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#include <MuonResiduals6DOFFitter.h>
Public Types | |
| enum | { kAlignX = 0, kAlignY, kAlignZ, kAlignPhiX, kAlignPhiY, kAlignPhiZ, kResidXSigma, kResidYSigma, kResSlopeXSigma, kResSlopeYSigma, kAlphaX, kAlphaY, kResidXGamma, kResidYGamma, kResSlopeXGamma, kResSlopeYGamma, kNPar } |
| enum | { kResidX = 0, kResidY, kResSlopeX, kResSlopeY, kPositionX, kPositionY, kAngleX, kAngleY, kRedChi2, kPz, kPt, kCharge, kNData } |
Public Member Functions | |
| void | correctBField () |
| bool | fit (Alignable *ali) |
| MuonResiduals6DOFFitter (int residualsModel, int minHits, int useResiduals, bool weightAlignment=true) | |
| int | ndata () |
| int | npar () |
| double | plot (std::string name, TFileDirectory *dir, Alignable *ali) |
| TTree * | readNtuple (std::string fname, unsigned int wheel, unsigned int station, unsigned int sector, unsigned int preselected=1) |
| double | sumofweights () |
| int | type () const |
| virtual | ~MuonResiduals6DOFFitter () |
Protected Member Functions | |
| void | inform (TMinuit *tMinuit) |
$Date: Thu Apr 16 14:20:58 CDT 2009
Definition at line 18 of file MuonResiduals6DOFFitter.h.
| anonymous enum |
| kAlignX | |
| kAlignY | |
| kAlignZ | |
| kAlignPhiX | |
| kAlignPhiY | |
| kAlignPhiZ | |
| kResidXSigma | |
| kResidYSigma | |
| kResSlopeXSigma | |
| kResSlopeYSigma | |
| kAlphaX | |
| kAlphaY | |
| kResidXGamma | |
| kResidYGamma | |
| kResSlopeXGamma | |
| kResSlopeYGamma | |
| kNPar |
Definition at line 21 of file MuonResiduals6DOFFitter.h.
| anonymous enum |
| kResidX | |
| kResidY | |
| kResSlopeX | |
| kResSlopeY | |
| kPositionX | |
| kPositionY | |
| kAngleX | |
| kAngleY | |
| kRedChi2 | |
| kPz | |
| kPt | |
| kCharge | |
| kNData |
Definition at line 41 of file MuonResiduals6DOFFitter.h.
{
kResidX = 0,
kResidY,
kResSlopeX,
kResSlopeY,
kPositionX,
kPositionY,
kAngleX,
kAngleY,
kRedChi2,
kPz,
kPt,
kCharge,
kNData
};
| MuonResiduals6DOFFitter::MuonResiduals6DOFFitter | ( | int | residualsModel, |
| int | minHits, | ||
| int | useResiduals, | ||
| bool | weightAlignment = true |
||
| ) | [inline] |
Definition at line 57 of file MuonResiduals6DOFFitter.h.
: MuonResidualsFitter(residualsModel, minHits, useResiduals, weightAlignment) {}
| virtual MuonResiduals6DOFFitter::~MuonResiduals6DOFFitter | ( | ) | [inline, virtual] |
Definition at line 58 of file MuonResiduals6DOFFitter.h.
{}
| void MuonResiduals6DOFFitter::correctBField | ( | ) | [virtual] |
Implements MuonResidualsFitter.
Definition at line 225 of file MuonResiduals6DOFFitter.cc.
| bool MuonResiduals6DOFFitter::fit | ( | Alignable * | ali | ) | [virtual] |
Implements MuonResidualsFitter.
Definition at line 253 of file MuonResiduals6DOFFitter.cc.
References MuonResidualsFitter::dofit(), MuonResidualsFitter::fix(), i, MuonResidualsFitter::initialize_table(), MuonResidualsFitter::k0010, MuonResidualsFitter::k1010, MuonResidualsFitter::k1100, MuonResidualsFitter::k1110, MuonResidualsFitter::k1111, kAlignPhiX, kAlignPhiY, kAlignPhiZ, kAlignX, kAlignY, kAlignZ, kAlphaX, kAlphaY, MuonResidualsFitter::kPowerLawTails, MuonResidualsFitter::kPureGaussian2D, kResidXGamma, kResidXSigma, kResidYGamma, kResidYSigma, kResSlopeXGamma, kResSlopeXSigma, kResSlopeYGamma, kResSlopeYSigma, MuonResidualsFitter::kROOTVoigt, MuonResiduals6DOFFitter_FCN(), mergeVDriftHistosByStation::name, h::names, MuonResidualsFitter::residualsModel(), errorMatrix2Lands_multiChannel::start, launcher::step, relval_steps::steps, sumofweights(), and MuonResidualsFitter::useRes().
