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HistoToWorkspaceFactoryFast.cxx
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HistoToWorkspaceFactoryFast.cxx
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// @(#)root/roostats:$Id: cranmer $
// Author: Kyle Cranmer, Akira Shibata
/*************************************************************************
* Copyright (C) 1995-2008, Rene Brun and Fons Rademakers. *
* All rights reserved. *
* *
* For the licensing terms see $ROOTSYS/LICENSE. *
* For the list of contributors see $ROOTSYS/README/CREDITS. *
*************************************************************************/
////////////////////////////////////////////////////////////////////////////////
/*
BEGIN_HTML
<p>
</p>
END_HTML
*/
//
#ifndef __CINT__
#include "RooGlobalFunc.h"
#endif
#include "RooDataSet.h"
#include "RooRealVar.h"
#include "RooConstVar.h"
#include "RooAddition.h"
#include "RooProduct.h"
#include "RooProdPdf.h"
#include "RooAddPdf.h"
#include "RooGaussian.h"
#include "RooPoisson.h"
#include "RooExponential.h"
#include "RooRandom.h"
#include "RooCategory.h"
#include "RooSimultaneous.h"
#include "RooMultiVarGaussian.h"
#include "RooNumIntConfig.h"
#include "RooMinuit.h"
#include "RooNLLVar.h"
#include "RooProfileLL.h"
#include "RooFitResult.h"
#include "RooDataHist.h"
#include "RooHistFunc.h"
#include "RooHistPdf.h"
#include "RooRealSumPdf.h"
#include "RooProduct.h"
#include "RooWorkspace.h"
#include "RooCustomizer.h"
#include "RooPlot.h"
#include "RooMsgService.h"
#include "RooStats/RooStatsUtils.h"
#include "RooStats/ModelConfig.h"
#include "RooStats/HistFactory/PiecewiseInterpolation.h"
#include "RooStats/HistFactory/ParamHistFunc.h"
#include "RooStats/AsymptoticCalculator.h"
#include "TH2F.h"
#include "TH3F.h"
#include "TFile.h"
#include "TCanvas.h"
#include "TH1.h"
#include "TLine.h"
#include "TTree.h"
#include "TMarker.h"
#include "TStopwatch.h"
#include "TROOT.h"
#include "TStyle.h"
#include "TVectorD.h"
#include "TMatrixDSym.h"
// specific to this package
#include "RooStats/HistFactory/LinInterpVar.h"
#include "RooStats/HistFactory/FlexibleInterpVar.h"
#include "RooStats/HistFactory/HistoToWorkspaceFactoryFast.h"
#include "RooStats/HistFactory/Measurement.h"
#include "Helper.h"
#include <algorithm>
#define VERBOSE
#define alpha_Low "-5"
#define alpha_High "5"
#define NoHistConst_Low "0"
#define NoHistConst_High "2000"
// use this order for safety on library loading
using namespace RooFit ;
using namespace RooStats ;
using namespace std ;
ClassImp(RooStats::HistFactory::HistoToWorkspaceFactoryFast)
namespace RooStats{
namespace HistFactory{
HistoToWorkspaceFactoryFast::HistoToWorkspaceFactoryFast() :
fNomLumi(1.0), fLumiError(0),
fLowBin(0), fHighBin(0)
{}
HistoToWorkspaceFactoryFast::~HistoToWorkspaceFactoryFast(){
}
HistoToWorkspaceFactoryFast::HistoToWorkspaceFactoryFast(RooStats::HistFactory::Measurement& measurement ) :
fSystToFix( measurement.GetConstantParams() ),
fParamValues( measurement.GetParamValues() ),
fNomLumi( measurement.GetLumi() ),
fLumiError( measurement.GetLumi()*measurement.GetLumiRelErr() ),
fLowBin( measurement.GetBinLow() ),
fHighBin( measurement.GetBinHigh() ) {
// Set Preprocess functions
SetFunctionsToPreprocess( measurement.GetPreprocessFunctions() );
}
void HistoToWorkspaceFactoryFast::ConfigureWorkspaceForMeasurement( const std::string& ModelName, RooWorkspace* ws_single, Measurement& measurement ) {
// Configure a workspace by doing any
// necessary post-processing and by
// creating a ModelConfig
// Make a ModelConfig and configure it
ModelConfig * proto_config = (ModelConfig *) ws_single->obj("ModelConfig");
if( proto_config == NULL ) {
std::cout << "Error: Did not find 'ModelConfig' object in file: " << ws_single->GetName()
<< std::endl;
throw hf_exc();
}
std::vector<std::string> poi_list = measurement.GetPOIList();
if( poi_list.size()==0 ) {
std::cout << "Warining: No Parametetrs of interest are set" << std::endl;
}
cout << "Setting Parameter(s) of Interest as: ";
for(unsigned int i = 0; i < poi_list.size(); ++i) {
cout << poi_list.at(i) << " ";
}
cout << endl;
RooArgSet * params= new RooArgSet;
