Interface class for the root trees that are written by the Plugin method and related functions. More...

#include <ToyTree.h>

Collaboration diagram for ToyTree:

Public Member Functions
void	activateAllBranches ()
	Activate all branches. More...

void	activateBranch (const TString &bName)
	activate a single Tree More...

void	activateCoreBranchesOnly ()
	Activate only core branches to speed up reading them. More...

void	fill ()
	Save current values of the proxy variables as an event into the TTree. More...

OptParser *	getArg ()

Long64_t	GetEntries ()

void	GetEntry (Long64_t i)

TString	getName ()

float	getScanpointMax ()
	Get maximum of scanpoint variable found in the TTree. More...

float	getScanpointMin ()
	Get minimum of scanpoint variable found in the TTree. More...

int	getScanpointN ()
	Get number of different values of the scanpoint variable found in the TTree. More...

float	getScanpointyMax ()
	Get maximum of scanpointy variable found in the TTree. More...

float	getScanpointyMin ()
	Get minimum of scanpointy variable found in the TTree. More...

int	getScanpointyN ()
	Get number of different values of the scanpointy variable found in the TTree. More...

TTree *	getTree ()

void	init ()
	Initialize a new TTree, set up all its leaves, connect them to the proxy variables. More...

bool	isWsVarAngle (TString var)
	Checks if a certain variable in the work space is an angle. More...

void	open ()
	Provide the interface to read an external TChain. More...

void	setCombiner (Combiner *c)
	Set the combiner to work with. More...

void	setStoreGlob (bool flag)

void	setStoreObs (bool flag)

void	setStoreTh (bool flag)

void	storeObservables ()
	Store the current workspace observables. More...

void	storeParsFree ()
	Store the current workspace fit parameters as the free fit result. More...

void	storeParsGau (const RooArgSet globalConstraintMeans)
	Store the current workspace fit parameters as the free fit result. More...

void	storeParsPll ()
	Store the current workspace fit parameters as the profile likelihood parameters. More...

void	storeParsScan ()
	Store the current workspace fit parameters as the scan fit result. More...

void	storeTheory ()
	Store the current workspace theory parameters. More...

	ToyTree (Combiner c, TChain t=0)

	ToyTree (PDF_Datasets p, OptParser opt, TChain *t=0)

void	writeToFile (TString fName)
	Save the TTree into a root file. More...

void	writeToFile ()

	~ToyTree ()

Public Attributes
float	BergerBoos_id

float	chi2min
	the chi2 of the fit with var fixed to scan point More...

float	chi2minBkg
	the chi2 of the fit of the bkg hypothesis (for CLs method) More...

float	chi2minBkgToy
	the chi2 of the fit of the hypothesis value to the bkg toy distribution (for CLs method) More...

float	chi2minBkgToyPDF

float	chi2minGlobal
	the chi2 of the free fit More...

float	chi2minGlobalBkgToy
	the chi2 of the free fit to the bkg only toys More...

float	chi2minGlobalToy
	the chi2 of the free fit to the toy More...

float	chi2minGlobalToyPDF

float	chi2minToy
	the chi2 of the fit to the toy with var fixed to scan point More...

float	chi2minToyPDF

float	covQualFree

float	covQualScan

float	covQualScanData

float	genericProbPValue

float	id
	an ID to distinguish different conditions, e.g. different toys in a coverage test More...

float	nBergerBoos

float	npoint
	an ID to distinguish different scan point More...

float	nrun
	an ID to distinguish different runs, i.e. batch jobs More...

float	ntoy
	an ID to distinguish different toys More...

float	scanbest
	an alias to the free fit value of the scan variable More...

float	scanbestBkg
	an alias to the free fit value of the scan variable on the bkg only toy (for CLs method) More...

float	scanbesty
	an alias to the free fit value of the scan y variable in 2D scans More...

float	scanpoint
	the scanpoint for 1D scans, or the x scanpoint for 2D scans More...

float	scanpointy
	the y scanpoint for 2D scans More...

float	statusFree

float	statusFreePDF

float	statusScan

float	statusScanData

float	statusScanPDF

TTree *	t
	the tree More...

Private Member Functions
void	computeMinMaxN ()
	Get min scanpoint, max scanpoint, and number of steps by looping over the tree. More...

void	initMembers (TChain *t=0)
	Initialize the data members. More...

Private Attributes
OptParser *	arg
	command line arguments More...