{
initialize_table(); // if not already initialized
sumofweights();
double resx_std = 0.5;
double resy_std = 3.0;
double resslopex_std = 0.002;
double resslopey_std = 0.005;
int nums[16] = {kAlignX, kAlignY, kAlignZ, kAlignPhiX, kAlignPhiY, kAlignPhiZ, kResidXSigma, kResidYSigma, kResSlopeXSigma, kResSlopeYSigma,
kAlphaX, kAlphaY, kResidXGamma, kResidYGamma, kResSlopeXGamma, kResSlopeYGamma};
std::string names[16] = {"AlignX","AlignY","AlignZ","AlignPhiX","AlignPhiY","AlignPhiZ", "ResidXSigma","ResidYSigma","ResSlopeXSigma","ResSlopeYSigma",
"AlphaX","AlphaY", "ResidXGamma","ResidYGamma","ResSlopeXGamma","ResSlopeYGamma"};
double starts[16] = {0., 0., 0., 0., 0., 0., resx_std, resy_std, resslopex_std, resslopey_std,
0., 0., 0.1*resx_std, 0.1*resy_std, 0.1*resslopex_std, 0.1*resslopey_std};
double steps[16] = {0.1, 0.1, 0.1, 0.001, 0.001, 0.001, 0.001*resx_std, 0.001*resy_std, 0.001*resslopex_std, 0.001*resslopey_std,
0.001, 0.001, 0.01*resx_std, 0.01*resy_std, 0.01*resslopex_std, 0.01*resslopey_std};
double lows[16] = {0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
-1., -1., 0., 0., 0., 0.};
double highs[16] = {0., 0., 0., 0., 0., 0., 10., 10., 0.1, 0.1,
1.,1., 0., 0., 0., 0.};
std::vector<int> num(nums, nums+6);
std::vector<std::string> name(names, names+6);
std::vector<double> start(starts, starts+6);
std::vector<double> step(steps, steps+6);
std::vector<double> low(lows, lows+6);
std::vector<double> high(highs, highs+6);
bool add_alpha = ( residualsModel() == kPureGaussian2D );
bool add_gamma = ( residualsModel() == kROOTVoigt || residualsModel() == kPowerLawTails );
int idx[8], ni = 0;
if (useRes() == k1111) {
for(ni=0; ni<4; ni++) idx[ni] = ni+6;
if (add_alpha) for(; ni<6; ni++) idx[ni] = ni+6;
else if (add_gamma) for(; ni<8; ni++) idx[ni] = ni+8;
if (!add_alpha) fix(kAlphaX);
if (!add_alpha) fix(kAlphaY);
}
else if (useRes() == k1110) {
for(ni=0; ni<3; ni++) idx[ni] = ni+6;
if (add_alpha) idx[ni++] = 10;
else if (add_gamma) for(; ni<6; ni++) idx[ni] = ni+9;
fix(kResSlopeYSigma);
fix(kAlphaY);
if (!add_alpha) fix(kAlphaX);
}
else if (useRes() == k1100) {
for(ni=0; ni<2; ni++) idx[ni] = ni+6;
if (add_gamma) for(; ni<4; ni++) idx[ni] = ni+10;
fix(kResSlopeXSigma);
fix(kResSlopeYSigma);
fix(kAlphaX);
fix(kAlphaY);
}
else if (useRes() == k1010) {
idx[ni++] = 6; idx[ni++] = 8;
if (add_alpha) idx[ni++] = 10;
if (add_gamma) { idx[ni++] = 12; idx[ni++] = 14; }
fix(kResidYSigma);
fix(kResSlopeYSigma);
fix(kAlphaY);
if (!add_alpha) fix(kAlphaX);
}
else if (useRes() == k0010) {
idx[ni++] = 8;
if (add_gamma) idx[ni++] = 14;
fix(kResidXSigma);
fix(kResidYSigma);
fix(kResSlopeYSigma);
fix(kAlphaX);
fix(kAlphaY);
}
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(&MuonResiduals6DOFFitter_FCN, num, name, start, step, low, high);
}
| void MuonResiduals6DOFFitter::inform | ( | TMinuit * | tMinuit | ) | [protected, virtual] |
Implements MuonResidualsFitter.
Definition at line 219 of file MuonResiduals6DOFFitter.cc.
{
minuit = tMinuit;
}
| int MuonResiduals6DOFFitter::ndata | ( | ) | [inline, virtual] |
Implements MuonResidualsFitter.
Definition at line 68 of file MuonResiduals6DOFFitter.h.
References kNData.
{ return kNData; }
| int MuonResiduals6DOFFitter::npar | ( | ) | [inline, virtual] |
Implements MuonResidualsFitter.
Definition at line 62 of file MuonResiduals6DOFFitter.h.
References MuonResidualsFitter::kGaussPowerTails, kNPar, MuonResidualsFitter::kPowerLawTails, MuonResidualsFitter::kPureGaussian, MuonResidualsFitter::kPureGaussian2D, MuonResidualsFitter::kROOTVoigt, and MuonResidualsFitter::residualsModel().
Referenced by plot().
{
if (residualsModel() == kPureGaussian || residualsModel() == kPureGaussian2D || residualsModel() == kGaussPowerTails) return kNPar - 4;
else if (residualsModel() == kPowerLawTails) return kNPar;
else if (residualsModel() == kROOTVoigt) return kNPar;
else assert(false);
}
| double MuonResiduals6DOFFitter::plot | ( | std::string | name, |
| TFileDirectory * | dir, | ||
| Alignable * | ali | ||
| ) | [virtual] |
Implements MuonResidualsFitter.
Definition at line 341 of file MuonResiduals6DOFFitter.cc.
References combineCards::bins, MuonResidualsFitter::errorerror(), i, kAlignPhiX, kAlignPhiY, kAlignPhiZ, kAlignX, kAlignY, kAlignZ, kAlphaX, kAlphaY, kAngleX, kAngleY, MuonResidualsFitter::kGaussPowerTails, kPositionX, kPositionY, MuonResidualsFitter::kPowerLawTails, MuonResidualsFitter::kPureGaussian, MuonResidualsFitter::kPureGaussian2D, kRedChi2, kResidX, kResidXGamma, kResidXSigma, kResidY, kResidYGamma, kResidYSigma, kResSlopeX, kResSlopeXGamma, kResSlopeXSigma, kResSlopeY, kResSlopeYGamma, kResSlopeYSigma, MuonResidualsFitter::kROOTVoigt, AlignableSurface::length(), MuonResidualsFitter::m_weightAlignment, TFileDirectory::make(), MuonResidualsFitter_GaussPowerTails_TF1(), MuonResidualsFitter_powerLawTails_TF1(), MuonResidualsFitter_pureGaussian_TF1(), MuonResidualsFitter_ROOTVoigt_TF1(), npar(), NULL, funct::pow(), alignCSCRings::r, MuonResidualsFitter::residuals_begin(), MuonResidualsFitter::residuals_end(), MuonResidualsFitter::residualsModel(), sumofweights(), Alignable::surface(), MuonResidualsFitter::value(), CommonMethods::weight(), AlignableSurface::width(), and tablePrinter::width.
