MuonResiduals5DOFFitter Class Reference

#include <MuonResiduals5DOFFitter.h>

Inheritance diagram for MuonResiduals5DOFFitter:

Public Types
enum	{   kAlignX = 0, kAlignZ, kAlignPhiX, kAlignPhiY,   kAlignPhiZ, kResidSigma, kResSlopeSigma, kAlpha,   kResidGamma, kResSlopeGamma, kNPar }
enum	{   kResid = 0, kResSlope, kPositionX, kPositionY,   kAngleX, kAngleY, kRedChi2, kPz,   kPt, kCharge, kStation, kWheel,   kSector, kChambW, kChambl, kNData }
Public Types inherited from MuonResidualsFitter
enum	{   kPureGaussian, kPowerLawTails, kROOTVoigt, kGaussPowerTails,   kPureGaussian2D }
enum	{   k1DOF, k5DOF, k6DOF, k6DOFrphi,   kPositionFitter, kAngleFitter, kAngleBfieldFitter }
enum	{   k1111, k1110, k1100, k1010,   k0010, k1000, k0100 }

Public Member Functions
void	correctBField () override
bool	fit (Alignable *ali) override
	MuonResiduals5DOFFitter (int residualsModel, int minHits, int useResiduals, bool weightAlignment=true)
int	ndata () override
int	npar () override
double	plot (std::string name, TFileDirectory *dir, Alignable *ali) override
TTree *	readNtuple (std::string fname, unsigned int wheel, unsigned int station, unsigned int sector, unsigned int preselected=1)
double	sumofweights () override
int	type () const override
	~MuonResiduals5DOFFitter () override
Public Member Functions inherited from MuonResidualsFitter
void	computeHistogramRangeAndBinning (int which, int &nbins, double &a, double &b)
virtual void	correctBField (int idx_momentum, int idx_q)
TMatrixDSym	correlationMatrix ()
double	covarianceElement (int parNum1, int parNum2)
TMatrixDSym	covarianceMatrix ()
void	eraseNotSelectedResiduals ()
double	errorerror (int parNum)
void	fiducialCuts (double xMin=-80.0, double xMax=80.0, double yMin=-80.0, double yMax=80.0, bool fidcut1=false)
void	fill (double *residual)
void	fix (int parNum, bool dofix=true)
bool	fixed (int parNum)
void	histogramChi2GaussianFit (int which, double &fit_mean, double &fit_sigma)
double	loglikelihood ()
	MuonResidualsFitter (int residualsModel, int minHits, int useResiduals, bool weightAlignment=true)
int	nfixed ()
long	numResiduals () const
long	numsegments ()
int	parNum2parIdx (int parNum)
void	plotsimple (std::string name, TFileDirectory *dir, int which, double multiplier)
void	plotweighted (std::string name, TFileDirectory *dir, int which, int whichredchi2, double multiplier)
void	read (FILE *file, int which=0)
std::vector< double * >::const_iterator	residuals_begin () const
std::vector< double * >::const_iterator	residuals_end () const
int	residualsModel () const
std::vector< bool > &	selectedResidualsFlags ()
void	selectPeakResiduals (double nsigma, int nvar, int *vars)
void	selectPeakResiduals_simple (double nsigma, int nvar, int *vars)
void	setInitialValue (int parNum, double value)
void	setPrintLevel (int printLevel)
void	setStrategy (int strategy)
int	useRes (int pattern=-1)
double	value (int parNum)
void	write (FILE *file, int which=0)
virtual	~MuonResidualsFitter ()

Protected Member Functions
void	inform (TMinuit *tMinuit) override
Protected Member Functions inherited from MuonResidualsFitter
bool	dofit (void(*fcn)(int &, double *, double &, double *, int), 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)
void	initialize_table ()

Additional Inherited Members
Protected Attributes inherited from MuonResidualsFitter
double	m_center [20]
TMatrixDSym	m_cov
std::vector< double >	m_error
std::vector< bool >	m_fixed
double	m_loglikelihood
int	m_minHits
std::map< int, double >	m_parNum2InitValue
std::map< int, int >	m_parNum2parIdx
int	m_printLevel
double	m_radii [20]
std::vector< double * >	m_residuals
std::vector< bool >	m_residuals_ok
int	m_residualsModel
int	m_strategy
int	m_useResiduals
std::vector< double >	m_value
bool	m_weightAlignment

Detailed Description

$Date: Fri Apr 17 15:29:54 CDT 2009

Revision

1.5

Author

J. Pivarski - Texas A&M University pivar.nosp@m.ski@.nosp@m.physi.nosp@m.cs.t.nosp@m.amu.e.nosp@m.du

Definition at line 18 of file MuonResiduals5DOFFitter.h.

Member Enumeration Documentation

anonymous enum

anonymous enum

Enumerator
kAlignX
kAlignZ
kAlignPhiX
kAlignPhiY
kAlignPhiZ
kResidSigma
kResSlopeSigma
kAlpha
kResidGamma
kResSlopeGamma
kNPar

Definition at line 20 of file MuonResiduals5DOFFitter.h.

