|
|
|
#include <interface/Vx3DHLTAnalyzer.h>
Description: [one line class summary]
Implementation: [Notes on implementation]
Definition at line 70 of file Vx3DHLTAnalyzer.h.
| Vx3DHLTAnalyzer::Vx3DHLTAnalyzer | ( | const edm::ParameterSet & | iConfig | ) | [explicit] |
Definition at line 38 of file Vx3DHLTAnalyzer.cc.
References convertXMLtoSQLite_cfg::fileName, edm::ParameterSet::getParameter(), GoodVertex_cfg::vertexCollection, and VxErrCorr.
{
vertexCollection = edm::InputTag("pixelVertices");
debugMode = true;
nLumiReset = 1;
dataFromFit = true;
minNentries = 35;
xRange = 2.;
xStep = 0.001;
yRange = 2.;
yStep = 0.001;
zRange = 30.;
zStep = 0.05;
VxErrCorr = 1.5;
fileName = "BeamPixelResults.txt";
vertexCollection = iConfig.getParameter<InputTag>("vertexCollection");
debugMode = iConfig.getParameter<bool>("debugMode");
nLumiReset = iConfig.getParameter<unsigned int>("nLumiReset");
dataFromFit = iConfig.getParameter<bool>("dataFromFit");
minNentries = iConfig.getParameter<unsigned int>("minNentries");
xRange = iConfig.getParameter<double>("xRange");
xStep = iConfig.getParameter<double>("xStep");
yRange = iConfig.getParameter<double>("yRange");
yStep = iConfig.getParameter<double>("yStep");
zRange = iConfig.getParameter<double>("zRange");
zStep = iConfig.getParameter<double>("zStep");
VxErrCorr = iConfig.getParameter<double>("VxErrCorr");
fileName = iConfig.getParameter<string>("fileName");
}
| Vx3DHLTAnalyzer::~Vx3DHLTAnalyzer | ( | ) |
Definition at line 70 of file Vx3DHLTAnalyzer.cc.
{
}
| void Vx3DHLTAnalyzer::analyze | ( | const edm::Event & | iEvent, |
| const edm::EventSetup & | iSetup | ||
| ) | [private, virtual] |
Implements edm::EDAnalyzer.
Definition at line 75 of file Vx3DHLTAnalyzer.cc.
References gather_cfg::cout, VertexType::Covariance, DIM, convertXMLtoSQLite_cfg::fileName, edm::Event::getByLabel(), edm::Event::getLuminosityBlock(), i, edm::EventBase::id(), edm::detail::isnan(), j, dbtoconf::out, reset(), edm::EventID::run(), convertSQLiteXML::runNumber, tmp, GoodVertex_cfg::vertexCollection, Vertices, VertexType::x, VertexType::y, and VertexType::z.
{
Handle<VertexCollection> Vx3DCollection;
iEvent.getByLabel(vertexCollection,Vx3DCollection);
unsigned int i,j;
double det;
VertexType MyVertex;
if (runNumber != iEvent.id().run())
{
reset("scratch");
runNumber = iEvent.id().run();
if (debugMode == true)
{
stringstream debugFile;
string tmp(fileName);
if (outputDebugFile.is_open() == true) outputDebugFile.close();
tmp.erase(strlen(fileName.c_str())-4,4);
debugFile << tmp.c_str() << "_Run" << iEvent.id().run() << ".txt";
outputDebugFile.open(debugFile.str().c_str(), ios::out);
outputDebugFile.close();
outputDebugFile.open(debugFile.str().c_str(), ios::app);
}
beginLuminosityBlock(iEvent.getLuminosityBlock(),iSetup);
}
else if (beginTimeOfFit != 0)
{
totalHits += HitCounter(iEvent);
for (vector<Vertex>::const_iterator it3DVx = Vx3DCollection->begin(); it3DVx != Vx3DCollection->end(); it3DVx++)
{
if ((it3DVx->isValid() == true) &&
(it3DVx->isFake() == false) &&
(it3DVx->ndof() >= minVxDoF))
{
for (i = 0; i < DIM; i++)
{
for (j = 0; j < DIM; j++)
{
MyVertex.Covariance[i][j] = it3DVx->covariance(i,j);
if (std::isnan(MyVertex.Covariance[i][j]) == true) break;
}
if (j != DIM) break;
}
det = std::fabs(MyVertex.Covariance[0][0])*(std::fabs(MyVertex.Covariance[1][1])*std::fabs(MyVertex.Covariance[2][2]) - MyVertex.Covariance[1][2]*MyVertex.Covariance[1][2]) -
MyVertex.Covariance[0][1]*(MyVertex.Covariance[0][1]*std::fabs(MyVertex.Covariance[2][2]) - MyVertex.Covariance[0][2]*MyVertex.Covariance[1][2]) +
MyVertex.Covariance[0][2]*(MyVertex.Covariance[0][1]*MyVertex.Covariance[1][2] - MyVertex.Covariance[0][2]*std::fabs(MyVertex.Covariance[1][1]));
if ((i == DIM) && (det > 0.))
{
MyVertex.x = it3DVx->x();
MyVertex.y = it3DVx->y();
MyVertex.z = it3DVx->z();
Vertices.push_back(MyVertex);
}
else if (internalDebug == true)
{
cout << "Vertex discarded !" << endl;
for (i = 0; i < DIM; i++)
for (j = 0; j < DIM; j++)
cout << "(i,j) --> " << i << "," << j << " --> " << MyVertex.Covariance[i][j] << endl;
}
Vx_X->Fill(it3DVx->x());
Vx_Y->Fill(it3DVx->y());
Vx_Z->Fill(it3DVx->z());
Vx_ZX->Fill(it3DVx->z(), it3DVx->x());
Vx_ZY->Fill(it3DVx->z(), it3DVx->y());
Vx_XY->Fill(it3DVx->x(), it3DVx->y());
}
}
}
}
| void Vx3DHLTAnalyzer::beginJob | ( | void | ) | [private, virtual] |
Reimplemented from edm::EDAnalyzer.
Definition at line 1066 of file Vx3DHLTAnalyzer.cc.
References DQMStore::book1D(), DQMStore::book2D(), DQMStore::bookFloat(), considerVxCovariance, MonitorElement::Fill(), cppFunctionSkipper::operator, pi, reset(), MonitorElement::setAxisTitle(), and DQMStore::setCurrentFolder().
