bool operator()(T const* const sT_wa, T* sResiduals) const {
Eigen::Map<Sophus::SE3<T> const> const T_wa(sT_wa);
Eigen::Map<Eigen::Matrix<T, 6, 1> > residuals(sResiduals);
residuals = (T_aw.cast<T>() * T_wa).log();
return true;
}
void run_lasso_computation(ProblemData<L, D> &inst, std::vector<D> &h_Li,
int omp_threads, D sigma, int N, int blockReduction,
std::vector<gsl_rng *>& rs, ofstream& experimentLogFile,int multiply=100) {
omp_set_num_threads(omp_threads);
init_random_seeds(rs);
L n = inst.n;
L m = inst.m;
std::vector<D> residuals(m);
Losses<L, D, square_loss_traits>::bulkIterations(inst, residuals);
D fvalInit = Losses<L, D, square_loss_traits>::compute_fast_objective(inst,
residuals);
double totalRunningTime = 0;
double iterations = 0;
L perPartIterations =multiply* n / blockReduction;
double additional = perPartIterations / (0.0 + n);
D fval = fvalInit;
// store initial objective value
experimentLogFile << setprecision(16) << omp_threads << "," << n << "," << m
<< "," << sigma << "," << totalRunningTime << "," << iterations
<< "," << fval << endl;
//iterate
for (int totalIt = 0; totalIt < N; totalIt++) {
double startTime = gettime_();
#pragma omp parallel for
for (L it = 0; it < perPartIterations; it++) {
// one step of the algorithm
unsigned long int idx = gsl_rng_uniform_int(gsl_rng_r, n);
Losses<L, D, square_loss_traits>::do_single_iteration_parallel(inst,
idx, residuals, inst.x, h_Li);
}
double endTime = gettime_();
iterations += additional;
totalRunningTime += endTime - startTime;
// recompute residuals - this step is not necessary but if accumulation of rounding errors occurs it is useful
if (totalIt % 3 == 0) {
Losses<L, D, square_loss_traits>::bulkIterations(inst,
residuals);
}
fval = Losses<L, D, square_loss_traits>::compute_fast_objective(inst,
residuals);
int nnz = 0;
#pragma omp parallel for reduction(+:nnz)
for (L i = 0; i < n; i++)
if (inst.x[i] != 0)
nnz++;
cout << omp_threads << "," << n << "," << m << "," << sigma << ","
<< totalRunningTime << "," << iterations << "," << setprecision(15)<<fval << ","
<< nnz << endl;
experimentLogFile << setprecision(16) << omp_threads << "," << n << ","
<< m << "," << sigma << "," << totalRunningTime << ","
<< iterations << "," << setprecision(15)<<fval << "," << nnz << endl;
}
}
//////////////////////////////////////////////////////////////////////////////////////////////////////////////
// refineEssential
//////////////////////////////////////////////////////////////////////////////////////////////////////////////
bool EssentialRefiner::getReprojectionErrors(const FeatureMatch &match,
const cv::Vec3d &rparams,
const cv::Vec3d &translation,
MatchReprojectionErrors &errors)
{
EpipolarSegmentErrorForPose err(*match.sourceMeasurement, match.measurement, (float)FLAGS_MinDepth);
std::vector<double> residuals(EpipolarSegmentErrorForPose::kResidualsPerItem*err.getPointCount());
err.computeAllResiduals(rparams.val, translation.val, residuals.data());
CeresUtils::ResidualsToErrors<EpipolarSegmentErrorForPose::kResidualsPerItem>(err.getPointCount(), residuals, mOutlierPixelThresholdSq, errors);
return errors.isInlier;
}
