#include <LA_Filler_Fitter.h>
Classes | |
struct | EnsembleSummary |
struct | Result |
Public Types | |
enum | Method { WIDTH = 1<<0, FIRST_METHOD = 1<<0, PROB1 = 1<<1, AVGV2 = 1<<2, AVGV3 = 1<<3, RMSV2 = 1<<4, RMSV3 = 1<<5, LAST_METHOD = 1<<5 } |
Public Member Functions | |
poly< std::string > | allAndOne (const unsigned width) const |
void | fill (TTree *, Book &) const |
void | fill_one_cluster (Book &, const poly< std::string > &, const unsigned, const float, const float, const float, const float) const |
poly< std::string > | granularity (const SiStripDetId, const float, const Long64_t, const float, const unsigned) const |
LA_Filler_Fitter (int methods, int M, int N, double low, double up, unsigned max) | |
LA_Filler_Fitter (int methods, bool layer, bool module, float localybin, unsigned stripbin, unsigned max) | |
void | summarize_ensembles (Book &) const |
poly< std::string > | varWidth (const unsigned width) const |
Static Public Member Functions | |
static std::map< std::string, std::vector< Result > > | ensemble_results (const Book &, const Method) |
static std::map< std::string, std::vector< EnsembleSummary > > | ensemble_summary (const Book &) |
static unsigned | find_rebin (const TH1 *const) |
static void | fit (Book &book) |
static void | fit_width_profile (Book &) |
static unsigned | layer_index (bool TIB, bool stereo, unsigned layer) |
static std::map< std::string, Result > | layer_results (const Book &, const Method) |
static std::string | layerLabel (const SiStripDetId) |
static void | make_and_fit_symmchi2 (Book &) |
static std::string | method (Method m, bool fit=true) |
static std::map< uint32_t, Result > | module_results (const Book &, const Method) |
static std::string | moduleLabel (const SiStripDetId) |
static std::pair< std::pair < float, float >, std::pair < float, float > > | offset_slope (const std::vector< EnsembleSummary > &) |
static float | pull (const std::vector< EnsembleSummary > &) |
static Result | result (Method, const std::string name, const Book &) |
static TH1 * | rms_profile (const std::string, const TProfile *const) |
static std::string | subdetLabel (const SiStripDetId) |
static TH1 * | subset_probability (const std::string name, const TH1 *const , const TH1 *const ) |
Private Attributes | |
const bool | byLayer_ |
const bool | byModule_ |
const int | ensembleBins_ |
const double | ensembleLow_ |
const int | ensembleSize_ |
const double | ensembleUp_ |
const float | localYbin_ |
const Long64_t | maxEvents_ |
const int | methods_ |
const unsigned | stripsPerBin_ |
Definition at line 14 of file LA_Filler_Fitter.h.
Definition at line 38 of file LA_Filler_Fitter.h.
{ WIDTH =1<<0, FIRST_METHOD=1<<0, PROB1 =1<<1, AVGV2 =1<<2, AVGV3 =1<<3, RMSV2 =1<<4, RMSV3 =1<<5, LAST_METHOD=1<<5};
LA_Filler_Fitter::LA_Filler_Fitter | ( | int | methods, |
int | M, | ||
int | N, | ||
double | low, | ||
double | up, | ||
unsigned | max | ||
) | [inline] |
Definition at line 19 of file LA_Filler_Fitter.h.
: ensembleSize_(M), ensembleBins_(N),ensembleLow_(low),ensembleUp_(up), byLayer_(true),byModule_(false), localYbin_(0), stripsPerBin_(0), maxEvents_(max), methods_(methods) {};
LA_Filler_Fitter::LA_Filler_Fitter | ( | int | methods, |
bool | layer, | ||
bool | module, | ||
float | localybin, | ||
unsigned | stripbin, | ||
unsigned | max | ||
) | [inline] |
Definition at line 29 of file LA_Filler_Fitter.h.
: ensembleSize_(0), ensembleBins_(0),ensembleLow_(0),ensembleUp_(0), byLayer_(layer),byModule_(module), localYbin_(localybin), stripsPerBin_(stripbin), maxEvents_(max), methods_(methods) {};
poly< std::string > LA_Filler_Fitter::allAndOne | ( | const unsigned | width | ) | const |
Definition at line 60 of file LA_Filler.cc.
