Raw data fitting: Neural network. More...

#include <AliCaloRawAnalyzerNN.h>

Inheritance diagram for AliCaloRawAnalyzerNN:

Public Member Functions
virtual	~AliCaloRawAnalyzerNN ()
	Destructor. More...

virtual AliCaloFitResults	Evaluate (const std::vector< AliCaloBunchInfo > &bunchvector, UInt_t altrocfg1, UInt_t altrocfg2)
	The evaluation of Peak position and amplitude using the Neural Network. More...

Public Member Functions inherited from AliCaloRawAnalyzer
	AliCaloRawAnalyzer (const char name="AliCaloRawAnalyzer", const char nameshort="RawAna")
	Constructor. More...

virtual	~AliCaloRawAnalyzer ()

int	PreFitEvaluateSamples (const std::vector< AliCaloBunchInfo > &bunchvector, UInt_t altrocfg1, UInt_t altrocfg2, Int_t &index, Float_t &maxf, short &maxamp, short &maxampindex, Float_t &ped, int &first, int &last, int acut)
	Method to do the selection of what should possibly be fitted. More...

void	SetTimeConstraint (int min, int max)
	Require that the bin if the maximum ADC value is between min and max (timebin) More...

void	SetVerbose (bool verbose=true)

void	SetIsZeroSuppressed (bool iszs=true)

void	SetAmpCut (Float_t cut)

void	SetFitArrayCut (Int_t cut)

void	SetNsampleCut (Int_t cut)

void	SetOverflowCut (Int_t cut)

void	SetNsamplePed (Int_t i)

void	SetL1Phase (Double_t phase)

bool	GetIsZeroSuppressed () const

Float_t	GetAmpCut () const

Int_t	GetFitArrayCut () const

Int_t	GetNsampleCut () const

Int_t	GetOverflowCut () const

Int_t	GetNsamplePed () const

Double_t	GetReversed (const int i) const

const char *	GetAlgoName () const

const char *	GetAlgoAbbr () const

Algo::fitAlgorithm	GetAlgo () const

Float_t	GetTau () const

void	SetTau (Float_t tau)

Bool_t	GetFixTau () const

void	SetFixTau (Bool_t b)

Double_t	CalculateChi2 (const Double_t amp, const Double_t time, const Int_t first, const Int_t last, const Double_t adcErr=1, const Double_t tau=2.35) const

void	CalculateMeanAndRMS (const Int_t first, const Int_t last, Double_t &mean, Double_t &rms)

short	Max (const AliCaloBunchInfo const bunch, int maxindex) const
	Get maximum in bunch array. More...

UShort_t	Max (const UShort_t *data, const int length) const
	Get maximum of array. More...

bool	CheckBunchEdgesForMax (const AliCaloBunchInfo *const bunch) const
	A bunch is considered invalid if the maximum is in the first or last time-bin. More...

bool	IsInTimeRange (const int maxindex, const int maxtime, const int mintime) const
	Check if the index of the max ADC vaue is consistent with trigger. More...

Float_t	ReverseAndSubtractPed (const AliCaloBunchInfo bunch, UInt_t altrocfg1, UInt_t altrocfg2, double outarray) const

int	SelectBunch (const std::vector< AliCaloBunchInfo > &bunchvector, short maxampbin, short maxamplitude)
	We select the bunch with the highest amplitude unless any time constraints is set. More...

void	SelectSubarray (const Double_t date, int length, short maxindex, int first, int *last, int cut) const

Float_t	EvaluatePedestal (const UShort_t *const data, const int length) const
	Pedestal evaluation if not zero suppressed. More...

Private Member Functions
	AliCaloRawAnalyzerNN ()
	Constructor. More...

	AliCaloRawAnalyzerNN (const AliCaloRawAnalyzerNN &)

AliCaloRawAnalyzerNN &	operator= (const AliCaloRawAnalyzerNN &)

Private Attributes
AliCaloNeuralFit *	fNeuralNet
	Pointer to the class whick actually implements the Neural Network for EMCAL. More...

Double_t	fNNInput [5]
	The 5 input Neurons to the network ( mix bin + to samples on each side ) More...

Friends
class	AliCaloRawAnalyzerFactory

Additional Inherited Members
Static Public Member Functions inherited from AliCaloRawAnalyzer
static void	PrintBunches (const std::vector< AliCaloBunchInfo > &bunchvector)
	Print bunch vector infomation. More...

static void	PrintBunch (const AliCaloBunchInfo &bunch)
	Print bunch information. More...