bool PnPRefiner::getReprojectionErrors2D(const FeatureMatch &match,
const cv::Matx33f &R,
const cv::Vec3f &translation,
MatchReprojectionErrors &errors)
{
int pcount = match.measurement.getPositionCount();
EpipolarSegmentErrorForPose err(*match.measurement.getFeature().getMeasurements()[0], match.measurement, (float)FLAGS_MinDepth);
std::vector<float> residuals(pcount*EpipolarSegmentErrorForPose::kResidualsPerItem);
err.computeAllResiduals(R, translation, residuals);
CeresUtils::ResidualsToErrors<EpipolarSegmentErrorForPose::kResidualsPerItem>(pcount, residuals, mOutlierPixelThresholdSq, errors);
return errors.isInlier;
}
void SpatialWellFilter::calculateFilteredLogs(const NRLib::Matrix & Aw,
BlockedLogsCommon * blockedlogs,
int n,
bool useVs)
//------------------------------------------------------------------------------
{
int nLogs = 2;
if(useVs == true)
nLogs++;
NRLib::Vector residuals(nLogs*n);
int currentEnd = 0;
const std::vector<double> & vp = blockedlogs->GetVpBlocked();
const std::vector<double> & bg_vp = blockedlogs->GetVpHighCutBackground();
MakeInterpolatedResiduals(vp, bg_vp, n, currentEnd, residuals);
currentEnd += n;
const std::vector<double> & vs = blockedlogs->GetVsBlocked();
const std::vector<double> & bg_vs = blockedlogs->GetVsHighCutBackground();
if(useVs == true) {
MakeInterpolatedResiduals(vs, bg_vs, n, currentEnd, residuals);
currentEnd += n;
}
const std::vector<double> & rho = blockedlogs->GetRhoBlocked();
const std::vector<double> & bg_rho = blockedlogs->GetRhoHighCutBackground();
MakeInterpolatedResiduals(rho, bg_rho, n, currentEnd, residuals);
NRLib::Vector filteredVal = Aw * residuals;
std::vector<double> vpFiltered(n);
std::vector<double> vsFiltered(n);
std::vector<double> rhoFiltered(n);
for(int i=0;i<n;i++)
{
int offset = 0;
if(vp[i] == RMISSING)
vpFiltered[i] = 0.0;
else
vpFiltered[i] = static_cast<double>(filteredVal(i+offset));
offset += n;
if(useVs == true) {
if(vs[i] == RMISSING)
vsFiltered[i] = 0.0;
else
vsFiltered[i] = static_cast<double>(filteredVal(i+offset));
offset += n;
}
if(rho[i] == RMISSING)
rhoFiltered[i] = 0.0;
else
rhoFiltered[i] = static_cast<double>(filteredVal(i+offset));
}
if(useVs == true) {
blockedlogs->SetSpatialFilteredLogs(vpFiltered, n, "VP_SEISMIC_RESOLUTION", bg_vp);
blockedlogs->SetSpatialFilteredLogs(vsFiltered, n, "VS_SEISMIC_RESOLUTION", bg_vs);
blockedlogs->SetSpatialFilteredLogs(rhoFiltered, n, "RHO_SEISMIC_RESOLUTION", bg_rho);
}
else {
blockedlogs->SetSpatialFilteredLogs(vpFiltered, n, "VP_FOR_FACIES", bg_vp);
blockedlogs->SetSpatialFilteredLogs(rhoFiltered, n, "RHO_FOR_FACIES", bg_rho);
}
}
double LeastMedianOfSquares(const Kernel &kernel,
typename Kernel::Model * model = NULL,
double* outlierThreshold = NULL,
double outlierRatio=0.5,
double minProba=0.99)
{
const size_t min_samples = Kernel::MINIMUM_SAMPLES;
const size_t total_samples = kernel.NumSamples();
std::vector<double> residuals(total_samples); // Array for storing residuals
std::vector<size_t> vec_sample(min_samples);
double dBestMedian = std::numeric_limits<double>::max();
// Required number of iterations is evaluated from outliers ratio
const size_t N = (min_samples<total_samples)?
