Class representing the DB payload w/ information about ECL PDF parameters for a set of particle hypotheses 'signed pdgId' values, i.e. More...

#include <ECLChargedPidPDFs.h>

Inheritance diagram for ECLChargedPidPDFs:

Classes
class	VarTransfoSettings
	Class to hold parameters needed to perform pre-processing of input variables (e.g., gaussianisation, decorrelation) to build a multi-dimensional likelihood model. More...

Public Types
enum class	InputVar : unsigned int { c_NONE = 0 , c_E1E9 = 1 , c_E9E21 = 2 , c_S2 = 3 , c_E = 4 , c_EoP = 5 , c_Z40 = 6 , c_Z51 = 7 , c_ZMVA = 8 , c_PSDMVA = 9 , c_DeltaL = 10 , c_LAT = 11 }
	Enum type for observables for which PDFs are stored. More...

typedef std::unordered_map< InputVar, TF1 * >	PdfsByVariable
	Typedef.

typedef std::unordered_map< int, PdfsByVariable >	PdfsMapByCategory
	Typedef.

typedef std::unordered_map< int, PdfsMapByCategory >	PdfsMapByParticle
	Typedef.

typedef std::unordered_map< int, std::vector< InputVar > >	VariablesMapByCategory
	Typedef.

typedef std::unordered_map< int, VariablesMapByCategory >	VariablesMapByParticle
	Typedef.

typedef std::unordered_map< int, VarTransfoSettings >	VTSMapByCategory
	Typedef.

typedef std::unordered_map< int, VTSMapByCategory >	VTSMapByParticle
	Typedef.

Public Member Functions
	ECLChargedPidPDFs ()
	Default constructor.

	~ECLChargedPidPDFs ()
	Destructor.

void	setVars (const unsigned int pdg, const int true_charge, const unsigned int i, const unsigned int j, const std::vector< InputVar > &vars)
	Set the names of the input variables for which PDFs are stored for a given hypothesis and category (p, clusterTheta).

const std::vector< InputVar > *	getVars (const unsigned int pdg, const int charge, const double &p, const double &theta) const
	Getter for list of input variables (enums) for which PDFs are stored for a given hypothesis and category (p, clusterTheta).

void	printPdfMap (const unsigned int pdg=0, const double &p=-1.0, const double &theta=-999.0, const int true_charge=1, const InputVar varid=InputVar::c_NONE) const
	Print out the content of the internal 'matrioska' maps.

void	setEnergyUnit (const double &unit)
	Set the energy unit to be consistent w/ the one used in the fit.

void	setAngularUnit (const double &unit)
	Set the angular unit to be consistent w/ the one used in the fit.

void	setPdfCategories (TH2F *h)
	Set the 2D (clusterTheta, p) grid representing the categories for which PDFs are defined.

const TH2F *	getPdfCategories () const
	Get the 2D (clusterTheta, p) grid representing the categories for which PDFs are defined.

void	add (const unsigned int pdg, const int true_charge, const unsigned int i, const unsigned int j, const InputVar varid, TF1 *pdf)
	Fills the internal maps for a given hypothesis and category (clusterTheta, p).

const TF1 *	getPdf (const unsigned int pdg, const int charge, const double &p, const double &theta, const InputVar varid) const
	Return the PDF of this observable for this candidate's reconstructed (p, clusterTheta), under the given particle hypothesis.

bool	doVarsTransfo () const
	Check whether variables transformation is applied.

void	storeVarsTransfoSettings (const unsigned int pdg, const int true_charge, const unsigned int i, const unsigned int j, const int nVars, const std::string &classPath="", const std::vector< int > &nDivisions=std::vector< int >(), const std::vector< double > &cumulDist=std::vector< double >(), const std::vector< double > &x=std::vector< double >(), const std::vector< double > &covMatrix=std::vector< double >())
	Setup the variable transformations for a given hypothesis in a category (p, clusterTheta), needed to build a multi-dimensional likelihood.

const VarTransfoSettings *	getVTS (const unsigned int pdg, const int charge, const double &p, const double &theta) const
	Getter for variable transformation settings.

Private Member Functions
int	findBin (const TH2F *h, const double &x, const double &y) const
	Find global bin index of a 2D histogram for the given (x, y) values.

	ClassDef (ECLChargedPidPDFs, 2)
	ClassDef.