Combiner *	comb
	combination bringing in the arg, workspace, and names More...

map< TString, float >	constraintMeans
	values of global observables More...

TString	globName
	set name of explicit set of global observables More...

TString	name
	combiner name, ending up in titles and file names More...

map< string, float >	observables
	values of the observables More...

TString	obsName
	dataset name of observables, derived from name More...

map< string, float >	parametersFree
	fit result of the free fit More...

map< string, float >	parametersPll
	parameters of the profile likelihood curve of the data More...

map< string, float >	parametersScan
	fit result of the scan fit More...

TString	parsName
	set name of physics parameters, derived from name More...

TString	pdfName
	PDF name in workspace, derived from name. More...

float	scanpointMax
	maximum of the scanpoint, computed by computeMinMaxN(). More...

float	scanpointMin
	minimum of the scanpoint, computed by computeMinMaxN(). More...

int	scanpointN
	number of different values of the scanpoint, computed by computeMinMaxN(). More...

float	scanpointyMax
	maximum of the scanpointy, computed by computeMinMaxN(). More...

float	scanpointyMin
	minimum of the scanpointy, computed by computeMinMaxN(). More...

int	scanpointyN
	number of different values of the scanpointy, computed by computeMinMaxN(). More...

bool	storeGlob
	Boolean flag to control storing ToyTree global observables. Extremely handy in DatasetsScans. More...

bool	storeObs
	Boolean flag to control storing ToyTree observables, can't store these for DatasetsScans. More...

bool	storeTh
	Boolean flag to control storing ToyTree theory parameters. Not needed in DatasetsScans. More...

map< string, float >	theory
	theory parameters (=observables at profile likelihood points) More...

TString	thName
	set name of theory parameters, derived from name More...

RooWorkspace *	w
	holds all input pdfs, parameters, and observables, as well as the combination More...

Detailed Description

Interface class for the root trees that are written by the Plugin method and related functions.

Definition at line 33 of file ToyTree.h.

Constructor & Destructor Documentation

§ ToyTree() [1/2]

ToyTree::ToyTree	(	Combiner *	c,
		TChain *	t = `0`
	)

Definition at line 3 of file ToyTree.cpp.

§ ToyTree() [2/2]

ToyTree::ToyTree	(	PDF_Datasets *	p,
		OptParser *	opt,
		TChain *	t = `0`
	)

Definition at line 12 of file ToyTree.cpp.

§ ~ToyTree()

ToyTree::~ToyTree ( )

Definition at line 30 of file ToyTree.cpp.

Member Function Documentation

§ activateAllBranches()

void ToyTree::activateAllBranches ( )

Activate all branches.

Definition at line 297 of file ToyTree.cpp.

§ activateBranch()

void ToyTree::activateBranch ( const TString & bName )

activate a single Tree

Definition at line 289 of file ToyTree.cpp.

§ activateCoreBranchesOnly()

void ToyTree::activateCoreBranchesOnly ( )

Activate only core branches to speed up reading them.

Definition at line 255 of file ToyTree.cpp.

§ computeMinMaxN()

void ToyTree::computeMinMaxN ( )

private

Get min scanpoint, max scanpoint, and number of steps by looping over the tree.

Definition at line 393 of file ToyTree.cpp.

§ fill()

void ToyTree::fill ( )

Save current values of the proxy variables as an event into the TTree.

Definition at line 103 of file ToyTree.cpp.

§ getArg()

OptParser* ToyTree::getArg ( )

inline

Definition at line 46 of file ToyTree.h.

§ GetEntries()

Long64_t ToyTree::GetEntries ( )

Definition at line 377 of file ToyTree.cpp.

§ GetEntry()

void ToyTree::GetEntry ( Long64_t i )

Definition at line 383 of file ToyTree.cpp.

§ getName()

TString ToyTree::getName ( )

inline

Definition at line 49 of file ToyTree.h.

§ getScanpointMax()

float ToyTree::getScanpointMax ( )

Get maximum of scanpoint variable found in the TTree.

Definition at line 477 of file ToyTree.cpp.

§ getScanpointMin()

float ToyTree::getScanpointMin ( )

Get minimum of scanpoint variable found in the TTree.

Definition at line 468 of file ToyTree.cpp.

§ getScanpointN()

int ToyTree::getScanpointN ( )

Get number of different values of the scanpoint variable found in the TTree.

Definition at line 486 of file ToyTree.cpp.

