Tracks * getTracks(Int_t Runs, Int_t dataType, Int_t frameType, Float_t energy, Float_t *x, Float_t *y) {
run_energy = energy;
DataInterface * di = new DataInterface();
Misalign * m = new Misalign();
Int_t nClusters = kEventsPerRun * 5 * nLayers;
Int_t nHits = kEventsPerRun * 50;
Int_t nTracks = kEventsPerRun * 2;
Bool_t breakSignal = false;
CalorimeterFrame *cf = new CalorimeterFrame();
Clusters * clusters = new Clusters(nClusters);
Clusters * trackerClusters = new Clusters(nClusters);
Hits * hits = new Hits(nHits);
Hits * eventIDs = new Hits(kEventsPerRun * sizeOfEventID);
Int_t eventID = -1;
Hits * trackerHits = new Hits(nHits);
Tracks * calorimeterTracks = nullptr;
Tracks * trackerTracks = new Tracks(nTracks);
Tracks * allTracks = new Tracks(nTracks * Runs);
TRandom3 * gRandom = new TRandom3(0);
TStopwatch t1, t2, t3, t4, t5, t6;
ofstream file("OutputFiles/efficiency.csv", ofstream::out | ofstream::app);
Int_t totalNumberOfFrames = 0;
Int_t tracksTotalNumberAfterRecon = 0;
Int_t tracksRemovedDueToBadChannels = 0;
Int_t tracksGivenToReconstruction = 0;
Int_t tracksRemovedDueToLeavingDetector = 0;
Int_t tracksRemovedDueToNuclearInteractions = 0;
Int_t clustersInFirstLayer = 0;
Int_t tracksRemovedDueToCollisions = 0;
// file: np; number of reconstructed tracks; tracks after removeTracksLeavingDetector; tracks after removeTrackCollisions
for (Int_t i=0; i<Runs; i++) {
cout << "Finding track " << (i+1)*kEventsPerRun << " of " << Runs*kEventsPerRun << "... ";
if (dataType == kMC) {
t1.Start();
eventID = di->getMCFrame(i, cf, x, y);
di->getEventIDs(i, eventIDs);
t1.Stop(); t2.Start();
showDebug("Start diffuseFrame\n");
cf->diffuseFrame(gRandom);
showDebug("End diffuseFrame, start findHits\n");
t2.Stop(); t3.Start();
hits = cf->findHits(eventID);
showDebug("Number of hits in frame: " << hits->GetEntriesFast() << endl);
t3.Stop(); t4.Start();
clusters = hits->findClustersFromHits(); // badly optimized
cout << "Found " << clusters->GetEntriesInLayer(0) << " clusters in the first layer.\n";
cout << "Found " << clusters->GetEntriesInLayer(1) << " clusters in the second layer.\n";
clusters->removeSmallClusters(2);
cout << "Found " << clusters->GetEntriesInLayer(0) << " clusters in the first layer after removeSmallClusters.\n";
t4.Stop();
clusters->matchWithEventIDs(eventIDs);
eventIDs->Clear();
}
else if (dataType == kData) {
t1.Start(); di->getDataFrame(i, cf, energy); t1.Stop();
t3.Start(); hits = cf->findHits(); t3.Stop();
t4.Start(); clusters = hits->findClustersFromHits(); t4.Stop();
clusters->removeSmallClusters(2);
clusters->removeAllClustersAfterLayer(8); // bad data in layer 10 and 11
cout << "Found " << clusters->GetEntriesInLayer(0) << " clusters in the first layer.\n";
cout << "Found " << clusters->GetEntriesInLayer(1) << " clusters in the second layer.\n";
m->correctClusters(clusters);
}
t5.Start();
calorimeterTracks = clusters->findCalorimeterTracks();
t5.Stop();
tracksTotalNumberAfterRecon += calorimeterTracks->GetEntries();
if (calorimeterTracks->GetEntriesFast() == 0) breakSignal = kTRUE; // to stop running
// Track improvements
Int_t nTracksBefore = 0, nTracksAfter = 0;
Int_t nIsInelastic = 0, nIsNotInelastic = 0;
calorimeterTracks->extrapolateToLayer0();
calorimeterTracks->splitSharedClusters();
nTracksBefore = calorimeterTracks->GetEntries();
calorimeterTracks->removeTracksLeavingDetector();
nTracksAfter = calorimeterTracks->GetEntries();
tracksRemovedDueToLeavingDetector += nTracksBefore - nTracksAfter;
cout << "Of " << nTracksBefore << " tracks, " << nTracksBefore - nTracksAfter << " (" << 100* ( nTracksBefore - nTracksAfter) / ( (float) nTracksBefore ) << "%) were lost when leaving the detector.\n";
nTracksBefore = calorimeterTracks->GetEntries();
calorimeterTracks->removeTrackCollisions();
nTracksAfter = calorimeterTracks->GetEntries();
tracksRemovedDueToCollisions += nTracksBefore - nTracksAfter;
if (kDataType == kData) {
nTracksBefore = calorimeterTracks->GetEntries();
calorimeterTracks->removeTracksEndingInBadChannels();
nTracksAfter = calorimeterTracks->GetEntries();
cout << "Of " << nTracksBefore << " tracks, " << nTracksBefore - nTracksAfter << " (" << 100* ( nTracksBefore - nTracksAfter) / ( (float) nTracksBefore ) << "%) were removed due to ending just before a bad channel.\n";