{
sumofweights();
double mean_residualx = 0., mean_residualy = 0., mean_resslopex = 0., mean_resslopey = 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*12, 12) < 0.99) // no spikes allowed
{
double factor_w = 1./(sum_w + weight);
mean_residualx = factor_w * (sum_w * mean_residualx + weight * (*rit)[kResidX]);
mean_residualy = factor_w * (sum_w * mean_residualy + weight * (*rit)[kResidY]);
mean_resslopex = factor_w * (sum_w * mean_resslopex + weight * (*rit)[kResSlopeX]);
mean_resslopey = factor_w * (sum_w * mean_resslopey + weight * (*rit)[kResSlopeY]);
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_x, name_y, name_dxdz, name_dydz, name_x_raw, name_y_raw, name_dxdz_raw, name_dydz_raw, name_x_cut, name_y_cut, name_alphax, name_alphay;
std::string name_x_trackx, name_y_trackx, name_dxdz_trackx, name_dydz_trackx;
std::string name_x_tracky, name_y_tracky, name_dxdz_tracky, name_dydz_tracky;
std::string name_x_trackdxdz, name_y_trackdxdz, name_dxdz_trackdxdz, name_dydz_trackdxdz;
std::string name_x_trackdydz, name_y_trackdydz, name_dxdz_trackdydz, name_dydz_trackdydz;
name_x = name + "_x";
name_y = name + "_y";
name_dxdz = name + "_dxdz";
name_dydz = name + "_dydz";
name_x_raw = name + "_x_raw";
name_y_raw = name + "_y_raw";
name_dxdz_raw = name + "_dxdz_raw";
name_dydz_raw = name + "_dydz_raw";
name_x_cut = name + "_x_cut";
name_y_cut = name + "_y_cut";
name_alphax = name + "_alphax";
name_alphay = name + "_alphay";
name_x_trackx = name + "_x_trackx";
name_y_trackx = name + "_y_trackx";
name_dxdz_trackx = name + "_dxdz_trackx";
name_dydz_trackx = name + "_dydz_trackx";
name_x_tracky = name + "_x_tracky";
name_y_tracky = name + "_y_tracky";
name_dxdz_tracky = name + "_dxdz_tracky";
name_dydz_tracky = name + "_dydz_tracky";
name_x_trackdxdz = name + "_x_trackdxdz";
name_y_trackdxdz = name + "_y_trackdxdz";
name_dxdz_trackdxdz = name + "_dxdz_trackdxdz";
name_dydz_trackdxdz = name + "_dydz_trackdxdz";
name_x_trackdydz = name + "_x_trackdydz";
name_y_trackdydz = name + "_y_trackdydz";
name_dxdz_trackdydz = name + "_dxdz_trackdydz";
name_dydz_trackdydz = name + "_dydz_trackdydz";
double width = ali->surface().width();
double length = ali->surface().length();
int bins = 200;
double min_x = -100., max_x = 100.;
double min_y = -100., max_y = 100.;
double min_dxdz = -75., max_dxdz = 75.;
double min_dydz = -150., max_dydz = 150.;
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_x = dir->make<TH1F>(name_x.c_str(), "", bins, min_x, max_x);
TH1F *hist_y = dir->make<TH1F>(name_y.c_str(), "", bins, min_y, max_y);
TH1F *hist_dxdz = dir->make<TH1F>(name_dxdz.c_str(), "", bins, min_dxdz, max_dxdz);
TH1F *hist_dydz = dir->make<TH1F>(name_dydz.c_str(), "", bins, min_dydz, max_dydz);
TH1F *hist_x_raw = dir->make<TH1F>(name_x_raw.c_str(), "", bins, min_x, max_x);
TH1F *hist_y_raw = dir->make<TH1F>(name_y_raw.c_str(), "", bins, min_y, max_y);
TH1F *hist_dxdz_raw = dir->make<TH1F>(name_dxdz_raw.c_str(), "", bins, min_dxdz, max_dxdz);
TH1F *hist_dydz_raw = dir->make<TH1F>(name_dydz_raw.c_str(), "", bins, min_dydz, max_dydz);
TH1F *hist_x_cut = dir->make<TH1F>(name_x_cut.c_str(), "", bins, min_x, max_x);
TH1F *hist_y_cut = dir->make<TH1F>(name_y_cut.c_str(), "", bins, min_y, max_y);
TH2F *hist_alphax = dir->make<TH2F>(name_alphax.c_str(), "", 50, 50, 50, 50, -50., 50.);
TH2F *hist_alphay = dir->make<TH2F>(name_alphay.c_str(), "", 75, 100, 100, 75, -75., 75.);
TProfile *hist_x_trackx = dir->make<TProfile>(name_x_trackx.c_str(), "", 50, min_trackx, max_trackx, min_x, max_x);
TProfile *hist_y_trackx = dir->make<TProfile>(name_y_trackx.c_str(), "", 50, min_trackx, max_trackx, min_y, max_y);
TProfile *hist_dxdz_trackx = dir->make<TProfile>(name_dxdz_trackx.c_str(), "", 50, min_trackx, max_trackx, min_dxdz, max_dxdz);
TProfile *hist_dydz_trackx = dir->make<TProfile>(name_dydz_trackx.c_str(), "", 50, min_trackx, max_trackx, min_dydz, max_dydz);
TProfile *hist_x_tracky = dir->make<TProfile>(name_x_tracky.c_str(), "", 50, min_tracky, max_tracky, min_x, max_x);
TProfile *hist_y_tracky = dir->make<TProfile>(name_y_tracky.c_str(), "", 50, min_tracky, max_tracky, min_y, max_y);
TProfile *hist_dxdz_tracky = dir->make<TProfile>(name_dxdz_tracky.c_str(), "", 50, min_tracky, max_tracky, min_dxdz, max_dxdz);