for( unsigned int i = 0; i < poi_list.size(); ++i ) {
std::string poi_name = poi_list.at(i);
RooRealVar* poi = (RooRealVar*) ws_single->var( poi_name.c_str() );
if(poi){
params->add(*poi);
}
else {
std::cout << "WARNING: Can't find parameter of interest: " << poi_name
<< " in Workspace. Not setting in ModelConfig." << std::endl;
//throw hf_exc();
}
}
proto_config->SetParametersOfInterest(*params);
// Name of an 'edited' model, if necessary
std::string NewModelName = "newSimPdf"; // <- This name is hard-coded in HistoToWorkspaceFactoryFast::EditSyt. Probably should be changed to : std::string("new") + ModelName;
#ifdef DO_EDIT_WS
// Activate Additional Constraint Terms
if( measurement.GetGammaSyst().size() > 0
|| measurement.GetUniformSyst().size() > 0
|| measurement.GetLogNormSyst().size() > 0
|| measurement.GetNoSyst().size() > 0) {
HistoToWorkspaceFactoryFast::EditSyst( ws_single, (ModelName).c_str(),
measurement.GetGammaSyst(),
measurement.GetUniformSyst(),
measurement.GetLogNormSyst(),
measurement.GetNoSyst());
proto_config->SetPdf( *ws_single->pdf( "newSimPdf" ) );
}
#endif
// Set the ModelConfig's Params of Interest
RooAbsData* expData = ws_single->data("asimovData");
if( !expData ) {
std::cout << "Error: Failed to find dataset: " << expData
<< " in workspace" << std::endl;
throw hf_exc();
}
if(poi_list.size()!=0){
proto_config->GuessObsAndNuisance(*expData);
}
// Now, let's loop over any additional asimov datasets
// that we need to make
// Get the pdf
// Notice that we get the "new" pdf, this is the one that is
// used in the creation of these asimov datasets since they
// are fitted (or may be, at least).
RooAbsPdf* pdf = ws_single->pdf(NewModelName.c_str());
if( !pdf ) pdf = ws_single->pdf( ModelName.c_str() );
const RooArgSet* observables = ws_single->set("observables");
// Create a SnapShot of the nominal values
std::string SnapShotName = "NominalParamValues";
ws_single->saveSnapshot(SnapShotName.c_str(), ws_single->allVars());
for( unsigned int i=0; i<measurement.GetAsimovDatasets().size(); ++i) {
// Set the variable values and "const" ness with the workspace
RooStats::HistFactory::Asimov& asimov = measurement.GetAsimovDatasets().at(i);
std::string AsimovName = asimov.GetName();
std::cout << "Generating additional Asimov Dataset: " << AsimovName << std::endl;
asimov.ConfigureWorkspace(ws_single);
RooDataSet* asimov_dataset =
(RooDataSet*) AsymptoticCalculator::GenerateAsimovData(*pdf, *observables);
std::cout << "Importing Asimov dataset" << std::endl;
bool failure = ws_single->import(*asimov_dataset, Rename(AsimovName.c_str()));
if( failure ) {
std::cout << "Error: Failed to import Asimov dataset: " << AsimovName
<< std::endl;
delete asimov_dataset;
throw hf_exc();
}
// Load the snapshot at the end of every loop iteration
// so we start each loop with a "clean" snapshot
ws_single->loadSnapshot(SnapShotName.c_str());
// we can now deleted the data set after having imported it
delete asimov_dataset;
}
// Cool, we're done
return; // ws_single;
}
// We want to eliminate this interface and use the measurment directly
RooWorkspace* HistoToWorkspaceFactoryFast::MakeSingleChannelModel( Measurement& measurement, Channel& channel ) {
// This is a pretty light-weight wrapper function
//
// Take a fully configured measurement as well as
// one of its channels
//
// Return a workspace representing that channel
// Do this by first creating a vector of EstimateSummary's
// and this by configuring the workspace with any post-processing
// Get the channel's name
string ch_name = channel.GetName();
// Create a workspace for a SingleChannel from the Measurement Object
RooWorkspace* ws_single = this->MakeSingleChannelWorkspace(measurement, channel);
if( ws_single == NULL ) {
std::cout << "Error: Failed to make Single-Channel workspace for channel: " << ch_name
<< " and measurement: " << measurement.GetName() << std::endl;
throw hf_exc();
}
// Finally, configure that workspace based on
// properties of the measurement
HistoToWorkspaceFactoryFast::ConfigureWorkspaceForMeasurement( "model_"+ch_name, ws_single, measurement );
return ws_single;
}
RooWorkspace* HistoToWorkspaceFactoryFast::MakeCombinedModel( Measurement& measurement ) {
