LauBkgndDPModel.cc

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// Copyright University of Warwick 2004 - 2013.
// Distributed under the Boost Software License, Version 1.0.
// (See accompanying file LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt)

// Authors:
// Thomas Latham
// John Back
// Paul Harrison

#include <cstdlib>
#include <iostream>

#include "TRandom.h"
#include "TSystem.h"

#include "Lau2DHistDPPdf.hh"
#include "Lau2DSplineDPPdf.hh"
#include "LauBkgndDPModel.hh"
#include "LauDaughters.hh"
#include "LauFitDataTree.hh"
#include "LauKinematics.hh"
#include "LauRandom.hh"
#include "LauVetoes.hh"

ClassImp(LauBkgndDPModel)


LauBkgndDPModel::LauBkgndDPModel(LauDaughters* daughters, LauVetoes* vetoes) :
        LauAbsBkgndDPModel(daughters, vetoes),
        symmetricalDP_(kFALSE),
        squareDP_(kFALSE),
        bgHistDPPdf_(0),
        curEvtHistVal_(0.0),
        maxPdfHeight_(1.0),
        pdfNorm_(1.0),
        doneGenWarning_(kFALSE),
        lowBinWarningIssued_(kFALSE)
{
        if (daughters != 0) {
                symmetricalDP_ = daughters->gotSymmetricalDP();
        }
}

LauBkgndDPModel::~LauBkgndDPModel()
{
        if (bgHistDPPdf_ != 0) {
                delete bgHistDPPdf_; bgHistDPPdf_ = 0;
        }
}

void LauBkgndDPModel::setBkgndHisto(const TH2* histo, Bool_t useInterpolation, Bool_t fluctuateBins, Bool_t useUpperHalfOnly, Bool_t squareDP)
{
        Bool_t upperHalf = kFALSE;
        if (symmetricalDP_ == kTRUE && useUpperHalfOnly == kTRUE) {upperHalf = kTRUE;}
        std::cout<<"INFO in LauBkgndDPModel::setBkgndHisto : Background histogram has upperHalf = "<<static_cast<Int_t>(upperHalf)<<std::endl;

        squareDP_ = squareDP;

        LauKinematics* kinematics = this->getKinematics();
        const LauVetoes* vetoes = this->getVetoes();
        bgHistDPPdf_ = new Lau2DHistDPPdf(histo, kinematics, vetoes, useInterpolation, fluctuateBins, upperHalf, squareDP);

        maxPdfHeight_ = bgHistDPPdf_->getMaxHeight();
        pdfNorm_ = bgHistDPPdf_->getHistNorm();
}

void LauBkgndDPModel::setBkgndSpline(const TH2* histo, Bool_t fluctuateBins, Bool_t useUpperHalfOnly, Bool_t squareDP)
{
        Bool_t upperHalf = kFALSE;
        if (symmetricalDP_ == kTRUE && useUpperHalfOnly == kTRUE) {upperHalf = kTRUE;}
        std::cout<<"INFO in LauBkgndDPModel::setBkgndSpline : Background histogram has upperHalf = "<<static_cast<Int_t>(upperHalf)<<std::endl;

        squareDP_ = squareDP;

        LauKinematics* kinematics = this->getKinematics();
        const LauVetoes* vetoes = this->getVetoes();
        bgHistDPPdf_ = new Lau2DSplineDPPdf(histo, kinematics, vetoes, fluctuateBins, upperHalf, squareDP);

        maxPdfHeight_ = bgHistDPPdf_->getMaxHeight();
        pdfNorm_ = bgHistDPPdf_->getHistNorm();
}

Double_t LauBkgndDPModel::calcHistValue(Double_t xVal, Double_t yVal)
{
        // Get the likelihood value of the background in the Dalitz plot. 