tracksRemovedDueToBadChannels += nTracksBefore - nTracksAfter;
}
for (Int_t k=0; k<calorimeterTracks->GetEntriesFast(); k++) {
if (calorimeterTracks->At(k)) {
if (calorimeterTracks->At(k)->doesTrackEndAbruptly()) {
nIsInelastic++;
}
else nIsNotInelastic++;
}
}
tracksRemovedDueToNuclearInteractions += nIsInelastic;
cout << "Of these, " << nIsInelastic << " end abruptly and " << nIsNotInelastic << " does not.\n";
file << energy << " " << kEventsPerRun << " " << nTracksBefore << " " << nTracksAfter << " " << calorimeterTracks->GetEntries() << " " << nIsInelastic << " " << nIsNotInelastic << endl;
// calorimeterTracks->retrogradeTrackImprovement(clusters);
calorimeterTracks->Compress();
calorimeterTracks->CompressClusters();
for (Int_t j=0; j<calorimeterTracks->GetEntriesFast(); j++) {
if (!calorimeterTracks->At(j)) continue;
allTracks->appendTrack(calorimeterTracks->At(j));
tracksGivenToReconstruction++;
}
allTracks->appendClustersWithoutTrack(clusters->getClustersWithoutTrack());
cout << Form("Timing: getMCframe (%.2f sec), diffuseFrame (%.2f sec), findHits (%.2f sec), findClustersFromHits (%.2f sec), findTracks (%.2f sec)\n",
t1.RealTime(), t2.RealTime(), t3.RealTime(), t4.RealTime(), t5.RealTime());
cf->Reset();
hits->clearHits();
trackerHits->clearHits();
clusters->clearClusters();
trackerClusters->clearClusters();
calorimeterTracks->Clear();
trackerTracks->Clear();
if (breakSignal) break;
}
printf("\033[1mTrack statics for article. Clusters found in first layer (= N protons) = %d. Total number of tracks found = %d. Total number of tracks given to reconstruction = %d. Tracks removed due to bad channels = %d. Tracks removed due to nuclear interactions = %d. Tracks removed due to leaving the detector laterally = %d. Tracks removed due to collisions = %d. Sum = %d.\033[0m\n", clustersInFirstLayer, tracksTotalNumberAfterRecon, tracksGivenToReconstruction, tracksRemovedDueToBadChannels, tracksRemovedDueToNuclearInteractions, tracksRemovedDueToLeavingDetector, tracksRemovedDueToCollisions, tracksGivenToReconstruction + tracksRemovedDueToBadChannels + tracksRemovedDueToLeavingDetector + tracksRemovedDueToCollisions);
file.close();
delete cf;
delete clusters;
delete trackerClusters;
delete hits;
delete trackerHits;
delete calorimeterTracks;
delete trackerTracks;
delete di;
return allTracks;
}
Clusters * getClusters(Int_t Runs, Int_t dataType, Int_t frameType, Float_t energy) {
run_energy = energy;
DataInterface * di = new DataInterface();
Int_t nClusters = kEventsPerRun * 5 * nLayers;
Int_t nHits = kEventsPerRun * 50;
Int_t nTracks = kEventsPerRun * 2;
Bool_t breakSignal = false;
CalorimeterFrame *cf = new CalorimeterFrame();
Clusters * clusters = new Clusters(nClusters);
Clusters * trackerClusters = new Clusters(nClusters);
Clusters * allClusters = new Clusters(nClusters * Runs);
Hits * hits = new Hits(nHits);
Hits * eventIDs = new Hits(kEventsPerRun * sizeOfEventID);
Int_t eventID = -1;
Hits * trackerHits = new Hits(nHits);
TRandom3 * gRandom = new TRandom3(0);
for (Int_t i=0; i<Runs; i++) {
cout << "Finding clusters " << i*kEventsPerRun << "->" << (i+1)*kEventsPerRun << " of " << Runs * kEventsPerRun << endl;
if (dataType == kMC) {
eventID = di->getMCFrame(i, cf);
di->getEventIDs(i, eventIDs);
cf->diffuseFrame(gRandom);
hits = cf->findHits(eventID);
clusters = hits->findClustersFromHits(); // badly optimized
clusters->removeSmallClusters(2);
clusters->matchWithEventIDs(eventIDs);
eventIDs->Clear();
}
else if (dataType == kData) {
di->getDataFrame(i, cf, energy);
hits = cf->findHits();
clusters = hits->findClustersFromHits();
clusters->removeSmallClusters(2);
clusters->removeAllClustersAfterLayer(8); // bad data in layer 10 and 11
}
clusters->Compress();
if (clusters->GetEntriesFast() == 0) breakSignal = kTRUE; // to stop running
for (Int_t j=0; j<clusters->GetEntriesFast(); j++) {
allClusters->appendCluster(clusters->At(j));
}
cf->Reset();
hits->clearHits();
trackerHits->clearHits();
clusters->clearClusters();
trackerClusters->clearClusters();
if (breakSignal) break;
}
delete cf;
delete clusters;
delete trackerClusters;
delete hits;
delete trackerHits;
delete di;
return allClusters;
}