// This function takes a fully configured measurement
// which may contain several channels and returns
// a workspace holding the combined model
//
// This can be used, for example, within a script to produce
// a combined workspace on-the-fly
//
// This is a static function (for now) to make
// it a one-liner
// First, we create an instance of a HistFactory
HistoToWorkspaceFactoryFast factory( measurement );
// Loop over the channels and create the individual workspaces
vector<RooWorkspace*> channel_workspaces;
vector<string> channel_names;
for( unsigned int chanItr = 0; chanItr < measurement.GetChannels().size(); ++chanItr ) {
HistFactory::Channel& channel = measurement.GetChannels().at( chanItr );
if( ! channel.CheckHistograms() ) {
std::cout << "MakeModelAndMeasurementsFast: Channel: " << channel.GetName()
<< " has uninitialized histogram pointers" << std::endl;
throw hf_exc();
}
string ch_name = channel.GetName();
channel_names.push_back(ch_name);
// GHL: Renaming to 'MakeSingleChannelWorkspace'
RooWorkspace* ws_single = factory.MakeSingleChannelModel( measurement, channel );
channel_workspaces.push_back(ws_single);
}
// Now, combine the individual channel workspaces to
// form the combined workspace
RooWorkspace* ws = factory.MakeCombinedModel( channel_names, channel_workspaces );
// Configure the workspace
HistoToWorkspaceFactoryFast::ConfigureWorkspaceForMeasurement( "simPdf", ws, measurement );
// Delete channel workspaces
for (vector<RooWorkspace*>::iterator iter = channel_workspaces.begin() ; iter != channel_workspaces.end() ; ++iter) {
delete *iter ;
}
// Done. Return the pointer
return ws;
}
void HistoToWorkspaceFactoryFast::ProcessExpectedHisto(TH1* hist,RooWorkspace* proto,
string prefix, string productPrefix,
string systTerm ) {
if(hist) {
cout << "processing hist " << hist->GetName() << endl;
} else {
cout << "hist is empty" << endl;
R__ASSERT(hist != 0);
return;
}
/// require dimension >=1 or <=3
if (fObsNameVec.empty() && !fObsName.empty()) { fObsNameVec.push_back(fObsName); }
R__ASSERT( fObsNameVec.size()>=1 && fObsNameVec.size()<=3 );
/// determine histogram dimensionality
unsigned int histndim(1);
std::string classname = hist->ClassName();
if (classname.find("TH1")==0) { histndim=1; }
else if (classname.find("TH2")==0) { histndim=2; }
else if (classname.find("TH3")==0) { histndim=3; }
R__ASSERT( histndim==fObsNameVec.size() );
/// create roorealvar observables
RooArgList observables;
std::vector<std::string>::iterator itr = fObsNameVec.begin();
for (int idx=0; itr!=fObsNameVec.end(); ++itr, ++idx ) {
if ( !proto->var(itr->c_str()) ) {
TAxis* axis(0);
if (idx==0) { axis = hist->GetXaxis(); }
if (idx==1) { axis = hist->GetYaxis(); }
if (idx==2) { axis = hist->GetZaxis(); }
Int_t nbins = axis->GetNbins();
Double_t xmin = axis->GetXmin();
Double_t xmax = axis->GetXmax();
// create observable
proto->factory(Form("%s[%f,%f]",itr->c_str(),xmin,xmax));
proto->var(itr->c_str())->setBins(nbins);
}
observables.add( *proto->var(itr->c_str()) );
}
RooDataHist* histDHist = new RooDataHist((prefix+"nominalDHist").c_str(),"",observables,hist);
RooHistFunc* histFunc = new RooHistFunc((prefix+"_nominal").c_str(),"",observables,*histDHist,0) ;
proto->import(*histFunc);
/// now create the product of the overall efficiency times the sigma(params) for this estimate
proto->factory(("prod:"+productPrefix+"("+prefix+"_nominal,"+systTerm+")").c_str() );
delete histDHist;
delete histFunc;
}
void HistoToWorkspaceFactoryFast::AddMultiVarGaussConstraint(RooWorkspace* proto, string prefix,int lowBin, int highBin, vector<string>& constraintTermNames){
// these are the nominal predictions: eg. the mean of some space of variations
// later fill these in a loop over histogram bins
TVectorD mean(highBin); //-lowBin); // MB: fix range
cout << "a" << endl;
for(Int_t i=lowBin; i<highBin; ++i){
std::stringstream str;
str<<"_"<<i;
RooRealVar* temp = proto->var((prefix+str.str()).c_str());
mean(i) = temp->getVal();
}
TMatrixDSym Cov(highBin-lowBin);
for(int i=lowBin; i<highBin; ++i){
for(int j=0; j<highBin-lowBin; ++j){
if(i==j) { Cov(i,j) = sqrt(mean(i)); } // MB : this doesn't make sense to me if lowBin!=0 (?)