TProfile *hist_dydz_tracky = dir->make<TProfile>(name_dydz_tracky.c_str(), "", 50, min_tracky, max_tracky, min_dydz, max_dydz);
TProfile *hist_x_trackdxdz = dir->make<TProfile>(name_x_trackdxdz.c_str(), "", 250, min_trackdxdz, max_trackdxdz, min_x, max_x);
TProfile *hist_y_trackdxdz = dir->make<TProfile>(name_y_trackdxdz.c_str(), "", 250, min_trackdxdz, max_trackdxdz, min_y, max_y);
TProfile *hist_dxdz_trackdxdz = dir->make<TProfile>(name_dxdz_trackdxdz.c_str(), "", 250, min_trackdxdz, max_trackdxdz, min_dxdz, max_dxdz);
TProfile *hist_dydz_trackdxdz = dir->make<TProfile>(name_dydz_trackdxdz.c_str(), "", 250, min_trackdxdz, max_trackdxdz, min_dydz, max_dydz);
TProfile *hist_x_trackdydz = dir->make<TProfile>(name_x_trackdydz.c_str(), "", 250, min_trackdydz, max_trackdydz, min_x, max_x);
TProfile *hist_y_trackdydz = dir->make<TProfile>(name_y_trackdydz.c_str(), "", 250, min_trackdydz, max_trackdydz, min_y, max_y);
TProfile *hist_dxdz_trackdydz = dir->make<TProfile>(name_dxdz_trackdydz.c_str(), "", 250, min_trackdydz, max_trackdydz, min_dxdz, max_dxdz);
TProfile *hist_dydz_trackdydz = dir->make<TProfile>(name_dydz_trackdydz.c_str(), "", 250, min_trackdydz, max_trackdydz, min_dydz, max_dydz);
hist_x_trackx->SetAxisRange(-10., 10., "Y");
hist_y_trackx->SetAxisRange(-20., 20., "Y");
hist_dxdz_trackx->SetAxisRange(-10., 10., "Y");
hist_dydz_trackx->SetAxisRange(-20., 20., "Y");
hist_x_tracky->SetAxisRange(-10., 10., "Y");
hist_y_tracky->SetAxisRange(-20., 20., "Y");
hist_dxdz_tracky->SetAxisRange(-10., 10., "Y");
hist_dydz_tracky->SetAxisRange(-20., 20., "Y");
hist_x_trackdxdz->SetAxisRange(-10., 10., "Y");
hist_y_trackdxdz->SetAxisRange(-20., 20., "Y");
hist_dxdz_trackdxdz->SetAxisRange(-10., 10., "Y");
hist_dydz_trackdxdz->SetAxisRange(-20., 20., "Y");
hist_x_trackdydz->SetAxisRange(-10., 10., "Y");
hist_y_trackdydz->SetAxisRange(-20., 20., "Y");
hist_dxdz_trackdydz->SetAxisRange(-10., 10., "Y");
hist_dydz_trackdydz->SetAxisRange(-20., 20., "Y");
name_x += "_fit";
name_y += "_fit";
name_dxdz += "_fit";
name_dydz += "_fit";
name_alphax += "_fit";
name_alphay += "_fit";
name_x_trackx += "_fit";
name_y_trackx += "_fit";
name_dxdz_trackx += "_fit";
name_dydz_trackx += "_fit";
name_x_tracky += "_fit";
name_y_tracky += "_fit";
name_dxdz_tracky += "_fit";
name_dydz_tracky += "_fit";
name_x_trackdxdz += "_fit";
name_y_trackdxdz += "_fit";
name_dxdz_trackdxdz += "_fit";
name_dydz_trackdxdz += "_fit";
name_x_trackdydz += "_fit";
name_y_trackdydz += "_fit";
name_dxdz_trackdydz += "_fit";
name_dydz_trackdydz += "_fit";
TF1 *fit_x = NULL;
TF1 *fit_y = NULL;
TF1 *fit_dxdz = NULL;
TF1 *fit_dydz = NULL;
if (residualsModel() == kPureGaussian || residualsModel() == kPureGaussian2D) {
fit_x = new TF1(name_x.c_str(), MuonResidualsFitter_pureGaussian_TF1, min_x, max_x, 3);
fit_x->SetParameters(sum_of_weights * (max_x - min_x)/bins, 10.*value(kAlignX), 10.*value(kResidXSigma));
const double er_x[3] = {0., 10.*errorerror(kAlignX), 10.*errorerror(kResidXSigma)};
fit_x->SetParErrors(er_x);
fit_y = new TF1(name_y.c_str(), MuonResidualsFitter_pureGaussian_TF1, min_y, max_y, 3);
fit_y->SetParameters(sum_of_weights * (max_y - min_y)/bins, 10.*value(kAlignY), 10.*value(kResidYSigma));
const double er_y[3] = {0., 10.*errorerror(kAlignY), 10.*errorerror(kResidYSigma)};
fit_y->SetParErrors(er_y);
fit_dxdz = new TF1(name_dxdz.c_str(), MuonResidualsFitter_pureGaussian_TF1, min_dxdz, max_dxdz, 3);
fit_dxdz->SetParameters(sum_of_weights * (max_dxdz - min_dxdz)/bins, 1000.*value(kAlignPhiY), 1000.*value(kResSlopeXSigma));
const double er_dxdz[3] = {0., 1000.*errorerror(kAlignPhiY), 1000.*errorerror(kResSlopeXSigma)};
fit_dxdz->SetParErrors(er_dxdz);
fit_dydz = new TF1(name_dydz.c_str(), MuonResidualsFitter_pureGaussian_TF1, min_dydz, max_dydz, 3);
fit_dydz->SetParameters(sum_of_weights * (max_dydz - min_dydz)/bins, -1000.*value(kAlignPhiX), 1000.*value(kResSlopeYSigma));
const double er_dydz[3] = {0., 1000.*errorerror(kAlignPhiX), 1000.*errorerror(kResSlopeYSigma)};
fit_dydz->SetParErrors(er_dydz);
}
else if (residualsModel() == kPowerLawTails) {
fit_x = new TF1(name_x.c_str(), MuonResidualsFitter_powerLawTails_TF1, min_x, max_x, 4);
fit_x->SetParameters(sum_of_weights * (max_x - min_x)/bins, 10.*value(kAlignX), 10.*value(kResidXSigma), 10.*value(kResidXGamma));
fit_y = new TF1(name_y.c_str(), MuonResidualsFitter_powerLawTails_TF1, min_y, max_y, 4);