Private Attributes
TParameter< double >	m_energy_unit
	The energy unit used for the binning.

TParameter< double >	m_ang_unit
	The angular unit used for the binning.

TH2F *	m_categories = nullptr
	A 2D (x, y) = (clusterTheta, p) histogram whose bins represent the categories for which PDFs are defined.

VariablesMapByParticle	m_variablesmap
	Internal map.

VariablesMapByCategory	m_variablesmap_bycategory
	Internal map.

bool	m_do_varstransform = false
	To be toggled on if input variables have been transformed (i.e., if `storeVarsTransfoSettings()` was called when creating the payload).

PdfsMapByParticle	m_pdfsmap
	Internal map.

PdfsMapByCategory	m_pdfsmap_bycategory
	Internal map.

PdfsByVariable	m_pdfs_byvariable
	Internal map.

VTSMapByParticle	m_vtsmap
	Internal map.

VTSMapByCategory	m_vtsmap_bycategory
	Internal map.

Detailed Description

Class representing the DB payload w/ information about ECL PDF parameters for a set of particle hypotheses 'signed pdgId' values, i.e.

abs(pdgId) x true_charge.

Definition at line 30 of file ECLChargedPidPDFs.h.

Member Typedef Documentation

◆ PdfsByVariable

typedef std::unordered_map<InputVar, TF1*> PdfsByVariable

Typedef.

Definition at line 102 of file ECLChargedPidPDFs.h.

◆ PdfsMapByCategory

typedef std::unordered_map<int, PdfsByVariable > PdfsMapByCategory

Typedef.

Definition at line 103 of file ECLChargedPidPDFs.h.

◆ PdfsMapByParticle

typedef std::unordered_map<int, PdfsMapByCategory > PdfsMapByParticle

Typedef.

Definition at line 104 of file ECLChargedPidPDFs.h.

◆ VariablesMapByCategory

typedef std::unordered_map<int, std::vector<InputVar> > VariablesMapByCategory

Typedef.

Definition at line 105 of file ECLChargedPidPDFs.h.

◆ VariablesMapByParticle

typedef std::unordered_map<int, VariablesMapByCategory > VariablesMapByParticle

Typedef.

Definition at line 106 of file ECLChargedPidPDFs.h.

◆ VTSMapByCategory

typedef std::unordered_map<int, VarTransfoSettings> VTSMapByCategory

Typedef.

Definition at line 108 of file ECLChargedPidPDFs.h.

◆ VTSMapByParticle

typedef std::unordered_map<int, VTSMapByCategory > VTSMapByParticle

Typedef.

Definition at line 109 of file ECLChargedPidPDFs.h.

Member Enumeration Documentation

◆ InputVar

enum class InputVar : unsigned int

strong

Enum type for observables for which PDFs are stored.

Enumerator
c_NONE	Null var.
c_E1E9	E1/E9.
c_E9E21	E9/E21.
c_S2	Second moment.
c_E	Energy of maxE shower.
c_EoP	E/p.
c_Z40	Zernike moment 40.
c_Z51	Zernike moment 51.
c_ZMVA	Zernike MVA.
c_PSDMVA	PSD MVA.
c_DeltaL	DeltaL (track depth)
c_LAT	Lateral shower shape.

Definition at line 49 of file ECLChargedPidPDFs.h.

                        : unsigned int {
      c_NONE = 0,
      c_E1E9 = 1,
      c_E9E21 = 2,
      c_S2 = 3,
      c_E = 4,
      c_EoP = 5,
      c_Z40 = 6,
      c_Z51 = 7,
      c_ZMVA = 8,
      c_PSDMVA = 9,
      c_DeltaL = 10,
      c_LAT = 11
    };

Constructor & Destructor Documentation

◆ ECLChargedPidPDFs()

ECLChargedPidPDFs ( )

inline

Default constructor.

Definition at line 35 of file ECLChargedPidPDFs.h.

                        :
      m_energy_unit("energyUnit", Unit::rad),
      m_ang_unit("angularUnit", Unit::GeV),
      m_variablesmap(),
      m_pdfsmap(),
      m_vtsmap()
    {};

◆ ~ECLChargedPidPDFs()

~ECLChargedPidPDFs ( )

inline

Destructor.

Definition at line 44 of file ECLChargedPidPDFs.h.