else { Cov(i,j) = 0; }
}
}
// can't make MultiVarGaussian with factory yet, do it by hand
RooArgList floating( *(proto->set(prefix.c_str() ) ) );
RooMultiVarGaussian constraint((prefix+"Constraint").c_str(),"",
floating, mean, Cov);
proto->import(constraint);
constraintTermNames.push_back(constraint.GetName());
}
void HistoToWorkspaceFactoryFast::LinInterpWithConstraint(RooWorkspace* proto, TH1* nominal,
std::vector<HistoSys> histoSysList,
string prefix, string productPrefix,
string systTerm,
vector<string>& constraintTermNames){
// these are the nominal predictions: eg. the mean of some space of variations
// later fill these in a loop over histogram bins
// require dimension >=1 or <=3
if (fObsNameVec.empty() && !fObsName.empty()) { fObsNameVec.push_back(fObsName); }
R__ASSERT( fObsNameVec.size()>=1 && fObsNameVec.size()<=3 );
// determine histogram dimensionality
unsigned int histndim(1);
std::string classname = nominal->ClassName();
if (classname.find("TH1")==0) { histndim=1; }
else if (classname.find("TH2")==0) { histndim=2; }
else if (classname.find("TH3")==0) { histndim=3; }
R__ASSERT( histndim==fObsNameVec.size() );
// cout <<"In LinInterpWithConstriants and histndim = " << histndim <<endl;
// create roorealvar observables
RooArgList observables;
std::vector<std::string>::iterator itr = fObsNameVec.begin();
for (int idx=0; itr!=fObsNameVec.end(); ++itr, ++idx ) {
if ( !proto->var(itr->c_str()) ) {
TAxis* axis(NULL);
if (idx==0) { axis = nominal->GetXaxis(); }
else if (idx==1) { axis = nominal->GetYaxis(); }
else if (idx==2) { axis = nominal->GetZaxis(); }
else {
std::cout << "Error: Too many observables. "
<< "HistFactory only accepts up to 3 observables (3d) "
<< std::endl;
throw hf_exc();
}
Int_t nbins = axis->GetNbins();
Double_t xmin = axis->GetXmin();
Double_t xmax = axis->GetXmax();
// create observable
proto->factory(Form("%s[%f,%f]",itr->c_str(),xmin,xmax));
proto->var(itr->c_str())->setBins(nbins);
}
observables.add( *proto->var(itr->c_str()) );
}
RooDataHist* nominalDHist = new RooDataHist((prefix+"nominalDHist").c_str(),"",observables,nominal);
RooHistFunc* nominalFunc = new RooHistFunc((prefix+"nominal").c_str(),"",observables,*nominalDHist,0) ;
// make list of abstract parameters that interpolate in space of variations
RooArgList params( ("alpha_Hist") );
// range is set using defined macro (see top of the page)
string range=string("[")+alpha_Low+","+alpha_High+"]";
// Loop over the HistoSys list
for(unsigned int j=0; j<histoSysList.size(); ++j){
std::stringstream str;
str<<"_"<<j;
HistoSys& histoSys = histoSysList.at(j);
string histoSysName = histoSys.GetName();
RooRealVar* temp = (RooRealVar*) proto->var(("alpha_" + histoSysName).c_str());
if(!temp){
temp = (RooRealVar*) proto->factory(("alpha_" + histoSysName + range).c_str());
// now add a constraint term for these parameters
string command=("Gaussian::alpha_"+histoSysName+"Constraint(alpha_"+histoSysName+",nom_alpha_"+histoSysName+"[0.,-10,10],1.)");
cout << command << endl;
constraintTermNames.push_back( proto->factory( command.c_str() )->GetName() );
proto->var(("nom_alpha_"+histoSysName).c_str())->setConstant();
const_cast<RooArgSet*>(proto->set("globalObservables"))->add(*proto->var(("nom_alpha_"+histoSysName).c_str()));
}
params.add(* temp );
}
// now make function that linearly interpolates expectation between variations
// get low/high variations to interpolate between
vector<double> low, high;
RooArgSet lowSet, highSet;
//ES// for(unsigned int j=0; j<lowHist.size(); ++j){
for(unsigned int j=0; j<histoSysList.size(); ++j){
std::stringstream str;
str<<"_"<<j;
HistoSys& histoSys = histoSysList.at(j);
RooDataHist* lowDHist = new RooDataHist((prefix+str.str()+"lowDHist").c_str(),"",observables, histoSys.GetHistoLow());
RooDataHist* highDHist = new RooDataHist((prefix+str.str()+"highDHist").c_str(),"",observables, histoSys.GetHistoHigh());
RooHistFunc* lowFunc = new RooHistFunc((prefix+str.str()+"low").c_str(),"",observables,*lowDHist,0) ;
RooHistFunc* highFunc = new RooHistFunc((prefix+str.str()+"high").c_str(),"",observables,*highDHist,0) ;
lowSet.add(*lowFunc);
highSet.add(*highFunc);
}
// this is sigma(params), a piece-wise linear interpolation
PiecewiseInterpolation interp(prefix.c_str(),"",*nominalFunc,lowSet,highSet,params);
interp.setPositiveDefinite();
interp.setAllInterpCodes(4); // LM: change to 4 (piece-wise linear to 6th order polynomial interpolation + linear extrapolation )
// KC: interpo codes 1 etc. don't have proper analytic integral.
RooArgSet observableSet(observables);
interp.setBinIntegrator(observableSet);
interp.forceNumInt();
proto->import(interp); // individual params have already been imported in first loop of this function
// now create the product of the overall efficiency times the sigma(params) for this estimate
proto->factory(("prod:"+productPrefix+"("+prefix+","+systTerm+")").c_str() );
}
// GHL: Consider passing the NormFactor list instead of the entire sample
string HistoToWorkspaceFactoryFast::AddNormFactor(RooWorkspace* proto, string& channel, string& sigmaEpsilon, Sample& sample, bool doRatio){
string overallNorm_times_sigmaEpsilon ;
string prodNames;
vector<NormFactor> normList = sample.GetNormFactorList();
vector<string> normFactorNames, rangeNames;
if(normList.size() > 0){
for(vector<NormFactor>::iterator itr = normList.begin(); itr != normList.end(); ++itr){
NormFactor& norm = *itr;
string varname;
if(!prodNames.empty()) prodNames += ",";
if(doRatio) {
varname = norm.GetName() + "_" + channel;
}
else {
varname=norm.GetName();
}
// GHL: Check that the NormFactor doesn't already exist
// (it may have been created as a function expression
// during preprocessing)
std::stringstream range;
range << "[" << norm.GetVal() << "," << norm.GetLow() << "," << norm.GetHigh() << "]";
if( proto->obj(varname.c_str()) == NULL) {
cout << "making normFactor: " << norm.GetName() << endl;
// remove "doRatio" and name can be changed when ws gets imported to the combined model.
