numberOfOutliers) {
 
  253         JData_t::iterator __end = data.end();
 
  255         for (
int n = 0; 
n < numberOfOutliers && 
distance(data.begin(), __end) > NUMBER_OF_HITS; ++
n) {
 
  258           JData_t::iterator kill = __end;
 
  260           for (JData_t::iterator i = data.begin(); i != __end; ++i) {
 
  262             const double y = fabs(i->getT() - tz.getT(*i)) / sigma_ns;
 
  270           if (ymax >= STANDARD_DEVIATIONS)
 
  271             iter_swap(kill, --__end);
 
  276         const double chi2 = 
getChi2(tz, data.begin(), __end, sigma_ns);
 
  277         const int    N    = 
distance(data.begin(), __end);
 
  280         p0.Fill(TMath::Prob(chi2, N));
 
  281         n0.Fill((
double) data.size(), (double) N / (
double) data.size()); 
 
  285       if (data.size() >= NUMBER_OF_HITS + numberOfOutliers) {
 
  290         V.
set(tz, data.begin(), data.end(), alpha_deg, sigma_ns);
 
  291         Y.
set(tz, data.begin(), data.end());
 
  295         unsigned int N = data.size();
 
  297         for (
int n = 0; n < numberOfOutliers && N > NUMBER_OF_HITS; ++
n, --
N) {
 
  302           for (
unsigned int i = 0; i != V.
size(); ++i) {
 
  304             const double y = 
getChi2(Y, V, i);
 
  312           if (ymax >= STANDARD_DEVIATIONS * STANDARD_DEVIATIONS)
 
  318         const double chi2 = V.
getDot(Y);
 
  321         p1.Fill(TMath::Prob(chi2, N));
 
  322         n1.Fill((
double) data.size(), (double) N / (
double) data.size());
 
Router for direct addressing of PMT data in detector data structure. 
 
Data structure for angles in three dimensions. 
 
Utility class to parse command line options. 
 
static struct JTRIGGER::clusterizeWeight clusterizeWeight
 
void set(const JVector3D &pos, T __begin, T __end, const double alpha, const double sigma)
Set co-variance matrix. 
 
std::vector< T >::difference_type distance(typename std::vector< T >::const_iterator first, typename PhysicsEvent::const_iterator< T > second)
Specialisation of STL distance. 
 
static double getDot(const variance &first, const variance &second)
Get dot product. 
 
bool is_muon(const Trk &track)
Test whether given track is a (anti-)muon. 
 
Router for direct addressing of module data in detector data structure. 
 
Auxiliary class to synchronously read DAQ events and Monte Carlo events (and optionally other events)...
 
then JShowerPostfit f $INPUT_FILE o $OUTPUT_FILE N
 
JVertex3D & add(const JVertex3D &value)
Addition operator. 
 
Auxiliary class to convert DAQ hit time to/from Monte Carlo hit time. 
 
then fatal Wrong number of arguments fi set_variable STRING $argv[1] set_variable DETECTORXY_TXT $WORKDIR $DETECTORXY_TXT tail read X Y CHI2 RMS printf optimum n $X $Y $CHI2 $RMS awk v Y
 
double getTime(const Hit &hit)
Get true time of hit. 
 
void update(const size_t k, const double value)
Update inverted matrix at given diagonal element. 
 
V(JDAQEvent-JTriggerReprocessor)*1.0/(JDAQEvent+1.0e-10)
 
bool is_noise(const Hit &hit)
Verify hit origin. 
 
Head getHeader(const JMultipleFileScanner_t &file_list)
Get Monte Carlo header. 
 
int first
index of module in detector data structure 
 
Auxiliary class for defining the range of iterations of objects. 
 
Determination of the time residual vector of hits for a track along z-axis (JFIT::JLine1Z). 
 
JDirection3D getDirection(const Vec &dir)
Get direction. 
 
Data structure for vector in three dimensions. 
 
Determination of the co-variance matrix of hits for a track along z-axis (JFIT::JLine1Z). 
 
#define make_field(A,...)
macro to convert parameter to JParserTemplateElement object 
 
Data structure for PMT geometry, calibration and status. 
 
JPosition3D getPosition(const Vec &pos)
Get position. 
 
static const double PI
Mathematical constants. 
 
void set(const JLine1Z &track, T __begin, T __end)
Set time residual vector. 
 
void invert()
Invert matrix according LDU decomposition. 
 
size_t size() const 
Get dimension of matrix. 
 
Data structure for L2 parameters. 
 
then JCookie sh JDataQuality D $DETECTOR_ID R
 
const double getSpeedOfLight()
Get speed of light. 
 
Address of PMT in detector data structure. 
 
void load(const std::string &file_name, JDetector &detector)
Load detector from input file. 
 
Data structure for L0 hit. 
 
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
 
Data structure for fit of straight line paralel to z-axis. 
 
no fit printf nominal n $STRING awk v X
 
Data structure for position in three dimensions. 
 
const JLimit & getLimit() const 
Get limit. 
 
do set_variable DETECTOR_TXT $WORKDIR detector
 
General purpose class for multiple pointers. 
 
double getChi2(const double P)
Get chi2 corresponding to given probability. 
 
JPosition3D & rotate(const JRotation3D &R)
Rotate. 
 
The Evt class respresent a Monte Carlo (MC) event as well as an offline event. 
 
3D match criterion with road width. 
 
#define DEBUG(A)
Message macros.