fit_y->SetParameters(sum_of_weights * (max_y - min_y)/bins, 10.*value(kAlignY), 10.*value(kResidYSigma), 10.*value(kResidYGamma));
fit_dxdz = new TF1(name_dxdz.c_str(), MuonResidualsFitter_powerLawTails_TF1, min_dxdz, max_dxdz, 4);
fit_dxdz->SetParameters(sum_of_weights * (max_dxdz - min_dxdz)/bins, 1000.*value(kAlignPhiY), 1000.*value(kResSlopeXSigma), 1000.*value(kResSlopeXGamma));
fit_dydz = new TF1(name_dydz.c_str(), MuonResidualsFitter_powerLawTails_TF1, min_dydz, max_dydz, 4);
fit_dydz->SetParameters(sum_of_weights * (max_dydz - min_dydz)/bins, -1000.*value(kAlignPhiX), 1000.*value(kResSlopeYSigma), 1000.*value(kResSlopeYGamma));
}
else if (residualsModel() == kROOTVoigt) {
fit_x = new TF1(name_x.c_str(), MuonResidualsFitter_ROOTVoigt_TF1, min_x, max_x, 4);
fit_x->SetParameters(sum_of_weights * (max_x - min_x)/bins, 10.*value(kAlignX), 10.*value(kResidXSigma), 10.*value(kResidXGamma));
fit_y = new TF1(name_y.c_str(), MuonResidualsFitter_ROOTVoigt_TF1, min_y, max_y, 4);
fit_y->SetParameters(sum_of_weights * (max_y - min_y)/bins, 10.*value(kAlignY), 10.*value(kResidYSigma), 10.*value(kResidYGamma));
fit_dxdz = new TF1(name_dxdz.c_str(), MuonResidualsFitter_ROOTVoigt_TF1, min_dxdz, max_dxdz, 4);
fit_dxdz->SetParameters(sum_of_weights * (max_dxdz - min_dxdz)/bins, 1000.*value(kAlignPhiY), 1000.*value(kResSlopeXSigma), 1000.*value(kResSlopeXGamma));
fit_dydz = new TF1(name_dydz.c_str(), MuonResidualsFitter_ROOTVoigt_TF1, min_dydz, max_dydz, 4);
fit_dydz->SetParameters(sum_of_weights * (max_dydz - min_dydz)/bins, -1000.*value(kAlignPhiX), 1000.*value(kResSlopeYSigma), 1000.*value(kResSlopeYGamma));
}
else if (residualsModel() == kGaussPowerTails) {
fit_x = new TF1(name_x.c_str(), MuonResidualsFitter_GaussPowerTails_TF1, min_x, max_x, 3);
fit_x->SetParameters(sum_of_weights * (max_x - min_x)/bins, 10.*value(kAlignX), 10.*value(kResidXSigma));
fit_y = new TF1(name_y.c_str(), MuonResidualsFitter_GaussPowerTails_TF1, min_y, max_y, 3);
fit_y->SetParameters(sum_of_weights * (max_y - min_y)/bins, 10.*value(kAlignY), 10.*value(kResidYSigma));
fit_dxdz = new TF1(name_dxdz.c_str(), MuonResidualsFitter_GaussPowerTails_TF1, min_dxdz, max_dxdz, 3);
fit_dxdz->SetParameters(sum_of_weights * (max_dxdz - min_dxdz)/bins, 1000.*value(kAlignPhiY), 1000.*value(kResSlopeXSigma));
fit_dydz = new TF1(name_dydz.c_str(), MuonResidualsFitter_GaussPowerTails_TF1, min_dydz, max_dydz, 3);
fit_dydz->SetParameters(sum_of_weights * (max_dydz - min_dydz)/bins, -1000.*value(kAlignPhiX), 1000.*value(kResSlopeYSigma));
}
else { assert(false); }
fit_x->SetLineColor(2); fit_x->SetLineWidth(2); fit_x->Write();
fit_y->SetLineColor(2); fit_y->SetLineWidth(2); fit_y->Write();
fit_dxdz->SetLineColor(2); fit_dxdz->SetLineWidth(2); fit_dxdz->Write();
fit_dydz->SetLineColor(2); fit_dydz->SetLineWidth(2); fit_dydz->Write();
TF1 *fit_alphax = new TF1(name_alphax.c_str(), "[0] + x*[1]", min_dxdz, max_dxdz);
TF1 *fit_alphay = new TF1(name_alphay.c_str(), "[0] + x*[1]", min_dydz, max_dydz);
double aX = 10.*value(kAlignX), bX = 10.*value(kAlphaX)/1000.;
double aY = 10.*value(kAlignY), bY = 10.*value(kAlphaY)/1000.;
if (residualsModel() == kPureGaussian2D)
{
double sx = 10.*value(kResidXSigma), sy = 1000.*value(kResSlopeXSigma), r = value(kAlphaX);
aX = mean_residualx;
bX = 0.;
if ( sx != 0. )
{
bX = 1./(sy/sx*r);
aX = - bX * mean_resslopex;
}
sx = 10.*value(kResidYSigma); sy = 1000.*value(kResSlopeYSigma); r = value(kAlphaY);
aY = mean_residualx;
bY = 0.;
if ( sx != 0. )
{
bY = 1./(sy/sx*r);
aY = - bY * mean_resslopey;
}
}
fit_alphax->SetParameters(aX, bX);
fit_alphay->SetParameters(aY, bY);
fit_alphax->SetLineColor(2); fit_alphax->SetLineWidth(2); fit_alphax->Write();
fit_alphay->SetLineColor(2); fit_alphay->SetLineWidth(2); fit_alphay->Write();
TProfile *fit_x_trackx = dir->make<TProfile>(name_x_trackx.c_str(), "", 100, min_trackx, max_trackx);
TProfile *fit_y_trackx = dir->make<TProfile>(name_y_trackx.c_str(), "", 100, min_trackx, max_trackx);
TProfile *fit_dxdz_trackx = dir->make<TProfile>(name_dxdz_trackx.c_str(), "", 100, min_trackx, max_trackx);
TProfile *fit_dydz_trackx = dir->make<TProfile>(name_dydz_trackx.c_str(), "", 100, min_trackx, max_trackx);
TProfile *fit_x_tracky = dir->make<TProfile>(name_x_tracky.c_str(), "", 100, min_tracky, max_tracky);