proto->factory((varname + range.str()).c_str());
}
if(norm.GetConst()) {
// proto->var(varname.c_str())->setConstant();
// cout <<"setting " << varname << " constant"<<endl;
cout << "WARNING: Const attribute to <NormFactor> tag is deprecated, will ignore." <<
" Instead, add \n\t<ParamSetting Const=\"True\">" << varname << "</ParamSetting>\n" <<
" to your top-level XML's <Measurment> entry" << endl;
}
prodNames+=varname;
rangeNames.push_back(range.str());
normFactorNames.push_back(varname);
}
overallNorm_times_sigmaEpsilon = sample.GetName() + "_" + channel + "_overallNorm_x_sigma_epsilon";
proto->factory(("prod::" + overallNorm_times_sigmaEpsilon + "(" + prodNames + "," + sigmaEpsilon + ")").c_str());
}
unsigned int rangeIndex=0;
for( vector<string>::iterator nit = normFactorNames.begin(); nit!=normFactorNames.end(); ++nit){
if( count (normFactorNames.begin(), normFactorNames.end(), *nit) > 1 ){
cout <<"WARNING: <NormFactor Name =\""<<*nit<<"\"> is duplicated for <Sample Name=\""
<< sample.GetName() << "\">, but only one factor will be included. \n Instead, define something like"
<< "\n\t<Function Name=\""<<*nit<<"Squared\" Expresion=\""<<*nit<<"*"<<*nit<<"\" Var=\""<<*nit<<rangeNames.at(rangeIndex)
<< "\"> \nin your top-level XML's <Measurment> entry and use <NormFactor Name=\""<<*nit<<"Squared\" in your channel XML file."<< endl;
}
++rangeIndex;
}
if(!overallNorm_times_sigmaEpsilon.empty())
return overallNorm_times_sigmaEpsilon;
else
return sigmaEpsilon;
}
void HistoToWorkspaceFactoryFast::AddConstraintTerms(RooWorkspace* proto, Measurement & meas, string prefix,
string interpName,
std::vector<OverallSys>& systList,
vector<string>& constraintTermNames,
vector<string>& totSystTermNames) {
// add variables for all the relative overall uncertainties we expect
// range is set using defined macro (see top of the page)
string range=string("[0,")+alpha_Low+","+alpha_High+"]";
totSystTermNames.push_back(prefix);
RooArgSet params(prefix.c_str());
vector<double> lowVec, highVec;
std::map<std::string, double>::iterator itconstr;
for(unsigned int i = 0; i < systList.size(); ++i) {
OverallSys& sys = systList.at(i);
const char * name = sys.GetName().c_str();
// case of no systematic (is it possible)
if (meas.GetNoSyst().count(sys.GetName()) > 0 ) {
std::cout << "HistoToWorkspaceFast::AddConstraintTerm - skip systematic " << sys.GetName() << std::endl;
continue;
}
// case systematic is a gamma constraint
if (meas.GetGammaSyst().count(sys.GetName()) > 0 ) {
double relerr = meas.GetGammaSyst().find(sys.GetName() )->second;
if (relerr <= 0) {
std::cout << "HistoToWorkspaceFast::AddConstraintTerm - zero uncertainty assigned - skip systematic " << sys.GetName() << std::endl;
continue;
}
double tauVal = 1./(relerr*relerr);
double sqtau = 1./relerr;
RooAbsArg * beta = proto->factory(TString::Format("beta_%s[1,0,10]",name) );
// the global observable (y_s)
RooAbsArg * yvar = proto->factory(TString::Format("nom_%s[%f,0,10]",beta->GetName(),tauVal)) ;
// the rate of the gamma distribution (theta)
RooAbsArg * theta = proto->factory(TString::Format("theta_%s[%f]",name,1./tauVal));
// find alpha as function of beta
RooAbsArg* alphaOfBeta = proto->factory(TString::Format("PolyVar::alphaOfBeta_%s(beta_%s,{%f,%f})",name,name,-sqtau,sqtau));
// add now the constraint itself Gamma_beta_constraint(beta, y+1, tau, 0 )
// build the gamma parameter k = as y_s + 1
RooAbsArg * kappa = proto->factory(TString::Format("sum::k_%s(%s,1.)",name,yvar->GetName()) );
RooAbsArg * gamma = proto->factory(TString::Format("Gamma::%sConstraint(%s, %s, %s, 0.0)",beta->GetName(),beta->GetName(), kappa->GetName(), theta->GetName() ) );