        // Check that we have a valid histogram PDF
        if (bgHistDPPdf_ == 0) {
                std::cerr << "WARNING in LauBkgndDPModel::calcHistValue : We don't have a histogram so assuming the likelihood is flat in the Dalitz plot." << std::endl;
                this->setBkgndHisto( 0, kFALSE, kFALSE, kFALSE, kFALSE );
        }

        // Find out the un-normalised PDF value
        Double_t value = bgHistDPPdf_->interpolateXY(xVal, yVal);

        // Check that the value is greater than zero
        // If we're using a spline then negative values can be caused by adjacent bins that all contain a value of zero.
        // The spline requires the value, its first derivatives and the mixed second derivative to be continuous and to match the input histogram
        // at the bin centres. Derivatives are calculated using a finite difference approximation taking the difference between the neighbouring bins.
        // If two bins are zero but the third is not then the second bin will have a positive first derivative causing the spline to dip below zero
        // between the two zero bins to remain smooth. Such dips are unavoidable but are correctly removed here.
        if ( value < 0.0 ) {
                if(!lowBinWarningIssued_) {
                        std::cerr << "WARNING in LauBkgndDPModel::calcHistValue : Value " << value << " is less than 0 - setting to 0.  You may want to check your histogram!" << std::endl
                                  << "                                          : If you are using a spline then this could be caused by adjacent empty bins. Further warnings will be suppressed." << std::endl;
                        lowBinWarningIssued_=kTRUE;
                }
                return 0.0;
        }

        LauKinematics* kinematics = this->getKinematics();

        // For square DP co-ordinates, need to divide by Jacobian
        if (squareDP_ == kTRUE) {
                // Make sure that square DP kinematics are correct, then get Jacobian
                kinematics->updateSqDPKinematics(xVal, yVal);
                Double_t jacobian = kinematics->calcSqDPJacobian();
                value /= jacobian;
        }

        return value;
}

void LauBkgndDPModel::initialise() 
{
}

Bool_t LauBkgndDPModel::generate()
{
        // Routine to generate the background, using data provided by an
        // already defined histogram.

        LauKinematics* kinematics = this->getKinematics();

        Bool_t gotBG(kFALSE);

        while (gotBG == kFALSE) {

                if (squareDP_ == kTRUE) {
                        // Generate a point in m', theta' space. By construction, this point
                        // is already within the DP region.
                        Double_t mPrime(0.0), thetaPrime(0.0);
                        kinematics->genFlatSqDP(mPrime, thetaPrime);

                        // If we're in a symmetrical DP then we should only generate events in one half
                        if ( symmetricalDP_ && thetaPrime > 0.5 ) {
                                thetaPrime = 1.0 - thetaPrime;
                        }

                        // Calculate histogram height for DP point and
                        // compare with the maximum height
                        if ( bgHistDPPdf_ != 0 ) {
                                Double_t bgContDP = bgHistDPPdf_->interpolateXY(mPrime, thetaPrime)/maxPdfHeight_;
                                if (LauRandom::randomFun()->Rndm() < bgContDP) {
                                        kinematics->updateSqDPKinematics(mPrime, thetaPrime);
                                        gotBG = kTRUE;
                                }
                        } else {
                                if ( !doneGenWarning_ ) {
                                        std::cerr << "WARNING in LauBkgndDPModel::generate : We don't have a histogram so generating flat in the square DP, which won't be flat in the conventional DP!" << std::endl;
                                        std::cerr << "WARNING in LauBkgndDPModel::generate : This should never happen!! What have you done?!" << std::endl;
                                        doneGenWarning_ = kTRUE;
                                }
                                kinematics->updateSqDPKinematics(mPrime, thetaPrime);
                                gotBG = kTRUE;
                        }
                } else {
                        // Generate a point in the Dalitz plot (phase-space).
                        Double_t m13Sq(0.0), m23Sq(0.0);
                        kinematics->genFlatPhaseSpace(m13Sq, m23Sq);

                        // If we're in a symmetrical DP then we should only generate events in one half
                        if ( symmetricalDP_ && m13Sq > m23Sq ) {
                                Double_t tmpSq = m13Sq;
                                m13Sq = m23Sq;
                                m23Sq = tmpSq;
                        }