       {
    kAlignX = 0,
    kAlignZ,
    kAlignPhiX,
    kAlignPhiY,
    kAlignPhiZ,
    kResidSigma,
    kResSlopeSigma,
    kAlpha,
    kResidGamma,
    kResSlopeGamma,
    kNPar
  };

anonymous enum

anonymous enum

Enumerator
kResid
kResSlope
kPositionX
kPositionY
kAngleX
kAngleY
kRedChi2
kPz
kPt
kCharge
kStation
kWheel
kSector
kChambW
kChambl
kNData

Definition at line 34 of file MuonResiduals5DOFFitter.h.

       {
    kResid = 0,
    kResSlope,
    kPositionX,
    kPositionY,
    kAngleX,
    kAngleY,
    kRedChi2,
    kPz,
    kPt,
    kCharge,
    kStation,
    kWheel,
    kSector,
    kChambW,
    kChambl,
    kNData
  };

Constructor & Destructor Documentation

MuonResiduals5DOFFitter()

MuonResiduals5DOFFitter::MuonResiduals5DOFFitter ( int  residualsModel, int  minHits, int  useResiduals, bool  weightAlignment = true  )

inline

Definition at line 53 of file MuonResiduals5DOFFitter.h.

      : MuonResidualsFitter(residualsModel, minHits, useResiduals, weightAlignment) {}

~MuonResiduals5DOFFitter()

MuonResiduals5DOFFitter::~MuonResiduals5DOFFitter ( )

inlineoverride

Definition at line 55 of file MuonResiduals5DOFFitter.h.

{}

Member Function Documentation

correctBField()

void MuonResiduals5DOFFitter::correctBField ( )

overridevirtual

Implements MuonResidualsFitter.

Definition at line 153 of file MuonResiduals5DOFFitter.cc.

{ MuonResidualsFitter::correctBField(kPt, kCharge); }

References MuonResidualsFitter::correctBField(), kCharge, and kPt.

fit()

bool MuonResiduals5DOFFitter::fit ( Alignable *  ali )

overridevirtual

Implements MuonResidualsFitter.

Definition at line 176 of file MuonResiduals5DOFFitter.cc.

                                                {
  initialize_table();  // if not already initialized
  sumofweights();
 
  double res_std = 0.5;
  double resslope_std = 0.005;
 
  int nums[10] = {kAlignX,
                  kAlignZ,
                  kAlignPhiX,
                  kAlignPhiY,
                  kAlignPhiZ,
                  kResidSigma,
                  kResSlopeSigma,
                  kAlpha,
                  kResidGamma,
                  kResSlopeGamma};
  std::string names[10] = {"AlignX",
                           "AlignZ",
                           "AlignPhiX",
                           "AlignPhiY",
                           "AlignPhiZ",
                           "ResidSigma",
                           "ResSlopeSigma",
                           "Alpha",
                           "ResidGamma",
                           "ResSlopeGamma"};
  double starts[10] = {0., 0., 0., 0., 0., res_std, resslope_std, 0., 0.1 * res_std, 0.1 * resslope_std};
  double steps[10] = {
      0.1, 0.1, 0.001, 0.001, 0.001, 0.001 * res_std, 0.001 * resslope_std, 0.001, 0.01 * res_std, 0.01 * resslope_std};
  double lows[10] = {0., 0., 0., 0., 0., 0., 0., -1., 0., 0.};
  double highs[10] = {0., 0., 0., 0., 0., 10., 0.1, 1., 0., 0.};
 
  std::vector<int> num(nums, nums + 5);
  std::vector<std::string> name(names, names + 5);
  std::vector<double> start(starts, starts + 5);
  std::vector<double> step(steps, steps + 5);
  std::vector<double> low(lows, lows + 5);
  std::vector<double> high(highs, highs + 5);
 
  bool add_alpha = (residualsModel() == kPureGaussian2D);
  bool add_gamma = (residualsModel() == kROOTVoigt || residualsModel() == kPowerLawTails);
 
  int idx[4], ni = 0;
  if (useRes() == k1111 || useRes() == k1110 || useRes() == k1010) {
    for (ni = 0; ni < 2; ni++)
      idx[ni] = ni + 5;
    if (add_alpha)
      idx[ni++] = 7;
    else if (add_gamma)
      for (; ni < 4; ni++)
        idx[ni] = ni + 6;
    if (!add_alpha)
      fix(kAlpha);
  } else if (useRes() == k1100) {
    idx[ni++] = 5;
    if (add_gamma)
      idx[ni++] = 8;
    fix(kResSlopeSigma);
    fix(kAlpha);
  } else if (useRes() == k0010) {
    idx[ni++] = 6;
    if (add_gamma)
      idx[ni++] = 9;
    fix(kResidSigma);
    fix(kAlpha);
  }
  for (int i = 0; i < ni; i++) {
    num.push_back(nums[idx[i]]);
    name.push_back(names[idx[i]]);
    start.push_back(starts[idx[i]]);
    step.push_back(steps[idx[i]]);
    low.push_back(lows[idx[i]]);
    high.push_back(highs[idx[i]]);
  }
 