alphaOfBeta->Print("t");
gamma->Print("t");
constraintTermNames.push_back(gamma->GetName());
// set global observables
RooRealVar * gobs = dynamic_cast<RooRealVar*>(yvar); assert(gobs);
gobs->setConstant(true);
const_cast<RooArgSet*>(proto->set("globalObservables"))->add(*yvar);
// add alphaOfBeta in the list of params to interpolate
params.add(*alphaOfBeta);
std::cout << "Added a gamma constraint for " << name << std::endl;
}
else {
// add the Gaussian constraint part
// case systematic is uniform (asssume they are like a gauaaian bbut with a large width
// (100 instead of 1)
double gaussSigma = 1;
if (meas.GetUniformSyst().count(sys.GetName()) > 0 ) {
gaussSigma = 100;
std::cout << "Added a uniform constraint for " << name << " as a gaussian constraint with a very large sigma " << std::endl;
}
// add Gaussian constraint terms (normal + log-normal case)
RooRealVar* alpha = (RooRealVar*) proto->var((prefix + sys.GetName()).c_str());
if(!alpha) {
alpha = (RooRealVar*) proto->factory((prefix + sys.GetName() + range).c_str());
RooAbsArg * nomAlpha = proto->factory(TString::Format("nom_%s[0.,-10,10]",alpha->GetName() ) );
RooAbsArg * gausConstraint = proto->factory(TString::Format("Gaussian::%sConstraint(%s,%s,%f)",alpha->GetName(),alpha->GetName(), nomAlpha->GetName(), gaussSigma) );
//cout << command << endl;
constraintTermNames.push_back( gausConstraint->GetName() );
proto->var(("nom_" + prefix + sys.GetName()).c_str())->setConstant();
const_cast<RooArgSet*>(proto->set("globalObservables"))->add(*nomAlpha);
}
// add constraint in terms of bifrucated gauss with low/high as sigmas
//std::stringstream lowhigh;
// check if exists a log-normal constraint
if (meas.GetLogNormSyst().count(sys.GetName()) == 0 && meas.GetGammaSyst().count(sys.GetName()) == 0 ) {
// just add the alpha for the parameters of the FlexibleInterpVar function
params.add(*alpha);
}
// case systematic is a log-normal constraint
if (meas.GetLogNormSyst().count(sys.GetName()) > 0 ) {
// log normal constraint for parameter
double relerr = meas.GetLogNormSyst().find(sys.GetName() )->second;
double tauVal = 1./relerr;
std::string tauName = "tau_" + sys.GetName();
proto->factory(TString::Format("%s[%f]",tauName.c_str(),tauVal ) );
double kappaVal = 1. + relerr;
std::string kappaName = "kappa_" + sys.GetName();
proto->factory(TString::Format("%s[%f]",kappaName.c_str(),kappaVal ) );
const char * alphaName = alpha->GetName();
std::string alphaOfBetaName = "alphaOfBeta_" + sys.GetName();
RooAbsArg * alphaOfBeta = proto->factory(TString::Format("expr::%s('%s*(pow(%s,%s)-1.)',%s,%s,%s)",alphaOfBetaName.c_str(),
tauName.c_str(),kappaName.c_str(),alphaName,
tauName.c_str(),kappaName.c_str(),alphaName ) );
std::cout << "Added a log-normal constraint for " << name << std::endl;
alphaOfBeta->Print("t");
params.add(*alphaOfBeta);
}
}
// add low/high vectors
double low = sys.GetLow();
double high = sys.GetHigh();
lowVec.push_back(low);
highVec.push_back(high);
} // end sys loop
if(systList.size() > 0){
// this is epsilon(alpha_j), a piece-wise linear interpolation
// LinInterpVar interp( (interpName).c_str(), "", params, 1., lowVec, highVec);
assert( params.getSize() > 0);
assert(int(lowVec.size()) == params.getSize() );
FlexibleInterpVar interp( (interpName).c_str(), "", params, 1., lowVec, highVec);
interp.setAllInterpCodes(4); // LM: change to 4 (piece-wise linear to 6th order polynomial interpolation + linear extrapolation )
//interp.setAllInterpCodes(0); // simple linear interpolation
proto->import(interp); // params have already been imported in first loop of this function
} else{
// some strange behavior if params,lowVec,highVec are empty.
