FFTJetEFlowSmoother.cc

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// -*- C++ -*-
//
// Package:    FFTJetProducers
// Class:      FFTJetEFlowSmoother
//
//
// Original Author:  Igor Volobouev
//         Created:  Thu Jun  2 18:49:49 CDT 2011
//
//

#include <cmath>
#include <memory>

// FFTJet headers
#include "fftjet/FrequencyKernelConvolver.hh"
#include "fftjet/DiscreteGauss2d.hh"
#include "fftjet/EquidistantSequence.hh"
#include "fftjet/interpolate.hh"
#include "fftjet/FrequencyKernelConvolver.hh"
#include "fftjet/FrequencySequentialConvolver.hh"
#include "fftjet/DiscreteGauss1d.hh"
#include "fftjet/DiscreteGauss2d.hh"

// framework include files
#include "FWCore/Framework/interface/Frameworkfwd.h"
#include "FWCore/Framework/interface/MakerMacros.h"
#include "FWCore/ParameterSet/interface/ParameterSet.h"

#include "DataFormats/Common/interface/View.h"
#include <TH3F.h>

// parameter parser header
#include "RecoJets/FFTJetProducers/interface/FFTJetParameterParser.h"

// useful utilities collected in the second base
#include "RecoJets/FFTJetProducers/interface/FFTJetInterface.h"

using namespace fftjetcms;

//
// class declaration
//
class FFTJetEFlowSmoother : public FFTJetInterface {
public:
  explicit FFTJetEFlowSmoother(const edm::ParameterSet&);
  FFTJetEFlowSmoother() = delete;
  FFTJetEFlowSmoother(const FFTJetEFlowSmoother&) = delete;
  FFTJetEFlowSmoother& operator=(const FFTJetEFlowSmoother&) = delete;
  ~FFTJetEFlowSmoother() override;

protected:
  // methods
  void beginJob() override;
  void produce(edm::Event&, const edm::EventSetup&) override;
  void endJob() override;

private:
  void buildKernelConvolver(const edm::ParameterSet&);

  // Storage for convolved energy flow
  std::unique_ptr<fftjet::Grid2d<fftjetcms::Real> > convolvedFlow;

  // Filtering scales
  std::unique_ptr<std::vector<double> > iniScales;

  // The FFT engine(s)
  std::unique_ptr<MyFFTEngine> engine;
  std::unique_ptr<MyFFTEngine> anotherEngine;

  // The pattern recognition kernel(s)
  std::unique_ptr<fftjet::AbsFrequencyKernel> kernel2d;
  std::unique_ptr<fftjet::AbsFrequencyKernel1d> etaKernel;
  std::unique_ptr<fftjet::AbsFrequencyKernel1d> phiKernel;

  // The kernel convolver
  std::unique_ptr<fftjet::AbsConvolverBase<Real> > convolver;

  // The scale power to use for scaling Et
  double scalePower;

  // Overall factor to multiply Et with
  double etConversionFactor;
};

//
// constructors and destructor
//
FFTJetEFlowSmoother::FFTJetEFlowSmoother(const edm::ParameterSet& ps)
    : FFTJetInterface(ps),
      scalePower(ps.getParameter<double>("scalePower")),
      etConversionFactor(ps.getParameter<double>("etConversionFactor")) {
  // Build the discretization grid
  energyFlow = fftjet_Grid2d_parser(ps.getParameter<edm::ParameterSet>("GridConfiguration"));
  checkConfig(energyFlow, "invalid discretization grid");

  // Copy of the grid which will be used for convolutions
  convolvedFlow = std::make_unique<fftjet::Grid2d<fftjetcms::Real> >(*energyFlow);

  // Build the initial set of pattern recognition scales
  iniScales = fftjet_ScaleSet_parser(ps.getParameter<edm::ParameterSet>("InitialScales"));
  checkConfig(iniScales, "invalid set of scales");

  // Build the FFT engine(s), pattern recognition kernel(s),
  // and the kernel convolver
  buildKernelConvolver(ps);

  // Build the set of pattern recognition scales
  produces<TH3F>(outputLabel);
}

void FFTJetEFlowSmoother::buildKernelConvolver(const edm::ParameterSet& ps) {
  // Check the parameter named "etaDependentScaleFactors". If the vector
  // of scales is empty we will use 2d kernel, otherwise use 1d kernels
  const std::vector<double> etaDependentScaleFactors(ps.getParameter<std::vector<double> >("etaDependentScaleFactors"));

  // Make sure that the number of scale factors provided is correct
  const bool use2dKernel = etaDependentScaleFactors.empty();
  if (!use2dKernel)
    if (etaDependentScaleFactors.size() != energyFlow->nEta())
      throw cms::Exception("FFTJetBadConfig") << "invalid number of eta-dependent scale factors" << std::endl;

  // Get the eta and phi scales for the kernel(s)
  double kernelEtaScale = ps.getParameter<double>("kernelEtaScale");
  const double kernelPhiScale = ps.getParameter<double>("kernelPhiScale");
  if (kernelEtaScale <= 0.0 || kernelPhiScale <= 0.0)
    throw cms::Exception("FFTJetBadConfig") << "invalid kernel scale" << std::endl;