TProfile *fit_y_tracky = dir->make<TProfile>(name_y_tracky.c_str(), "", 100, min_tracky, max_tracky);
TProfile *fit_dxdz_tracky = dir->make<TProfile>(name_dxdz_tracky.c_str(), "", 100, min_tracky, max_tracky);
TProfile *fit_dydz_tracky = dir->make<TProfile>(name_dydz_tracky.c_str(), "", 100, min_tracky, max_tracky);
TProfile *fit_x_trackdxdz = dir->make<TProfile>(name_x_trackdxdz.c_str(), "", 500, min_trackdxdz, max_trackdxdz);
TProfile *fit_y_trackdxdz = dir->make<TProfile>(name_y_trackdxdz.c_str(), "", 500, min_trackdxdz, max_trackdxdz);
TProfile *fit_dxdz_trackdxdz = dir->make<TProfile>(name_dxdz_trackdxdz.c_str(), "", 500, min_trackdxdz, max_trackdxdz);
TProfile *fit_dydz_trackdxdz = dir->make<TProfile>(name_dydz_trackdxdz.c_str(), "", 500, min_trackdxdz, max_trackdxdz);
TProfile *fit_x_trackdydz = dir->make<TProfile>(name_x_trackdydz.c_str(), "", 500, min_trackdydz, max_trackdydz);
TProfile *fit_y_trackdydz = dir->make<TProfile>(name_y_trackdydz.c_str(), "", 500, min_trackdydz, max_trackdydz);
TProfile *fit_dxdz_trackdydz = dir->make<TProfile>(name_dxdz_trackdydz.c_str(), "", 500, min_trackdydz, max_trackdydz);
TProfile *fit_dydz_trackdydz = dir->make<TProfile>(name_dydz_trackdydz.c_str(), "", 500, min_trackdydz, max_trackdydz);
fit_x_trackx->SetLineColor(2); fit_x_trackx->SetLineWidth(2);
fit_y_trackx->SetLineColor(2); fit_y_trackx->SetLineWidth(2);
fit_dxdz_trackx->SetLineColor(2); fit_dxdz_trackx->SetLineWidth(2);
fit_dydz_trackx->SetLineColor(2); fit_dydz_trackx->SetLineWidth(2);
fit_x_tracky->SetLineColor(2); fit_x_tracky->SetLineWidth(2);
fit_y_tracky->SetLineColor(2); fit_y_tracky->SetLineWidth(2);
fit_dxdz_tracky->SetLineColor(2); fit_dxdz_tracky->SetLineWidth(2);
fit_dydz_tracky->SetLineColor(2); fit_dydz_tracky->SetLineWidth(2);
fit_x_trackdxdz->SetLineColor(2); fit_x_trackdxdz->SetLineWidth(2);
fit_y_trackdxdz->SetLineColor(2); fit_y_trackdxdz->SetLineWidth(2);
fit_dxdz_trackdxdz->SetLineColor(2); fit_dxdz_trackdxdz->SetLineWidth(2);
fit_dydz_trackdxdz->SetLineColor(2); fit_dydz_trackdxdz->SetLineWidth(2);
fit_x_trackdydz->SetLineColor(2); fit_x_trackdydz->SetLineWidth(2);
fit_y_trackdydz->SetLineColor(2); fit_y_trackdydz->SetLineWidth(2);
fit_dxdz_trackdydz->SetLineColor(2); fit_dxdz_trackdydz->SetLineWidth(2);
fit_dydz_trackdydz->SetLineColor(2); fit_dydz_trackdydz->SetLineWidth(2);
name_x_trackx += "line";
name_y_trackx += "line";
name_dxdz_trackx += "line";
name_dydz_trackx += "line";
name_x_tracky += "line";
name_y_tracky += "line";
name_dxdz_tracky += "line";
name_dydz_tracky += "line";
name_x_trackdxdz += "line";
name_y_trackdxdz += "line";
name_dxdz_trackdxdz += "line";
name_dydz_trackdxdz += "line";
name_x_trackdydz += "line";
name_y_trackdydz += "line";
name_dxdz_trackdydz += "line";
name_dydz_trackdydz += "line";
TF1 *fitline_x_trackx = new TF1(name_x_trackx.c_str(), residual_x_trackx_TF1, min_trackx, max_trackx, 14);
TF1 *fitline_y_trackx = new TF1(name_y_trackx.c_str(), residual_y_trackx_TF1, min_trackx, max_trackx, 14);
TF1 *fitline_dxdz_trackx = new TF1(name_dxdz_trackx.c_str(), residual_dxdz_trackx_TF1, min_trackx, max_trackx, 14);
TF1 *fitline_dydz_trackx = new TF1(name_dydz_trackx.c_str(), residual_dydz_trackx_TF1, min_trackx, max_trackx, 14);
TF1 *fitline_x_tracky = new TF1(name_x_tracky.c_str(), residual_x_tracky_TF1, min_tracky, max_tracky, 14);
TF1 *fitline_y_tracky = new TF1(name_y_tracky.c_str(), residual_y_tracky_TF1, min_tracky, max_tracky, 14);
TF1 *fitline_dxdz_tracky = new TF1(name_dxdz_tracky.c_str(), residual_dxdz_tracky_TF1, min_tracky, max_tracky, 14);
TF1 *fitline_dydz_tracky = new TF1(name_dydz_tracky.c_str(), residual_dydz_tracky_TF1, min_tracky, max_tracky, 14);
TF1 *fitline_x_trackdxdz = new TF1(name_x_trackdxdz.c_str(), residual_x_trackdxdz_TF1, min_trackdxdz, max_trackdxdz, 14);
TF1 *fitline_y_trackdxdz = new TF1(name_y_trackdxdz.c_str(), residual_y_trackdxdz_TF1, min_trackdxdz, max_trackdxdz, 14);
TF1 *fitline_dxdz_trackdxdz = new TF1(name_dxdz_trackdxdz.c_str(), residual_dxdz_trackdxdz_TF1, min_trackdxdz, max_trackdxdz, 14);
TF1 *fitline_dydz_trackdxdz = new TF1(name_dydz_trackdxdz.c_str(), residual_dydz_trackdxdz_TF1, min_trackdxdz, max_trackdxdz, 14);
TF1 *fitline_x_trackdydz = new TF1(name_x_trackdydz.c_str(), residual_x_trackdydz_TF1, min_trackdydz, max_trackdydz, 14);