{
DQMStore* dbe = 0;
dbe = Service<DQMStore>().operator->();
// ### Set internal variables ###
nBinsHistoricalPlot = 80;
nBinsWholeHistory = 3000; // Corresponds to about 20h of data taking: 20h * 60min * 60s / 23s per lumi-block = 3130
// ##############################
if ( dbe )
{
dbe->setCurrentFolder("BeamPixel");
Vx_X = dbe->book1D("vertex x", "Primary Vertex X Coordinate Distribution", int(rint(xRange/xStep)), -xRange/2., xRange/2.);
Vx_Y = dbe->book1D("vertex y", "Primary Vertex Y Coordinate Distribution", int(rint(yRange/yStep)), -yRange/2., yRange/2.);
Vx_Z = dbe->book1D("vertex z", "Primary Vertex Z Coordinate Distribution", int(rint(zRange/zStep)), -zRange/2., zRange/2.);
Vx_X->setAxisTitle("Primary Vertices X [cm]",1);
Vx_X->setAxisTitle("Entries [#]",2);
Vx_Y->setAxisTitle("Primary Vertices Y [cm]",1);
Vx_Y->setAxisTitle("Entries [#]",2);
Vx_Z->setAxisTitle("Primary Vertices Z [cm]",1);
Vx_Z->setAxisTitle("Entries [#]",2);
mXlumi = dbe->book1D("muX vs lumi", "\\mu_{x} vs. Lumisection", nBinsHistoricalPlot, 0.5, (double)nBinsHistoricalPlot+0.5);
mYlumi = dbe->book1D("muY vs lumi", "\\mu_{y} vs. Lumisection", nBinsHistoricalPlot, 0.5, (double)nBinsHistoricalPlot+0.5);
mZlumi = dbe->book1D("muZ vs lumi", "\\mu_{z} vs. Lumisection", nBinsHistoricalPlot, 0.5, (double)nBinsHistoricalPlot+0.5);
mXlumi->setAxisTitle("Lumisection [#]",1);
mXlumi->setAxisTitle("\\mu_{x} [cm]",2);
mXlumi->getTH1()->SetOption("E1");
mYlumi->setAxisTitle("Lumisection [#]",1);
mYlumi->setAxisTitle("\\mu_{y} [cm]",2);
mYlumi->getTH1()->SetOption("E1");
mZlumi->setAxisTitle("Lumisection [#]",1);
mZlumi->setAxisTitle("\\mu_{z} [cm]",2);
mZlumi->getTH1()->SetOption("E1");
sXlumi = dbe->book1D("sigmaX vs lumi", "\\sigma_{x} vs. Lumisection", nBinsHistoricalPlot, 0.5, (double)nBinsHistoricalPlot+0.5);
sYlumi = dbe->book1D("sigmaY vs lumi", "\\sigma_{y} vs. Lumisection", nBinsHistoricalPlot, 0.5, (double)nBinsHistoricalPlot+0.5);
sZlumi = dbe->book1D("sigmaZ vs lumi", "\\sigma_{z} vs. Lumisection", nBinsHistoricalPlot, 0.5, (double)nBinsHistoricalPlot+0.5);
sXlumi->setAxisTitle("Lumisection [#]",1);
sXlumi->setAxisTitle("\\sigma_{x} [cm]",2);
sXlumi->getTH1()->SetOption("E1");
sYlumi->setAxisTitle("Lumisection [#]",1);
sYlumi->setAxisTitle("\\sigma_{y} [cm]",2);
sYlumi->getTH1()->SetOption("E1");
sZlumi->setAxisTitle("Lumisection [#]",1);
sZlumi->setAxisTitle("\\sigma_{z} [cm]",2);
sZlumi->getTH1()->SetOption("E1");
dxdzlumi = dbe->book1D("dxdz vs lumi", "dX/dZ vs. Lumisection", nBinsHistoricalPlot, 0.5, (double)nBinsHistoricalPlot+0.5);
dydzlumi = dbe->book1D("dydz vs lumi", "dY/dZ vs. Lumisection", nBinsHistoricalPlot, 0.5, (double)nBinsHistoricalPlot+0.5);
dxdzlumi->setAxisTitle("Lumisection [#]",1);
dxdzlumi->setAxisTitle("dX/dZ [rad]",2);
dxdzlumi->getTH1()->SetOption("E1");
dydzlumi->setAxisTitle("Lumisection [#]",1);
dydzlumi->setAxisTitle("dY/dZ [rad]",2);
dydzlumi->getTH1()->SetOption("E1");
Vx_ZX = dbe->book2D("vertex zx", "Primary Vertex ZX Coordinate Distribution", int(rint(zRange/zStep/5.)), -zRange/2., zRange/2., int(rint(xRange/xStep/5.)), -xRange/2., xRange/2.);
Vx_ZY = dbe->book2D("vertex zy", "Primary Vertex ZY Coordinate Distribution", int(rint(zRange/zStep/5.)), -zRange/2., zRange/2., int(rint(yRange/yStep/5.)), -yRange/2., yRange/2.);
Vx_XY = dbe->book2D("vertex xy", "Primary Vertex XY Coordinate Distribution", int(rint(xRange/xStep/5.)), -xRange/2., xRange/2., int(rint(yRange/yStep/5.)), -yRange/2., yRange/2.);
Vx_ZX->setAxisTitle("Primary Vertices Z [cm]",1);
Vx_ZX->setAxisTitle("Primary Vertices X [cm]",2);
Vx_ZX->setAxisTitle("Entries [#]",3);
Vx_ZY->setAxisTitle("Primary Vertices Z [cm]",1);
Vx_ZY->setAxisTitle("Primary Vertices Y [cm]",2);
Vx_ZY->setAxisTitle("Entries [#]",3);
Vx_XY->setAxisTitle("Primary Vertices X [cm]",1);
Vx_XY->setAxisTitle("Primary Vertices Y [cm]",2);
Vx_XY->setAxisTitle("Entries [#]",3);
hitCounter = dbe->book1D("pixelHits vs lumi", "# Pixel-Hits vs. Lumisection", nBinsHistoricalPlot, 0.5, (double)nBinsHistoricalPlot+0.5);
hitCounter->setAxisTitle("Lumisection [#]",1);
hitCounter->setAxisTitle("Pixel-Hits [#]",2);
hitCounter->getTH1()->SetOption("E1");
hitCountHistory = dbe->book1D("hist pixelHits vs lumi", "History: # Pixel-Hits vs. Lumi", nBinsWholeHistory, 0.5, (double)nBinsWholeHistory+0.5);
hitCountHistory->setAxisTitle("Lumisection [#]",1);
hitCountHistory->setAxisTitle("Pixel-Hits [#]",2);
hitCountHistory->getTH1()->SetOption("E1");
goodVxCounter = dbe->book1D("good vertices vs lumi", "# Good vertices vs. Lumisection", nBinsHistoricalPlot, 0.5, (double)nBinsHistoricalPlot+0.5);
goodVxCounter->setAxisTitle("Lumisection [#]",1);
goodVxCounter->setAxisTitle("Good vertices [#]",2);
goodVxCounter->getTH1()->SetOption("E1");
goodVxCountHistory = dbe->book1D("hist good vx vs lumi", "History: # Good vx vs. Lumi", nBinsWholeHistory, 0.5, (double)nBinsWholeHistory+0.5);
goodVxCountHistory->setAxisTitle("Lumisection [#]",1);
goodVxCountHistory->setAxisTitle("Good vertices [#]",2);
goodVxCountHistory->getTH1()->SetOption("E1");
fitResults = dbe->book2D("fit results","Results of Beam Spot Fit", 2, 0., 2., 9, 0., 9.);
fitResults->setAxisTitle("Fitted Beam Spot [cm]", 1);
fitResults->setBinLabel(9, "X", 2);
fitResults->setBinLabel(8, "Y", 2);
fitResults->setBinLabel(7, "Z", 2);
fitResults->setBinLabel(6, "\\sigma_{Z}", 2);
fitResults->setBinLabel(5, "#frac{dX}{dZ}[rad]", 2);
fitResults->setBinLabel(4, "#frac{dY}{dZ}[rad]", 2);
fitResults->setBinLabel(3, "\\sigma_{X}", 2);
fitResults->setBinLabel(2, "\\sigma_{Y}", 2);
fitResults->setBinLabel(1, "Vertices", 2);
fitResults->setBinLabel(1, "Value", 1);
fitResults->setBinLabel(2, "Stat. Error", 1);
fitResults->getTH1()->SetOption("text");
dbe->setCurrentFolder("BeamPixel/EventInfo");
reportSummary = dbe->bookFloat("reportSummary");
reportSummary->Fill(0.);
reportSummaryMap = dbe->book2D("reportSummaryMap","Pixel-Vertices Beam Spot: % Good Fits", 1, 0., 1., 1, 0., 1.);
reportSummaryMap->Fill(0.5, 0.5, 0.);
dbe->setCurrentFolder("BeamPixel/EventInfo/reportSummaryContents");
// Convention for reportSummary and reportSummaryMap:
// - 0% at the moment of creation of the histogram
// - n% numberGoodFits / numberFits
}
// ### Set internal variables ###
reset("scratch");
prescaleHistory = 1;
maxLumiIntegration = 15;
minVxDoF = 4.;
// For vertex fitter without track-weight: d.o.f. = 2*NTracks - 3
// For vertex fitter with track-weight: d.o.f. = sum_NTracks(2*track_weight) - 3
internalDebug = false;
considerVxCovariance = true;
pi = 3.141592653589793238;
// ##############################
}
| void Vx3DHLTAnalyzer::beginLuminosityBlock | ( | const edm::LuminosityBlock & | lumiBlock, |
| const edm::EventSetup & | iSetup | ||
| ) | [private, virtual] |
Reimplemented from edm::EDAnalyzer.