  // FFT assumes that the grid extent in eta is 2*Pi. Adjust the
  // kernel scale in eta to compensate.
  kernelEtaScale *= (2.0 * M_PI / (energyFlow->etaMax() - energyFlow->etaMin()));

  // Are we going to try to fix the efficiency near detector edges?
  const bool fixEfficiency = ps.getParameter<bool>("fixEfficiency");

  // Minimum and maximum eta bin for the convolver
  unsigned convolverMinBin = 0, convolverMaxBin = 0;
  if (fixEfficiency || !use2dKernel) {
    convolverMinBin = ps.getParameter<unsigned>("convolverMinBin");
    convolverMaxBin = ps.getParameter<unsigned>("convolverMaxBin");
  }

  if (use2dKernel) {
    // Build the FFT engine
    engine = std::make_unique<MyFFTEngine>(energyFlow->nEta(), energyFlow->nPhi());

    // 2d kernel
    kernel2d = std::unique_ptr<fftjet::AbsFrequencyKernel>(
        new fftjet::DiscreteGauss2d(kernelEtaScale, kernelPhiScale, energyFlow->nEta(), energyFlow->nPhi()));

    // 2d convolver
    convolver = std::unique_ptr<fftjet::AbsConvolverBase<Real> >(new fftjet::FrequencyKernelConvolver<Real, Complex>(
        engine.get(), kernel2d.get(), convolverMinBin, convolverMaxBin));
  } else {
    // Need separate FFT engines for eta and phi
    engine = std::make_unique<MyFFTEngine>(1, energyFlow->nEta());
    anotherEngine = std::make_unique<MyFFTEngine>(1, energyFlow->nPhi());

    // 1d kernels
    etaKernel =
        std::unique_ptr<fftjet::AbsFrequencyKernel1d>(new fftjet::DiscreteGauss1d(kernelEtaScale, energyFlow->nEta()));

    phiKernel =
        std::unique_ptr<fftjet::AbsFrequencyKernel1d>(new fftjet::DiscreteGauss1d(kernelPhiScale, energyFlow->nPhi()));

    // Sequential convolver
    convolver = std::unique_ptr<fftjet::AbsConvolverBase<Real> >(
        new fftjet::FrequencySequentialConvolver<Real, Complex>(engine.get(),
                                                                anotherEngine.get(),
                                                                etaKernel.get(),
                                                                phiKernel.get(),
                                                                etaDependentScaleFactors,
                                                                convolverMinBin,
                                                                convolverMaxBin,
                                                                fixEfficiency));
  }
}

FFTJetEFlowSmoother::~FFTJetEFlowSmoother() {}

// ------------ method called to produce the data  ------------
void FFTJetEFlowSmoother::produce(edm::Event& iEvent, const edm::EventSetup& iSetup) {
  loadInputCollection(iEvent);
  discretizeEnergyFlow();

  // Various useful variables
  const fftjet::Grid2d<Real>& g(*energyFlow);
  const unsigned nScales = iniScales->size();
  const double* scales = &(*iniScales)[0];
  Real* convData = const_cast<Real*>(convolvedFlow->data());
  const unsigned nEta = g.nEta();
  const unsigned nPhi = g.nPhi();
  const double bin0edge = g.phiBin0Edge();

  // We will fill the following histo
  auto pTable = std::make_unique<TH3F>("FFTJetEFlowSmoother",
                                       "FFTJetEFlowSmoother",
                                       nScales + 1U,
                                       -1.5,
                                       nScales - 0.5,
                                       nEta,
                                       g.etaMin(),
                                       g.etaMax(),
                                       nPhi,
                                       bin0edge,
                                       bin0edge + 2.0 * M_PI);
  TH3F* h = pTable.get();
  h->SetDirectory(nullptr);
  h->GetXaxis()->SetTitle("Scale");
  h->GetYaxis()->SetTitle("Eta");
  h->GetZaxis()->SetTitle("Phi");

  // Fill the original thing
  double factor = etConversionFactor * pow(getEventScale(), scalePower);
  for (unsigned ieta = 0; ieta < nEta; ++ieta)
    for (unsigned iphi = 0; iphi < nPhi; ++iphi)
      h->SetBinContent(1U, ieta + 1U, iphi + 1U, factor * g.binValue(ieta, iphi));

  // Go over all scales and perform the convolutions
  convolver->setEventData(g.data(), nEta, nPhi);
  for (unsigned iscale = 0; iscale < nScales; ++iscale) {
    factor = etConversionFactor * pow(scales[iscale], scalePower);

    // Perform the convolution
    convolver->convolveWithKernel(scales[iscale], convData, convolvedFlow->nEta(), convolvedFlow->nPhi());

    // Fill the output histo
    for (unsigned ieta = 0; ieta < nEta; ++ieta) {
      const Real* etaData = convData + ieta * nPhi;
      for (unsigned iphi = 0; iphi < nPhi; ++iphi)
        h->SetBinContent(iscale + 2U, ieta + 1U, iphi + 1U, factor * etaData[iphi]);
    }
  }

  iEvent.put(std::move(pTable), outputLabel);
}

// ------------ method called once each job just before starting event loop
void FFTJetEFlowSmoother::beginJob() {}

// ------------ method called once each job just after ending the event loop
void FFTJetEFlowSmoother::endJob() {}

//define this as a plug-in
DEFINE_FWK_MODULE(FFTJetEFlowSmoother);