TF1 *fitline_y_trackdydz = new TF1(name_y_trackdydz.c_str(), residual_y_trackdydz_TF1, min_trackdydz, max_trackdydz, 14);
TF1 *fitline_dxdz_trackdydz = new TF1(name_dxdz_trackdydz.c_str(), residual_dxdz_trackdydz_TF1, min_trackdydz, max_trackdydz, 14);
TF1 *fitline_dydz_trackdydz = new TF1(name_dydz_trackdydz.c_str(), residual_dydz_trackdydz_TF1, min_trackdydz, max_trackdydz, 14);
std::vector<TF1*> fitlines;
fitlines.push_back(fitline_x_trackx);
fitlines.push_back(fitline_y_trackx);
fitlines.push_back(fitline_dxdz_trackx);
fitlines.push_back(fitline_dydz_trackx);
fitlines.push_back(fitline_x_tracky);
fitlines.push_back(fitline_y_tracky);
fitlines.push_back(fitline_dxdz_tracky);
fitlines.push_back(fitline_dydz_tracky);
fitlines.push_back(fitline_x_trackdxdz);
fitlines.push_back(fitline_y_trackdxdz);
fitlines.push_back(fitline_dxdz_trackdxdz);
fitlines.push_back(fitline_dydz_trackdxdz);
fitlines.push_back(fitline_x_trackdydz);
fitlines.push_back(fitline_y_trackdydz);
fitlines.push_back(fitline_dxdz_trackdydz);
fitlines.push_back(fitline_dydz_trackdydz);
double fitparameters[14] = {value(kAlignX), value(kAlignY), value(kAlignZ), value(kAlignPhiX), value(kAlignPhiY), value(kAlignPhiZ),
mean_trackx, mean_tracky, mean_trackdxdz, mean_trackdydz,
value(kAlphaX), mean_resslopex, value(kAlphaY), mean_resslopey};
if (residualsModel() == kPureGaussian2D) fitparameters[10] = fitparameters[12] = 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 residX = (*resiter)[kResidX];
const double residY = (*resiter)[kResidY];
const double resslopeX = (*resiter)[kResSlopeX];
const double resslopeY = (*resiter)[kResSlopeY];
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*12, 12) < 0.99) { // no spikes allowed
hist_alphax->Fill(1000.*resslopeX, 10.*residX);
hist_alphay->Fill(1000.*resslopeY, 10.*residY);
double coefX = value(kAlphaX), coefY = value(kAlphaY);
if (residualsModel() == kPureGaussian || residualsModel() == kPureGaussian2D) coefX = coefY = 0.;
double geom_residX = residual_x(value(kAlignX), value(kAlignY), value(kAlignZ), value(kAlignPhiX), value(kAlignPhiY), value(kAlignPhiZ), positionX, positionY, angleX, angleY, coefX, resslopeX);
hist_x->Fill(10.*(residX - geom_residX + value(kAlignX)), weight);
hist_x_trackx->Fill(positionX, 10.*residX, weight);
hist_x_tracky->Fill(positionY, 10.*residX, weight);
hist_x_trackdxdz->Fill(angleX, 10.*residX, weight);
hist_x_trackdydz->Fill(angleY, 10.*residX, weight);
fit_x_trackx->Fill(positionX, 10.*geom_residX, weight);
fit_x_tracky->Fill(positionY, 10.*geom_residX, weight);
fit_x_trackdxdz->Fill(angleX, 10.*geom_residX, weight);
fit_x_trackdydz->Fill(angleY, 10.*geom_residX, weight);
double geom_residY = residual_y(value(kAlignX), value(kAlignY), value(kAlignZ), value(kAlignPhiX), value(kAlignPhiY), value(kAlignPhiZ), positionX, positionY, angleX, angleY, coefY, resslopeY);
hist_y->Fill(10.*(residY - geom_residY + value(kAlignY)), weight);
hist_y_trackx->Fill(positionX, 10.*residY, weight);
hist_y_tracky->Fill(positionY, 10.*residY, weight);
hist_y_trackdxdz->Fill(angleX, 10.*residY, weight);
hist_y_trackdydz->Fill(angleY, 10.*residY, weight);
fit_y_trackx->Fill(positionX, 10.*geom_residY, weight);
fit_y_tracky->Fill(positionY, 10.*geom_residY, weight);
fit_y_trackdxdz->Fill(angleX, 10.*geom_residY, weight);
fit_y_trackdydz->Fill(angleY, 10.*geom_residY, weight);
double geom_resslopeX = residual_dxdz(value(kAlignX), value(kAlignY), value(kAlignZ), value(kAlignPhiX), value(kAlignPhiY), value(kAlignPhiZ), positionX, positionY, angleX, angleY);
hist_dxdz->Fill(1000.*(resslopeX - geom_resslopeX + value(kAlignPhiY)), weight);
hist_dxdz_trackx->Fill(positionX, 1000.*resslopeX, weight);
hist_dxdz_tracky->Fill(positionY, 1000.*resslopeX, weight);
hist_dxdz_trackdxdz->Fill(angleX, 1000.*resslopeX, weight);
hist_dxdz_trackdydz->Fill(angleY, 1000.*resslopeX, weight);
fit_dxdz_trackx->Fill(positionX, 1000.*geom_resslopeX, weight);
fit_dxdz_tracky->Fill(positionY, 1000.*geom_resslopeX, weight);
fit_dxdz_trackdxdz->Fill(angleX, 1000.*geom_resslopeX, weight);
fit_dxdz_trackdydz->Fill(angleY, 1000.*geom_resslopeX, weight);
double geom_resslopeY = residual_dydz(value(kAlignX), value(kAlignY), value(kAlignZ), value(kAlignPhiX), value(kAlignPhiY), value(kAlignPhiZ), positionX, positionY, angleX, angleY);
hist_dydz->Fill(1000.*(resslopeY - geom_resslopeY - value(kAlignPhiX)), weight);