Protected Attributes inherited from AliCaloRawAnalyzer
Double_t	fReversed [ALTROMAXSAMPLES]
	Reversed sequence of samples (pedestalsubtracted) More...

int	fMinTimeIndex
	The timebin of the max signal value must be between fMinTimeIndex and fMaxTimeIndex. More...

int	fMaxTimeIndex
	The timebin of the max signal value must be between fMinTimeIndex and fMaxTimeIndex. More...

int	fFitArrayCut
	Cut on ADC value (after ped. subtraction) for signals used for fit. More...

Float_t	fAmpCut
	Max ADC - pedestal must be higher than this befor attemting to extract the amplitude. More...

int	fNsampleCut
	Minimum number of sample require before attemting to extract signal parameters. More...

int	fOverflowCut
	Value when ADC starts to saturate. More...

int	fNsamplePed
	Number of samples used for pedestal calculation (first in bunch) More...

bool	fIsZerosupressed
	Wether or not the data is zeros supressed, by default its assumed that the baseline is also subtracted if set to true. More...

bool	fVerbose
	Print debug information to std out if set to true. More...

char	fName [256]
	Name of the algorithm. More...

char	fNameShort [256]
	Abbrevation for the name. More...

Algo::fitAlgorithm	fAlgo
	Which algorithm to use. More...

Double_t	fL1Phase
	Phase of the ADC sampling clock relative to the LHC clock. More...

Double_t	fAmp
	The amplitude in entities of ADC counts. More...

Double_t	fTof
	The amplitude in entities of ADC counts. More...

Float_t	fTau
	Rise time of the signal (peak position = t0 +tau), by defauly it is 235 ns. More...

Bool_t	fFixTau
	Fixed fit parameter or not, used in AliCaloRawAnalyzerFitter. More...

Detailed Description

Raw data fitting: Neural network.

Evaluation of peak position and amplitude using Neural Networks (NN)

Author: Paola La Rocca (Catania)

Definition at line 24 of file AliCaloRawAnalyzerNN.h.

Constructor & Destructor Documentation

AliCaloRawAnalyzerNN::~AliCaloRawAnalyzerNN ( )

virtual

Destructor.

Definition at line 54 of file AliCaloRawAnalyzerNN.cxx.

AliCaloRawAnalyzerNN::AliCaloRawAnalyzerNN ( )

private

Constructor.

Definition at line 38 of file AliCaloRawAnalyzerNN.cxx.

AliCaloRawAnalyzerNN::AliCaloRawAnalyzerNN ( const AliCaloRawAnalyzerNN & )

private

Member Function Documentation

AliCaloFitResults AliCaloRawAnalyzerNN::Evaluate	(	const std::vector< AliCaloBunchInfo > &	bunchvector,
		UInt_t	altrocfg1,
		UInt_t	altrocfg2
	)

virtual

The evaluation of Peak position and amplitude using the Neural Network.

Implements AliCaloRawAnalyzer.

Definition at line 64 of file AliCaloRawAnalyzerNN.cxx.

AliCaloRawAnalyzerNN& AliCaloRawAnalyzerNN::operator= ( const AliCaloRawAnalyzerNN & )

private

Friends And Related Function Documentation

friend class AliCaloRawAnalyzerFactory

friend

Definition at line 26 of file AliCaloRawAnalyzerNN.h.

Member Data Documentation

AliCaloNeuralFit* AliCaloRawAnalyzerNN::fNeuralNet

private

Pointer to the class whick actually implements the Neural Network for EMCAL.

Definition at line 40 of file AliCaloRawAnalyzerNN.h.

Referenced by AliCaloRawAnalyzerNN(), Evaluate(), and ~AliCaloRawAnalyzerNN().

Double_t AliCaloRawAnalyzerNN::fNNInput[5]

private

The 5 input Neurons to the network ( mix bin + to samples on each side )

Definition at line 41 of file AliCaloRawAnalyzerNN.h.

Referenced by AliCaloRawAnalyzerNN(), and Evaluate().

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

EMCAL/EMCALraw/AliCaloRawAnalyzerNN.h
EMCAL/EMCALraw/AliCaloRawAnalyzerNN.cxx

Public Member Functions

Private Member Functions

Private Attributes

Friends

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

Member Function Documentation

Friends And Related Function Documentation

Member Data Documentation