44{};

Member Function Documentation

◆ add()

void add	(	const unsigned int	pdg,
		const int	true_charge,
		const unsigned int	i,
		const unsigned int	j,
		const InputVar	varid,
		TF1 *	pdf
	)

inline

Fills the internal maps for a given hypothesis and category (clusterTheta, p).

Parameters

pdg	the particle hypothesis' abs(pdgId).
true_charge	the particle's true charge sign (+1 or -1).
i	the index along the 2D grid Y axis (rows) --> p.
j	the index along the 2D grid X axis (cols) --> clusterTheta.
varid	the observable's enum identifier.
pdf	the pdf object.

Definition at line 226 of file ECLChargedPidPDFs.h.

    {
 
      auto ji = m_categories->GetBin(j, i);
 
      const int signed_pdg = pdg * true_charge / std::abs(true_charge);
 
      m_pdfsmap[signed_pdg][ji][varid] = pdf;
 
    }

◆ ClassDef()

ClassDef	(	ECLChargedPidPDFs	,
		2
	)

private

ClassDef.

2: removed dependency on pdgId of category histograms added enum InputVar added m_variablesmap_bycategory added m_do_varstransform added m_variables

◆ doVarsTransfo()

bool doVarsTransfo ( ) const

inline

Check whether variables transformation is applied.

Definition at line 270 of file ECLChargedPidPDFs.h.

270{ return m_do_varstransform; }

Belle2::ECLChargedPidPDFs::m_do_varstransform

bool m_do_varstransform

To be toggled on if input variables have been transformed (i.e., if storeVarsTransfoSettings() was ca...

Definition: ECLChargedPidPDFs.h:403

◆ findBin()

int findBin	(	const TH2F *	h,
		const double &	x,
		const double &	y
	)		const

inlineprivate

Find global bin index of a 2D histogram for the given (x, y) values.

This method had to be re-implemented b/c ROOT has no const version of TH1::FindBin() :(

Parameters

h	2D histogram
x	value along the x axis.
y	value along the y axis.

Returns: the global linearised bin index.

Definition at line 349 of file ECLChargedPidPDFs.h.

    {
 
      int nbinsx_vis = h->GetXaxis()->GetNbins();
      int nbinsy_vis = h->GetYaxis()->GetNbins();
 
      double xx = x;
      double yy = y;
 
      // If x, y are outside of the 2D hogram grid (visible) range, set their value to
      // fall in the last (first) bin before (after) overflow (underflow).
      if (x < h->GetXaxis()->GetBinLowEdge(1))             { xx = h->GetXaxis()->GetBinCenter(1); }
      if (x >= h->GetXaxis()->GetBinLowEdge(nbinsx_vis + 1)) { xx = h->GetXaxis()->GetBinCenter(nbinsx_vis); }
      if (y < h->GetYaxis()->GetBinLowEdge(1))             { yy = h->GetYaxis()->GetBinCenter(1); }
      if (y >= h->GetYaxis()->GetBinLowEdge(nbinsy_vis + 1)) { yy = h->GetYaxis()->GetBinCenter(nbinsy_vis); }
 
      int nbinsx = h->GetXaxis()->GetNbins() + 2;
      int j = h->GetXaxis()->FindBin(xx);
      int i = h->GetYaxis()->FindBin(yy);
 
      return j + nbinsx * i;
    }

◆ getPdf()

const TF1 * getPdf	(	const unsigned int	pdg,
		const int	charge,
		const double &	p,
		const double &	theta,
		const InputVar	varid
	)		const

inline

Return the PDF of this observable for this candidate's reconstructed (p, clusterTheta), under the given particle hypothesis.

Parameters

pdg	the particle hypothesis' abs(pdgId).
charge	the particle's reconstructed charge sign (+1 or -1).
p	the reconstructed momentum of the candidate's track.
theta	the reconstructed polar angle of the candidate's cluster.
varid	the observable's enum identifier.

Definition at line 245 of file ECLChargedPidPDFs.h.