§ getScanpointyMax()

float ToyTree::getScanpointyMax ( )

Get maximum of scanpointy variable found in the TTree.

Definition at line 504 of file ToyTree.cpp.

§ getScanpointyMin()

float ToyTree::getScanpointyMin ( )

Get minimum of scanpointy variable found in the TTree.

Definition at line 495 of file ToyTree.cpp.

§ getScanpointyN()

int ToyTree::getScanpointyN ( )

Get number of different values of the scanpointy variable found in the TTree.

Definition at line 513 of file ToyTree.cpp.

§ getTree()

TTree* ToyTree::getTree ( )

inline

Definition at line 56 of file ToyTree.h.

§ init()

void ToyTree::init ( )

Initialize a new TTree, set up all its leaves, connect them to the proxy variables.

Definition at line 136 of file ToyTree.cpp.

§ initMembers()

void ToyTree::initMembers ( TChain * t = 0 )

private

Initialize the data members.

Definition at line 36 of file ToyTree.cpp.

§ isWsVarAngle()

bool ToyTree::isWsVarAngle ( TString var )

Checks if a certain variable in the work space is an angle.

Definition at line 522 of file ToyTree.cpp.

§ open()

void ToyTree::open ( )

Provide the interface to read an external TChain.

Definition at line 217 of file ToyTree.cpp.

§ setCombiner()

void ToyTree::setCombiner ( Combiner * c )

Set the combiner to work with.

When setting a new combiner, different from the one used in the constructor, the new one needs to have the same structure, but can have different unique PDF IDs. This way we can, e.g. in the coverage test, save results from many different toys.

Definition at line 82 of file ToyTree.cpp.

§ setStoreGlob()

void ToyTree::setStoreGlob ( bool flag )

inline

Definition at line 69 of file ToyTree.h.

§ setStoreObs()

void ToyTree::setStoreObs ( bool flag )

inline

Definition at line 67 of file ToyTree.h.

§ setStoreTh()

void ToyTree::setStoreTh ( bool flag )

inline

Definition at line 68 of file ToyTree.h.

§ storeObservables()

void ToyTree::storeObservables ( )

Store the current workspace observables.

Definition at line 370 of file ToyTree.cpp.

§ storeParsFree()

void ToyTree::storeParsFree ( )

Store the current workspace fit parameters as the free fit result.

Definition at line 324 of file ToyTree.cpp.

§ storeParsGau()

void ToyTree::storeParsGau ( const RooArgSet globalConstraintMeans )

Store the current workspace fit parameters as the free fit result.

Definition at line 337 of file ToyTree.cpp.

§ storeParsPll()

void ToyTree::storeParsPll ( )

Store the current workspace fit parameters as the profile likelihood parameters.

Definition at line 306 of file ToyTree.cpp.

§ storeParsScan()

void ToyTree::storeParsScan ( )

Store the current workspace fit parameters as the scan fit result.

Definition at line 350 of file ToyTree.cpp.

§ storeTheory()

void ToyTree::storeTheory ( )

Store the current workspace theory parameters.

Definition at line 360 of file ToyTree.cpp.

§ writeToFile() [1/2]

void ToyTree::writeToFile ( TString fName )

Save the TTree into a root file.

Definition at line 111 of file ToyTree.cpp.

§ writeToFile() [2/2]

void ToyTree::writeToFile ( )

Definition at line 121 of file ToyTree.cpp.

Member Data Documentation

§ arg

OptParser* ToyTree::arg

private

command line arguments

Definition at line 110 of file ToyTree.h.

§ BergerBoos_id

float ToyTree::BergerBoos_id

Definition at line 96 of file ToyTree.h.

§ chi2min

float ToyTree::chi2min

the chi2 of the fit with var fixed to scan point

Definition at line 75 of file ToyTree.h.

§ chi2minBkg

float ToyTree::chi2minBkg

the chi2 of the fit of the bkg hypothesis (for CLs method)

Definition at line 77 of file ToyTree.h.

§ chi2minBkgToy

float ToyTree::chi2minBkgToy

the chi2 of the fit of the hypothesis value to the bkg toy distribution (for CLs method)

Definition at line 80 of file ToyTree.h.

§ chi2minBkgToyPDF

float ToyTree::chi2minBkgToyPDF

Definition at line 102 of file ToyTree.h.

§ chi2minGlobal

float ToyTree::chi2minGlobal

the chi2 of the free fit

Definition at line 76 of file ToyTree.h.