  return dofit(&MuonResiduals5DOFFitter_FCN, num, name, start, step, low, high);
}

References MuonResidualsFitter::dofit(), MuonResidualsFitter::fix(), LaserClient_cfi::high, mps_fire::i, heavyIonCSV_trainingSettings::idx, MuonResidualsFitter::initialize_table(), MuonResidualsFitter::k0010, MuonResidualsFitter::k1010, MuonResidualsFitter::k1100, MuonResidualsFitter::k1110, MuonResidualsFitter::k1111, kAlignPhiX, kAlignPhiY, kAlignPhiZ, kAlignX, kAlignZ, kAlpha, MuonResidualsFitter::kPowerLawTails, MuonResidualsFitter::kPureGaussian2D, kResidGamma, kResidSigma, kResSlopeGamma, kResSlopeSigma, MuonResidualsFitter::kROOTVoigt, LaserClient_cfi::low, MuonResiduals5DOFFitter_FCN(), Skims_PA_cff::name, names, EgammaValidation_cff::num, MuonResidualsFitter::residualsModel(), command_line::start, customisers::steps, AlCaHLTBitMon_QueryRunRegistry::string, sumofweights(), and MuonResidualsFitter::useRes().

Referenced by trackingPlots.Iteration::modules().

inform()

void MuonResiduals5DOFFitter::inform ( TMinuit *  tMinuit )

overrideprotectedvirtual

Implements MuonResidualsFitter.

Definition at line 155 of file MuonResiduals5DOFFitter.cc.

{ minuit = tMinuit; }

ndata()

int MuonResiduals5DOFFitter::ndata ( )

inlineoverridevirtual

Implements MuonResidualsFitter.

Definition at line 70 of file MuonResiduals5DOFFitter.h.

{ return kNData; }

References kNData.

npar()

int MuonResiduals5DOFFitter::npar ( )

inlineoverridevirtual

Implements MuonResidualsFitter.

Definition at line 59 of file MuonResiduals5DOFFitter.h.

                      {
    if (residualsModel() == kPureGaussian || residualsModel() == kPureGaussian2D ||
        residualsModel() == kGaussPowerTails)
      return kNPar - 2;
    else if (residualsModel() == kPowerLawTails)
      return kNPar;
    else if (residualsModel() == kROOTVoigt)
      return kNPar;
    else
      assert(false);
  }

References cms::cuda::assert(), MuonResidualsFitter::kGaussPowerTails, kNPar, MuonResidualsFitter::kPowerLawTails, MuonResidualsFitter::kPureGaussian, MuonResidualsFitter::kPureGaussian2D, MuonResidualsFitter::kROOTVoigt, and MuonResidualsFitter::residualsModel().

Referenced by plot().

plot()

double MuonResiduals5DOFFitter::plot ( std::string  name, TFileDirectory *  dir, Alignable *  ali  )

overridevirtual

Implements MuonResidualsFitter.

Definition at line 255 of file MuonResiduals5DOFFitter.cc.

                                                                                        {
  sumofweights();
 
  double mean_residual = 0., mean_resslope = 0.;
  double mean_trackx = 0., mean_tracky = 0., mean_trackdxdz = 0., mean_trackdydz = 0.;
  double sum_w = 0.;
 
  for (std::vector<double *>::const_iterator rit = residuals_begin(); rit != residuals_end(); ++rit) {
    const double redchi2 = (*rit)[kRedChi2];
    double weight = 1. / redchi2;
    if (!m_weightAlignment)
      weight = 1.;
 
    if (!m_weightAlignment || TMath::Prob(redchi2 * 6, 6) < 0.99)  // no spikes allowed
    {
      double factor_w = 1. / (sum_w + weight);
      mean_residual = factor_w * (sum_w * mean_residual + weight * (*rit)[kResid]);
      mean_resslope = factor_w * (sum_w * mean_resslope + weight * (*rit)[kResSlope]);
      mean_trackx = factor_w * (sum_w * mean_trackx + weight * (*rit)[kPositionX]);
      mean_tracky = factor_w * (sum_w * mean_tracky + weight * (*rit)[kPositionY]);
      mean_trackdxdz = factor_w * (sum_w * mean_trackdxdz + weight * (*rit)[kAngleX]);
      mean_trackdydz = factor_w * (sum_w * mean_trackdydz + weight * (*rit)[kAngleY]);
      sum_w += weight;
    }
  }
 
  std::string name_residual, name_resslope, name_residual_raw, name_resslope_raw, name_residual_cut, name_alpha;
  std::string name_residual_trackx, name_resslope_trackx;
  std::string name_residual_tracky, name_resslope_tracky;
  std::string name_residual_trackdxdz, name_resslope_trackdxdz;
  std::string name_residual_trackdydz, name_resslope_trackdydz;
 
