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Alignment/MuonAlignmentAlgorithms/src/MuonResidualsAngleFitter.cc
204 строки
8 KB
Cms Build
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16 май 2019, 00:01
16 май 2019, 00:01
92500ad
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#include "Alignment/MuonAlignmentAlgorithms/interface/MuonResidualsAngleFitter.h" static TMinuit *MuonResidualsAngleFitter_TMinuit; void MuonResidualsAngleFitter::inform(TMinuit *tMinuit) { MuonResidualsAngleFitter_TMinuit = tMinuit; } void MuonResidualsAngleFitter_FCN(int &npar, double *gin, double &fval, double *par, int iflag) { MuonResidualsFitterFitInfo *fitinfo = (MuonResidualsFitterFitInfo *)(MuonResidualsAngleFitter_TMinuit->GetObjectFit()); MuonResidualsFitter *fitter = fitinfo->fitter(); fval = 0.; for (std::vector<double *>::const_iterator resiter = fitter->residuals_begin(); resiter != fitter->residuals_end(); ++resiter) { const double residual = (*resiter)[MuonResidualsAngleFitter::kResidual]; const double xangle = (*resiter)[MuonResidualsAngleFitter::kXAngle]; const double yangle = (*resiter)[MuonResidualsAngleFitter::kYAngle]; double center = 0.; center += par[MuonResidualsAngleFitter::kAngle]; center += par[MuonResidualsAngleFitter::kXControl] * xangle; center += par[MuonResidualsAngleFitter::kYControl] * yangle; if (fitter->residualsModel() == MuonResidualsFitter::kPureGaussian) { fval += -MuonResidualsFitter_logPureGaussian(residual, center, par[MuonResidualsAngleFitter::kSigma]); } else if (fitter->residualsModel() == MuonResidualsFitter::kPowerLawTails) { fval += -MuonResidualsFitter_logPowerLawTails( residual, center, par[MuonResidualsAngleFitter::kSigma], par[MuonResidualsAngleFitter::kGamma]); } else if (fitter->residualsModel() == MuonResidualsFitter::kROOTVoigt) { fval += -MuonResidualsFitter_logROOTVoigt( residual, center, par[MuonResidualsAngleFitter::kSigma], par[MuonResidualsAngleFitter::kGamma]); } else if (fitter->residualsModel() == MuonResidualsFitter::kGaussPowerTails) { fval += -MuonResidualsFitter_logGaussPowerTails(residual, center, par[MuonResidualsAngleFitter::kSigma]); } else { assert(false); } } } bool MuonResidualsAngleFitter::fit(Alignable *ali) { initialize_table(); // if not already initialized double sum_x = 0.; double sum_xx = 0.; int N = 0; for (std::vector<double *>::const_iterator resiter = residuals_begin(); resiter != residuals_end(); ++resiter) { const double residual = (*resiter)[kResidual]; // const double xangle = (*resiter)[kXAngle]; // const double yangle = (*resiter)[kYAngle]; if (fabs(residual) < 0.1) { // truncate at 100 mrad sum_x += residual; sum_xx += residual * residual; N++; } } if (N < m_minHits) return false; // truncated mean and stdev to seed the fit double mean = sum_x / double(N); double stdev = sqrt(sum_xx / double(N) - pow(sum_x / double(N), 2)); // refine the standard deviation calculation sum_x = 0.; sum_xx = 0.; N = 0; for (std::vector<double *>::const_iterator resiter = residuals_begin(); resiter != residuals_end(); ++resiter) { const double residual = (*resiter)[kResidual]; if (mean - 1.5 * stdev < residual && residual < mean + 1.5 * stdev) { sum_x += residual; sum_xx += residual * residual; N++; } } mean = sum_x / double(N); stdev = sqrt(sum_xx / double(N) - pow(sum_x / double(N), 2)); sum_x = 0.; sum_xx = 0.; N = 0; for (std::vector<double *>::const_iterator resiter = residuals_begin(); resiter != residuals_end(); ++resiter) { const double residual = (*resiter)[kResidual]; if (mean - 1.5 * stdev < residual && residual < mean + 1.5 * stdev) { sum_x += residual; sum_xx += residual * residual; N++; } } mean = sum_x / double(N); stdev = sqrt(sum_xx / double(N) - pow(sum_x / double(N), 