getNumSamples(minProba, outlierRatio, min_samples): 0;
for (size_t i=0; i < N; i++) {
// Get Samples indexes
UniformSample(min_samples, total_samples, &vec_sample);
// Estimate parameters: the solutions are stored in a vector
std::vector<typename Kernel::Model> models;
kernel.Fit(vec_sample, &models);
// Now test the solutions on the whole data
for (size_t k = 0; k < models.size(); ++k) {
//Compute Residuals :
for (size_t l = 0; l < total_samples; ++l) {
double error = kernel.Error(l, models[k]);
residuals[l] = error;
}
// Compute median
std::vector<double>::iterator itMedian = residuals.begin() +
std::size_t( total_samples*(1.-outlierRatio) );
std::nth_element(residuals.begin(), itMedian, residuals.end());
double median = *itMedian;
// Store best solution
if(median < dBestMedian) {
dBestMedian = median;
if (model) (*model) = models[k];
}
}
}
// This array of precomputed values corresponds to the inverse
// cumulative function for a normal distribution. For more information
// consult the litterature (Robust Regression for Outlier Detection,
// rouseeuw-leroy). The values are computed for each 5%
static const double ICDF[21] = {
1.4e16, 15.94723940, 7.957896558, 5.287692054,
3.947153876, 3.138344200, 2.595242369, 2.203797543,
1.906939402, 1.672911853, 1.482602218, 1.323775627,
1.188182950, 1.069988721, 0.9648473415, 0.8693011162,
0.7803041458, 0.6946704675, 0.6079568319,0.5102134568,
0.3236002672
};
// Evaluate the outlier threshold
if(outlierThreshold) {
double sigma = ICDF[int((1.-outlierRatio)*20.)] *
(1. + 5. / double(total_samples - min_samples));
*outlierThreshold = (double)(sigma * sigma * dBestMedian * 4.);
if (N==0) *outlierThreshold = std::numeric_limits<double>::max();
}
return dBestMedian;
}
void validation()
{
msglvl[DBG] = SILENT;
msglvl[INF] = VISUAL;
msglvl[WRN] = VISUAL;
msglvl[ERR] = VISUAL;
msglvl[FAT] = VISUAL;
TDirectory* oldDir = gDirectory; // remember old directory
style();
Int_t g4bin = (ng4bins/g4max+1); //==> g^4=1 ==> SSM !
TString suffix = "";
if(doTruth) suffix = "_truth";
TString mctype = (isMC11c) ? "mc11c" : "mc11a";
// TString fBGname = "plots/ZP_2dtemplates_"+mctype+"_33st_overallEWkF_noInAmpSigEWkF_noHighMbins_wthOfficialZP_Xmass2000.root";
// TString fBGname = "plots/ZP_2dtemplates_"+mctype+"_33st_noKKtmplates_overallEWkF_noInAmpSigEWkF_noTruth_wthOfficialZP_treeLevelMass_Xmass2000.root";
// TString fBGname = "plots/ZP_2dtemplates_"+mctype+"_33st_noKKtmplates_overallEWkF_noInAmpSigEWkF_wthOfficialZP_treeLevelMass_Xmass2000.root";
// TString fBGname = "plots/ZP_2dtemplates_mc11c_33st_noKKtmplates_overallEWkF_noInAmpSigEWkF_wthOfficialZP_fixedBWwidth_treeLevelMass_Xmass2000.root";
// TString fBGname = "plots/ZP_2dtemplates_mc11c_33st_noKKtmplates_overallEWkF_noInAmpSigEWkF_noTruth_wthOfficialZP_treeLevelMass_Xmass2000.root";
// TString fBGname = "plots/ZP_2dtemplates_"+mctype+"_33st_noKKtmplates_overallEWkF_noInAmpSigEWkF_noTruth_wthOfficialZP_treeLevelMass_Xmass2000.root";