Definition at line 787 of file Vx3DHLTAnalyzer.cc.
References edm::LuminosityBlockBase::beginTime(), edm::LuminosityBlockBase::luminosityBlock(), and edm::Timestamp::value().
{
if ((lumiCounter == 0) && (lumiBlock.luminosityBlock() > lastLumiOfFit))
{
beginTimeOfFit = lumiBlock.beginTime().value();
beginLumiOfFit = lumiBlock.luminosityBlock();
lumiCounter++;
lumiCounterHisto++;
}
else if ((lumiCounter != 0) && (lumiBlock.luminosityBlock() >= (beginLumiOfFit+lumiCounter))) { lumiCounter++; lumiCounterHisto++; }
}
| void Vx3DHLTAnalyzer::endJob | ( | void | ) | [private, virtual] |
Reimplemented from edm::EDAnalyzer.
Definition at line 1199 of file Vx3DHLTAnalyzer.cc.
References reset().
{ reset("scratch"); }
| void Vx3DHLTAnalyzer::endLuminosityBlock | ( | const edm::LuminosityBlock & | lumiBlock, |
| const edm::EventSetup & | iSetup | ||
| ) | [private, virtual] |
Reimplemented from edm::EDAnalyzer.
Definition at line 801 of file Vx3DHLTAnalyzer.cc.
References counterVx, gather_cfg::cout, edm::LuminosityBlockBase::endTime(), i, edm::LuminosityBlockBase::luminosityBlock(), reset(), convertSQLiteXML::runNumber, mathSSE::sqrt(), create_public_pileup_plots::vals, and edm::Timestamp::value().
{
stringstream histTitle;
int goodData;
unsigned int nParams = 9;
if ((lumiCounter%nLumiReset == 0) && (nLumiReset != 0) && (beginTimeOfFit != 0) && (runNumber != 0))
{
endTimeOfFit = lumiBlock.endTime().value();
endLumiOfFit = lumiBlock.luminosityBlock();
lastLumiOfFit = endLumiOfFit;
vector<double> vals;
hitCounter->ShiftFillLast((double)totalHits, std::sqrt((double)totalHits), nLumiReset);
if (lastLumiOfFit % prescaleHistory == 0)
{
hitCountHistory->getTH1()->SetBinContent(lastLumiOfFit, (double)totalHits);
hitCountHistory->getTH1()->SetBinError(lastLumiOfFit, std::sqrt((double)totalHits));
}
if (dataFromFit == true)
{
vector<double> fitResults;
fitResults.push_back(Vx_X->getTH1()->GetRMS()*Vx_X->getTH1()->GetRMS());
fitResults.push_back(Vx_Y->getTH1()->GetRMS()*Vx_Y->getTH1()->GetRMS());
fitResults.push_back(Vx_Z->getTH1()->GetRMS()*Vx_Z->getTH1()->GetRMS());
fitResults.push_back(0.0);
fitResults.push_back(0.0);
fitResults.push_back(0.0);
fitResults.push_back(Vx_X->getTH1()->GetMean());
fitResults.push_back(Vx_Y->getTH1()->GetMean());
fitResults.push_back(Vx_Z->getTH1()->GetMean());
for (unsigned int i = 0; i < nParams; i++) fitResults.push_back(0.0);
goodData = MyFit(&fitResults);
if (internalDebug == true)
{
cout << "goodData --> " << goodData << endl;
cout << "Used vertices --> " << counterVx << endl;
cout << "var x --> " << fitResults[0] << " +/- " << fitResults[0+nParams] << endl;
cout << "var y --> " << fitResults[1] << " +/- " << fitResults[1+nParams] << endl;
cout << "var z --> " << fitResults[2] << " +/- " << fitResults[2+nParams] << endl;
cout << "cov xy --> " << fitResults[3] << " +/- " << fitResults[3+nParams] << endl;
cout << "dydz --> " << fitResults[4] << " +/- " << fitResults[4+nParams] << endl;
cout << "dxdz --> " << fitResults[5] << " +/- " << fitResults[5+nParams] << endl;
cout << "mean x --> " << fitResults[6] << " +/- " << fitResults[6+nParams] << endl;
cout << "mean y --> " << fitResults[7] << " +/- " << fitResults[7+nParams] << endl;
cout << "mean z --> " << fitResults[8] << " +/- " << fitResults[8+nParams] << endl;
}
if (goodData == 0)
{
vals.push_back(fitResults[6]);
vals.push_back(fitResults[7]);
vals.push_back(fitResults[8]);
vals.push_back(std::sqrt(std::fabs(fitResults[2])));
vals.push_back(fitResults[5]);
vals.push_back(fitResults[4]);
vals.push_back(std::sqrt(std::fabs(fitResults[0])));
vals.push_back(std::sqrt(std::fabs(fitResults[1])));
vals.push_back(powf(fitResults[6+nParams],2.));
vals.push_back(powf(fitResults[7+nParams],2.));
vals.push_back(powf(fitResults[8+nParams],2.));
vals.push_back(powf(std::fabs(fitResults[2+nParams]) / (2.*std::sqrt(std::fabs(fitResults[2]))),2.));
vals.push_back(powf(fitResults[5+nParams],2.));
vals.push_back(powf(fitResults[4+nParams],2.));
vals.push_back(powf(std::fabs(fitResults[0+nParams]) / (2.*std::sqrt(std::fabs(fitResults[0]))),2.));
vals.push_back(powf(std::fabs(fitResults[1+nParams]) / (2.*std::sqrt(std::fabs(fitResults[1]))),2.));
}
else for (unsigned int i = 0; i < 8*2; i++) vals.push_back(0.0);
fitResults.clear();
}
else
{
counterVx = Vx_X->getTH1F()->GetEntries();
if (Vx_X->getTH1F()->GetEntries() >= minNentries)
{
goodData = 0;
vals.push_back(Vx_X->getTH1F()->GetMean());
vals.push_back(Vx_Y->getTH1F()->GetMean());
vals.push_back(Vx_Z->getTH1F()->GetMean());
vals.push_back(Vx_Z->getTH1F()->GetRMS());
vals.push_back(0.0);
vals.push_back(0.0);
vals.push_back(Vx_X->getTH1F()->GetRMS());
vals.push_back(Vx_Y->getTH1F()->GetRMS());
vals.push_back(powf(Vx_X->getTH1F()->GetMeanError(),2.));
vals.push_back(powf(Vx_Y->getTH1F()->GetMeanError(),2.));
vals.push_back(powf(Vx_Z->getTH1F()->GetMeanError(),2.));
vals.push_back(powf(Vx_Z->getTH1F()->GetRMSError(),2.));
vals.push_back(0.0);
vals.push_back(0.0);
vals.push_back(powf(Vx_X->getTH1F()->GetRMSError(),2.));
vals.push_back(powf(Vx_Y->getTH1F()->GetRMSError(),2.));
}
else
{
goodData = -2;
for (unsigned int i = 0; i < 8*2; i++) vals.push_back(0.0);
}
}
// vals[0] = X0
// vals[1] = Y0
// vals[2] = Z0
// vals[3] = sigmaZ0
// vals[4] = dxdz
// vals[5] = dydz