                        // Calculate histogram height for DP point and
                        // compare with the maximum height
                        if ( bgHistDPPdf_ != 0 ) {
                                Double_t bgContDP = bgHistDPPdf_->interpolateXY(m13Sq, m23Sq)/maxPdfHeight_;
                                if (LauRandom::randomFun()->Rndm() < bgContDP) {
                                        kinematics->updateKinematics(m13Sq, m23Sq);
                                        gotBG = kTRUE;   
                                }
                        } else {
                                if ( !doneGenWarning_ ) {
                                        std::cerr << "WARNING in LauBkgndDPModel::generate : We don't have a histogram so generating flat in the DP." << std::endl;
                                        doneGenWarning_ = kTRUE;
                                }
                                kinematics->updateKinematics(m13Sq, m23Sq);
                                gotBG = kTRUE;
                        }
                }
        }

        // Implement veto
        Bool_t vetoOK(kTRUE);
        const LauVetoes* vetoes = this->getVetoes();
        if (vetoes) {
                vetoOK = vetoes->passVeto(kinematics);
        }
        // Call this function recusively until we pass the veto.
        if (vetoOK == kFALSE) {
                this->generate();
        }
        return kTRUE;
}

void LauBkgndDPModel::fillDataTree(const LauFitDataTree& inputFitTree)
{
        // In LauFitDataTree, the first two variables should always be
        // m13^2 and m23^2. Other variables follow thus: charge.

        Int_t nBranches = inputFitTree.nBranches();
        if (nBranches < 2) {
                std::cerr<<"ERROR in LauBkgndDPModel::fillDataTree : Expecting at least 2 variables "<<"in input data tree, but there are "<<nBranches<<"!\n";
                std::cerr<<"                                       : Make sure you have the right number of variables in your input data file!"<<std::endl;
                return;
        }

        Double_t m13Sq(0.0), m23Sq(0.0), mPrime(0.0), thetaPrime(0.0);

        UInt_t nEvents = inputFitTree.nEvents();
        LauKinematics* kinematics = this->getKinematics();

        // clear and resize the data vector
        bgData_.clear();
        bgData_.resize(nEvents);

        for (UInt_t iEvt = 0; iEvt < nEvents; iEvt++) {

                const LauFitData& dataValues = inputFitTree.getData(iEvt);
                LauFitData::const_iterator iter = dataValues.find("m13Sq");
                m13Sq = iter->second;
                iter = dataValues.find("m23Sq");
                m23Sq = iter->second;

                // Update the kinematics. This will also update m' and theta' if squareDP = true
                kinematics->updateKinematics(m13Sq, m23Sq);

                if (squareDP_ == kTRUE) {
                        mPrime = kinematics->getmPrime();
                        thetaPrime = kinematics->getThetaPrime();
                        curEvtHistVal_ = this->calcHistValue(mPrime, thetaPrime);
                } else {
                        curEvtHistVal_ = this->calcHistValue(m13Sq, m23Sq);
                }

                bgData_[iEvt] = curEvtHistVal_;
        }
}

Double_t LauBkgndDPModel::getUnNormValue(UInt_t iEvt)
{
        // Retrieve the likelihood for the given event
        this->setDataEventNo(iEvt);
        return curEvtHistVal_;
}

Double_t LauBkgndDPModel::getLikelihood(UInt_t iEvt)
{
        // Retrieve the likelihood for the given event
        this->setDataEventNo(iEvt);
        Double_t llhd = curEvtHistVal_ / this->getPdfNorm();
        return llhd;
}

void LauBkgndDPModel::setDataEventNo(UInt_t iEvt)
{
        // Retrieve the data for event iEvt
        if (bgData_.size() > iEvt) {
                curEvtHistVal_ = bgData_[iEvt];
        } else {
                std::cerr<<"ERROR in LauBkgndDPModel::setDataEventNo : Event index too large: "<<iEvt<<" >= "<<bgData_.size()<<"."<<std::endl;
        }
}