// TString fBGname = "plots/ZP_2dtemplates_"+mctype+"_33st_noKKtmplates_overallEWkF_noInAmpSigEWkF_noTruth_wthOfficialZP_fixedBWwidth_treeLevelMass_Xmass2000.root";
TLegend* legR = new TLegend(0.15,0.75,0.35,0.85,NULL,"brNDC");
legR->SetFillStyle(4000); //will be transparent
legR->SetFillColor(0);
legR->SetTextFont(42);
TH1D* hDummy = new TH1D("","",1,0.,1.);
hDummy->SetMarkerStyle(20);
hDummy->SetMarkerSize(0.8);
hDummy->SetMarkerColor(kBlack);
if(!doResiduals) legR->AddEntry(hDummy,"#frac{template}{official}","lep");
else legR->AddEntry(hDummy,"#frac{template - official}{#sqrt{#delta^{2}template + #delta^{2}official}}","lep");
TPaveText* ptxt = new TPaveText(0.145,0.35,0.245,0.55,"NDC");
TText* txt;
ptxt->SetTextSize(0.03);
ptxt->SetBorderSize(0);
ptxt->SetFillStyle(4000); //will be transparent
ptxt->SetFillColor(0);
ptxt->SetTextAlign(12);
txt = ptxt->AddText("This range");
txt = ptxt->AddText("is chopped");
txt = ptxt->AddText("before the");
txt = ptxt->AddText("template is");
txt = ptxt->AddText("handed to");
txt = ptxt->AddText("BAT (limit).");
oldDir->cd();
TString fBGname = "plots/validation/ZP_2dtemplates_mc11c_33st_noKKtmplates_wthOfficialZP_treeLevelMass_Xmass2000.root";
TFile* fD = new TFile(fBGname,"READ");
TH1D* hDY = NULL;
if(doTruth) hDY = (TH1D*)fD->Get("hMass_DYmumu_truth")->Clone();
else hDY = (TH1D*)fD->Get("hMass_DYmumu")->Clone();
hDY->SetLineColor(kMagenta-5);
hDY->SetMarkerColor(kMagenta-5);
oldDir->cd();
TFile* fDYrozmin = new TFile("plots/mass_plot_tables_3st.root","READ");
TH1D* hDYrozmin = (TH1D*)fDYrozmin->Get("mass_log_dy")->Clone();
hDYrozmin = (TH1D*)hGeV2TeV(hDYrozmin)->Clone();
hDYrozmin = (TH1D*)hChopper(hDYrozmin,bins2chop)->Clone();
oldDir->cd();
TFile* f1dTemplates = new TFile("plots/ZpSignal_MM_MC11c_5points.root","READ");
TObjArray* toarr1d = new TObjArray();
toarr1d->Read("template");
TMapTSP2TH1D h1dBrandeisTmpltMap;
double Nflat = 399948;
double sigmaflat = 4.3988E+07*nb2fb;
double Lmcflat = Nflat/sigmaflat;
double scale = luminosity/Lmcflat;
TH1D* h1dTmp = NULL;
h1dTmp = (TH1D*)((TObjArray*)toarr1d->At(0/*22*/))->Clone();
h1dTmp->Scale(scale);
h1dTmp = (TH1D*)hChopper(h1dTmp,bins2chop)->Clone();
h1dTmp->Add(hDYrozmin);
h1dBrandeisTmpltMap.insert( make_pair("1000",(TH1D*)resetErrors(h1dTmp)->Clone("1000")) );
h1dTmp = NULL;
h1dTmp = (TH1D*)((TObjArray*)toarr1d->At(1/*28*/))->Clone();
h1dTmp->Scale(scale);
h1dTmp = (TH1D*)hChopper(h1dTmp,bins2chop)->Clone();
h1dTmp->Add(hDYrozmin);
h1dBrandeisTmpltMap.insert( make_pair("1250",(TH1D*)resetErrors(h1dTmp)->Clone("1250")) );
h1dTmp = NULL;
h1dTmp = (TH1D*)((TObjArray*)toarr1d->At(2/*34*/))->Clone();
h1dTmp->Scale(scale);
h1dTmp = (TH1D*)hChopper(h1dTmp,bins2chop)->Clone();
h1dTmp->Add(hDYrozmin);
h1dBrandeisTmpltMap.insert( make_pair("1500",(TH1D*)resetErrors(h1dTmp)->Clone("1500")) );
h1dTmp = NULL;
h1dTmp = (TH1D*)((TObjArray*)toarr1d->At(3/*40*/))->Clone();
h1dTmp->Scale(scale);
h1dTmp = (TH1D*)hChopper(h1dTmp,bins2chop)->Clone();
h1dTmp->Add(hDYrozmin);