// vals[6] = BeamWidthX
// vals[7] = BeamWidthY
// vals[8] = err^2 X0
// vals[9] = err^2 Y0
// vals[10] = err^2 Z0
// vals[11] = err^2 sigmaZ0
// vals[12] = err^2 dxdz
// vals[13] = err^2 dydz
// vals[14] = err^2 BeamWidthX
// vals[15] = err^2 BeamWidthY
// "goodData" CODE:
// 0 == OK --> Reset
// -2 == NO OK - not enough "minNentries" --> Wait for more lumisections
// Any other number == NO OK --> Reset
numberFits++;
if (goodData == 0)
{
writeToFile(&vals, beginTimeOfFit, endTimeOfFit, beginLumiOfFit, endLumiOfFit, 3);
if ((internalDebug == true) && (outputDebugFile.is_open() == true)) outputDebugFile << "Used vertices: " << counterVx << endl;
numberGoodFits++;
histTitle << "Fitted Beam Spot [cm] (Lumi start: " << beginLumiOfFit << " - Lumi end: " << endLumiOfFit << ")";
if (lumiCounterHisto >= maxLumiIntegration) reset("whole");
else reset("partial");
}
else
{
writeToFile(&vals, beginTimeOfFit, endTimeOfFit, beginLumiOfFit, endLumiOfFit, -1);
if ((internalDebug == true) && (outputDebugFile.is_open() == true)) outputDebugFile << "Used vertices: " << counterVx << endl;
if (goodData == -2)
{
histTitle << "Fitted Beam Spot [cm] (not enough statistics)";
if (lumiCounter >= maxLumiIntegration) reset("whole");
else reset("hitCounter");
}
else
{
histTitle << "Fitted Beam Spot [cm] (problems)";
if (lumiCounterHisto >= maxLumiIntegration) reset("whole");
else reset("partial");
counterVx = 0;
}
}
reportSummary->Fill(numberFits != 0 ? (double)numberGoodFits/(double)numberFits : 0.0);
reportSummaryMap->Fill(0.5, 0.5, numberFits != 0 ? (double)numberGoodFits/(double)numberFits : 0.0);
fitResults->setAxisTitle(histTitle.str().c_str(), 1);
fitResults->setBinContent(1, 9, vals[0]);
fitResults->setBinContent(1, 8, vals[1]);
fitResults->setBinContent(1, 7, vals[2]);
fitResults->setBinContent(1, 6, vals[3]);
fitResults->setBinContent(1, 5, vals[4]);
fitResults->setBinContent(1, 4, vals[5]);
fitResults->setBinContent(1, 3, vals[6]);
fitResults->setBinContent(1, 2, vals[7]);
fitResults->setBinContent(1, 1, counterVx);
fitResults->setBinContent(2, 9, std::sqrt(vals[8]));
fitResults->setBinContent(2, 8, std::sqrt(vals[9]));
fitResults->setBinContent(2, 7, std::sqrt(vals[10]));
fitResults->setBinContent(2, 6, std::sqrt(vals[11]));
fitResults->setBinContent(2, 5, std::sqrt(vals[12]));
fitResults->setBinContent(2, 4, std::sqrt(vals[13]));
fitResults->setBinContent(2, 3, std::sqrt(vals[14]));
fitResults->setBinContent(2, 2, std::sqrt(vals[15]));
fitResults->setBinContent(2, 1, std::sqrt(counterVx));
// Linear fit to the historical plots
TF1* myLinFit = new TF1("myLinFit", "[0] + [1]*x", mXlumi->getTH1()->GetXaxis()->GetXmin(), mXlumi->getTH1()->GetXaxis()->GetXmax());
myLinFit->SetLineColor(2);
myLinFit->SetLineWidth(2);
myLinFit->SetParName(0,"Intercept");
myLinFit->SetParName(1,"Slope");
mXlumi->ShiftFillLast(vals[0], std::sqrt(vals[8]), nLumiReset);
myLinFit->SetParameter(0, mXlumi->getTH1()->GetMean(2));
myLinFit->SetParameter(1, 0.0);
mXlumi->getTH1()->Fit("myLinFit","QR");
mYlumi->ShiftFillLast(vals[1], std::sqrt(vals[9]), nLumiReset);
myLinFit->SetParameter(0, mYlumi->getTH1()->GetMean(2));
myLinFit->SetParameter(1, 0.0);
mYlumi->getTH1()->Fit("myLinFit","QR");
mZlumi->ShiftFillLast(vals[2], std::sqrt(vals[10]), nLumiReset);
myLinFit->SetParameter(0, mZlumi->getTH1()->GetMean(2));
myLinFit->SetParameter(1, 0.0);
mZlumi->getTH1()->Fit("myLinFit","QR");
sXlumi->ShiftFillLast(vals[6], std::sqrt(vals[14]), nLumiReset);
myLinFit->SetParameter(0, sXlumi->getTH1()->GetMean(2));
myLinFit->SetParameter(1, 0.0);
sXlumi->getTH1()->Fit("myLinFit","QR");
sYlumi->ShiftFillLast(vals[7], std::sqrt(vals[15]), nLumiReset);
myLinFit->SetParameter(0, sYlumi->getTH1()->GetMean(2));
myLinFit->SetParameter(1, 0.0);
sYlumi->getTH1()->Fit("myLinFit","QR");
sZlumi->ShiftFillLast(vals[3], std::sqrt(vals[11]), nLumiReset);
myLinFit->SetParameter(0, sZlumi->getTH1()->GetMean(2));
myLinFit->SetParameter(1, 0.0);
sZlumi->getTH1()->Fit("myLinFit","QR");
dxdzlumi->ShiftFillLast(vals[4], std::sqrt(vals[12]), nLumiReset);
myLinFit->SetParameter(0, dxdzlumi->getTH1()->GetMean(2));
myLinFit->SetParameter(1, 0.0);
dxdzlumi->getTH1()->Fit("myLinFit","QR");
dydzlumi->ShiftFillLast(vals[5], std::sqrt(vals[13]), nLumiReset);
myLinFit->SetParameter(0, dydzlumi->getTH1()->GetMean(2));
myLinFit->SetParameter(1, 0.0);
dydzlumi->getTH1()->Fit("myLinFit","QR");
goodVxCounter->ShiftFillLast((double)counterVx, std::sqrt((double)counterVx), nLumiReset);
myLinFit->SetParameter(0, goodVxCounter->getTH1()->GetMean(2));
myLinFit->SetParameter(1, 0.0);
goodVxCounter->getTH1()->Fit("myLinFit","QR");
if (lastLumiOfFit % prescaleHistory == 0)
{
goodVxCountHistory->getTH1()->SetBinContent(lastLumiOfFit, (double)counterVx);
goodVxCountHistory->getTH1()->SetBinError(lastLumiOfFit, std::sqrt((double)counterVx));
}
delete myLinFit;
vals.clear();
}
else if (nLumiReset == 0)
{
histTitle << "Fitted Beam Spot [cm] (no ongoing fits)";
fitResults->setAxisTitle(histTitle.str().c_str(), 1);
reportSummaryMap->Fill(0.5, 0.5, 1.0);
hitCounter->ShiftFillLast(totalHits, std::sqrt(totalHits), 1);
reset("nohisto");
}
}
| char * Vx3DHLTAnalyzer::formatTime | ( | const time_t & | t | ) | [private, virtual] |
Definition at line 168 of file Vx3DHLTAnalyzer.cc.