Referenced by fill_one_cluster().
{ poly<std::string> a1("_all"); if(width==1) a1*="_w1"; return a1;}
std::map< std::string, std::vector< LA_Filler_Fitter::Result > > LA_Filler_Fitter::ensemble_results | ( | const Book & | book, |
const Method | m | ||
) | [static] |
Definition at line 73 of file LA_Results.cc.
References Book::begin(), Book::end(), method(), mergeVDriftHistosByStation::name, result(), and python::entryComment::results.
Referenced by summarize_ensembles().
{ std::map<std::string, std::vector<Result> > results; for(Book::const_iterator it = book.begin(".*_sample.*"+method(m)); it!=book.end(); ++it ) { const std::string name = boost::regex_replace(it->first,boost::regex("sample\\d*_"),""); results[name].push_back(result(m,it->first,book)); } return results; }
std::map< std::string, std::vector< LA_Filler_Fitter::EnsembleSummary > > LA_Filler_Fitter::ensemble_summary | ( | const Book & | book | ) | [static] |
Definition at line 105 of file LA_Results.cc.
References Book::begin(), Book::end(), LA_Filler_Fitter::EnsembleSummary::meanMeasured, LA_Filler_Fitter::EnsembleSummary::meanUncertainty, mergeVDriftHistosByStation::name, LA_Filler_Fitter::EnsembleSummary::pull, pull(), dt_dqm_sourceclient_common_cff::reco, alignCSCRings::s, LA_Filler_Fitter::EnsembleSummary::samples, LA_Filler_Fitter::EnsembleSummary::sigmaMeasured, edmLumisInFiles::summary, and LA_Filler_Fitter::EnsembleSummary::truth.
Referenced by sistrip::EnsembleCalibrationLA::write_ensembles_text().
{ std::map<std::string, std::vector<EnsembleSummary> > summary; for(Book::const_iterator it = book.begin(".*_ensembleReco"); it!=book.end(); ++it) { const std::string base = boost::erase_all_copy(it->first,"_ensembleReco"); const TH1*const reco = it->second; const TH1*const measure = book[base+"_measure"]; const TH1*const merr = book[base+"_merr"]; const TH1*const pull = book[base+"_pull"]; EnsembleSummary s; s.samples = reco->GetEntries(); s.truth = reco->GetMean(); s.meanMeasured = std::make_pair<float,float>( measure->GetFunction("gaus")->GetParameter(1), measure->GetFunction("gaus")->GetParError(1) ); s.sigmaMeasured = std::make_pair<float,float>( measure->GetFunction("gaus")->GetParameter(2), measure->GetFunction("gaus")->GetParError(2) ); s.meanUncertainty = std::make_pair<float,float>( merr->GetFunction("gaus")->GetParameter(1), merr->GetFunction("gaus")->GetParError(1) ); s.pull = std::make_pair<float,float>( pull->GetFunction("gaus")->GetParameter(2), pull->GetFunction("gaus")->GetParError(2) ); const std::string name = boost::regex_replace(base,boost::regex("ensembleBin\\d*_"),""); summary[name].push_back(s); } return summary; }
void LA_Filler_Fitter::fill | ( | TTree * | tree, |
Book & | book | ||
) | const |
Definition at line 8 of file LA_Filler.cc.
References funct::cos(), cond::rpcobgas::detid, ensembleBins_, fill_one_cluster(), granularity(), i, localYbin_, maxEvents_, N, stripsPerBin_, SiStripDetId::subDetector(), swap(), funct::tan(), SiStripDetId::TIB, and sistripsummary::TOB.
Referenced by sistrip::EnsembleCalibrationLA::endJob(), and sistrip::MeasureLA::MeasureLA().