h1dBrandeisTmpltMap.insert( make_pair("1750",(TH1D*)resetErrors(h1dTmp)->Clone("1750")) );
h1dTmp = NULL;
h1dTmp = (TH1D*)((TObjArray*)toarr1d->At(4/*47*/))->Clone();
h1dTmp->Scale(scale);
h1dTmp = (TH1D*)hChopper(h1dTmp,bins2chop)->Clone();
h1dTmp->Add(hDYrozmin);
h1dBrandeisTmpltMap.insert( make_pair("2000",(TH1D*)resetErrors(h1dTmp)->Clone("2000")) );
oldDir->cd();
TMapTSP2TH1D h1Map;
h1Map.insert( make_pair("1000o", (TH1D*)fD->Get("hMass_Zprime_SSM1000"+suffix)->Clone()) );
h1Map.insert( make_pair("1000t", (TH1D*)fD->Get("hMass_Zprime_SSM1000_template"+suffix)->Clone()) );
if(isMC11c)
{
h1Map.insert( make_pair("1250o", (TH1D*)fD->Get("hMass_Zprime_SSM1250"+suffix)->Clone()) );
h1Map.insert( make_pair("1250t", (TH1D*)fD->Get("hMass_Zprime_SSM1250_template"+suffix)->Clone()) );
}
h1Map.insert( make_pair("1500o", (TH1D*)fD->Get("hMass_Zprime_SSM1500"+suffix)->Clone()) );
h1Map.insert( make_pair("1500t", (TH1D*)fD->Get("hMass_Zprime_SSM1500_template"+suffix)->Clone()) );
h1Map.insert( make_pair("1750o", (TH1D*)fD->Get("hMass_Zprime_SSM1750"+suffix)->Clone()) );
h1Map.insert( make_pair("1750t", (TH1D*)fD->Get("hMass_Zprime_SSM1750_template"+suffix)->Clone()) );
h1Map.insert( make_pair("2000o", (TH1D*)fD->Get("hMass_Zprime_SSM2000"+suffix)->Clone()) );
h1Map.insert( make_pair("2000t", (TH1D*)fD->Get("hMass_Zprime_SSM2000_template"+suffix)->Clone()) );
TMapTSP2TH1D h1rMap;
h1rMap.insert( make_pair("1000", (TH1D*)fD->Get("hMass_Zprime_SSM1000"+suffix)->Clone()) );
if(isMC11c) h1rMap.insert( make_pair("1250", (TH1D*)fD->Get("hMass_Zprime_SSM1250"+suffix)->Clone()) );
h1rMap.insert( make_pair("1500", (TH1D*)fD->Get("hMass_Zprime_SSM1500"+suffix)->Clone()) );
h1rMap.insert( make_pair("1750", (TH1D*)fD->Get("hMass_Zprime_SSM1750"+suffix)->Clone()) );
h1rMap.insert( make_pair("2000", (TH1D*)fD->Get("hMass_Zprime_SSM2000"+suffix)->Clone()) );
for(TMapTSP2TH1D::iterator it=h1rMap.begin() ; it!=h1rMap.end() ; ++it)
{
it->second->Reset();
if(!doResiduals) it->second->Divide(h1Map[it->first+"o"],h1Map[it->first+"t"],1.,1.,"B");
else residuals(h1Map[it->first+"o"], h1Map[it->first+"t"], it->second);
// for(Int_t i=0 ; i<=it->second->GetNbinsX()+1 ; i++) it->second->SetBinError(i,0);
it->second->SetMarkerStyle(20);
it->second->SetMarkerSize(0.5);
it->second->GetXaxis()->SetLabelSize(0.073);
it->second->GetYaxis()->SetLabelSize(0.073);
it->second->GetXaxis()->SetTitleSize(0.073);
it->second->GetYaxis()->SetTitleSize(0.073);
it->second->SetTitleSize(0.075);
it->second->GetYaxis()->SetTitleOffset(0.5);
if(!doResiduals)
{
it->second->SetMinimum(0.2);
it->second->SetMaximum(1.8);
}
else
{
it->second->SetMinimum(-5.);
it->second->SetMaximum(+5.);
}
it->second->SetTitle("");
if(!doResiduals) it->second->GetYaxis()->SetTitle("ratio");
else it->second->GetYaxis()->SetTitle("residuals");
}
TMapTSP2TGAE poissonGraphMap;
TMapTSP2TLeg legMap;
_INFO("");
oldDir->cd();
fD->cd();
TH1D* h1Template = (TH1D*)fD->Get("hMass_DYmumu"+suffix)->Clone();
