TPSVariables

Description

Class to manage variables used in the TPS Machine Learning analysis This class defines and stores information about variables used in the TPS analysis, including jet kinematics, pair asymmetry variables, and S-observables.

#include <TPSVariables.h>

Collaboration diagram for TPSVariables:

Classes
struct	VariableInfo

Public Member Functions
	TPSVariables (TMVA::DataLoader *dataloader=nullptr)
void	printVariables () const

Public Attributes
std::vector< VariableInfo >	variables_

Constructor & Destructor Documentation

TPSVariables()

TPSVariables ( TMVA::DataLoader *  dataloader = nullptr )

inline

                                                       {
 
        // Basic jet variables
        variables_.emplace_back("nJets", 'I', "Number of jets");
        variables_.emplace_back("jet_pt[0]", 'F', "Leading jet pT");
        variables_.emplace_back("jet_pt[1]", 'F', "Second jet pT");
        variables_.emplace_back("jet_eta[0]", 'F', "Leading jet eta");
        // variables_.emplace_back("jet_eta[1]", 'F', "Second jet eta");
        variables_.emplace_back("jet_phi[0]", 'F', "Leading jet phi");
        // variables_.emplace_back("jet_phi[1]", 'F', "Second jet phi");
        
        // Pair asymmetry variables
        for (int j = 1; j <= 2; j++) {
            variables_.emplace_back(Form("pt_pair_asymm_abs_0[%d]", j), 'F', 
                                  Form("PT pair asymmetry absolute for jet pair 0-%d", j));
            variables_.emplace_back(Form("Delta_eta_pair_0[%d]", j), 'F', 
                                  Form("Delta eta for jet pair 0-%d", j));
            variables_.emplace_back(Form("Delta_phi_pair_0[%d]", j), 'F', 
                                  Form("Delta phi for jet pair 0-%d", j));
        }
        
        // S observables
        variables_.emplace_back("S_pt", 'D', "S_pt observable");
        variables_.emplace_back("S_pt_min", 'D', "S_pt_min observable");
        variables_.emplace_back("S_pt_4[0]", 'D', "S_pt_4[0] observable");
        // variables_.emplace_back("S_pt_4[1]", 'D', "S_pt_4[1] observable");
        variables_.emplace_back("S_pt_4_min[0]", 'D', "S_pt_4_min observable");
 
        variables_.emplace_back("S_phi", 'D', "S_phi observable");
        variables_.emplace_back("S_phi_min", 'D', "S_phi_min observable");
        // variables_.emplace_back("S_phi_min", 'D', "S_phi_min observable");
        variables_.emplace_back("S_phi_4[0]", 'D', "S_phi_4[0] observable");
        // variables_.emplace_back("S_phi_4[1]", 'D', "S_phi_4[1] observable");
        variables_.emplace_back("S_phi_4_min[0]", 'D', "S_phi_4_min observable");
        
        // Add variables to TMVA DataLoader for training
        if (dataloader) {
            for (const auto& var : variables_) {
                dataloader->AddVariable(var.name, var.type);
            }
        }
    }

Member Function Documentation

printVariables()

void printVariables ( ) const

inline

                                {
        std::cout << "TPS Variables (" << variables_.size() << " total):" << std::endl;
        for (size_t i = 0; i < variables_.size(); ++i) {
            const auto& var = variables_[i];
            std::cout << "  " << i+1 << ". " << var.name.Data() << " [" << var.type << "]";
            if (!var.description.IsNull()) {
                std::cout << " - " << var.description.Data();
            }
            std::cout << std::endl;
        }
    }

Member Data Documentation

variables_

std::vector<VariableInfo> variables_

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The documentation for this class was generated from the following file:

• /builds/cms-analysis/general/DasAnalysisSystem/Core/Installer/Core/MachineLearning/interface/TPSVariables.h