Inheritance diagram for LinearVarianceCombiner:

Public Member Functions
double	W (const Result &r) const

double	StepW (double guess, const Result &r) const

double	StepOffset (double guess, const Result &r) const

double	TermVar (double guess, const Result &r) const

Public Member Functions inherited from Combiner
virtual	~Combiner ()

double	Term (double guess, const Result &r) const

double	F (double guess, double chi2, const_iterator &begin, const_iterator &end) const

double	FindError (unsigned short nIter, const_iterator &begin, const_iterator &end, int sign, double best, double chi2, double s)

double	FindX (unsigned short nIter, const_iterator &begin, const_iterator &end, double lowest, double highest)

Final	Calculate (const_iterator &begin, const_iterator &end, unsigned short nIter=50)

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

static double	WrapL (double xp, double pp)

Additional Inherited Members
Public Types inherited from Combiner
typedef List::iterator	iterator

typedef List::const_iterator	const_iterator

Detailed Description

A combiner that uses a linear variance approximation

Definition at line 572 of file Combiner.C.

Member Function Documentation

static double LinearVarianceCombiner::L	(	double	guess,
		double	x,
		double	el,
		double	eh
	)

inlinestatic

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

\[ L(x') = (x'-x)^2 / (V + V'(x'-x)) \]

where

\[ v = \sigma^\sigma^- \]

\[ v' = \sigma^+-\sigma^- \]

Parameters

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

Returns

Definition at line 664 of file Combiner.C.

Referenced by WrapL().

double LinearVarianceCombiner::StepOffset	(	double	guess,
		const Result &	r
	)		const

inlinevirtual

Calculate the bias.

\[ \delta(x') = 1/2 V' [(x'-x) / (V + V'(x' - x))]^2 \]

Parameters

guess	Current guess \( x'\)
r	Observation

Returns: \(\delta(x')\)

Implements Combiner.

Definition at line 620 of file Combiner.C.

double LinearVarianceCombiner::StepW	(	double	guess,
		const Result &	r
	)		const

inlinevirtual

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

\[ W(x') = v / [V + V' (x' - x)]^2 \]

Parameters

guess	Current guess \( x'\)
r	Observation

Returns: \( W(x')\)

Implements Combiner.

Definition at line 603 of file Combiner.C.

double LinearVarianceCombiner::TermVar	(	double	guess,
		const Result &	r
	)		const

inlinevirtual

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

\[ V(x') = V + V' (x' - x) \]

Parameters

guess	Current guess \( x'\)
r	Observation

Returns: \( v(x')\)

Implements Combiner.

Definition at line 638 of file Combiner.C.

double LinearVarianceCombiner::W ( const Result & r ) const

inlinevirtual

Calculate the weight

\[ w = (V + x V')^2 / (2 V + x V') \]

Parameters

r	Observation

Returns: \( W\)

Implements Combiner.

Definition at line 585 of file Combiner.C.

static double LinearVarianceCombiner::WrapL	(	double *	xp,
		double *	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 679 of file Combiner.C.

Referenced by DrawResult::MakeF().

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

PWGLF/FORWARD/analysis2/dndeta/Combiner.C

Public Member Functions

Static Public Member Functions

Additional Inherited Members

Detailed Description

Member Function Documentation