{
static char ts[25];
strftime(ts, sizeof(ts), "%Y.%m.%d %H:%M:%S %Z", gmtime(&t));
return ts;
}
| unsigned int Vx3DHLTAnalyzer::HitCounter | ( | const edm::Event & | iEvent | ) | [private, virtual] |
Definition at line 154 of file Vx3DHLTAnalyzer.cc.
References edm::Event::getByLabel(), h, and j.
{
edm::Handle<SiPixelRecHitCollection> rechitspixel;
iEvent.getByLabel("siPixelRecHits",rechitspixel);
unsigned int counter = 0;
for (SiPixelRecHitCollection::const_iterator j = rechitspixel->begin(); j != rechitspixel->end(); j++)
for (edmNew::DetSet<SiPixelRecHit>::const_iterator h = j->begin(); h != j->end(); h++) counter += h->cluster()->size();
return counter;
}
| int Vx3DHLTAnalyzer::MyFit | ( | std::vector< double > * | vals | ) | [private, virtual] |
Definition at line 246 of file Vx3DHLTAnalyzer.cc.
References fitWZ::arglist, counterVx, gather_cfg::cout, alignCSCRings::e, Gauss3DFunc(), i, edm::detail::isnan(), j, maxLongLength, maxTransRadius, NULL, mathSSE::sqrt(), xPos, yPos, and zPos.
{
// RETURN CODE:
// 0 == OK
// -2 == NO OK - not enough "minNentries"
// Any other number == NO OK
unsigned int nParams = 9;
if ((vals != NULL) && (vals->size() == nParams*2))
{
double nSigmaXY = 100.;
double nSigmaZ = 100.;
double varFactor = 4./25.; // Take into account the difference between the RMS and sigma (RMS usually greater than sigma)
double parDistanceXY = 0.005; // Unit: [cm]
double parDistanceZ = 0.5; // Unit: [cm]
double parDistanceddZ = 1e-3; // Unit: [rad]
double parDistanceCxy = 1e-5; // Unit: [cm^2]
double bestEdm = 1e-1;
const unsigned int trials = 4;
double largerDist[trials] = {0.1, 5., 10., 100.};
double covxz,covyz,det;
double deltaMean;
int bestMovementX = 1;
int bestMovementY = 1;
int bestMovementZ = 1;
int goodData;
double arglist[2];
double amin,errdef,edm;
int nvpar,nparx;
vector<double>::const_iterator it = vals->begin();
TFitterMinuit* Gauss3D = new TFitterMinuit(nParams);
if (internalDebug == true) Gauss3D->SetPrintLevel(3);
else Gauss3D->SetPrintLevel(0);
Gauss3D->SetFCN(Gauss3DFunc);
arglist[0] = 10000; // Max number of function calls
arglist[1] = 1e-9; // Tolerance on likelihood
if (internalDebug == true) cout << "\n@@@ START FITTING @@@" << endl;
// @@@ Fit at X-deltaMean | X | X+deltaMean @@@
bestEdm = 1.;
for (int i = 0; i < 3; i++)
{
deltaMean = (double(i)-1.)*std::sqrt((*(it+0))*varFactor);
if (internalDebug == true) cout << "deltaMean --> " << deltaMean << endl;
Gauss3D->Clear();
// arg3 - first guess of parameter value
// arg4 - step of the parameter
Gauss3D->SetParameter(0,"var x ", *(it+0)*varFactor, parDistanceXY*parDistanceXY, 0., 0.);
Gauss3D->SetParameter(1,"var y ", *(it+1)*varFactor, parDistanceXY*parDistanceXY, 0., 0.);
Gauss3D->SetParameter(2,"var z ", *(it+2), parDistanceZ*parDistanceZ, 0., 0.);
Gauss3D->SetParameter(3,"cov xy", *(it+3), parDistanceCxy, 0., 0.);
Gauss3D->SetParameter(4,"dydz ", *(it+4), parDistanceddZ, 0., 0.);
Gauss3D->SetParameter(5,"dxdz ", *(it+5), parDistanceddZ, 0., 0.);
Gauss3D->SetParameter(6,"mean x", *(it+6)+deltaMean, parDistanceXY, 0., 0.);
Gauss3D->SetParameter(7,"mean y", *(it+7), parDistanceXY, 0., 0.);
Gauss3D->SetParameter(8,"mean z", *(it+8), parDistanceZ, 0., 0.);
// Set the central positions of the centroid for vertex rejection
xPos = Gauss3D->GetParameter(6);
yPos = Gauss3D->GetParameter(7);
zPos = Gauss3D->GetParameter(8);
// Set dimensions of the centroid for vertex rejection
maxTransRadius = nSigmaXY * std::sqrt(std::fabs(Gauss3D->GetParameter(0)) + std::fabs(Gauss3D->GetParameter(1))) / 2.;
maxLongLength = nSigmaZ * std::sqrt(std::fabs(Gauss3D->GetParameter(2)));
goodData = Gauss3D->ExecuteCommand("MIGRAD",arglist,2);
Gauss3D->GetStats(amin, edm, errdef, nvpar, nparx);
if (counterVx < minNentries) goodData = -2;
else if (std::isnan(edm) == true) goodData = -1;
else for (unsigned int j = 0; j < nParams; j++) if (std::isnan(Gauss3D->GetParError(j)) == true) { goodData = -1; break; }
if (goodData == 0)
{
covyz = Gauss3D->GetParameter(4)*(std::fabs(Gauss3D->GetParameter(2))-std::fabs(Gauss3D->GetParameter(1))) - Gauss3D->GetParameter(5)*Gauss3D->GetParameter(3);
covxz = Gauss3D->GetParameter(5)*(std::fabs(Gauss3D->GetParameter(2))-std::fabs(Gauss3D->GetParameter(0))) - Gauss3D->GetParameter(4)*Gauss3D->GetParameter(3);
det = std::fabs(Gauss3D->GetParameter(0)) * (std::fabs(Gauss3D->GetParameter(1))*std::fabs(Gauss3D->GetParameter(2)) - covyz*covyz) -
Gauss3D->GetParameter(3) * (Gauss3D->GetParameter(3)*std::fabs(Gauss3D->GetParameter(2)) - covxz*covyz) +
covxz * (Gauss3D->GetParameter(3)*covyz - covxz*std::fabs(Gauss3D->GetParameter(1)));
if (det < 0.) { goodData = -1; if (internalDebug == true) cout << "Negative determinant !" << endl; }
}
if ((goodData == 0) && (std::fabs(edm) < bestEdm)) { bestEdm = edm; bestMovementX = i; }
}
if (internalDebug == true) cout << "Found bestMovementX --> " << bestMovementX << endl;
// @@@ Fit at Y-deltaMean | Y | Y+deltaMean @@@
bestEdm = 1.;
for (int i = 0; i < 3; i++)
{
deltaMean = (double(i)-1.)*std::sqrt((*(it+1))*varFactor);
if (internalDebug == true)
{
cout << "deltaMean --> " << deltaMean << endl;
cout << "deltaMean X --> " << (double(bestMovementX)-1.)*std::sqrt((*(it+0))*varFactor) << endl;
}
Gauss3D->Clear();
// arg3 - first guess of parameter value
// arg4 - step of the parameter
Gauss3D->SetParameter(0,"var x ", *(it+0)*varFactor, parDistanceXY*parDistanceXY, 0., 0.);
Gauss3D->SetParameter(1,"var y ", *(it+1)*varFactor, parDistanceXY*parDistanceXY, 0., 0.);
Gauss3D->SetParameter(2,"var z ", *(it+2), parDistanceZ*parDistanceZ, 0., 0.);