{ TTREE_FOREACH_ENTRY(tree) { TFE_MAX(maxEvents_); TFE_PRINTSTATUS; std::vector<unsigned> PLEAF( tsostrackmulti , tree ); std::vector<unsigned> PLEAF( clusterdetid , tree ); std::vector<unsigned> PLEAF( clusterwidth , tree ); std::vector<float> PLEAF( clustervariance , tree ); std::vector<float> PLEAF( tsosdriftx , tree ); std::vector<float> PLEAF( tsosdriftz , tree ); std::vector<float> PLEAF( tsoslocaltheta , tree ); std::vector<float> PLEAF( tsoslocalphi , tree ); std::vector<float> PLEAF( tsosglobalZofunitlocalY , tree ); const unsigned N(clusterdetid.size()); std::vector<float> BdotY(N,0); if(!ensembleBins_) { std::vector<float> PLEAF( tsosBdotY , tree ); swap(BdotY, tsosBdotY); } std::vector<float> localy(N,0); if(localYbin_) { std::vector<float> PLEAF( tsoslocaly , tree ); swap(localy, tsoslocaly);} std::vector<unsigned> seedstrip(N,0); if(stripsPerBin_) { std::vector<unsigned> PLEAF( clusterseedstrip , tree ); swap(seedstrip, clusterseedstrip);} for(unsigned i=0; i<N ; i++) { const SiStripDetId detid(clusterdetid[i]); if( tsostrackmulti[i] != 1 || ( detid.subDetector()!=SiStripDetId::TIB && detid.subDetector()!=SiStripDetId::TOB) ) continue; const int sign = tsosglobalZofunitlocalY[i] < 0 ? -1 : 1; const float tthetaL = sign * tsosdriftx[i] / tsosdriftz[i]; const float tthetaT = sign * tan(tsoslocaltheta[i]) * cos(tsoslocalphi[i]); fill_one_cluster( book, granularity(detid, tthetaL, TFE_index, localy[i], seedstrip[i]%128), clusterwidth[i], clustervariance[i], tthetaL, tthetaT, fabs(BdotY[i]) ); } } }
void LA_Filler_Fitter::fill_one_cluster | ( | Book & | book, |
const poly< std::string > & | gran, | ||
const unsigned | width, | ||
const float | variance, | ||
const float | tthetaL, | ||
const float | tthetaT, | ||
const float | BdotY | ||
) | const |
Definition at line 45 of file LA_Filler.cc.
References allAndOne(), ensembleBins_, Book::fill(), method(), methods_, varWidth(), and WIDTH.
Referenced by fill().
{ book.fill( tthetaL, gran+"_reconstruction", 360,-1.0,1.0 ); book.fill( tthetaT-tthetaL, gran+ allAndOne(width), 360,-1.0,1.0 ); book.fill( tthetaT-tthetaL, variance, gran+ varWidth(width), 360,-1.0,1.0 ); if(methods_ & WIDTH) book.fill( tthetaT, width, gran+method(WIDTH), 81,-0.6,0.6 ); if(!ensembleBins_) { book.fill( BdotY, gran+"_field", 101,1,5); book.fill( width, gran+"_width", 10,0,10); } }
unsigned LA_Filler_Fitter::find_rebin | ( | const TH1 * const | hist | ) | [static] |
Definition at line 81 of file LA_Fitter.cc.
References begin, end, i, max(), timingPdfMaker::mean, min, and plotscripts::rms().
Referenced by make_and_fit_symmchi2().
{ const double mean = hist->GetMean(); const double rms = hist->GetRMS(); const int begin = std::min( 1, hist->GetXaxis()->FindFixBin(mean-rms)); const int end = std::max(hist->GetNbinsX(), hist->GetXaxis()->FindFixBin(mean+rms)) + 1; unsigned current_hole(0), max_hole(0); for(int i=begin; i<end; i++) { if(!hist->GetBinError(i)) current_hole++; else if(current_hole) {max_hole = std::max(current_hole,max_hole); current_hole=0;} } return max_hole+1; }
static void LA_Filler_Fitter::fit | ( | Book & | book | ) | [inline, static] |
Definition at line 87 of file LA_Filler_Fitter.h.
References fit_width_profile(), and make_and_fit_symmchi2().
Referenced by sistrip::EnsembleCalibrationLA::endJob(), fit_width_profile(), sistrip::MeasureLA::MeasureLA(), method(), and offset_slope().
