HGCalTriggerClusterIdentificationBDT.cc

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#include <limits>
#include "FWCore/ParameterSet/interface/FileInPath.h"
#include "FWCore/MessageLogger/interface/MessageLogger.h"
#include "L1Trigger/L1THGCal/interface/backend/HGCalTriggerClusterIdentificationBase.h"
#include "L1Trigger/L1THGCal/interface/HGCalTriggerTools.h"
#include "CommonTools/MVAUtils/interface/TMVAEvaluator.h"
 
class HGCalTriggerClusterIdentificationBDT : public HGCalTriggerClusterIdentificationBase {
public:
  class Category {
  public:
    Category(float pt_min, float pt_max, float eta_min, float eta_max)
        : pt_min_(pt_min), pt_max_(pt_max), eta_min_(eta_min), eta_max_(eta_max) {}
    ~Category() {}
    bool contains(float pt, float eta) const {
      bool output = true;
      if (pt < pt_min_ || pt >= pt_max_)
        output = false;
      if (std::abs(eta) < eta_min_ || std::abs(eta) >= eta_max_)
        output = false;
      return output;
    }
 
    float pt_min() const { return pt_min_; }
    float pt_max() const { return pt_max_; }
    float eta_min() const { return eta_min_; }
    float eta_max() const { return eta_max_; }
 
  private:
    float pt_min_ = 0.;
    float pt_max_ = std::numeric_limits<float>::max();
    float eta_min_ = 1.5;
    float eta_max_ = 3.;
  };
 
public:
  HGCalTriggerClusterIdentificationBDT();
  ~HGCalTriggerClusterIdentificationBDT() override{};
  void initialize(const edm::ParameterSet& conf) final;
  float value(const l1t::HGCalMulticluster& cluster) const final;
  bool decision(const l1t::HGCalMulticluster& cluster) const final;
 
private:
  enum class ClusterVariable {
    cl3d_showerlength,
    cl3d_coreshowerlength,
    cl3d_firstlayer,
    cl3d_maxlayer,
    cl3d_seetot,
    cl3d_seemax,
    cl3d_spptot,
    cl3d_sppmax,
    cl3d_szz,
    cl3d_srrtot,
    cl3d_srrmax,
    cl3d_srrmean
  };
  std::vector<Category> categories_;
  std::vector<std::unique_ptr<TMVAEvaluator>> bdts_;
  std::vector<double> working_points_;
  std::vector<std::string> input_variables_;
  std::vector<ClusterVariable> input_variables_id_;
 
  float clusterVariable(ClusterVariable, const l1t::HGCalMulticluster&) const;
  int category(float pt, float eta) const;
};
 
DEFINE_HGC_TPG_CLUSTER_ID(HGCalTriggerClusterIdentificationBDT, "HGCalTriggerClusterIdentificationBDT");
 
HGCalTriggerClusterIdentificationBDT::HGCalTriggerClusterIdentificationBDT()
    : HGCalTriggerClusterIdentificationBase() {}
 
void HGCalTriggerClusterIdentificationBDT::initialize(const edm::ParameterSet& conf) {
  if (!bdts_.empty()) {
    edm::LogWarning("HGCalTriggerClusterIdentificationBDT|Initialization") << "BDTs already initialized.";
    return;
  }
  input_variables_ = conf.getParameter<std::vector<std::string>>("Inputs");
  std::vector<std::string> bdt_files = conf.getParameter<std::vector<std::string>>("Weights");
  std::vector<double> categories_etamin = conf.getParameter<std::vector<double>>("CategoriesEtaMin");
  std::vector<double> categories_etamax = conf.getParameter<std::vector<double>>("CategoriesEtaMax");
  std::vector<double> categories_ptmin = conf.getParameter<std::vector<double>>("CategoriesPtMin");
  std::vector<double> categories_ptmax = conf.getParameter<std::vector<double>>("CategoriesPtMax");
  working_points_ = conf.getParameter<std::vector<double>>("WorkingPoints");
 
  if (bdt_files.size() != categories_etamin.size() || categories_etamin.size() != categories_etamax.size() ||
      categories_etamax.size() != categories_ptmin.size() || categories_ptmin.size() != categories_ptmax.size() ||
      categories_ptmax.size() != working_points_.size()) {
    throw cms::Exception("HGCalTriggerClusterIdentificationBDT|BadInitialization")
        << "Inconsistent numbers of categories, BDT weight files and working points";
  }
  categories_.reserve(working_points_.size());
  bdts_.reserve(working_points_.size());
  for (unsigned cat = 0; cat < categories_etamin.size(); cat++) {
    categories_.emplace_back(
        categories_ptmin[cat], categories_ptmax[cat], categories_etamin[cat], categories_etamax[cat]);
  }
  std::vector<std::string> spectators = {};
  for (const auto& file : bdt_files) {
    bdts_.emplace_back(new TMVAEvaluator());
    bdts_.back()->initialize("!Color:Silent:!Error",
                             "BDT::bdt",
                             edm::FileInPath(file).fullPath(),
                             input_variables_,
                             spectators,
                             false,
                             false);
  }
 