  name_residual = name + "_residual";
  name_resslope = name + "_resslope";
  name_residual_raw = name + "_residual_raw";
  name_resslope_raw = name + "_resslope_raw";
  name_residual_cut = name + "_residual_cut";
  name_alpha = name + "_alpha";
  name_residual_trackx = name + "_residual_trackx";
  name_resslope_trackx = name + "_resslope_trackx";
  name_residual_tracky = name + "_residual_tracky";
  name_resslope_tracky = name + "_resslope_tracky";
  name_residual_trackdxdz = name + "_residual_trackdxdz";
  name_resslope_trackdxdz = name + "_resslope_trackdxdz";
  name_residual_trackdydz = name + "_residual_trackdydz";
  name_resslope_trackdydz = name + "_resslope_trackdydz";
 
  double width = ali->surface().width();
  double length = ali->surface().length();
  int bins_residual = 150, bins_resslope = 100;
  double min_residual = -75., max_residual = 75.;
  double min_resslope = -50., max_resslope = 50.;
  double min_trackx = -width / 2., max_trackx = width / 2.;
  double min_tracky = -length / 2., max_tracky = length / 2.;
  double min_trackdxdz = -1.5, max_trackdxdz = 1.5;
  double min_trackdydz = -1.5, max_trackdydz = 1.5;
 
  TH1F *hist_residual = dir->make<TH1F>(name_residual.c_str(), "", bins_residual, min_residual, max_residual);
  TH1F *hist_resslope = dir->make<TH1F>(name_resslope.c_str(), "", bins_resslope, min_resslope, max_resslope);
  TH1F *hist_residual_raw = dir->make<TH1F>(name_residual_raw.c_str(), "", bins_residual, min_residual, max_residual);
  TH1F *hist_resslope_raw = dir->make<TH1F>(name_resslope_raw.c_str(), "", bins_resslope, min_resslope, max_resslope);
  TH1F *hist_residual_cut = dir->make<TH1F>(name_residual_cut.c_str(), "", bins_residual, min_residual, max_residual);
  TH2F *hist_alpha = dir->make<TH2F>(name_alpha.c_str(), "", 50, min_resslope, max_resslope, 50, -50., 50.);
 
  TProfile *hist_residual_trackx =
      dir->make<TProfile>(name_residual_trackx.c_str(), "", 50, min_trackx, max_trackx, min_residual, max_residual);
  TProfile *hist_resslope_trackx =
      dir->make<TProfile>(name_resslope_trackx.c_str(), "", 50, min_trackx, max_trackx, min_resslope, max_resslope);
  TProfile *hist_residual_tracky =
      dir->make<TProfile>(name_residual_tracky.c_str(), "", 50, min_tracky, max_tracky, min_residual, max_residual);
  TProfile *hist_resslope_tracky =
      dir->make<TProfile>(name_resslope_tracky.c_str(), "", 50, min_tracky, max_tracky, min_resslope, max_resslope);
  TProfile *hist_residual_trackdxdz = dir->make<TProfile>(
      name_residual_trackdxdz.c_str(), "", 250, min_trackdxdz, max_trackdxdz, min_residual, max_residual);
  TProfile *hist_resslope_trackdxdz = dir->make<TProfile>(
      name_resslope_trackdxdz.c_str(), "", 250, min_trackdxdz, max_trackdxdz, min_resslope, max_resslope);
  TProfile *hist_residual_trackdydz = dir->make<TProfile>(
      name_residual_trackdydz.c_str(), "", 250, min_trackdydz, max_trackdydz, min_residual, max_residual);
  TProfile *hist_resslope_trackdydz = dir->make<TProfile>(
      name_resslope_trackdydz.c_str(), "", 250, min_trackdydz, max_trackdydz, min_resslope, max_resslope);
 
  hist_residual_trackx->SetAxisRange(-10., 10., "Y");
  hist_resslope_trackx->SetAxisRange(-10., 10., "Y");
  hist_residual_tracky->SetAxisRange(-10., 10., "Y");
  hist_resslope_tracky->SetAxisRange(-10., 10., "Y");
  hist_residual_trackdxdz->SetAxisRange(-10., 10., "Y");
  hist_resslope_trackdxdz->SetAxisRange(-10., 10., "Y");
  hist_residual_trackdydz->SetAxisRange(-10., 10., "Y");
  hist_resslope_trackdydz->SetAxisRange(-10., 10., "Y");
 
  name_residual += "_fit";
  name_resslope += "_fit";
  name_alpha += "_fit";
  name_residual_trackx += "_fit";
  name_resslope_trackx += "_fit";
  name_residual_tracky += "_fit";
  name_resslope_tracky += "_fit";
  name_residual_trackdxdz += "_fit";
  name_resslope_trackdxdz += "_fit";
  name_residual_trackdydz += "_fit";
  name_resslope_trackdydz += "_fit";
 