{ make_and_fit_symmchi2(book); fit_width_profile(book); }
void LA_Filler_Fitter::fit_width_profile | ( | Book & | book | ) | [static] |
Definition at line 10 of file LA_Fitter.cc.
References Book::begin(), Book::end(), Book::erase(), fit(), max(), method(), min, AlCaHLTBitMon_ParallelJobs::p, and WIDTH.
Referenced by fit().
{ for(Book::iterator it = book.begin(".*"+method(WIDTH)); it!=book.end(); ++it) { it->second->SetTitle("Mean Cluster Width;tan#theta_{t}"); TH1* const p = it->second; if(p->GetEntries() < 400) { delete p; book[it->first]=0; continue;} p->SetTitle(";tan#theta_{t};"); const float min = p->GetMinimum(); const float max = p->GetMaximum(); float xofmin = p->GetBinCenter(p->GetMinimumBin()); if( xofmin>0.0 || xofmin<-0.15) xofmin = -0.05; const float xofmax = p->GetBinCenter(p->GetMaximumBin()); TF1* const fit = new TF1("LA_profile_fit","[2]*(TMath::Abs(x-[0]))+[1]",-1,1); fit->SetParLimits(0,-0.15,0.01); fit->SetParLimits(1, 0.6*min, 1.25*min ); fit->SetParLimits(2,0.1,10); fit->SetParameters( xofmin, min, (max-min) / fabs( xofmax - xofmin ) ); int badfit = p->Fit(fit,"IEQ","",-.5,.3); if( badfit ) badfit = p->Fit(fit,"IEQ","", -.46,.26); if( badfit ) { book.erase(it); } } }
poly< std::string > LA_Filler_Fitter::granularity | ( | const SiStripDetId | detid, |
const float | tthetaL, | ||
const Long64_t | TFE_index, | ||
const float | localy, | ||
const unsigned | apvstrip | ||
) | const |
Definition at line 72 of file LA_Filler.cc.
References abs, byLayer_, byModule_, ensembleBins_, ensembleLow_, ensembleSize_, ensembleUp_, layerLabel(), localYbin_, moduleLabel(), stripsPerBin_, and subdetLabel().
Referenced by fill().
{ poly<std::string> gran; gran += subdetLabel(detid); if(byLayer_) gran *= layerLabel(detid); if(byModule_) gran *= moduleLabel(detid); if(localYbin_) gran += (localy < 0 ? "_yM":"_yP") + boost::lexical_cast<std::string>(abs((int)(localy/localYbin_+(localy<0?-1:0)))); if(stripsPerBin_) gran += "_strip"+boost::lexical_cast<std::string>((unsigned)((0.5+((apvstrip/64)?(127-apvstrip):apvstrip)/stripsPerBin_)*stripsPerBin_) ); if(ensembleBins_) { gran+= "_ensembleBin"+boost::lexical_cast<std::string>((int)(ensembleBins_*(tthetaL-ensembleLow_)/(ensembleUp_-ensembleLow_))); gran+= ""; if(ensembleSize_) gran*= "_sample"+boost::lexical_cast<std::string>(TFE_index % ensembleSize_); } return gran; }
static unsigned LA_Filler_Fitter::layer_index | ( | bool | TIB, |
bool | stereo, | ||
unsigned | layer | ||
) | [inline, static] |
Definition at line 84 of file LA_Filler_Fitter.h.
Referenced by sistrip::MeasureLA::calibration_key(), and sistrip::EnsembleCalibrationLA::write_ensembles_text().
{ return layer + (TIB?0:6) +(stereo?1:0) + ( (layer>2)?1:(layer==1)?-1:0 );}
std::map< std::string, LA_Filler_Fitter::Result > LA_Filler_Fitter::layer_results | ( | const Book & | book, |
const Method | m | ||
) | [static] |
Definition at line 63 of file LA_Results.cc.
References Book::begin(), Book::end(), method(), mergeVDriftHistosByStation::name, result(), and python::entryComment::results.
Referenced by sistrip::MeasureLA::process_reports().
std::string LA_Filler_Fitter::layerLabel | ( | const SiStripDetId | detid | ) | [static] |
Definition at line 92 of file LA_Filler.cc.