Gauss3D->SetParameter(3,"cov xy", *(it+3), parDistanceCxy, 0., 0.);
Gauss3D->SetParameter(4,"dydz ", *(it+4), parDistanceddZ, 0., 0.);
Gauss3D->SetParameter(5,"dxdz ", *(it+5), parDistanceddZ, 0., 0.);
Gauss3D->SetParameter(6,"mean x", *(it+6)+(double(bestMovementX)-1.)*std::sqrt((*(it+0))*varFactor), parDistanceXY, 0., 0.);
Gauss3D->SetParameter(7,"mean y", *(it+7)+deltaMean, parDistanceXY, 0., 0.);
Gauss3D->SetParameter(8,"mean z", *(it+8), parDistanceZ, 0., 0.);
// Set the central positions of the centroid for vertex rejection
xPos = Gauss3D->GetParameter(6);
yPos = Gauss3D->GetParameter(7);
zPos = Gauss3D->GetParameter(8);
// Set dimensions of the centroid for vertex rejection
maxTransRadius = nSigmaXY * std::sqrt(std::fabs(Gauss3D->GetParameter(0)) + std::fabs(Gauss3D->GetParameter(1))) / 2.;
maxLongLength = nSigmaZ * std::sqrt(std::fabs(Gauss3D->GetParameter(2)));
goodData = Gauss3D->ExecuteCommand("MIGRAD",arglist,2);
Gauss3D->GetStats(amin, edm, errdef, nvpar, nparx);
if (counterVx < minNentries) goodData = -2;
else if (std::isnan(edm) == true) goodData = -1;
else for (unsigned int j = 0; j < nParams; j++) if (std::isnan(Gauss3D->GetParError(j)) == true) { goodData = -1; break; }
if (goodData == 0)
{
covyz = Gauss3D->GetParameter(4)*(std::fabs(Gauss3D->GetParameter(2))-std::fabs(Gauss3D->GetParameter(1))) - Gauss3D->GetParameter(5)*Gauss3D->GetParameter(3);
covxz = Gauss3D->GetParameter(5)*(std::fabs(Gauss3D->GetParameter(2))-std::fabs(Gauss3D->GetParameter(0))) - Gauss3D->GetParameter(4)*Gauss3D->GetParameter(3);
det = std::fabs(Gauss3D->GetParameter(0)) * (std::fabs(Gauss3D->GetParameter(1))*std::fabs(Gauss3D->GetParameter(2)) - covyz*covyz) -
Gauss3D->GetParameter(3) * (Gauss3D->GetParameter(3)*std::fabs(Gauss3D->GetParameter(2)) - covxz*covyz) +
covxz * (Gauss3D->GetParameter(3)*covyz - covxz*std::fabs(Gauss3D->GetParameter(1)));
if (det < 0.) { goodData = -1; if (internalDebug == true) cout << "Negative determinant !" << endl; }
}
if ((goodData == 0) && (std::fabs(edm) < bestEdm)) { bestEdm = edm; bestMovementY = i; }
}
if (internalDebug == true) cout << "Found bestMovementY --> " << bestMovementY << endl;
// @@@ Fit at Z-deltaMean | Z | Z+deltaMean @@@
bestEdm = 1.;
for (int i = 0; i < 3; i++)
{
deltaMean = (double(i)-1.)*std::sqrt(*(it+2));
if (internalDebug == true)
{
cout << "deltaMean --> " << deltaMean << endl;
cout << "deltaMean X --> " << (double(bestMovementX)-1.)*std::sqrt((*(it+0))*varFactor) << endl;
cout << "deltaMean Y --> " << (double(bestMovementY)-1.)*std::sqrt((*(it+1))*varFactor) << endl;
}
Gauss3D->Clear();
// arg3 - first guess of parameter value
// arg4 - step of the parameter
Gauss3D->SetParameter(0,"var x ", *(it+0)*varFactor, parDistanceXY*parDistanceXY, 0., 0.);
Gauss3D->SetParameter(1,"var y ", *(it+1)*varFactor, parDistanceXY*parDistanceXY, 0., 0.);
Gauss3D->SetParameter(2,"var z ", *(it+2), parDistanceZ*parDistanceZ, 0., 0.);
Gauss3D->SetParameter(3,"cov xy", *(it+3), parDistanceCxy, 0., 0.);
Gauss3D->SetParameter(4,"dydz ", *(it+4), parDistanceddZ, 0., 0.);
Gauss3D->SetParameter(5,"dxdz ", *(it+5), parDistanceddZ, 0., 0.);
Gauss3D->SetParameter(6,"mean x", *(it+6)+(double(bestMovementX)-1.)*std::sqrt((*(it+0))*varFactor), parDistanceXY, 0., 0.);
Gauss3D->SetParameter(7,"mean y", *(it+7)+(double(bestMovementY)-1.)*std::sqrt((*(it+1))*varFactor), parDistanceXY, 0., 0.);
Gauss3D->SetParameter(8,"mean z", *(it+8)+deltaMean, parDistanceZ, 0., 0.);
// Set the central positions of the centroid for vertex rejection
xPos = Gauss3D->GetParameter(6);
yPos = Gauss3D->GetParameter(7);
zPos = Gauss3D->GetParameter(8);
// Set dimensions of the centroid for vertex rejection
maxTransRadius = nSigmaXY * std::sqrt(std::fabs(Gauss3D->GetParameter(0)) + std::fabs(Gauss3D->GetParameter(1))) / 2.;
maxLongLength = nSigmaZ * std::sqrt(std::fabs(Gauss3D->GetParameter(2)));
goodData = Gauss3D->ExecuteCommand("MIGRAD",arglist,2);
Gauss3D->GetStats(amin, edm, errdef, nvpar, nparx);
if (counterVx < minNentries) goodData = -2;
else if (std::isnan(edm) == true) goodData = -1;
else for (unsigned int j = 0; j < nParams; j++) if (std::isnan(Gauss3D->GetParError(j)) == true) { goodData = -1; break; }
if (goodData == 0)
{
covyz = Gauss3D->GetParameter(4)*(std::fabs(Gauss3D->GetParameter(2))-std::fabs(Gauss3D->GetParameter(1))) - Gauss3D->GetParameter(5)*Gauss3D->GetParameter(3);
covxz = Gauss3D->GetParameter(5)*(std::fabs(Gauss3D->GetParameter(2))-std::fabs(Gauss3D->GetParameter(0))) - Gauss3D->GetParameter(4)*Gauss3D->GetParameter(3);
det = std::fabs(Gauss3D->GetParameter(0)) * (std::fabs(Gauss3D->GetParameter(1))*std::fabs(Gauss3D->GetParameter(2)) - covyz*covyz) -
Gauss3D->GetParameter(3) * (Gauss3D->GetParameter(3)*std::fabs(Gauss3D->GetParameter(2)) - covxz*covyz) +
covxz * (Gauss3D->GetParameter(3)*covyz - covxz*std::fabs(Gauss3D->GetParameter(1)));
if (det < 0.) { goodData = -1; if (internalDebug == true) cout << "Negative determinant !" << endl; }
}
if ((goodData == 0) && (std::fabs(edm) < bestEdm)) { bestEdm = edm; bestMovementZ = i; }
}
if (internalDebug == true) cout << "Found bestMovementZ --> " << bestMovementZ << endl;
Gauss3D->Clear();
// @@@ FINAL FIT @@@
// arg3 - first guess of parameter value
// arg4 - step of the parameter
Gauss3D->SetParameter(0,"var x ", *(it+0)*varFactor, parDistanceXY*parDistanceXY, 0., 0.);
Gauss3D->SetParameter(1,"var y ", *(it+1)*varFactor, parDistanceXY*parDistanceXY, 0., 0.);
Gauss3D->SetParameter(2,"var z ", *(it+2), parDistanceZ*parDistanceZ, 0., 0.);