§ chi2minGlobalBkgToy

float ToyTree::chi2minGlobalBkgToy

the chi2 of the free fit to the bkg only toys

Definition at line 81 of file ToyTree.h.

§ chi2minGlobalToy

float ToyTree::chi2minGlobalToy

the chi2 of the free fit to the toy

Definition at line 79 of file ToyTree.h.

§ chi2minGlobalToyPDF

float ToyTree::chi2minGlobalToyPDF

Definition at line 101 of file ToyTree.h.

§ chi2minToy

float ToyTree::chi2minToy

the chi2 of the fit to the toy with var fixed to scan point

Definition at line 78 of file ToyTree.h.

§ chi2minToyPDF

float ToyTree::chi2minToyPDF

Definition at line 100 of file ToyTree.h.

§ comb

Combiner* ToyTree::comb

private

combination bringing in the arg, workspace, and names

Definition at line 109 of file ToyTree.h.

§ constraintMeans

map<TString,float> ToyTree::constraintMeans

private

values of global observables

Definition at line 124 of file ToyTree.h.

§ covQualFree

float ToyTree::covQualFree

Definition at line 90 of file ToyTree.h.

§ covQualScan

float ToyTree::covQualScan

Definition at line 92 of file ToyTree.h.

§ covQualScanData

float ToyTree::covQualScanData

Definition at line 94 of file ToyTree.h.

§ genericProbPValue

float ToyTree::genericProbPValue

Definition at line 97 of file ToyTree.h.

§ globName

TString ToyTree::globName

private

set name of explicit set of global observables

Definition at line 117 of file ToyTree.h.

§ id

float ToyTree::id

an ID to distinguish different conditions, e.g. different toys in a coverage test

Definition at line 88 of file ToyTree.h.

§ name

TString ToyTree::name

private

combiner name, ending up in titles and file names

Definition at line 112 of file ToyTree.h.

§ nBergerBoos

float ToyTree::nBergerBoos

Definition at line 95 of file ToyTree.h.

§ npoint

float ToyTree::npoint

an ID to distinguish different scan point

Definition at line 87 of file ToyTree.h.

§ nrun

float ToyTree::nrun

an ID to distinguish different runs, i.e. batch jobs

Definition at line 85 of file ToyTree.h.

§ ntoy

float ToyTree::ntoy

an ID to distinguish different toys

Definition at line 86 of file ToyTree.h.

§ observables

map<string,float> ToyTree::observables

private

values of the observables

Definition at line 122 of file ToyTree.h.

§ obsName

TString ToyTree::obsName

private

dataset name of observables, derived from name

Definition at line 114 of file ToyTree.h.

§ parametersFree

map<string,float> ToyTree::parametersFree

private

fit result of the free fit

Definition at line 120 of file ToyTree.h.

§ parametersPll

map<string,float> ToyTree::parametersPll

private

parameters of the profile likelihood curve of the data

Definition at line 121 of file ToyTree.h.

§ parametersScan

map<string,float> ToyTree::parametersScan

private

fit result of the scan fit

Definition at line 119 of file ToyTree.h.

§ parsName

TString ToyTree::parsName

private

set name of physics parameters, derived from name

Definition at line 115 of file ToyTree.h.

§ pdfName

TString ToyTree::pdfName

private

PDF name in workspace, derived from name.

Definition at line 113 of file ToyTree.h.

§ scanbest

float ToyTree::scanbest

an alias to the free fit value of the scan variable

Definition at line 82 of file ToyTree.h.

§ scanbestBkg

float ToyTree::scanbestBkg

an alias to the free fit value of the scan variable on the bkg only toy (for CLs method)

Definition at line 84 of file ToyTree.h.

§ scanbesty

float ToyTree::scanbesty

an alias to the free fit value of the scan y variable in 2D scans

Definition at line 83 of file ToyTree.h.

§ scanpoint

float ToyTree::scanpoint

the scanpoint for 1D scans, or the x scanpoint for 2D scans

Definition at line 73 of file ToyTree.h.

§ scanpointMax

float ToyTree::scanpointMax

private

maximum of the scanpoint, computed by computeMinMaxN().

Definition at line 127 of file ToyTree.h.

§ scanpointMin

float ToyTree::scanpointMin

private

minimum of the scanpoint, computed by computeMinMaxN().

Definition at line 126 of file ToyTree.h.

§ scanpointN

int ToyTree::scanpointN

private

number of different values of the scanpoint, computed by computeMinMaxN().