    {
 
      const int signed_pdg = pdg * charge / std::abs(charge);
 
      double pp = p / m_energy_unit.GetVal();
      double th = TMath::Abs(theta) / m_ang_unit.GetVal();
 
      int gbin = findBin(m_categories, th, pp);
 
      int x, y, z;
      m_categories->GetBinXYZ(gbin, x, y, z);
 
      B2DEBUG(30, "\t\tAngular unit: " <<  m_ang_unit.GetVal());
      B2DEBUG(30, "\t\tEnergy unit: " << m_energy_unit.GetVal());
      B2DEBUG(30, "\t\t|pdgId| * reco_charge = " << signed_pdg << ", clusterTheta = " << th << ", p = " << pp);
      B2DEBUG(30, "\t\tgbin = " << gbin << ", x,y = (" << x << "," << y << ")");
      B2DEBUG(30, "\t\tvariable id = " << static_cast<unsigned int>(varid));
 
      return m_pdfsmap.at(signed_pdg).at(gbin).at(varid);
    }

◆ getPdfCategories()

const TH2F * getPdfCategories ( ) const

inline

Get the 2D (clusterTheta, p) grid representing the categories for which PDFs are defined.

Definition at line 212 of file ECLChargedPidPDFs.h.

    {
      return m_categories;
    }

◆ getVars()

const std::vector< InputVar > * getVars	(	const unsigned int	pdg,
		const int	charge,
		const double &	p,
		const double &	theta
	)		const

inline

Getter for list of input variables (enums) for which PDFs are stored for a given hypothesis and category (p, clusterTheta).

Parameters

pdg	the particle hypothesis' abs(pdgId).
charge	the particle's reconstructed charge sign (+1 or -1).
p	the reconstructed momentum of the particle's track.
theta	the reconstructed polar angle of the particle's cluster.

Definition at line 139 of file ECLChargedPidPDFs.h.

    {
 
      auto gbin = findBin(m_categories, theta, p);
 
      const int signed_pdg = pdg * charge / std::abs(charge);
 
      return &(m_variablesmap.at(signed_pdg).at(gbin));
 
    }

◆ getVTS()

const VarTransfoSettings * getVTS	(	const unsigned int	pdg,
		const int	charge,
		const double &	p,
		const double &	theta
	)		const

inline

Getter for variable transformation settings.

Parameters

pdg	the particle hypothesis' abs(pdgId).
charge	the particle's reconstructed charge sign (+1 or -1).
p	the reconstructed momentum of the candidate's track.
theta	the reconstructed polar angle of the candidate's cluster.

Definition at line 328 of file ECLChargedPidPDFs.h.

    {
 
      const int signed_pdg = pdg * charge / std::abs(charge);
 
      auto gbin = findBin(m_categories, theta, p);
 
      return &(m_vtsmap.at(signed_pdg).at(gbin));
 
    }

◆ printPdfMap()

void printPdfMap	(	const unsigned int	pdg = `0`,
		const double &	p = `-1.0`,
		const double &	theta = `-999.0`,
		const int	true_charge = `1`,
		const InputVar	varid = `InputVar::c_NONE`
	)		const

inline

Print out the content of the internal 'matrioska' maps.

Useful for debugging.

Definition at line 153 of file ECLChargedPidPDFs.h.

    {
 
      const int signed_pdg = pdg * true_charge / std::abs(true_charge);
 
      std::cout << "Printing PDF info: " << std::endl;
      if (pdg) std::cout << "-) |pdgId| * true_charge = " << signed_pdg << std::endl;
      if (p != -1.0) std::cout << "-) p = " << p << " [GeV/c]" << std::endl;
      if (theta != -999.0) std::cout << "-) clusterTheta = " << theta << " [rad]" << std::endl;
      if (varid != InputVar::c_NONE) std::cout << "-) varid = " << static_cast<unsigned int>(varid) << std::endl;
 
      int x, y, z;
      for (const auto& pair0 : m_pdfsmap) {
 
        if (signed_pdg && signed_pdg != pair0.first) continue;
 
        for (const auto& pair1 : pair0.second) {
 
          auto ji(-1);
          if (p != -1.0 && theta != -999.0) {
            ji = findBin(m_categories, theta, p);
            m_categories->GetBinXYZ(ji, x, y, z);
          }
          if (ji > 0 && ji != pair1.first) continue;
 
          std::cout << "\tglobal_bin_idx: " << pair1.first << " (" << x << "," << y << ")" << std::endl;
 
          for (const auto& pair2 : pair1.second) {
            if (varid != InputVar::c_NONE && varid != pair2.first) continue;
            std::cout << "\t\tvarid: " << static_cast<unsigned int>(varid) << ", TF1: " << pair2.second->GetName() << std::endl;
          }
 
        }
      }
    }

◆ setAngularUnit()

void setAngularUnit ( const double & unit )

inline

Set the angular unit to be consistent w/ the one used in the fit.