References cond::rpcobgas::detid, TIBDetId::layer(), TOBDetId::layer(), SiStripDetId::stereo(), SiStripDetId::subDetector(), subdetLabel(), and SiStripDetId::TOB.
Referenced by granularity(), and sistrip::MeasureLA::summarize_module_muH_byLayer().
{ unsigned layer = detid.subDetector() == SiStripDetId::TOB ? TOBDetId(detid()).layer() : TIBDetId(detid()).layer(); return subdetLabel(detid)+"_layer"+boost::lexical_cast<std::string>(layer)+(detid.stereo()?"s":"a"); }
void LA_Filler_Fitter::make_and_fit_symmchi2 | ( | Book & | book | ) | [static] |
Definition at line 34 of file LA_Fitter.cc.
References cond::ecalcond::all, AVGV2, AVGV3, Book::begin(), Book::book(), Book::end(), Book::find(), find_rebin(), estimatePileup::hist, max(), method(), PROB1, rms_profile(), RMSV2, RMSV3, subset_probability(), and SymmetryFit::symmetryChi2().
Referenced by fit().
{ for(Book::iterator it = book.begin(".*_all"); it!=book.end(); ++it) { const std::string base = boost::erase_all_copy(it->first,"_all"); std::vector<Book::iterator> rebin_hists; Book::iterator all = it; rebin_hists.push_back(all); Book::iterator w1 = book.find(base+"_w1"); rebin_hists.push_back(w1); Book::iterator var_w2 = book.find(base+method(AVGV2,0)); rebin_hists.push_back(var_w2); Book::iterator var_w3 = book.find(base+method(AVGV3,0)); rebin_hists.push_back(var_w3); const unsigned rebin = std::max( var_w2==book.end() ? 0 : find_rebin(var_w2->second), var_w3==book.end() ? 0 : find_rebin(var_w3->second) ); BOOST_FOREACH(Book::iterator it, rebin_hists) if(it!=book.end()) it->second->Rebin( rebin>1 ? rebin<7 ? rebin : 6 : 1); TH1* const prob_w1 = w1==book.end() ? 0 : subset_probability( base+method(PROB1,0) ,w1->second,all->second); TH1* const rmsv_w2 = var_w2==book.end() ? 0 : rms_profile( base+method(RMSV2,0), (TProfile*const)var_w2->second); TH1* const rmsv_w3 = var_w3==book.end() ? 0 : rms_profile( base+method(RMSV3,0), (TProfile*const)var_w3->second); std::vector<TH1*> fit_hists; if(prob_w1) { book.book(base+method(PROB1,0),prob_w1); fit_hists.push_back(prob_w1); prob_w1->SetTitle("Width==1 Probability;tan#theta_{t}-(dx/dz)_{reco}"); } if(var_w2!=book.end()) { book.book(base+method(RMSV2,0),rmsv_w2); fit_hists.push_back(var_w2->second); var_w2->second->SetTitle("Width==2 Mean Variance;tan#theta_{t}-(dx/dz)_{reco}"); fit_hists.push_back(rmsv_w2); rmsv_w2->SetTitle("Width==2 RMS Variance;tan#theta_{t}-(dx/dz)_{reco}"); } if(var_w3!=book.end()) { book.book(base+method(RMSV3,0),rmsv_w3); fit_hists.push_back(var_w3->second); var_w3->second->SetTitle("Width==3 Mean Variance;tan#theta_{t}-(dx/dz)_{reco}"); fit_hists.push_back(rmsv_w3); rmsv_w3->SetTitle("Width==3 RMS Variance;tan#theta_{t}-(dx/dz)_{reco}"); } if(!fit_hists.size()) continue; const unsigned bins = fit_hists[0]->GetNbinsX(); const unsigned guess = fit_hists[0]->FindBin(0); const std::pair<unsigned,unsigned> range(guess-bins/30,guess+bins/30); BOOST_FOREACH(TH1*const hist, fit_hists) { TH1*const chi2 = SymmetryFit::symmetryChi2(hist,range); if(chi2) {book.book(chi2->GetName(),chi2); chi2->SetTitle("Symmetry #chi^{2};tan#theta_{t}-(dx/dz)_{reco}");} } } }
static std::string LA_Filler_Fitter::method | ( | Method | m, |
bool | fit = true |
||
) | [inline, static] |
Definition at line 45 of file LA_Filler_Fitter.h.