Definition at line 128 of file ToyTree.h.

§ scanpointy

float ToyTree::scanpointy

the y scanpoint for 2D scans

Definition at line 74 of file ToyTree.h.

§ scanpointyMax

float ToyTree::scanpointyMax

private

maximum of the scanpointy, computed by computeMinMaxN().

Definition at line 130 of file ToyTree.h.

§ scanpointyMin

float ToyTree::scanpointyMin

private

minimum of the scanpointy, computed by computeMinMaxN().

Definition at line 129 of file ToyTree.h.

§ scanpointyN

int ToyTree::scanpointyN

private

number of different values of the scanpointy, computed by computeMinMaxN().

Definition at line 131 of file ToyTree.h.

§ statusFree

float ToyTree::statusFree

Definition at line 89 of file ToyTree.h.

§ statusFreePDF

float ToyTree::statusFreePDF

Definition at line 98 of file ToyTree.h.

§ statusScan

float ToyTree::statusScan

Definition at line 91 of file ToyTree.h.

§ statusScanData

float ToyTree::statusScanData

Definition at line 93 of file ToyTree.h.

§ statusScanPDF

float ToyTree::statusScanPDF

Definition at line 99 of file ToyTree.h.

§ storeGlob

bool ToyTree::storeGlob

private

Boolean flag to control storing ToyTree global observables. Extremely handy in DatasetsScans.

Definition at line 135 of file ToyTree.h.

§ storeObs

bool ToyTree::storeObs

private

Boolean flag to control storing ToyTree observables, can't store these for DatasetsScans.

Definition at line 133 of file ToyTree.h.

§ storeTh

bool ToyTree::storeTh

private

Boolean flag to control storing ToyTree theory parameters. Not needed in DatasetsScans.

Definition at line 134 of file ToyTree.h.

§ t

TTree* ToyTree::t

the tree

Definition at line 103 of file ToyTree.h.

§ theory

map<string,float> ToyTree::theory

private

theory parameters (=observables at profile likelihood points)

Definition at line 123 of file ToyTree.h.

§ thName

TString ToyTree::thName

private

set name of theory parameters, derived from name

Definition at line 116 of file ToyTree.h.

§ w

RooWorkspace* ToyTree::w

private

holds all input pdfs, parameters, and observables, as well as the combination

Definition at line 111 of file ToyTree.h.

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

/Users/matt/Scratch/lhcb/CombinationCode/gammacombo/core/include/ToyTree.h
/Users/matt/Scratch/lhcb/CombinationCode/gammacombo/core/src/ToyTree.cpp

Public Member Functions

Public Attributes

Private Member Functions

Private Attributes

Detailed Description

Constructor & Destructor Documentation

§ ToyTree() [1/2]

§ ToyTree() [2/2]

§ ~ToyTree()

Member Function Documentation

§ activateAllBranches()

§ activateBranch()

§ activateCoreBranchesOnly()

§ computeMinMaxN()

§ fill()

§ getArg()

§ GetEntries()

§ GetEntry()

§ getName()

§ getScanpointMax()

§ getScanpointMin()

§ getScanpointN()

§ getScanpointyMax()

§ getScanpointyMin()

§ getScanpointyN()

§ getTree()

§ init()

§ initMembers()

§ isWsVarAngle()

§ open()

§ setCombiner()

§ setStoreGlob()

§ setStoreObs()

§ setStoreTh()

§ storeObservables()

§ storeParsFree()

§ storeParsGau()

§ storeParsPll()

§ storeParsScan()

§ storeTheory()

§ writeToFile() [1/2]

§ writeToFile() [2/2]

Member Data Documentation

§ arg

§ BergerBoos_id

§ chi2min

§ chi2minBkg

§ chi2minBkgToy

§ chi2minBkgToyPDF

§ chi2minGlobal

§ chi2minGlobalBkgToy

§ chi2minGlobalToy

§ chi2minGlobalToyPDF

§ chi2minToy

§ chi2minToyPDF

§ comb

§ constraintMeans

§ covQualFree

§ covQualScan

§ covQualScanData

§ genericProbPValue

§ globName

§ id

§ name

§ nBergerBoos

§ npoint

§ nrun

§ ntoy

§ observables

§ obsName

§ parametersFree

§ parametersPll

§ parametersScan

§ parsName

§ pdfName

§ scanbest

§ scanbestBkg

§ scanbesty

§ scanpoint

§ scanpointMax