  TF1 *fit_residual = nullptr;
  TF1 *fit_resslope = nullptr;
  if (residualsModel() == kPureGaussian || residualsModel() == kPureGaussian2D) {
    fit_residual = new TF1(name_residual.c_str(), MuonResidualsFitter_pureGaussian_TF1, min_residual, max_residual, 3);
    fit_residual->SetParameters(
        sum_of_weights * (max_residual - min_residual) / bins_residual, 10. * value(kAlignX), 10. * value(kResidSigma));
    const double er_res[3] = {0., 10. * errorerror(kAlignX), 10. * errorerror(kResidSigma)};
    fit_residual->SetParErrors(er_res);
    fit_resslope = new TF1(name_resslope.c_str(), MuonResidualsFitter_pureGaussian_TF1, min_resslope, max_resslope, 3);
    fit_resslope->SetParameters(sum_of_weights * (max_resslope - min_resslope) / bins_resslope,
                                1000. * value(kAlignPhiY),
                                1000. * value(kResSlopeSigma));
    const double er_resslope[3] = {0., 1000. * errorerror(kAlignPhiY), 1000. * errorerror(kResSlopeSigma)};
    fit_resslope->SetParErrors(er_resslope);
  } else if (residualsModel() == kPowerLawTails) {
    fit_residual = new TF1(name_residual.c_str(), MuonResidualsFitter_powerLawTails_TF1, min_residual, max_residual, 4);
    fit_residual->SetParameters(sum_of_weights * (max_residual - min_residual) / bins_residual,
                                10. * value(kAlignX),
                                10. * value(kResidSigma),
                                10. * value(kResidGamma));
    fit_resslope = new TF1(name_resslope.c_str(), MuonResidualsFitter_powerLawTails_TF1, min_resslope, max_resslope, 4);
    fit_resslope->SetParameters(sum_of_weights * (max_resslope - min_resslope) / bins_resslope,
                                1000. * value(kAlignPhiY),
                                1000. * value(kResSlopeSigma),
                                1000. * value(kResSlopeGamma));
  } else if (residualsModel() == kROOTVoigt) {
    fit_residual = new TF1(name_residual.c_str(), MuonResidualsFitter_ROOTVoigt_TF1, min_residual, max_residual, 4);
    fit_residual->SetParameters(sum_of_weights * (max_residual - min_residual) / bins_residual,
                                10. * value(kAlignX),
                                10. * value(kResidSigma),
                                10. * value(kResidGamma));
    fit_resslope = new TF1(name_resslope.c_str(), MuonResidualsFitter_ROOTVoigt_TF1, min_resslope, max_resslope, 4);
    fit_resslope->SetParameters(sum_of_weights * (max_resslope - min_resslope) / bins_resslope,
                                1000. * value(kAlignPhiY),
                                1000. * value(kResSlopeSigma),
                                1000. * value(kResSlopeGamma));
  } else if (residualsModel() == kGaussPowerTails) {
    fit_residual =
        new TF1(name_residual.c_str(), MuonResidualsFitter_GaussPowerTails_TF1, min_residual, max_residual, 3);
    fit_residual->SetParameters(
        sum_of_weights * (max_residual - min_residual) / bins_residual, 10. * value(kAlignX), 10. * value(kResidSigma));
    fit_resslope =
        new TF1(name_resslope.c_str(), MuonResidualsFitter_GaussPowerTails_TF1, min_resslope, max_resslope, 3);
    fit_resslope->SetParameters(sum_of_weights * (max_resslope - min_resslope) / bins_resslope,
                                1000. * value(kAlignPhiY),
                                1000. * value(kResSlopeSigma));
  } else {
    assert(false);
  }
 
  fit_residual->SetLineColor(2);
  fit_residual->SetLineWidth(2);
  fit_residual->Write();
  fit_resslope->SetLineColor(2);
  fit_resslope->SetLineWidth(2);
  fit_resslope->Write();
 
  TF1 *fit_alpha = new TF1(name_alpha.c_str(), "[0] + x*[1]", min_resslope, max_resslope);
  double a = 10. * value(kAlignX), b = 10. * value(kAlpha) / 1000.;
  if (residualsModel() == kPureGaussian2D) {
    double sx = 10. * value(kResidSigma), sy = 1000. * value(kResSlopeSigma), r = value(kAlpha);
    a = mean_residual;
    b = 0.;
    if (sx != 0.) {
      b = 1. / (sy / sx * r);
      a = -b * mean_resslope;
    }
  }
  fit_alpha->SetParameters(a, b);
  fit_alpha->SetLineColor(2);
  fit_alpha->SetLineWidth(2);
  fit_alpha->Write();
 