References AVGV2, AVGV3, fit(), mergeVDriftHistosByStation::name, PROB1, RMSV2, RMSV3, and WIDTH.
Referenced by ensemble_results(), fill_one_cluster(), fit_width_profile(), layer_results(), make_and_fit_symmchi2(), module_results(), result(), and varWidth().
{ switch(m) { case WIDTH: return "_width_prof"; case PROB1: return fit? SymmetryFit::name(method(m,0)): "_prob_w1" ; case AVGV2: return fit? SymmetryFit::name(method(m,0)): "_avg_var_w2"; case AVGV3: return fit? SymmetryFit::name(method(m,0)): "_avg_var_w3"; case RMSV2: return fit? SymmetryFit::name(method(m,0)): "_rms_var_w2"; case RMSV3: return fit? SymmetryFit::name(method(m,0)): "_rms_var_w3"; default: return "_UNKNOWN"; } }
std::map< uint32_t, LA_Filler_Fitter::Result > LA_Filler_Fitter::module_results | ( | const Book & | book, |
const Method | m | ||
) | [static] |
Definition at line 51 of file LA_Results.cc.
References Book::begin(), cond::rpcobgas::detid, Book::end(), method(), result(), and python::entryComment::results.
Referenced by sistrip::MeasureLA::process_reports(), and sistrip::MeasureLA::summarize_module_muH_byLayer().
{ std::map<uint32_t,Result> results; for(Book::const_iterator it = book.begin(".*_module\\d*"+method(m)); it!=book.end(); ++it ) { const uint32_t detid = boost::lexical_cast<uint32_t>( boost::regex_replace( it->first, boost::regex(".*_module(\\d*)_.*"), std::string("\\1"))); results[detid] = result(m,it->first,book); } return results; }
std::string LA_Filler_Fitter::moduleLabel | ( | const SiStripDetId | detid | ) | [static] |
Definition at line 90 of file LA_Filler.cc.
References cond::rpcobgas::detid, and subdetLabel().
Referenced by granularity().
{ return subdetLabel(detid) + "_module"+boost::lexical_cast<std::string>(detid());}
std::pair< std::pair< float, float >, std::pair< float, float > > LA_Filler_Fitter::offset_slope | ( | const std::vector< EnsembleSummary > & | ) | [static] |
Definition at line 130 of file LA_Results.cc.
References dtNoiseDBValidation_cfg::cerr, alignCSCRings::e, fit(), LA_Filler_Fitter::EnsembleSummary::meanMeasured, LA_Filler_Fitter::EnsembleSummary::truth, x, and detailsBasic3DVector::y.
Referenced by sistrip::EnsembleCalibrationLA::write_ensembles_text().
{ try { std::vector<float> x,y,xerr,yerr; BOOST_FOREACH(EnsembleSummary ensemble, ensembles) { x.push_back(ensemble.truth); xerr.push_back(0); y.push_back(ensemble.meanMeasured.first); yerr.push_back(ensemble.meanMeasured.second); } TGraphErrors graph(x.size(),&(x[0]),&(y[0]),&(xerr[0]),&(yerr[0])); graph.Fit("pol1"); const TF1*const fit = graph.GetFunction("pol1"); return std::make_pair( std::make_pair(fit->GetParameter(0), fit->GetParError(0)), std::make_pair(fit->GetParameter(1), fit->GetParError(1)) ); } catch(edm::Exception e) { std::cerr << "Fitting Line Failed " << std::endl << e << std::endl; return std::make_pair( std::make_pair(0,0), std::make_pair(0,0)); } }
static float LA_Filler_Fitter::pull | ( | const std::vector< EnsembleSummary > & | ) | [static] |
Referenced by ensemble_summary(), and sistrip::EnsembleCalibrationLA::write_ensembles_text().
LA_Filler_Fitter::Result LA_Filler_Fitter::result | ( | Method | m, |
const std::string | name, | ||
const Book & | book | ||
) | [static] |
Definition at line 14 of file LA_Results.cc.