Definition at line 198 of file ECLChargedPidPDFs.h.

198{ m_ang_unit.SetVal(unit); }

◆ setEnergyUnit()

void setEnergyUnit ( const double & unit )

inline

Set the energy unit to be consistent w/ the one used in the fit.

Definition at line 194 of file ECLChargedPidPDFs.h.

194{ m_energy_unit.SetVal(unit); }

◆ setPdfCategories()

void setPdfCategories ( TH2F * h )

inline

Set the 2D (clusterTheta, p) grid representing the categories for which PDFs are defined.

Parameters

h	the 2D histogram.

Definition at line 204 of file ECLChargedPidPDFs.h.

    {
      m_categories = h;
    }

◆ setVars()

void setVars	(	const unsigned int	pdg,
		const int	true_charge,
		const unsigned int	i,
		const unsigned int	j,
		const std::vector< InputVar > &	vars
	)

inline

Set the names of the input variables for which PDFs are stored for a given hypothesis and category (p, clusterTheta).

Parameters

pdg	the particle hypothesis' abs(pdgId).
true_charge	the particle's true charge sign (+1 or -1).
i	the index along the 2D grid Y axis (rows) --> p.
j	the index along the 2D grid X axis (cols) --> clusterTheta.
vars	the list of variables. The variable ID is not a string, but an enum code integer as defined in InputVar.

Definition at line 119 of file ECLChargedPidPDFs.h.

    {
      auto ji = m_categories->GetBin(j, i);
 
      m_variablesmap_bycategory[ji] = vars;
 
      const int signed_pdg = pdg * true_charge / std::abs(true_charge);
 
      m_variablesmap[signed_pdg] = m_variablesmap_bycategory;
 
    }

◆ storeVarsTransfoSettings()

void storeVarsTransfoSettings	(	const unsigned int	pdg,
		const int	true_charge,
		const unsigned int	i,
		const unsigned int	j,
		const int	nVars,
		const std::string &	classPath = `""`,
		const std::vector< int > &	nDivisions = `std::vector<int>()`,
		const std::vector< double > &	cumulDist = `std::vector<double>()`,
		const std::vector< double > &	x = `std::vector<double>()`,
		const std::vector< double > &	covMatrix = `std::vector<double>()`
	)

inline

Setup the variable transformations for a given hypothesis in a category (p, clusterTheta), needed to build a multi-dimensional likelihood.

Parameters

pdg	the particle hypothesis' abs(pdgId).
true_charge	the particle's true charge sign (+1 or -1).
i	the index along the 2D grid Y axis (rows) --> p.
j	the index along the 2D grid X axis (cols) --> clusterTheta.
nVars	the number of input variables used to build the model.
classPath	(for debugging) full path to the file containing the TMVA standalone class used to get the variables transformation parameters.
nDivisions	the number of divisions (steps) of the variable's range.
cumulDist	the value of the variable's cumulative density function at each step.
x	the value of the variable at each step.
covMatrix	the variables' inverse square-root covariance matrix.

Definition at line 285 of file ECLChargedPidPDFs.h.

    {
 
      const int signed_pdg = pdg * true_charge / std::abs(true_charge);
 
      m_do_varstransform = true;
 
      VarTransfoSettings vts;
 
      vts.nVars = nVars;
      vts.classPath = classPath;
      vts.nDivisionsMax = (!nDivisions.empty()) ? *(std::max_element(std::begin(nDivisions), std::end(nDivisions))) : 0;
      vts.nDivisions = nDivisions;
      vts.cumulDist = cumulDist;
      vts.x = x;
      vts.covMatrix = covMatrix;
 
      auto ji = m_categories->GetBin(j, i);
      vts.gbin = ji;
      vts.ip   = i;
      vts.jth  = j;
 
      m_vtsmap_bycategory[ji] = vts;
 
      m_vtsmap[signed_pdg] = m_vtsmap_bycategory;
 
    }

Member Data Documentation

◆ m_ang_unit

TParameter<double> m_ang_unit

private

The angular unit used for the binning.

Definition at line 375 of file ECLChargedPidPDFs.h.