  TProfile *fit_residual_trackx = dir->make<TProfile>(name_residual_trackx.c_str(), "", 50, min_trackx, max_trackx);
  TProfile *fit_resslope_trackx = dir->make<TProfile>(name_resslope_trackx.c_str(), "", 50, min_trackx, max_trackx);
  TProfile *fit_residual_tracky = dir->make<TProfile>(name_residual_tracky.c_str(), "", 50, min_tracky, max_tracky);
  TProfile *fit_resslope_tracky = dir->make<TProfile>(name_resslope_tracky.c_str(), "", 50, min_tracky, max_tracky);
  TProfile *fit_residual_trackdxdz =
      dir->make<TProfile>(name_residual_trackdxdz.c_str(), "", 250, min_trackdxdz, max_trackdxdz);
  TProfile *fit_resslope_trackdxdz =
      dir->make<TProfile>(name_resslope_trackdxdz.c_str(), "", 250, min_trackdxdz, max_trackdxdz);
  TProfile *fit_residual_trackdydz =
      dir->make<TProfile>(name_residual_trackdydz.c_str(), "", 250, min_trackdydz, max_trackdydz);
  TProfile *fit_resslope_trackdydz =
      dir->make<TProfile>(name_resslope_trackdydz.c_str(), "", 250, min_trackdydz, max_trackdydz);
 
  fit_residual_trackx->SetLineColor(2);
  fit_residual_trackx->SetLineWidth(2);
  fit_resslope_trackx->SetLineColor(2);
  fit_resslope_trackx->SetLineWidth(2);
  fit_residual_tracky->SetLineColor(2);
  fit_residual_tracky->SetLineWidth(2);
  fit_resslope_tracky->SetLineColor(2);
  fit_resslope_tracky->SetLineWidth(2);
  fit_residual_trackdxdz->SetLineColor(2);
  fit_residual_trackdxdz->SetLineWidth(2);
  fit_resslope_trackdxdz->SetLineColor(2);
  fit_resslope_trackdxdz->SetLineWidth(2);
  fit_residual_trackdydz->SetLineColor(2);
  fit_residual_trackdydz->SetLineWidth(2);
  fit_resslope_trackdydz->SetLineColor(2);
  fit_resslope_trackdydz->SetLineWidth(2);
 
  name_residual_trackx += "line";
  name_resslope_trackx += "line";
  name_residual_tracky += "line";
  name_resslope_tracky += "line";
  name_residual_trackdxdz += "line";
  name_resslope_trackdxdz += "line";
  name_residual_trackdydz += "line";
  name_resslope_trackdydz += "line";
 
  TF1 *fitline_residual_trackx =
      new TF1(name_residual_trackx.c_str(), residual_x_trackx_TF1, min_trackx, max_trackx, 12);
  TF1 *fitline_resslope_trackx =
      new TF1(name_resslope_trackx.c_str(), residual_dxdz_trackx_TF1, min_trackx, max_trackx, 12);
  TF1 *fitline_residual_tracky =
      new TF1(name_residual_tracky.c_str(), residual_x_tracky_TF1, min_tracky, max_tracky, 12);
  TF1 *fitline_resslope_tracky =
      new TF1(name_resslope_tracky.c_str(), residual_dxdz_tracky_TF1, min_tracky, max_tracky, 12);
  TF1 *fitline_residual_trackdxdz =
      new TF1(name_residual_trackdxdz.c_str(), residual_x_trackdxdz_TF1, min_trackdxdz, max_trackdxdz, 12);
  TF1 *fitline_resslope_trackdxdz =
      new TF1(name_resslope_trackdxdz.c_str(), residual_dxdz_trackdxdz_TF1, min_trackdxdz, max_trackdxdz, 12);
  TF1 *fitline_residual_trackdydz =
      new TF1(name_residual_trackdydz.c_str(), residual_x_trackdydz_TF1, min_trackdydz, max_trackdydz, 12);
  TF1 *fitline_resslope_trackdydz =
      new TF1(name_resslope_trackdydz.c_str(), residual_dxdz_trackdydz_TF1, min_trackdydz, max_trackdydz, 12);
 
  std::vector<TF1 *> fitlines;
  fitlines.push_back(fitline_residual_trackx);
  fitlines.push_back(fitline_resslope_trackx);
  fitlines.push_back(fitline_residual_tracky);
  fitlines.push_back(fitline_resslope_tracky);
  fitlines.push_back(fitline_residual_trackdxdz);
  fitlines.push_back(fitline_resslope_trackdxdz);
  fitlines.push_back(fitline_residual_trackdydz);
  fitlines.push_back(fitline_resslope_trackdydz);
 
  double fitparameters[12] = {value(kAlignX),
                              0.,
                              value(kAlignZ),
                              value(kAlignPhiX),
                              value(kAlignPhiY),
                              value(kAlignPhiZ),
                              mean_trackx,
                              mean_tracky,
                              mean_trackdxdz,
                              mean_trackdydz,
                              value(kAlpha),
                              mean_resslope};
  if (residualsModel() == kPureGaussian2D)
    fitparameters[10] = 0.;
 
  for (std::vector<TF1 *>::const_iterator itr = fitlines.begin(); itr != fitlines.end(); itr++) {
    (*itr)->SetParameters(fitparameters);
    (*itr)->SetLineColor(2);
    (*itr)->SetLineWidth(2);
    (*itr)->Write();
  }
 