//cout << "WARNING: No OverallSyst terms" << endl;
RooConstVar interp( (interpName).c_str(), "", 1.);
proto->import(interp); // params have already been imported in first loop of this function
}
// std::cout << "after creating FlexibleInterpVar " << std::endl;
// proto->Print();
}
void HistoToWorkspaceFactoryFast::MakeTotalExpected(RooWorkspace* proto, string totName,
vector<string>& syst_x_expectedPrefixNames,
vector<string>& normByNames){
// for ith bin calculate totN_i = lumi * sum_j expected_j * syst_j
string command;
string coeffList="";
string shapeList="";
string prepend="";
if (fObsNameVec.empty() && !fObsName.empty()) { fObsNameVec.push_back(fObsName); }
double binWidth(1.0);
std::string obsNameVecStr;
std::vector<std::string>::iterator itr = fObsNameVec.begin();
for (; itr!=fObsNameVec.end(); ++itr) {
std::string obsName = *itr;
binWidth *= proto->var(obsName.c_str())->numBins()/(proto->var(obsName.c_str())->getMax() - proto->var(obsName.c_str())->getMin()) ; // MB: Note: requires fixed bin sizes
if (obsNameVecStr.size()>0) { obsNameVecStr += "_"; }
obsNameVecStr += obsName;
}
//vector<string>::iterator it=syst_x_expectedPrefixNames.begin();
for(unsigned int j=0; j<syst_x_expectedPrefixNames.size();++j){
std::stringstream str;
str<<"_"<<j;
// repatative, but we need one coeff for each term in the sum
// maybe can be avoided if we don't use bin width as coefficient
command=string(Form("binWidth_%s_%d[%e]",obsNameVecStr.c_str(),j,binWidth));
proto->factory(command.c_str());
proto->var(Form("binWidth_%s_%d",obsNameVecStr.c_str(),j))->setConstant();
coeffList+=prepend+"binWidth_"+obsNameVecStr+str.str();
command="prod::L_x_"+syst_x_expectedPrefixNames.at(j)+"("+normByNames.at(j)+","+syst_x_expectedPrefixNames.at(j)+")";
/*RooAbsReal* tempFunc =(RooAbsReal*) */
proto->factory(command.c_str());
shapeList+=prepend+"L_x_"+syst_x_expectedPrefixNames.at(j);
prepend=",";
// add to num int to product
// tempFunc->specialIntegratorConfig(kTRUE)->method1D().setLabel("RooBinIntegrator") ;
// tempFunc->forceNumInt();
}
proto->defineSet("coefList",coeffList.c_str());
proto->defineSet("shapeList",shapeList.c_str());
// proto->factory(command.c_str());
RooRealSumPdf tot(totName.c_str(),totName.c_str(),*proto->set("shapeList"),*proto->set("coefList"),kTRUE);
tot.specialIntegratorConfig(kTRUE)->method1D().setLabel("RooBinIntegrator") ;
tot.specialIntegratorConfig(kTRUE)->method2D().setLabel("RooBinIntegrator") ;
tot.specialIntegratorConfig(kTRUE)->methodND().setLabel("RooBinIntegrator") ;
tot.forceNumInt();
// for mixed generation in RooSimultaneous
tot.setAttribute("GenerateBinned"); // for use with RooSimultaneous::generate in mixed mode
// tot.setAttribute("GenerateUnbinned"); // we don't want that
/*
// Use binned numeric integration
int nbins = 0;
if( fObsNameVec.size() == 1 ) {
nbins = proto->var(fObsNameVec.at(0).c_str())->numBins();
cout <<"num bis for RooRealSumPdf = "<<nbins <<endl;
//int nbins = ((RooRealVar*) allVars.first())->numBins();
tot.specialIntegratorConfig(kTRUE)->getConfigSection("RooBinIntegrator").setRealValue("numBins",nbins);
tot.forceNumInt();
} else {
cout << "Bin Integrator only supports 1-d. Will be slow." << std::endl;
}
*/
proto->import(tot);
}
void HistoToWorkspaceFactoryFast::AddPoissonTerms(RooWorkspace* proto, string prefix, string obsPrefix, string expPrefix, int lowBin, int highBin,
vector<string>& likelihoodTermNames){
/////////////////////////////////
// Relate observables to expected for each bin
// later modify variable named expPrefix_i to be product of terms
RooArgSet Pois(prefix.c_str());
for(Int_t i=lowBin; i<highBin; ++i){
std::stringstream str;
str<<"_"<<i;
//string command("Poisson::"+prefix+str.str()+"("+obsPrefix+str.str()+","+expPrefix+str.str()+")");
string command("Poisson::"+prefix+str.str()+"("+obsPrefix+str.str()+","+expPrefix+str.str()+",1)");//for no rounding
RooAbsArg* temp = (proto->factory( command.c_str() ) );
// output
cout << "Poisson Term " << command << endl;
((RooAbsPdf*) temp)->setEvalErrorLoggingMode(RooAbsReal::PrintErrors);
//cout << temp << endl;
likelihoodTermNames.push_back( temp->GetName() );
Pois.add(* temp );
}
proto->defineSet(prefix.c_str(),Pois); // add argset to workspace
}
void HistoToWorkspaceFactoryFast::SetObsToExpected(RooWorkspace* proto, string obsPrefix, string expPrefix, int lowBin, int highBin){
/////////////////////////////////
// set observed to expected
TTree* tree = new TTree();
Double_t* obsForTree = new Double_t[highBin-lowBin];
RooArgList obsList("obsList");
for(Int_t i=lowBin; i<highBin; ++i){
std::stringstream str;
str<<"_"<<i;
RooRealVar* obs = (RooRealVar*) proto->var((obsPrefix+str.str()).c_str());
cout << "expected number of events called: " << expPrefix << endl;
RooAbsReal* exp = proto->function((expPrefix+str.str()).c_str());
if(obs && exp){
//proto->Print();
obs->setVal( exp->getVal() );