◆ m_categories

TH2F* m_categories = nullptr

private

A 2D (x, y) = (clusterTheta, p) histogram whose bins represent the categories for which PDFs are defined.

It is used to lookup the correct PDF in the payload, given a reconstructed pair (clusterTheta, p).

Definition at line 381 of file ECLChargedPidPDFs.h.

◆ m_do_varstransform

bool m_do_varstransform = false

private

To be toggled on if input variables have been transformed (i.e., if storeVarsTransfoSettings() was called when creating the payload).

Definition at line 403 of file ECLChargedPidPDFs.h.

◆ m_energy_unit

TParameter<double> m_energy_unit

private

The energy unit used for the binning.

Definition at line 374 of file ECLChargedPidPDFs.h.

◆ m_pdfs_byvariable

PdfsByVariable m_pdfs_byvariable

private

Internal map.

The key corresponds to an observable of interest (E/p, E, shower shape...). The mapped value is a TF1 representing the normalised PDF for that variable, for a given particle in a given category (clusterTheta, p).

Definition at line 424 of file ECLChargedPidPDFs.h.

◆ m_pdfsmap

PdfsMapByParticle m_pdfsmap

private

Internal map.

The key corresponds to the particle hypothesis' signed pdgId. The mapped value is a PdfsMapByCategory map, described below.

Definition at line 410 of file ECLChargedPidPDFs.h.

◆ m_pdfsmap_bycategory

PdfsMapByCategory m_pdfsmap_bycategory

private

Internal map.

The key corresponds to the global bin index in the 2D (clusterTheta, p) category grid. The mapped value is a PdfsByVariable map, described below.

Definition at line 417 of file ECLChargedPidPDFs.h.

◆ m_variablesmap

VariablesMapByParticle m_variablesmap

private

Internal map.

The key corresponds to the particle hypothesis' signed pdgId. The mapped value is a VariablesMapByCategory map, described below.

Definition at line 388 of file ECLChargedPidPDFs.h.

◆ m_variablesmap_bycategory

VariablesMapByCategory m_variablesmap_bycategory

private

Internal map.

The key corresponds to the global bin index in the 2D (clusterTheta, p) grid. The mapped value is a list of variables used for the MVA training for a given particle in a given 2D bin. NB: the order of the variables in the mapped vector matches the one used in the training by construction!

Definition at line 397 of file ECLChargedPidPDFs.h.

◆ m_vtsmap

VTSMapByParticle m_vtsmap

private

Internal map.

The key corresponds to the particle hypothesis' signed pdgId. The mapped value is a VTSMapByCategory map, described below.

Definition at line 431 of file ECLChargedPidPDFs.h.

◆ m_vtsmap_bycategory

VTSMapByCategory m_vtsmap_bycategory

private

Internal map.

The key corresponds to the global bin index in the 2D (clusterTheta, p) category grid. The mapped value is a VarTransfoSettings struct, containing the info for transforming input variables for a given particle in a given category.

Definition at line 439 of file ECLChargedPidPDFs.h.

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

ecl/dbobjects/include/ECLChargedPidPDFs.h

Classes

Public Types

Public Member Functions

Private Member Functions

Private Attributes

Detailed Description

Member Typedef Documentation

◆ PdfsByVariable

◆ PdfsMapByCategory

◆ PdfsMapByParticle

◆ VariablesMapByCategory

◆ VariablesMapByParticle

◆ VTSMapByCategory

◆ VTSMapByParticle

Member Enumeration Documentation

◆ InputVar

Constructor & Destructor Documentation

◆ ECLChargedPidPDFs()

◆ ~ECLChargedPidPDFs()

Member Function Documentation

◆ add()

◆ ClassDef()

◆ doVarsTransfo()

◆ findBin()

◆ getPdf()

◆ getPdfCategories()

◆ getVars()

◆ getVTS()

◆ printPdfMap()

◆ setAngularUnit()

◆ setEnergyUnit()

◆ setPdfCategories()

◆ setVars()

◆ storeVarsTransfoSettings()

Member Data Documentation

◆ m_ang_unit

◆ m_categories

◆ m_do_varstransform

◆ m_energy_unit

◆ m_pdfs_byvariable

◆ m_pdfsmap

◆ m_pdfsmap_bycategory

◆ m_variablesmap

◆ m_variablesmap_bycategory

◆ m_vtsmap

◆ m_vtsmap_bycategory