Gauss3D->SetParameter(3,"cov xy", *(it+3), parDistanceCxy, 0., 0.);
Gauss3D->SetParameter(4,"dydz ", *(it+4), parDistanceddZ, 0., 0.);
Gauss3D->SetParameter(5,"dxdz ", *(it+5), parDistanceddZ, 0., 0.);
Gauss3D->SetParameter(6,"mean x", *(it+6)+(double(bestMovementX)-1.)*std::sqrt((*(it+0))*varFactor), parDistanceXY, 0., 0.);
Gauss3D->SetParameter(7,"mean y", *(it+7)+(double(bestMovementY)-1.)*std::sqrt((*(it+1))*varFactor), parDistanceXY, 0., 0.);
Gauss3D->SetParameter(8,"mean z", *(it+8)+(double(bestMovementZ)-1.)*std::sqrt(*(it+2)), parDistanceZ, 0., 0.);
// Set the central positions of the centroid for vertex rejection
xPos = Gauss3D->GetParameter(6);
yPos = Gauss3D->GetParameter(7);
zPos = Gauss3D->GetParameter(8);
// Set dimensions of the centroid for vertex rejection
maxTransRadius = nSigmaXY * std::sqrt(std::fabs(Gauss3D->GetParameter(0)) + std::fabs(Gauss3D->GetParameter(1))) / 2.;
maxLongLength = nSigmaZ * std::sqrt(std::fabs(Gauss3D->GetParameter(2)));
goodData = Gauss3D->ExecuteCommand("MIGRAD",arglist,2);
Gauss3D->GetStats(amin, edm, errdef, nvpar, nparx);
if (counterVx < minNentries) goodData = -2;
else if (std::isnan(edm) == true) goodData = -1;
else for (unsigned int j = 0; j < nParams; j++) if (std::isnan(Gauss3D->GetParError(j)) == true) { goodData = -1; break; }
if (goodData == 0)
{
covyz = Gauss3D->GetParameter(4)*(std::fabs(Gauss3D->GetParameter(2))-std::fabs(Gauss3D->GetParameter(1))) - Gauss3D->GetParameter(5)*Gauss3D->GetParameter(3);
covxz = Gauss3D->GetParameter(5)*(std::fabs(Gauss3D->GetParameter(2))-std::fabs(Gauss3D->GetParameter(0))) - Gauss3D->GetParameter(4)*Gauss3D->GetParameter(3);
det = std::fabs(Gauss3D->GetParameter(0)) * (std::fabs(Gauss3D->GetParameter(1))*std::fabs(Gauss3D->GetParameter(2)) - covyz*covyz) -
Gauss3D->GetParameter(3) * (Gauss3D->GetParameter(3)*std::fabs(Gauss3D->GetParameter(2)) - covxz*covyz) +
covxz * (Gauss3D->GetParameter(3)*covyz - covxz*std::fabs(Gauss3D->GetParameter(1)));
if (det < 0.) { goodData = -1; if (internalDebug == true) cout << "Negative determinant !" << endl; }
}
// @@@ FIT WITH DIFFERENT PARAMETER DISTANCES@@@
// arg3 - first guess of parameter value
// arg4 - step of the parameter
for (unsigned int i = 0; i < trials; i++)
{
if ((goodData != 0) && (goodData != -2))
{
Gauss3D->Clear();
if (internalDebug == true) cout << "FIT WITH DIFFERENT PARAMETER DISTANCES - STEP " << i+1 << endl;
Gauss3D->SetParameter(0,"var x ", *(it+0)*varFactor, parDistanceXY*parDistanceXY * largerDist[i], 0, 0);
Gauss3D->SetParameter(1,"var y ", *(it+1)*varFactor, parDistanceXY*parDistanceXY * largerDist[i], 0, 0);
Gauss3D->SetParameter(2,"var z ", *(it+2), parDistanceZ*parDistanceZ * largerDist[i], 0, 0);
Gauss3D->SetParameter(3,"cov xy", *(it+3), parDistanceCxy * largerDist[i], 0, 0);
Gauss3D->SetParameter(4,"dydz ", *(it+4), parDistanceddZ * largerDist[i], 0, 0);
Gauss3D->SetParameter(5,"dxdz ", *(it+5), parDistanceddZ * largerDist[i], 0, 0);
Gauss3D->SetParameter(6,"mean x", *(it+6)+(double(bestMovementX)-1.)*std::sqrt((*(it+0))*varFactor), parDistanceXY * largerDist[i], 0, 0);
Gauss3D->SetParameter(7,"mean y", *(it+7)+(double(bestMovementY)-1.)*std::sqrt((*(it+1))*varFactor), parDistanceXY * largerDist[i], 0, 0);
Gauss3D->SetParameter(8,"mean z", *(it+8)+(double(bestMovementZ)-1.)*std::sqrt(*(it+2)), parDistanceZ * largerDist[i], 0, 0);
// Set the central positions of the centroid for vertex rejection
xPos = Gauss3D->GetParameter(6);
yPos = Gauss3D->GetParameter(7);
zPos = Gauss3D->GetParameter(8);
// Set dimensions of the centroid for vertex rejection
maxTransRadius = nSigmaXY * std::sqrt(std::fabs(Gauss3D->GetParameter(0)) + std::fabs(Gauss3D->GetParameter(1))) / 2.;
maxLongLength = nSigmaZ * std::sqrt(std::fabs(Gauss3D->GetParameter(2)));
goodData = Gauss3D->ExecuteCommand("MIGRAD",arglist,2);
Gauss3D->GetStats(amin, edm, errdef, nvpar, nparx);
if (counterVx < minNentries) goodData = -2;
else if (std::isnan(edm) == true) goodData = -1;
else for (unsigned int j = 0; j < nParams; j++) if (std::isnan(Gauss3D->GetParError(j)) == true) { goodData = -1; break; }
if (goodData == 0)
{
covyz = Gauss3D->GetParameter(4)*(std::fabs(Gauss3D->GetParameter(2))-std::fabs(Gauss3D->GetParameter(1))) - Gauss3D->GetParameter(5)*Gauss3D->GetParameter(3);
covxz = Gauss3D->GetParameter(5)*(std::fabs(Gauss3D->GetParameter(2))-std::fabs(Gauss3D->GetParameter(0))) - Gauss3D->GetParameter(4)*Gauss3D->GetParameter(3);
det = std::fabs(Gauss3D->GetParameter(0)) * (std::fabs(Gauss3D->GetParameter(1))*std::fabs(Gauss3D->GetParameter(2)) - covyz*covyz) -
Gauss3D->GetParameter(3) * (Gauss3D->GetParameter(3)*std::fabs(Gauss3D->GetParameter(2)) - covxz*covyz) +
covxz * (Gauss3D->GetParameter(3)*covyz - covxz*std::fabs(Gauss3D->GetParameter(1)));
if (det < 0.) { goodData = -1; if (internalDebug == true) cout << "Negative determinant !" << endl; }
}
} else break;
}
if (goodData == 0)
for (unsigned int i = 0; i < nParams; i++)
{
vals->operator[](i) = Gauss3D->GetParameter(i);
vals->operator[](i+nParams) = Gauss3D->GetParError(i);
}
delete Gauss3D;
return goodData;
}
return -1;
}
| virtual void Vx3DHLTAnalyzer::reset | ( | std::string | ResetType | ) | [private, virtual] |
| virtual void Vx3DHLTAnalyzer::writeToFile | ( | std::vector< double > * | vals, |
| edm::TimeValue_t | BeginTimeOfFit, | ||
| edm::TimeValue_t | EndTimeOfFit, | ||
| unsigned int | BeginLumiOfFit, | ||
| unsigned int | EndLumiOfFit, | ||
| int | dataType | ||
| ) | [private, virtual] |
unsigned int Vx3DHLTAnalyzer::beginLumiOfFit [private] |
Definition at line 163 of file Vx3DHLTAnalyzer.h.