  for (std::vector<double *>::const_iterator resiter = residuals_begin(); resiter != residuals_end(); ++resiter) {
    const double resid = (*resiter)[kResid];
    const double resslope = (*resiter)[kResSlope];
    const double positionX = (*resiter)[kPositionX];
    const double positionY = (*resiter)[kPositionY];
    const double angleX = (*resiter)[kAngleX];
    const double angleY = (*resiter)[kAngleY];
    const double redchi2 = (*resiter)[kRedChi2];
    double weight = 1. / redchi2;
    if (!m_weightAlignment)
      weight = 1.;
 
    if (!m_weightAlignment || TMath::Prob(redchi2 * 8, 8) < 0.99) {  // no spikes allowed
      hist_alpha->Fill(1000. * resslope, 10. * resid);
 
      double coeff = value(kAlpha);
      if (residualsModel() == kPureGaussian || residualsModel() == kPureGaussian2D)
        coeff = 0.;
      double geom_resid = residual_x(value(kAlignX),
                                     value(kAlignZ),
                                     value(kAlignPhiX),
                                     value(kAlignPhiY),
                                     value(kAlignPhiZ),
                                     positionX,
                                     positionY,
                                     angleX,
                                     angleY,
                                     coeff,
                                     resslope);
      hist_residual->Fill(10. * (resid - geom_resid + value(kAlignX)), weight);
      hist_residual_trackx->Fill(positionX, 10. * resid, weight);
      hist_residual_tracky->Fill(positionY, 10. * resid, weight);
      hist_residual_trackdxdz->Fill(angleX, 10. * resid, weight);
      hist_residual_trackdydz->Fill(angleY, 10. * resid, weight);
      fit_residual_trackx->Fill(positionX, 10. * geom_resid, weight);
      fit_residual_tracky->Fill(positionY, 10. * geom_resid, weight);
      fit_residual_trackdxdz->Fill(angleX, 10. * geom_resid, weight);
      fit_residual_trackdydz->Fill(angleY, 10. * geom_resid, weight);
 
      double geom_resslope = residual_dxdz(value(kAlignX),
                                           value(kAlignZ),
                                           value(kAlignPhiX),
                                           value(kAlignPhiY),
                                           value(kAlignPhiZ),
                                           positionX,
                                           positionY,
                                           angleX,
                                           angleY);
      hist_resslope->Fill(1000. * (resslope - geom_resslope + value(kAlignPhiY)), weight);
      hist_resslope_trackx->Fill(positionX, 1000. * resslope, weight);
      hist_resslope_tracky->Fill(positionY, 1000. * resslope, weight);
      hist_resslope_trackdxdz->Fill(angleX, 1000. * resslope, weight);
      hist_resslope_trackdydz->Fill(angleY, 1000. * resslope, weight);
      fit_resslope_trackx->Fill(positionX, 1000. * geom_resslope, weight);
      fit_resslope_tracky->Fill(positionY, 1000. * geom_resslope, weight);
      fit_resslope_trackdxdz->Fill(angleX, 1000. * geom_resslope, weight);
      fit_resslope_trackdydz->Fill(angleY, 1000. * geom_resslope, weight);
    }
 
    hist_residual_raw->Fill(10. * resid);
    hist_resslope_raw->Fill(1000. * resslope);
    if (fabs(resslope) < 0.005)
      hist_residual_cut->Fill(10. * resid);
  }
 
  double chi2 = 0.;
  double ndof = 0.;
  for (int i = 1; i <= hist_residual->GetNbinsX(); i++) {
    double xi = hist_residual->GetBinCenter(i);
    double yi = hist_residual->GetBinContent(i);
    double yerri = hist_residual->GetBinError(i);
    double yth = fit_residual->Eval(xi);
    if (yerri > 0.) {
      chi2 += pow((yth - yi) / yerri, 2);
      ndof += 1.;
    }
  }
  for (int i = 1; i <= hist_resslope->GetNbinsX(); i++) {
    double xi = hist_resslope->GetBinCenter(i);
    double yi = hist_resslope->GetBinContent(i);
    double yerri = hist_resslope->GetBinError(i);
    double yth = fit_resslope->Eval(xi);
    if (yerri > 0.) {
      chi2 += pow((yth - yi) / yerri, 2);
      ndof += 1.;
    }
  }
  ndof -= npar();
 