References AVGV2, AVGV3, LA_Filler_Fitter::Result::chi2, LA_Filler_Fitter::Result::entries, f, LA_Filler_Fitter::Result::field, h, LA_Filler_Fitter::Result::measured, method(), mergeVDriftHistosByStation::name, LA_Filler_Fitter::Result::ndof, AlCaHLTBitMon_ParallelJobs::p, PROB1, LA_Filler_Fitter::Result::reco, dt_dqm_sourceclient_common_cff::reco, RMSV2, RMSV3, and WIDTH.
Referenced by ensemble_results(), layer_results(), and module_results().
{ Result p; const std::string base = boost::erase_all_copy(name,method(m)); const TH1* const h = book[name]; const TH1* const reco = book[base+"_reconstruction"]; const TH1* const field = book[base+"_field"]; if(reco) p.reco = std::make_pair<float,float>( reco->GetMean(), reco->GetMeanError()); if(field) p.field = field->GetMean(); if(h) { switch(m) { case WIDTH: { const TF1*const f = h->GetFunction("LA_profile_fit"); if(!f) break; p.measured = std::make_pair<float,float>(f->GetParameter(0),f->GetParError(0)); p.chi2 = f->GetChisquare(); p.ndof = f->GetNDF(); p.entries = (unsigned)(h->GetEntries()); break; } case PROB1: case AVGV2: case AVGV3: case RMSV2: case RMSV3: /*case MULTI:*/ { const TF1*const f = h->GetFunction("SymmetryFit"); if(!f) break; p.measured = std::make_pair<float,float>( p.reco.first + f->GetParameter(0), f->GetParameter(1) ); p.chi2 = f->GetParameter(2); p.ndof = (unsigned) (f->GetParameter(3)); p.entries = (m&PROB1) ? (unsigned) book[base+"_w1"]->GetEntries() : (m&(AVGV2|RMSV2)) ? (unsigned) book[base+method(AVGV2,0)]->GetEntries() : (m&(AVGV3|RMSV3)) ? (unsigned) book[base+method(AVGV3,0)]->GetEntries() : 0 ; break; } default: break; } } return p; }
TH1 * LA_Filler_Fitter::rms_profile | ( | const std::string | name, |
const TProfile * const | prof | ||
) | [static] |
Definition at line 95 of file LA_Fitter.cc.
References i, plotscripts::rms(), and mathSSE::sqrt().
Referenced by make_and_fit_symmchi2().
{ const int bins = prof->GetNbinsX(); TH1* const rms = new TH1F(name.c_str(),"",bins, prof->GetBinLowEdge(1), prof->GetBinLowEdge(bins) + prof->GetBinWidth(bins) ); for(int i = 1; i<=bins; i++) { const double Me = prof->GetBinError(i); const double neff = prof->GetBinEntries(i); //Should be prof->GetBinEffectiveEntries(i);, not availible this version ROOT. This is only ok for unweighted fills rms->SetBinContent(i, Me*sqrt(neff) ); rms->SetBinError(i, Me/sqrt(2) ); } return rms; }
std::string LA_Filler_Fitter::subdetLabel | ( | const SiStripDetId | detid | ) | [static] |
Definition at line 88 of file LA_Filler.cc.
References SiStripDetId::subDetector(), and SiStripDetId::TOB.
Referenced by granularity(), layerLabel(), and moduleLabel().
{ return detid.subDetector()==SiStripDetId::TOB? "TOB" : "TIB";}
TH1 * LA_Filler_Fitter::subset_probability | ( | const std::string | name, |
const TH1 * const | subset, | ||
const TH1 * const | total | ||
) | [static] |
Definition at line 108 of file LA_Fitter.cc.
References i, AlCaHLTBitMon_ParallelJobs::p, alignCSCRings::s, and mathSSE::sqrt().
Referenced by make_and_fit_symmchi2().