h1Template->Reset();
TObjArray* toarr = new TObjArray();
if(doTruth) toarr->Read("truth_template2d");
else toarr->Read("template2d");
TH2D* h2SSM2000 = (TH2D*)((TObjArray*)toarr->At(0))->Clone("hMass"+suffix+"_Zprime_SSM2000_template2d");
for(Int_t bin=1 ; bin<=h2SSM2000->GetNbinsX() ; bin++)
{
h1Template->SetBinContent(bin, h2SSM2000->GetBinContent(bin,g4bin));
h1Template->SetBinError(bin, h2SSM2000->GetBinError(bin,g4bin));
}
h1Template->SetLineColor(kViolet);
h1Template->SetLineWidth(1);
h1Template->SetMarkerStyle(20);
h1Template->SetMarkerSize(0.3);
h1Template->SetMarkerColor(kViolet);
// the functions
h2Template = (TH2D*)h2SSM2000->Clone();
vector<TF1*> vfunc;
unsigned int nmllbins = h2Template->GetNbinsX();
for(unsigned int mll=1 ; mll<=(nmllbins-bins2chop) ; mll++) // 1...(56-9 = 47)
{
TString mllname = (TString)_s(mll);
TString mllval = (TString)_s(h2Template->GetXaxis()->GetBinCenter(mll+bins2chop));
TF1* f = new TF1("fNominal_mll"+mllname,fTH1toTF1,g4min,g4max,1);
f->SetParameter(0,mll);
f->SetParNames("mll");
// f->SetLineColor(kBlue);
// f->SetLineWidth(1);
f->SetNpx(400);
vfunc.push_back(f);
}
TGraph* graphDY = new TGraph();
graphDY->SetMarkerStyle(25);
graphDY->SetMarkerSize(0.6);
graphDY->SetMarkerColor(kGreen+2);
TGraph* graphSSM = new TGraph();
graphSSM->SetMarkerStyle(24);
graphSSM->SetMarkerSize(0.6);
graphSSM->SetMarkerColor(kOrange+8);
for(unsigned int i=0 ; i<vfunc.size() ; i++)
{
double DY = vfunc[i]->Eval(0.0);
double SSM = vfunc[i]->Eval(1.0);
graphDY->SetPoint(i,h2Template->GetXaxis()->GetBinCenter(bins2chop+i+1),DY);
graphSSM->SetPoint(i,h2Template->GetXaxis()->GetBinCenter(bins2chop+i+1),SSM);
}
oldDir->cd();
TObjArray* toarr1dTLV = new TObjArray();
TMapTSP2TH1D h1dTlvTmpltMap;
TFile* fT = NULL;
TString fTname = "plots/validation/ZP_2dtemplates_mc11c_33st_noInterference_noKKtmplates_noOverallEWkF_wthOfficialZP_treeLevelMass_Xmass";
fT = new TFile(fTname+"1000.root","READ");
toarr1dTLV->Read("template");
h1dTmp = (TH1D*)((TObjArray*)toarr1dTLV->At(0))->Clone();
h1dTmp->Add(hDY);
h1dTlvTmpltMap.insert( make_pair("1000",(TH1D*)resetErrors(h1dTmp)->Clone("1000")) );
fT = new TFile(fTname+"1250.root","READ");
toarr1dTLV->Read("template");
h1dTmp = (TH1D*)((TObjArray*)toarr1dTLV->At(0))->Clone();
h1dTmp->Add(hDY);
h1dTlvTmpltMap.insert( make_pair("1250",(TH1D*)resetErrors(h1dTmp)->Clone("1250")) );
fT = new TFile(fTname+"1500.root","READ");
toarr1dTLV->Read("template");
h1dTmp = (TH1D*)((TObjArray*)toarr1dTLV->At(0))->Clone();
h1dTmp->Add(hDY);
h1dTlvTmpltMap.insert( make_pair("1500",(TH1D*)resetErrors(h1dTmp)->Clone("1500")) );
fT = new TFile(fTname+"1750.root","READ");
toarr1dTLV->Read("template");
h1dTmp = (TH1D*)((TObjArray*)toarr1dTLV->At(0))->Clone();
h1dTmp->Add(hDY);
h1dTlvTmpltMap.insert( make_pair("1750",(TH1D*)resetErrors(h1dTmp)->Clone("1750")) );
fT = new TFile(fTname+"2000.root","READ");
toarr1dTLV->Read("template");
h1dTmp = (TH1D*)((TObjArray*)toarr1dTLV->At(0))->Clone();