Definition at line 151 of file Vx3DHLTAnalyzer.h.
bool Vx3DHLTAnalyzer::dataFromFit [private] |
Definition at line 102 of file Vx3DHLTAnalyzer.h.
bool Vx3DHLTAnalyzer::debugMode [private] |
Definition at line 100 of file Vx3DHLTAnalyzer.h.
MonitorElement* Vx3DHLTAnalyzer::dxdzlumi [private] |
Definition at line 124 of file Vx3DHLTAnalyzer.h.
MonitorElement* Vx3DHLTAnalyzer::dydzlumi [private] |
Definition at line 125 of file Vx3DHLTAnalyzer.h.
unsigned int Vx3DHLTAnalyzer::endLumiOfFit [private] |
Definition at line 164 of file Vx3DHLTAnalyzer.h.
Definition at line 152 of file Vx3DHLTAnalyzer.h.
std::string Vx3DHLTAnalyzer::fileName [private] |
Definition at line 110 of file Vx3DHLTAnalyzer.h.
MonitorElement* Vx3DHLTAnalyzer::fitResults [private] |
Definition at line 144 of file Vx3DHLTAnalyzer.h.
MonitorElement* Vx3DHLTAnalyzer::goodVxCounter [private] |
Definition at line 135 of file Vx3DHLTAnalyzer.h.
Definition at line 136 of file Vx3DHLTAnalyzer.h.
MonitorElement* Vx3DHLTAnalyzer::hitCounter [private] |
Definition at line 138 of file Vx3DHLTAnalyzer.h.
MonitorElement* Vx3DHLTAnalyzer::hitCountHistory [private] |
Definition at line 139 of file Vx3DHLTAnalyzer.h.
bool Vx3DHLTAnalyzer::internalDebug [private] |
Definition at line 167 of file Vx3DHLTAnalyzer.h.
unsigned int Vx3DHLTAnalyzer::lastLumiOfFit [private] |
Definition at line 165 of file Vx3DHLTAnalyzer.h.
unsigned int Vx3DHLTAnalyzer::lumiCounter [private] |
Definition at line 156 of file Vx3DHLTAnalyzer.h.
unsigned int Vx3DHLTAnalyzer::lumiCounterHisto [private] |
Definition at line 157 of file Vx3DHLTAnalyzer.h.
unsigned int Vx3DHLTAnalyzer::maxLumiIntegration [private] |
Definition at line 159 of file Vx3DHLTAnalyzer.h.
unsigned int Vx3DHLTAnalyzer::minNentries [private] |
Definition at line 103 of file Vx3DHLTAnalyzer.h.
double Vx3DHLTAnalyzer::minVxDoF [private] |
Definition at line 166 of file Vx3DHLTAnalyzer.h.
MonitorElement* Vx3DHLTAnalyzer::mXlumi [private] |
Definition at line 116 of file Vx3DHLTAnalyzer.h.
MonitorElement* Vx3DHLTAnalyzer::mYlumi [private] |
Definition at line 117 of file Vx3DHLTAnalyzer.h.
MonitorElement* Vx3DHLTAnalyzer::mZlumi [private] |
Definition at line 118 of file Vx3DHLTAnalyzer.h.
unsigned int Vx3DHLTAnalyzer::nBinsHistoricalPlot [private] |
Definition at line 153 of file Vx3DHLTAnalyzer.h.
unsigned int Vx3DHLTAnalyzer::nBinsWholeHistory [private] |
Definition at line 154 of file Vx3DHLTAnalyzer.h.
unsigned int Vx3DHLTAnalyzer::nLumiReset [private] |
Definition at line 101 of file Vx3DHLTAnalyzer.h.
unsigned int Vx3DHLTAnalyzer::numberFits [private] |
Definition at line 162 of file Vx3DHLTAnalyzer.h.
unsigned int Vx3DHLTAnalyzer::numberGoodFits [private] |
Definition at line 161 of file Vx3DHLTAnalyzer.h.
ofstream Vx3DHLTAnalyzer::outputDebugFile [private] |
Definition at line 150 of file Vx3DHLTAnalyzer.h.
ofstream Vx3DHLTAnalyzer::outputFile [private] |
Definition at line 149 of file Vx3DHLTAnalyzer.h.
unsigned int Vx3DHLTAnalyzer::prescaleHistory [private] |
Definition at line 160 of file Vx3DHLTAnalyzer.h.
MonitorElement* Vx3DHLTAnalyzer::reportSummary [private] |
Definition at line 141 of file Vx3DHLTAnalyzer.h.
MonitorElement* Vx3DHLTAnalyzer::reportSummaryMap [private] |
Definition at line 142 of file Vx3DHLTAnalyzer.h.
unsigned int Vx3DHLTAnalyzer::runNumber [private] |
Definition at line 155 of file Vx3DHLTAnalyzer.h.
MonitorElement* Vx3DHLTAnalyzer::sXlumi [private] |
Definition at line 120 of file Vx3DHLTAnalyzer.h.
MonitorElement* Vx3DHLTAnalyzer::sYlumi [private] |
Definition at line 121 of file Vx3DHLTAnalyzer.h.
MonitorElement* Vx3DHLTAnalyzer::sZlumi [private] |
Definition at line 122 of file Vx3DHLTAnalyzer.h.
unsigned int Vx3DHLTAnalyzer::totalHits [private] |
Definition at line 158 of file Vx3DHLTAnalyzer.h.
Definition at line 99 of file Vx3DHLTAnalyzer.h.
MonitorElement* Vx3DHLTAnalyzer::Vx_X [private] |
Definition at line 127 of file Vx3DHLTAnalyzer.h.
MonitorElement* Vx3DHLTAnalyzer::Vx_XY [private] |
Definition at line 133 of file Vx3DHLTAnalyzer.h.
MonitorElement* Vx3DHLTAnalyzer::Vx_Y [private] |
Definition at line 128 of file Vx3DHLTAnalyzer.h.
MonitorElement* Vx3DHLTAnalyzer::Vx_Z [private] |
Definition at line 129 of file Vx3DHLTAnalyzer.h.
MonitorElement* Vx3DHLTAnalyzer::Vx_ZX [private] |
Definition at line 131 of file Vx3DHLTAnalyzer.h.
MonitorElement* Vx3DHLTAnalyzer::Vx_ZY [private] |
Definition at line 132 of file Vx3DHLTAnalyzer.h.
double Vx3DHLTAnalyzer::xRange [private] |
Definition at line 104 of file Vx3DHLTAnalyzer.h.
double Vx3DHLTAnalyzer::xStep [private] |
Definition at line 105 of file Vx3DHLTAnalyzer.h.
double Vx3DHLTAnalyzer::yRange [private] |
Definition at line 106 of file Vx3DHLTAnalyzer.h.
double Vx3DHLTAnalyzer::yStep [private] |
Definition at line 107 of file Vx3DHLTAnalyzer.h.
double Vx3DHLTAnalyzer::zRange [private] |
Definition at line 108 of file Vx3DHLTAnalyzer.h.
double Vx3DHLTAnalyzer::zStep [private] |
Definition at line 109 of file Vx3DHLTAnalyzer.h.
1.7.3