#include "DQM/BeamMonitor/plugins/Vx3DHLTAnalyzer.h"
#include "FWCore/ServiceRegistry/interface/Service.h"
#include "FWCore/Framework/interface/LuminosityBlock.h"
#include "DataFormats/TrackerRecHit2D/interface/SiPixelRecHitCollection.h"
#include "DataFormats/TrackReco/interface/Track.h"
#include "DataFormats/TrackReco/interface/TrackFwd.h"
#include "DataFormats/VertexReco/interface/VertexFwd.h"
#include "DataFormats/VertexReco/interface/Vertex.h"
#include <TFitterMinuit.h>
Go to the source code of this file.
Functions | |
DEFINE_FWK_MODULE (Vx3DHLTAnalyzer) | |
void | Gauss3DFunc (int &, double *, double &fval, double *par, int) |
DEFINE_FWK_MODULE | ( | Vx3DHLTAnalyzer | ) |
void Gauss3DFunc | ( | int & | , |
double * | , | ||
double & | fval, | ||
double * | par, | ||
int | |||
) |
Definition at line 176 of file Vx3DHLTAnalyzer.cc.
References considerVxCovariance, counterVx, DIM, i, funct::log(), maxLongLength, maxTransRadius, pi, mathSSE::sqrt(), Vertices, VxErrCorr, ExpressReco_HICollisions_FallBack::x, xPos, ExpressReco_HICollisions_FallBack::y, yPos, z, and zPos.
Referenced by Vx3DHLTAnalyzer::MyFit().
{ double K[DIM][DIM]; // Covariance Matrix double M[DIM][DIM]; // K^-1 double det; double sumlog = 0.; // par[0] = K(0,0) --> Var[X] // par[1] = K(1,1) --> Var[Y] // par[2] = K(2,2) --> Var[Z] // par[3] = K(0,1) = K(1,0) --> Cov[X,Y] // par[4] = K(1,2) = K(2,1) --> Cov[Y,Z] --> dy/dz // par[5] = K(0,2) = K(2,0) --> Cov[X,Z] --> dx/dz // par[6] = mean x // par[7] = mean y // par[8] = mean z counterVx = 0; for (unsigned int i = 0; i < Vertices.size(); i++) { if ((std::sqrt((Vertices[i].x-xPos)*(Vertices[i].x-xPos) + (Vertices[i].y-yPos)*(Vertices[i].y-yPos)) <= maxTransRadius) && (std::fabs(Vertices[i].z-zPos) <= maxLongLength)) { if (considerVxCovariance == true) { K[0][0] = std::fabs(par[0]) + VxErrCorr*VxErrCorr * std::fabs(Vertices[i].Covariance[0][0]); K[1][1] = std::fabs(par[1]) + VxErrCorr*VxErrCorr * std::fabs(Vertices[i].Covariance[1][1]); K[2][2] = std::fabs(par[2]) + VxErrCorr*VxErrCorr * std::fabs(Vertices[i].Covariance[2][2]); K[0][1] = K[1][0] = par[3] + VxErrCorr*VxErrCorr * Vertices[i].Covariance[0][1]; K[1][2] = K[2][1] = par[4]*(std::fabs(par[2])-std::fabs(par[1])) - par[5]*par[3] + VxErrCorr*VxErrCorr * Vertices[i].Covariance[1][2]; K[0][2] = K[2][0] = par[5]*(std::fabs(par[2])-std::fabs(par[0])) - par[4]*par[3] + VxErrCorr*VxErrCorr * Vertices[i].Covariance[0][2]; } else { K[0][0] = std::fabs(par[0]); K[1][1] = std::fabs(par[1]); K[2][2] = std::fabs(par[2]); K[0][1] = K[1][0] = par[3]; K[1][2] = K[2][1] = par[4]*(std::fabs(par[2])-std::fabs(par[1])) - par[5]*par[3]; K[0][2] = K[2][0] = par[5]*(std::fabs(par[2])-std::fabs(par[0])) - par[4]*par[3]; } det = K[0][0]*(K[1][1]*K[2][2] - K[1][2]*K[1][2]) - K[0][1]*(K[0][1]*K[2][2] - K[0][2]*K[1][2]) + K[0][2]*(K[0][1]*K[1][2] - K[0][2]*K[1][1]); M[0][0] = (K[1][1]*K[2][2] - K[1][2]*K[1][2]) / det; M[1][1] = (K[0][0]*K[2][2] - K[0][2]*K[0][2]) / det; M[2][2] = (K[0][0]*K[1][1] - K[0][1]*K[0][1]) / det; M[0][1] = M[1][0] = (K[0][2]*K[1][2] - K[0][1]*K[2][2]) / det; M[1][2] = M[2][1] = (K[0][2]*K[0][1] - K[1][2]*K[0][0]) / det; M[0][2] = M[2][0] = (K[0][1]*K[1][2] - K[0][2]*K[1][1]) / det; sumlog += double(DIM)*std::log(2.*pi) + std::log(std::fabs(det)) + (M[0][0]*(Vertices[i].x-par[6])*(Vertices[i].x-par[6]) + M[1][1]*(Vertices[i].y-par[7])*(Vertices[i].y-par[7]) + M[2][2]*(Vertices[i].z-par[8])*(Vertices[i].z-par[8]) + 2.*M[0][1]*(Vertices[i].x-par[6])*(Vertices[i].y-par[7]) + 2.*M[1][2]*(Vertices[i].y-par[7])*(Vertices[i].z-par[8]) + 2.*M[0][2]*(Vertices[i].x-par[6])*(Vertices[i].z-par[8])); counterVx++; } } fval = sumlog; }