h1dTmp->Add(hDY);
h1dTlvTmpltMap.insert( make_pair("2000",(TH1D*)resetErrors(h1dTmp)->Clone("2000")) );
oldDir->cd();
for(TMapTSP2TH1D::iterator it=h1Map.begin() ; it!=h1Map.end() ; ++it)
{
if(it->first.Contains("o"))
{
TString name = it->first;
name.ReplaceAll("o","");
it->second->SetFillColor(kAzure-9);
if(doTruth) it->second->SetTitle("m_{Z'} = "+name+" GeV (truth)");
else it->second->SetTitle("m_{Z'} = "+name+" GeV");
}
if(it->first.Contains("t"))
{
//TGraphAsymmErrors* poisson(TH1D* h)
it->second->SetLineColor(kBlue);
it->second->SetMarkerStyle(20);
it->second->SetMarkerSize(0.4);
it->second->SetMarkerColor(kBlue);
it->second->SetLineWidth(1);
TString name = it->first;
name.ReplaceAll("t","");
poissonGraphMap.insert( make_pair(name, (TGraphAsymmErrors*)poisson(it->second)->Clone()) );
poissonGraphMap[name]->SetMarkerStyle(20);
poissonGraphMap[name]->SetMarkerSize(0.3);
poissonGraphMap[name]->SetMarkerColor(kBlue);
poissonGraphMap[name]->SetLineWidth(1);
poissonGraphMap[name]->SetLineColor(kBlue);
}
}
Double_t yLine = (!doResiduals) ? 1. : 0.;
TLine* line = new TLine(0.07,yLine,3.,yLine);
line->SetLineColor(kRed);
line->SetLineWidth(2);
TMapTSP2TCNV cnvMap;
cnvMap.insert( make_pair("1000", new TCanvas("1000","1000",600,550)) );
if(isMC11c) cnvMap.insert( make_pair("1250", new TCanvas("1250","1250",600,550)) );
cnvMap.insert( make_pair("1500", new TCanvas("1500","1500",600,550)) );
cnvMap.insert( make_pair("1750", new TCanvas("1750","1750",600,550)) );
cnvMap.insert( make_pair("2000", new TCanvas("2000","2000",600,550)) );
for(TMapTSP2TCNV::iterator it=cnvMap.begin() ; it!=cnvMap.end() ; ++it)
{
_INFO("starting "+(string)it->first);
if(it->first=="2000") legMap.insert( make_pair(it->first, new TLegend(0.35,0.55,0.83,0.84,NULL,"brNDC")) );
else legMap.insert( make_pair(it->first, new TLegend(0.35,0.60,0.83,0.84,NULL,"brNDC")) );
legMap[it->first]->SetFillStyle(4000); //will be transparent
legMap[it->first]->SetFillColor(0);
legMap[it->first]->SetTextFont(42);
legMap[it->first]->AddEntry(h1Map[it->first+"o"],"Official Z'_{SSM}","F");
legMap[it->first]->AddEntry(hDY,"Official DY#mu#mu","lep");
legMap[it->first]->AddEntry(h1Map[it->first+"t"],"ME^{2} method: Template w/o couplings scale","lep");
if(it->first=="2000")
{
legMap[it->first]->AddEntry(h1Template,"ME^{2} method: Template histogram at #it{g=1} (SSM)","lep");
legMap[it->first]->AddEntry(graphSSM, "ME^{2} method: Template function at #it{g=1} (SSM)","p");
legMap[it->first]->AddEntry(graphDY, "ME^{2} method: Template function at #it{g=0} (DY)","p");
}
if(!doTruth)
{
h1dTlvTmpltMap[it->first]->SetLineColor(kCyan+2);
h1dTlvTmpltMap[it->first]->SetMarkerColor(kCyan+2);
h1dTlvTmpltMap[it->first]->SetMarkerStyle(5);
h1dTlvTmpltMap[it->first]->SetMarkerSize(0.5);
legMap[it->first]->AddEntry(h1dTlvTmpltMap[it->first],"ME^{2} method: DY+Template (no interference)","p");
h1dBrandeisTmpltMap[it->first]->SetLineColor(kRed);
h1dBrandeisTmpltMap[it->first]->SetMarkerColor(kRed);
