/afs/cern.ch/work/a/aaltunda/public/www/CMSSW_6_2_5/src/CalibTracker/SiStripLorentzAngle/src/LA_Results.cc

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#include "CalibTracker/SiStripLorentzAngle/interface/LA_Filler_Fitter.h"
#include "FWCore/Utilities/interface/EDMException.h"

#include <cmath>
#include <boost/foreach.hpp>
#include <boost/regex.hpp> 
#include <boost/lexical_cast.hpp>
#include <boost/algorithm/string/erase.hpp>
#include <TF1.h>
#include <TGraphErrors.h>
#include <TProfile.h>

LA_Filler_Fitter::Result LA_Filler_Fitter::
result(Method m, const std::string name, const Book& book) {
  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;
}

std::map<uint32_t,LA_Filler_Fitter::Result> LA_Filler_Fitter::
module_results( const Book& book, const Method m) {
  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::map<std::string,LA_Filler_Fitter::Result> LA_Filler_Fitter::
layer_results( const Book& book, const Method m) {
  std::map<std::string,Result> results;
  for(Book::const_iterator it = book.begin(".*layer\\d.*"+method(m)); it!=book.end(); ++it ) {
    const std::string name = boost::erase_all_copy(it->first,method(m));
    results[name] = result(m,it->first,book);
  }
  return results;
}

std::map<std::string, std::vector<LA_Filler_Fitter::Result> > LA_Filler_Fitter::
ensemble_results( const Book& book, const Method m) {
  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;
}

void LA_Filler_Fitter::
summarize_ensembles(Book& book) const {
  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");
  }
}

std::map<std::string, std::vector<LA_Filler_Fitter::EnsembleSummary> > LA_Filler_Fitter::
ensemble_summary(const Book& book) {
  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;
}

std::pair<std::pair<float,float>, std::pair<float,float> > LA_Filler_Fitter::
offset_slope(const std::vector<LA_Filler_Fitter::EnsembleSummary>& ensembles) { 
  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));
  }
}

float LA_Filler_Fitter::
pull(const std::vector<LA_Filler_Fitter::EnsembleSummary>& ensembles) {
  float p(0),w(0);
  BOOST_FOREACH(EnsembleSummary ensemble, ensembles) {
    const float unc2 = pow(ensemble.pull.second,2);
    p+=  ensemble.pull.first / unc2;
    w+= 1/unc2;
  }
  return p/w;
}


std::ostream& operator<<(std::ostream& strm, const LA_Filler_Fitter::Result& r) { 
  return strm << r.reco.first <<"\t"<< r.reco.second <<"\t"
              << r.measured.first <<"\t"<< r.measured.second <<"\t"
              << r.calMeasured.first <<"\t"<< r.calMeasured.second <<"\t"
              << r.field <<"\t"
              << r.chi2 <<"\t"
              << r.ndof <<"\t"
              << r.entries;
}

std::ostream& operator<<(std::ostream& strm, const LA_Filler_Fitter::EnsembleSummary& e) { 
  return strm << e.truth <<"\t"
              << e.meanMeasured.first    <<"\t"<< e.meanMeasured.second <<"\t"
              << e.sigmaMeasured.first   <<"\t"<< e.sigmaMeasured.second <<"\t"
              << e.meanUncertainty.first <<"\t"<< e.meanUncertainty.second << "\t"
              << e.pull.first            <<"\t"<< e.pull.second << "\t"
              << e.samples;
}