cout << "setting obs"+str.str()+" to expected = " << exp->getVal() << " check: " << obs->getVal() << endl;
// add entry to array and attach to tree
obsForTree[i] = exp->getVal();
tree->Branch((obsPrefix+str.str()).c_str(), obsForTree+i ,(obsPrefix+str.str()+"/D").c_str());
obsList.add(*obs);
}else{
cout << "problem retrieving obs or exp " << obsPrefix+str.str() << obs << " " << expPrefix+str.str() << exp << endl;
}
}
tree->Fill();
RooDataSet* data = new RooDataSet("expData","", tree, obsList); // one experiment
delete tree;
delete [] obsForTree;
proto->import(*data);
delete data;
}
//////////////////////////////////////////////////////////////////////////////
void HistoToWorkspaceFactoryFast::EditSyst(RooWorkspace* proto, const char* pdfNameChar,
map<string,double> gammaSyst,
map<string,double> uniformSyst,
map<string,double> logNormSyst,
map<string,double> noSyst) {
string pdfName(pdfNameChar);
ModelConfig * combined_config = (ModelConfig *) proto->obj("ModelConfig");
if( combined_config==NULL ) {
std::cout << "Error: Failed to find object 'ModelConfig' in workspace: "
<< proto->GetName() << std::endl;
throw hf_exc();
}
// const RooArgSet * constrainedParams=combined_config->GetNuisanceParameters();
// RooArgSet temp(*constrainedParams);
string edit="EDIT::newSimPdf("+pdfName+",";
string editList;
string lastPdf=pdfName;
string precede="";
unsigned int numReplacements = 0;
unsigned int nskipped = 0;
map<string,double>::iterator it;
// add gamma terms and their constraints
for(it=gammaSyst.begin(); it!=gammaSyst.end(); ++it) {
//cout << "edit for " << it->first << "with rel uncert = " << it->second << endl;
if(! proto->var(("alpha_"+it->first).c_str())){
//cout << "systematic not there" << endl;
nskipped++;
continue;
}
numReplacements++;
double relativeUncertainty = it->second;
double scale = 1/sqrt((1+1/pow(relativeUncertainty,2)));
// this is the Gamma PDF and in a form that doesn't have roundoff problems like the Poisson does
proto->factory(Form("beta_%s[1,0,10]",it->first.c_str()));
proto->factory(Form("y_%s[%f]",it->first.c_str(),1./pow(relativeUncertainty,2))) ;
proto->factory(Form("theta_%s[%f]",it->first.c_str(),pow(relativeUncertainty,2))) ;
proto->factory(Form("Gamma::beta_%sConstraint(beta_%s,sum::k_%s(y_%s,one[1]),theta_%s,zero[0])",
it->first.c_str(),
it->first.c_str(),
it->first.c_str(),
it->first.c_str(),
it->first.c_str())) ;
/*
// this has some problems because N in poisson is rounded to nearest integer
proto->factory(Form("Poisson::beta_%sConstraint(y_%s[%f],prod::taub_%s(taus_%s[%f],beta_%s[1,0,5]))",
it->first.c_str(),
it->first.c_str(),
1./pow(relativeUncertainty,2),
it->first.c_str(),
it->first.c_str(),
1./pow(relativeUncertainty,2),
it->first.c_str()
) ) ;
*/
// combined->factory(Form("expr::alphaOfBeta('(beta-1)/%f',beta)",scale));
// combined->factory(Form("expr::alphaOfBeta_%s('(beta_%s-1)/%f',beta_%s)",it->first.c_str(),it->first.c_str(),scale,it->first.c_str()));
proto->factory(Form("PolyVar::alphaOfBeta_%s(beta_%s,{%f,%f})",it->first.c_str(),it->first.c_str(),-1./scale,1./scale));
// set beta const status to be same as alpha
if(proto->var(Form("alpha_%s",it->first.c_str()))->isConstant()) {
proto->var(Form("beta_%s",it->first.c_str()))->setConstant(true);
}
else {
proto->var(Form("beta_%s",it->first.c_str()))->setConstant(false);
}
// set alpha const status to true
// proto->var(Form("alpha_%s",it->first.c_str()))->setConstant(true);
// replace alphas with alphaOfBeta and replace constraints
editList+=precede + "alpha_"+it->first+"Constraint=beta_" + it->first+ "Constraint";
precede=",";
editList+=precede + "alpha_"+it->first+"=alphaOfBeta_"+ it->first;
/*
if( proto->pdf(("alpha_"+it->first+"Constraint").c_str()) && proto->var(("alpha_"+it->first).c_str()) )
cout << " checked they are there" << proto->pdf(("alpha_"+it->first+"Constraint").c_str()) << " " << proto->var(("alpha_"+it->first).c_str()) << endl;
else
cout << "NOT THERE" << endl;
*/
// EDIT seems to die if the list of edits is too long. So chunck them up.
if(numReplacements%10 == 0 && numReplacements+nskipped!=gammaSyst.size()){
edit="EDIT::"+lastPdf+"_("+lastPdf+","+editList+")";
lastPdf+="_"; // append an underscore for the edit
editList=""; // reset edit list
precede="";
cout << "Going to issue this edit command\n" << edit<< endl;
proto->factory( edit.c_str() );
RooAbsPdf* newOne = proto->pdf(lastPdf.c_str());
if(!newOne)
cout << "\n\n ---------------------\n WARNING: failed to make EDIT\n\n" << endl;
}
}
// add uniform terms and their constraints
for(it=uniformSyst.begin(); it!=uniformSyst.end(); ++it) {
cout << "edit for " << it->first << "with rel uncert = " << it->second << endl;
if(! proto->var(("alpha_"+it->first).c_str())){
cout << "systematic not there" << endl;
nskipped++;
continue;
}
numReplacements++;
// this is the Uniform PDF
proto->factory(Form("beta_%s[1,0,10]",it->first.c_str()));