  // Transform input variable strings to enum values for later comparisons
  input_variables_id_.reserve(input_variables_.size());
  for (const auto& variable : input_variables_) {
    if (variable == "cl3d_showerlength")
      input_variables_id_.push_back(ClusterVariable::cl3d_showerlength);
    else if (variable == "cl3d_coreshowerlength")
      input_variables_id_.push_back(ClusterVariable::cl3d_coreshowerlength);
    else if (variable == "cl3d_firstlayer")
      input_variables_id_.push_back(ClusterVariable::cl3d_firstlayer);
    else if (variable == "cl3d_maxlayer")
      input_variables_id_.push_back(ClusterVariable::cl3d_maxlayer);
    else if (variable == "cl3d_seetot")
      input_variables_id_.push_back(ClusterVariable::cl3d_seetot);
    else if (variable == "cl3d_seemax")
      input_variables_id_.push_back(ClusterVariable::cl3d_seemax);
    else if (variable == "cl3d_spptot")
      input_variables_id_.push_back(ClusterVariable::cl3d_spptot);
    else if (variable == "cl3d_sppmax")
      input_variables_id_.push_back(ClusterVariable::cl3d_sppmax);
    else if (variable == "cl3d_szz")
      input_variables_id_.push_back(ClusterVariable::cl3d_szz);
    else if (variable == "cl3d_srrtot")
      input_variables_id_.push_back(ClusterVariable::cl3d_srrtot);
    else if (variable == "cl3d_srrmax")
      input_variables_id_.push_back(ClusterVariable::cl3d_srrmax);
    else if (variable == "cl3d_srrmean")
      input_variables_id_.push_back(ClusterVariable::cl3d_srrmean);
  }
}
 
float HGCalTriggerClusterIdentificationBDT::value(const l1t::HGCalMulticluster& cluster) const {
  std::map<std::string, float> inputs;
  for (unsigned i = 0; i < input_variables_.size(); i++) {
    inputs[input_variables_[i]] = clusterVariable(input_variables_id_[i], cluster);
  }
  float pt = cluster.pt();
  float eta = cluster.eta();
  int cat = category(pt, eta);
  return (cat != -1 ? bdts_.at(cat)->evaluate(inputs) : -999.);
}
 
bool HGCalTriggerClusterIdentificationBDT::decision(const l1t::HGCalMulticluster& cluster) const {
  float bdt_output = value(cluster);
  float pt = cluster.pt();
  float eta = cluster.eta();
  int cat = category(pt, eta);
  return (cat != -1 ? bdt_output > working_points_.at(cat) : true);
}
 
int HGCalTriggerClusterIdentificationBDT::category(float pt, float eta) const {
  for (unsigned cat = 0; cat < categories_.size(); cat++) {
    if (categories_[cat].contains(pt, eta))
      return static_cast<int>(cat);
  }
  return -1;
}
 
float HGCalTriggerClusterIdentificationBDT::clusterVariable(ClusterVariable variable,
                                                            const l1t::HGCalMulticluster& cluster) const {
  switch (variable) {
    case ClusterVariable::cl3d_showerlength:
      return cluster.showerLength();
    case ClusterVariable::cl3d_coreshowerlength:
      return cluster.coreShowerLength();
    case ClusterVariable::cl3d_firstlayer:
      return cluster.firstLayer();
    case ClusterVariable::cl3d_maxlayer:
      return cluster.maxLayer();
    case ClusterVariable::cl3d_seetot:
      return cluster.sigmaEtaEtaTot();
    case ClusterVariable::cl3d_seemax:
      return cluster.sigmaEtaEtaMax();
    case ClusterVariable::cl3d_spptot:
      return cluster.sigmaPhiPhiTot();
    case ClusterVariable::cl3d_sppmax:
      return cluster.sigmaPhiPhiMax();
    case ClusterVariable::cl3d_szz:
      return cluster.sigmaZZ();
    case ClusterVariable::cl3d_srrtot:
      return cluster.sigmaRRTot();
    case ClusterVariable::cl3d_srrmax:
      return cluster.sigmaRRMax();
    case ClusterVariable::cl3d_srrmean:
      return cluster.sigmaRRMean();
    default:
      break;
  }
  return 0.;
}