Inheritance diagram for GraphSysErr::LinearSigmaCombiner:

Public Member Functions
Double_t	W (const Observation &r) const

Double_t	StepW (Double_t guess, const Observation &r) const

Double_t	StepOffset (Double_t, const Observation &) const

Double_t	VarTerm (Double_t guess, const Observation &r) const

Wrapper_t	Wrapper () const

Public Member Functions inherited from GraphSysErr::Combiner
	Combiner ()

virtual	~Combiner ()

Double_t	ChiTerm (Double_t guess, const Observation &r) const

Double_t	F (Double_t guess, Double_t chi2) const

Double_t	E (UShort_t nIter, Int_t sign, Double_t best, Double_t chi2, Double_t s)

Double_t	X (UShort_t nIter, Double_t lowest, Double_t highest)

Result *	Calculate (UShort_t nIter=50)

TF1 *	MakeF (const Observation &r, Int_t j) const

TLine *	MakeL (TF1 *f) const

void	Draw (Option_t *option="")

void	Clear (Option_t *option="")

void	Add (const Observation &r)

void	Add (Double_t x, Double_t el, Double_t eh)

void	Print (Option_t *option="") const

Static Public Member Functions
static Double_t	L (Double_t guess, Double_t x, Double_t el, Double_t eh)

static Double_t	WrapL (Double_t xp, Double_t pp)

Additional Inherited Members
Public Types inherited from GraphSysErr::Combiner
typedef Double_t(*	Wrapper_t) (Double_t , Double_t )

Public Attributes inherited from GraphSysErr::Combiner
TClonesArray	fData

Result *	fResult

Detailed Description

A combiner that uses a linear \(\sigma\) approximation

Definition at line 5417 of file GraphSysErr.C.

Member Function Documentation

static Double_t GraphSysErr::LinearSigmaCombiner::L	(	Double_t	guess,
		Double_t	x,
		Double_t	el,
		Double_t	eh
	)

inlinestatic

Return the likely-hood function value at \( x'\):

\[ L(x') = \left[(x'-x) / (s + s'(x'-x))\right]^2 \]

where

\[ s = 2\sigma^+\sigma^-/(\sigma^++\sigma^-) \]

\[ s' = (\sigma^+-\sigma^-)/(\sigma^++\sigma^-) \]

Parameters

guess	\( x'\)
x	\( x\)
el	\( \sigma^-\)
eh	\( \sigma^+\)

Returns

Definition at line 5505 of file GraphSysErr.C.

Double_t GraphSysErr::LinearSigmaCombiner::StepOffset	(	Double_t	,
		const Observation &
	)		const

inlinevirtual

Calculate the bias.

Returns: 0

Implements GraphSysErr::Combiner.

Definition at line 5462 of file GraphSysErr.C.

Double_t GraphSysErr::LinearSigmaCombiner::StepW	(	Double_t	guess,
		const Observation &	r
	)		const

inlinevirtual

Calculate the weight based on a guess of best \( x'\)

\[ w(x') = s / [s + s' (x' - x)]^3 \]

Parameters

guess	Current guess \( x'\)
r	Observation

Returns: \( W(x')\)

Implements GraphSysErr::Combiner.

Definition at line 5450 of file GraphSysErr.C.

Double_t GraphSysErr::LinearSigmaCombiner::VarTerm	(	Double_t	guess,
		const Observation &	r
	)		const

inlinevirtual

Calculate the contribution variance to the \(\chi^2\) with the guess \(x'\).

\[ v(x') = [s + s' (x' - x)]^2 \]

Parameters

guess	Current guess \( x'\)
r	Observation

Returns: \( v(x')\)

Implements GraphSysErr::Combiner.

Definition at line 5479 of file GraphSysErr.C.

Double_t GraphSysErr::LinearSigmaCombiner::W ( const Observation & r ) const

inlinevirtual

Calculate the weight

\[ w = 1/2 (s + x s')^3 / s \]

Parameters

r	Observation

Returns: \( W\)

Implements GraphSysErr::Combiner.

Definition at line 5430 of file GraphSysErr.C.

static Double_t GraphSysErr::LinearSigmaCombiner::WrapL	(	Double_t *	xp,
		Double_t *	pp
	)

inlinestatic

Wrap likely-hood function for ROOT

Parameters

xp	Pointer to independent variables
pp	Pointer to parameters

Returns: Likely-hood function evaluate at xp

Definition at line 5523 of file GraphSysErr.C.

Wrapper_t GraphSysErr::LinearSigmaCombiner::Wrapper ( ) const

inlinevirtual

Return function pointer to wrapper

Returns: Function pointer

Implements GraphSysErr::Combiner.

Definition at line 5532 of file GraphSysErr.C.

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

PWGLF/FORWARD/analysis2/gse/GraphSysErr.C

Public Member Functions

Static Public Member Functions

Additional Inherited Members

Detailed Description

Member Function Documentation