2)); std::vector<int> parNum; std::vector<std::string> parName; std::vector<double> start; std::vector<double> step; std::vector<double> low; std::vector<double> high; parNum.push_back(kAngle); parName.push_back(std::string("angle")); start.push_back(mean); step.push_back(0.1); low.push_back(0.); high.push_back(0.); parNum.push_back(kXControl); parName.push_back(std::string("xcontrol")); start.push_back(0.); step.push_back(0.1); low.push_back(0.); high.push_back(0.); parNum.push_back(kYControl); parName.push_back(std::string("ycontrol")); start.push_back(0.); step.push_back(0.1); low.push_back(0.); high.push_back(0.); parNum.push_back(kSigma); parName.push_back(std::string("sigma")); start.push_back(stdev); step.push_back(0.1 * stdev); low.push_back(0.); high.push_back(0.); if (residualsModel() != kPureGaussian && residualsModel() != kGaussPowerTails) { parNum.push_back(kGamma); parName.push_back(std::string("gamma")); start.push_back(stdev); step.push_back(0.1 * stdev); low.push_back(0.); high.push_back(0.); } return dofit(&MuonResidualsAngleFitter_FCN, parNum, parName, start, step, low, high); } double MuonResidualsAngleFitter::plot(std::string name, TFileDirectory *dir, Alignable *ali) { std::stringstream raw_name, narrowed_name, xcontrol_name, ycontrol_name; raw_name << name << "_raw"; narrowed_name << name << "_narrowed"; xcontrol_name << name << "_xcontrol"; ycontrol_name << name << "_ycontrol"; TH1F *raw_hist = dir->make<TH1F>(raw_name.str().c_str(), (raw_name.str() + std::string(" (mrad)")).c_str(), 100, -100., 100.); TH1F *narrowed_hist = dir->make<TH1F>( narrowed_name.str().c_str(), (narrowed_name.str() + std::string(" (mrad)")).c_str(), 100, -100., 100.); TProfile *xcontrol_hist = dir->make<TProfile>( xcontrol_name.str().c_str(), (xcontrol_name.str() + std::string(" (mrad)")).c_str(), 100, -1., 1.); TProfile *ycontrol_hist = dir->make<TProfile>( ycontrol_name.str().c_str(), (ycontrol_name.str() + std::string(" (mrad)")).c_str(), 100, -1., 1.); narrowed_name << "fit"; xcontrol_name << "fit"; ycontrol_name << "fit"; double scale_factor = double(numResiduals()) * (100. - -100.) / 100; // (max - min)/nbins TF1 *narrowed_fit = nullptr; if (residualsModel() == kPureGaussian) { narrowed_fit = new TF1(narrowed_name.str().c_str(), MuonResidualsFitter_pureGaussian_TF1, -100., 100., 3); narrowed_fit->SetParameters(scale_factor, value(kAngle) * 1000., value(kSigma) * 1000.); narrowed_fit->Write(); } else if (residualsModel() == kPowerLawTails) { narrowed_fit = new TF1(narrowed_name.str().c_str(), MuonResidualsFitter_powerLawTails_TF1, -100., 100., 4); narrowed_fit->SetParameters(scale_factor, value(kAngle) * 1000., value(kSigma) * 1000., value(kGamma) * 1000.); narrowed_fit->Write(); } else if (residualsModel() == kROOTVoigt) { narrowed_fit = new TF1(narrowed_name.str().c_str(), MuonResidualsFitter_ROOTVoigt_TF1, -100., 100., 4); narrowed_fit->SetParameters(scale_factor, value(kAngle) * 1000., value(kSigma) * 1000., value(kGamma) * 1000.); narrowed_fit->Write(); } else if (residualsModel() == kGaussPowerTails) { narrowed_fit = new TF1(narrowed_name.str().c_str(), MuonResidualsFitter_GaussPowerTails_TF1, -100., 100., 3); narrowed_fit->SetParameters(scale_factor, value(kAngle) * 1000., value(kSigma) * 1000.); narrowed_fit->Write(); } TF1 *xcontrol_fit = new TF1(xcontrol_name.str().c_str(), "[0]+x*[1]", -1., 1.); xcontrol_fit->SetParameters(value(kAngle) * 1000., value(kXControl) * 1000.); xcontrol_fit->Write(); TF1 *ycontrol_fit = new TF1(ycontrol_name.str().c_str(), "[0]+x*[1]", -1., 1.); ycontrol_fit->SetParameters(value(kAngle) * 1000., value(kYControl) * 1000.); ycontrol_fit->Write(); for (std::vector<double *>::const_iterator resiter = residuals_begin(); resiter != residuals_end(); ++resiter) { const double raw_residual = (*resiter)[kResidual]; const double xangle = (*resiter)[kXAngle]; const double yangle = (*resiter)[kYAngle]; double xangle_correction = value(kXControl) * xangle; double yangle_correction = value(kYControl) * yangle; double corrected_residual = raw_residual - xangle_correction - yangle_correction; raw_hist->Fill(raw_residual * 1000.); narrowed_hist->Fill(corrected_residual * 1000.); xcontrol_hist->Fill(xangle, (raw_residual - yangle_correction) * 1000.); ycontrol_hist->Fill(yangle, (raw_residual - xangle_correction) * 1000.); } return 0.; }