  return (ndof > 0. ? chi2 / ndof : -1.);
}

References a, cms::cuda::assert(), b, hltPixelTracks_cff::chi2, DeadROC_duringRun::dir, MuonResidualsFitter::errorerror(), mps_fire::i, kAlignPhiX, kAlignPhiY, kAlignPhiZ, kAlignX, kAlignZ, kAlpha, kAngleX, kAngleY, MuonResidualsFitter::kGaussPowerTails, kPositionX, kPositionY, MuonResidualsFitter::kPowerLawTails, MuonResidualsFitter::kPureGaussian, MuonResidualsFitter::kPureGaussian2D, kRedChi2, kResid, kResidGamma, kResidSigma, kResSlope, kResSlopeGamma, kResSlopeSigma, MuonResidualsFitter::kROOTVoigt, AlignableSurface::length(), MuonResidualsFitter::m_weightAlignment, MuonResidualsFitter_GaussPowerTails_TF1(), MuonResidualsFitter_powerLawTails_TF1(), MuonResidualsFitter_pureGaussian_TF1(), MuonResidualsFitter_ROOTVoigt_TF1(), Skims_PA_cff::name, ndof, npar(), funct::pow(), alignCSCRings::r, MuonResidualsFitter::residuals_begin(), MuonResidualsFitter::residuals_end(), MuonResidualsFitter::residualsModel(), AlCaHLTBitMon_QueryRunRegistry::string, sumofweights(), Alignable::surface(), fftjetcommon_cfi::sx, fftjetcommon_cfi::sy, MuonResidualsFitter::value(), mps_merge::weight, ApeEstimator_cff::width, AlignableSurface::width(), and protons_cff::xi.

readNtuple()

TTree * MuonResiduals5DOFFitter::readNtuple	(	std::string	fname,
		unsigned int	wheel,
		unsigned int	station,
		unsigned int	sector,
		unsigned int	preselected = 1
	)

Definition at line 610 of file MuonResiduals5DOFFitter.cc.

                                                                                                              {
  TFile *f = new TFile(fname.c_str());
  TTree *t = (TTree *)f->Get("mual_ttree");
 
  // Create  new temporary file
  TFile *tmpf = new TFile("small_tree_fit.root", "recreate");
  assert(tmpf != nullptr);
 
  // filter the tree (temporarily lives in the new file)
  TTree *tt = t->CopyTree(Form(
      "is_dt && ring_wheel==%d && station==%d && sector==%d && select==%d", wheel, station, sector, (bool)preselected));
 
  MuonAlignmentTreeRow r;
  tt->SetBranchAddress("res_x", &r.res_x);
  tt->SetBranchAddress("res_slope_x", &r.res_slope_x);
  tt->SetBranchAddress("pos_x", &r.pos_x);
  tt->SetBranchAddress("pos_y", &r.pos_y);
  tt->SetBranchAddress("angle_x", &r.angle_x);
  tt->SetBranchAddress("angle_y", &r.angle_y);
  tt->SetBranchAddress("pz", &r.pz);
  tt->SetBranchAddress("pt", &r.pt);
  tt->SetBranchAddress("q", &r.q);
 
  Long64_t nentries = tt->GetEntries();
  for (Long64_t i = 0; i < nentries; i++) {
    tt->GetEntry(i);
    double *rdata = new double[MuonResiduals5DOFFitter::kNData];
    rdata[kResid] = r.res_x;
    rdata[kResSlope] = r.res_slope_x;
    rdata[kPositionX] = r.pos_x;
    rdata[kPositionY] = r.pos_y;
    rdata[kAngleX] = r.angle_x;
    rdata[kAngleY] = r.angle_y;
    rdata[kRedChi2] = 0.1;
    rdata[kPz] = r.pz;
    rdata[kPt] = r.pt;
    rdata[kCharge] = r.q;
    fill(rdata);
  }
  delete f;
  //delete tmpf;
  return tt;
}

References cms::cuda::assert(), f, MuonResidualsFitter::fill(), alignmentValidation::fname, mps_fire::i, kAngleX, kAngleY, kCharge, kNData, kPositionX, kPositionY, kPt, kPz, kRedChi2, kResid, kResSlope, alignCSCRings::r, relativeConstraints::station, submitPVValidationJobs::t, groupFilesInBlocks::tt, and makeMuonMisalignmentScenario::wheel.

sumofweights()

double MuonResiduals5DOFFitter::sumofweights ( )

overridevirtual

Implements MuonResidualsFitter.

Definition at line 157 of file MuonResiduals5DOFFitter.cc.

                                             {
  sum_of_weights = 0.;
  number_of_hits = 0.;
  weight_alignment = m_weightAlignment;
  for (std::vector<double *>::const_iterator resiter = residuals_begin(); resiter != residuals_end(); ++resiter) {
    if (m_weightAlignment) {
      double redchi2 = (*resiter)[MuonResiduals5DOFFitter::kRedChi2];
      if (TMath::Prob(redchi2 * 8, 8) < 0.99) {
        sum_of_weights += 1. / redchi2;
        number_of_hits += 1.;
      }
    } else {
      sum_of_weights += 1.;
      number_of_hits += 1.;
    }
  }
  return sum_of_weights;
}

References kRedChi2, MuonResidualsFitter::m_weightAlignment, MuonResidualsFitter::residuals_begin(), and MuonResidualsFitter::residuals_end().

Referenced by fit(), and plot().

type()

int MuonResiduals5DOFFitter::type ( ) const

inlineoverridevirtual

Implements MuonResidualsFitter.

Definition at line 57 of file MuonResiduals5DOFFitter.h.

{ return MuonResidualsFitter::k5DOF; }

References MuonResidualsFitter::k5DOF.