hist_dydz_trackx->Fill(positionX, 1000.*resslopeY, weight);
hist_dydz_tracky->Fill(positionY, 1000.*resslopeY, weight);
hist_dydz_trackdxdz->Fill(angleX, 1000.*resslopeY, weight);
hist_dydz_trackdydz->Fill(angleY, 1000.*resslopeY, weight);
fit_dydz_trackx->Fill(positionX, 1000.*geom_resslopeY, weight);
fit_dydz_tracky->Fill(positionY, 1000.*geom_resslopeY, weight);
fit_dydz_trackdxdz->Fill(angleX, 1000.*geom_resslopeY, weight);
fit_dydz_trackdydz->Fill(angleY, 1000.*geom_resslopeY, weight);
}
hist_x_raw->Fill(10.*residX);
hist_y_raw->Fill(10.*residY);
hist_dxdz_raw->Fill(1000.*resslopeX);
hist_dydz_raw->Fill(1000.*resslopeY);
if (fabs(resslopeX) < 0.005) hist_x_cut->Fill(10.*residX);
if (fabs(resslopeY) < 0.030) hist_y_cut->Fill(10.*residY);
}
double chi2 = 0.;
double ndof = 0.;
for (int i = 1; i <= hist_x->GetNbinsX(); i++) {
double xi = hist_x->GetBinCenter(i);
double yi = hist_x->GetBinContent(i);
double yerri = hist_x->GetBinError(i);
double yth = fit_x->Eval(xi);
if (yerri > 0.) {
chi2 += pow((yth - yi)/yerri, 2);
ndof += 1.;
}
}
for (int i = 1; i <= hist_y->GetNbinsX(); i++) {
double xi = hist_y->GetBinCenter(i);
double yi = hist_y->GetBinContent(i);
double yerri = hist_y->GetBinError(i);
double yth = fit_y->Eval(xi);
if (yerri > 0.) {
chi2 += pow((yth - yi)/yerri, 2);
ndof += 1.;
}
}
for (int i = 1; i <= hist_dxdz->GetNbinsX(); i++) {
double xi = hist_dxdz->GetBinCenter(i);
double yi = hist_dxdz->GetBinContent(i);
double yerri = hist_dxdz->GetBinError(i);
double yth = fit_dxdz->Eval(xi);
if (yerri > 0.) {
chi2 += pow((yth - yi)/yerri, 2);
ndof += 1.;
}
}
for (int i = 1; i <= hist_dydz->GetNbinsX(); i++) {
double xi = hist_dydz->GetBinCenter(i);
double yi = hist_dydz->GetBinContent(i);
double yerri = hist_dydz->GetBinError(i);
double yth = fit_dydz->Eval(xi);
if (yerri > 0.) {
chi2 += pow((yth - yi)/yerri, 2);
ndof += 1.;
}
}
ndof -= npar();
return (ndof > 0. ? chi2 / ndof : -1.);
}
| TTree * MuonResiduals6DOFFitter::readNtuple | ( | std::string | fname, |
| unsigned int | wheel, | ||
| unsigned int | station, | ||
| unsigned int | sector, | ||
| unsigned int | preselected = 1 |
||
| ) |
Definition at line 796 of file MuonResiduals6DOFFitter.cc.
References MuonResidualsFitter::MuonAlignmentTreeRow::angle_x, MuonResidualsFitter::MuonAlignmentTreeRow::angle_y, f, MuonResidualsFitter::fill(), i, kAngleX, kAngleY, kCharge, kNData, kPositionX, kPositionY, kPt, kPz, kRedChi2, kResidX, kResidY, kResSlopeX, kResSlopeY, MuonResidualsFitter::MuonAlignmentTreeRow::pos_x, MuonResidualsFitter::MuonAlignmentTreeRow::pos_y, MuonResidualsFitter::MuonAlignmentTreeRow::pt, MuonResidualsFitter::MuonAlignmentTreeRow::pz, MuonResidualsFitter::MuonAlignmentTreeRow::q, alignCSCRings::r, MuonResidualsFitter::MuonAlignmentTreeRow::res_slope_x, MuonResidualsFitter::MuonAlignmentTreeRow::res_slope_y, MuonResidualsFitter::MuonAlignmentTreeRow::res_x, MuonResidualsFitter::MuonAlignmentTreeRow::res_y, lumiQTWidget::t, and groupFilesInBlocks::tt.
{
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!=0);
// 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("res_y", &r.res_y);
tt->SetBranchAddress("res_slope_y", &r.res_slope_y);
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[MuonResiduals6DOFFitter::kNData];
rdata[kResidX] = r.res_x;
rdata[kResidY] = r.res_y;
rdata[kResSlopeX] = r.res_slope_x;
rdata[kResSlopeY] = r.res_slope_y;
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;
}
| double MuonResiduals6DOFFitter::sumofweights | ( | ) | [virtual] |
Implements MuonResidualsFitter.
Definition at line 231 of file MuonResiduals6DOFFitter.cc.
References kRedChi2, MuonResidualsFitter::m_weightAlignment, MuonResidualsFitter::residuals_begin(), and MuonResidualsFitter::residuals_end().
Referenced by fit(), and plot().
{
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)[kRedChi2];
if (TMath::Prob(redchi2*12, 12) < 0.99) { // no spikes allowed
sum_of_weights += 1./redchi2;
number_of_hits += 1.;
}
}
else {
sum_of_weights += 1.;
number_of_hits += 1.;
}
}
return sum_of_weights;
}
| int MuonResiduals6DOFFitter::type | ( | ) | const [inline, virtual] |
Implements MuonResidualsFitter.
Definition at line 60 of file MuonResiduals6DOFFitter.h.
References MuonResidualsFitter::k6DOF.
{ return MuonResidualsFitter::k6DOF; }
1.7.3