{ const int bins = subset->GetNbinsX(); TH1* const prob = new TH1F(name.c_str(),"",bins, subset->GetBinLowEdge(1), subset->GetBinLowEdge(bins) + subset->GetBinWidth(bins) ); for(int i = 1; i<=bins; i++) { const double s = subset->GetBinContent(i); const double T = total->GetBinContent(i); const double B = T-s; const double p = T? s/T : 0; const double perr = T? ( (s&&B)? sqrt(s*s*B+B*B*s)/(T*T) : 1/T ) : 0; prob->SetBinContent(i,p); prob->SetBinError(i,perr); } return prob; }
void LA_Filler_Fitter::summarize_ensembles | ( | Book & | book | ) | const |
Definition at line 83 of file LA_Results.cc.
References ensemble_results(), ensembleBins_, ensembleLow_, ensembleUp_, Book::fill(), FIRST_METHOD, g, LAST_METHOD, m, LA_Filler_Fitter::Result::measured, methods_, mergeVDriftHistosByStation::name, AlCaHLTBitMon_ParallelJobs::p, LA_Filler_Fitter::Result::reco, and python::entryComment::results.
Referenced by sistrip::EnsembleCalibrationLA::endJob().
{ typedef std::map<std::string, std::vector<Result> > results_t; results_t results; for(int m = FIRST_METHOD; m <= LAST_METHOD; m<<=1) if(methods_ & m) { results_t g = ensemble_results(book,(Method)(m)); results.insert(g.begin(),g.end());} BOOST_FOREACH(const results_t::value_type group, results) { const std::string name = group.first; BOOST_FOREACH(const Result p, group.second) { const float pad = (ensembleUp_-ensembleLow_)/10; book.fill( p.reco.first, name+"_ensembleReco", 12*ensembleBins_, ensembleLow_-pad, ensembleUp_+pad ); book.fill( p.measured.first, name+"_measure", 12*ensembleBins_, ensembleLow_-pad, ensembleUp_+pad ); book.fill( p.measured.second, name+"_merr", 500, 0, 0.01); book.fill( (p.measured.first-p.reco.first)/p.measured.second, name+"_pull", 500, -10,10); } book[name+"_measure"]->Fit("gaus","LLQ"); book[name+"_merr"]->Fit("gaus","LLQ"); book[name+"_pull"]->Fit("gaus","LLQ"); } }
poly< std::string > LA_Filler_Fitter::varWidth | ( | const unsigned | width | ) | const |
Definition at line 64 of file LA_Filler.cc.
References AVGV2, AVGV3, method(), methods_, RMSV2, and RMSV3.
Referenced by fill_one_cluster().
const bool LA_Filler_Fitter::byLayer_ [private] |
Definition at line 108 of file LA_Filler_Fitter.h.
Referenced by granularity().
const bool LA_Filler_Fitter::byModule_ [private] |
Definition at line 108 of file LA_Filler_Fitter.h.
Referenced by granularity().
const int LA_Filler_Fitter::ensembleBins_ [private] |
Definition at line 106 of file LA_Filler_Fitter.h.
Referenced by fill(), fill_one_cluster(), granularity(), and summarize_ensembles().
const double LA_Filler_Fitter::ensembleLow_ [private] |
Definition at line 107 of file LA_Filler_Fitter.h.
Referenced by granularity(), and summarize_ensembles().
const int LA_Filler_Fitter::ensembleSize_ [private] |
Definition at line 106 of file LA_Filler_Fitter.h.
Referenced by granularity().
const double LA_Filler_Fitter::ensembleUp_ [private] |
Definition at line 107 of file LA_Filler_Fitter.h.
Referenced by granularity(), and summarize_ensembles().
const float LA_Filler_Fitter::localYbin_ [private] |
Definition at line 109 of file LA_Filler_Fitter.h.
Referenced by fill(), and granularity().
const Long64_t LA_Filler_Fitter::maxEvents_ [private] |
Definition at line 111 of file LA_Filler_Fitter.h.
Referenced by fill().
const int LA_Filler_Fitter::methods_ [private] |
Definition at line 112 of file LA_Filler_Fitter.h.
Referenced by fill_one_cluster(), summarize_ensembles(), and varWidth().
const unsigned LA_Filler_Fitter::stripsPerBin_ [private] |
Definition at line 110 of file LA_Filler_Fitter.h.
Referenced by fill(), and granularity().