h1dBrandeisTmpltMap[it->first]->SetMarkerStyle(27);
h1dBrandeisTmpltMap[it->first]->SetMarkerSize(0.5);
legMap[it->first]->AddEntry(h1dBrandeisTmpltMap[it->first],"Flat Z' method: DY+Template (no interference)","p");
}
it->second->Divide(1,2);
TVirtualPad* ph = it->second->cd(1);
TVirtualPad* pr = it->second->cd(2);
ph->SetPad(0.00, 0.35, 1.00, 1.00);
pr->SetPad(0.00, 0.00, 1.00, 0.35);
ph->SetBottomMargin(0.012);
pr->SetBottomMargin(0.20);
pr->SetTopMargin(0.012);
ph->cd();
ph->Draw();
ph->SetTicks(1,1);
ph->SetLogy();
ph->SetLogx();
// h1Map[it->first+"o"]->SetMaximum( h1Map[it->first+"t"]->GetMaximum()*1.5 );
// h1Map[it->first+"o"]->Draw();
TH1D* hTmpNoErr = (TH1D*)resetErrors(h1Map[it->first+"o"])->Clone();
hTmpNoErr->SetMaximum( h1Map[it->first+"t"]->GetMaximum()*1.5 );
hTmpNoErr->SetLineStyle(1);
hTmpNoErr->SetLineColor(kBlack);
hTmpNoErr->SetFillColor(kAzure-9);
hTmpNoErr->Draw();
TH1D* hTmpErr = (TH1D*)ShiftLog(h1Map[it->first+"o"],0.2)->Clone();
hTmpErr->SetFillStyle(4000); //will be transparent
hTmpErr->SetFillColor(0);
hTmpErr->DrawCopy("epx0SAMES");
hDY->Draw("SAMES");
h1Map[it->first+"t"]->Draw("epSAMES");
//poissonGraphMap[it->first]->Draw("pSAMES");
if(it->first=="2000")
{
graphDY->Draw("SAMESp");
graphSSM->Draw("SAMESp");
h1Template->Draw("epSAMES");
}
_INFO("");
h1dTlvTmpltMap[it->first]->Draw("SAMESp");
h1dBrandeisTmpltMap[it->first]->Draw("SAMESp");
TLine* chopline = new TLine(0.12805,getYmin(h1Map[it->first+"o"]),0.12805,7.e5);
chopline->SetLineStyle(2);
chopline->SetLineColor(kBlack);
chopline->Draw("SAMES");
ptxt->Draw("SAMES");
legMap[it->first]->Draw("SAMES");
ph->RedrawAxis();
ph->Update();
_INFO("");
pr->cd();
pr->Draw();
pr->SetTicks(1,1);
pr->SetGridy();
pr->SetLogx();
h1rMap[it->first]->Draw("ep");
line->Draw("SAMES");
h1rMap[it->first]->Draw("epSAMES");
legR->Draw("SAMES");
pr->RedrawAxis();
pr->Update();
unsigned int savestate = 1;
if(it->first=="1000") savestate = 0;
else if(it->first=="2000") savestate = 2;
else savestate = 1;
TString testType = (doResiduals) ? "_residuals" : "_ratio";
mutype = (doTruth) ? "_truth" : "_recon";
savemultipdf(it->second, "plots/validation/validation"+mutype+testType+"_"+mctype+"_all.pdf", savestate);
saveas(it->second, "plots/validation/validation"+mutype+testType+"_"+mctype+"_"+it->first);
TCanvas* c = new TCanvas(it->first,"",600,400);
c->cd();
c->Draw();
c->SetTicks(1,1);
c->SetLogy();
c->SetLogx();
hTmpNoErr->Draw();
hTmpErr->DrawCopy("epx0SAMES");
hDY->Draw("SAMES");
h1Map[it->first+"t"]->Draw("epSAMES");
//poissonGraphMap[it->first]->Draw("pSAMES");
if(it->first=="2000")
{
graphDY->Draw("SAMESp");
graphSSM->Draw("SAMESp");
h1Template->Draw("epSAMES");
}
h1dTlvTmpltMap[it->first]->Draw("SAMESp");
h1dBrandeisTmpltMap[it->first]->Draw("SAMESp");
legMap[it->first]->Draw("SAMES");
chopline->Draw("SAMES");
ptxt->Draw("SAMES");
c->RedrawAxis();
c->Update();
saveas(c,"plots/validation/validation_"+it->first+"_"+mutype+testType);
_INFO("done "+(string)it->first);
}
}
