TSpectrum
class description - source file - inheritance tree
public:
TSpectrum TSpectrum()
TSpectrum TSpectrum(Int_t maxpositions)
TSpectrum TSpectrum(TSpectrum&)
virtual void ~TSpectrum()
virtual char* Background(TH1* hist, int niter, Option_t* option = goff)
virtual char* Background1(float* spectrum, int size, int niter)
virtual char* Background2(float** spectrum, int sizex, int sizey, int niter)
TClass* Class()
virtual char* Deconvolution1(float* source, float* resp, int size, int niter)
virtual char* Deconvolution2(float** source, float** resp, int sizex, int sizey, int niter)
virtual TH1* GetHistogram()
virtual Int_t GetNPeaks()
virtual Float_t* GetPositionX()
virtual Float_t* GetPositionY()
virtual TClass* IsA() const
virtual int PeakEvaluate(double* temp, int size, int xmax, double xmin)
virtual Int_t Search(TH1* hist, Double_t sigma, Option_t* option = goff)
virtual Int_t Search1(float* spectrum, int size, double sigma)
virtual Int_t Search2(float** source, int sizex, int sizey, double sigma)
virtual void ShowMembers(TMemberInspector& insp, char* parent)
virtual void Streamer(TBuffer& b)
protected:
Int_t fNPeaks number of peaks found
Float_t* fPosition !array of current peak positions
Float_t* fPositionX !X position of peaks
Float_t* fPositionY !Y position of peaks
TH1* fHistogram resulting histogram
THIS CLASS CONTAINS ADVANCED SPECTRA PROCESSING FUNCTIONS.
ONE-DIMENSIONAL BACKGROUND ESTIMATION FUNCTION
TWO-DIMENSIONAL BACKGROUND ESTIMATION FUNCTION
ONE-DIMENSIONAL DECONVOLUTION FUNCTION
TWO-DIMENSIONAL DECONVOLUTION FUNCTION
ONE-DIMENSIONAL PEAK SEARCH FUNCTION
TWO-DIMENSIONAL PEAK SEARCH FUNCTION
These functions were written by:
Miroslav Morhac
Institute of Physics
Slovak Academy of Sciences
Dubravska cesta 9, 842 28 BRATISLAVA
SLOVAKIA
email:fyzimiro@savba.sk, fax:+421 7 54772479
The original code in C has been repackaged as a C++ class by R.Brun //
The algorithms in this class have been published at the following
references:
[1] M.Morhac et al.: Background elimination methods for
multidimensional coincidence gamma-ray spectra. Nuclear
Instruments and Methods in Physics Research A 401 (1997) 113-
132.
[2] M.Morhac et al.: Efficient one- and two-dimensional Gold
deconvolution and its application to gamma-ray spectra
decomposition. Nuclear Instruments and Methods in Physics
Research A 401 (1997) 385-408.
[3] M.Morhac et al.: Identification of peaks in multidimensional
coincidence gamma-ray spectra. Submitted for publication in
Nuclear Instruments and Methods in Physics Research A.
These NIM papers are also available as Postscript files from:
/*
ftp://root.cern.ch/root/SpectrumDec.ps.gz
ftp://root.cern.ch/root/SpectrumSrc.ps.gz
ftp://root.cern.ch/root/SpectrumBck.ps.gz
*/
TSpectrum()
:TNamed("Spectrum","Miroslav Morhac peak finder")
TSpectrum(Int_t maxpositions)
:TNamed("Spectrum","Miroslav Morhac peak finder")
~TSpectrum()
char* Background(TH1 *h,int number_of_iterations, Option_t *option)
ONE-DIMENSIONAL BACKGROUND ESTIMATION FUNCTION
This function calculates background spectrum from source in h.
The result is placed in the vector pointed by spectrum pointer.
Function parameters:
spectrum: pointer to the vector of source spectrum
size: length of spectrum and working space vectors
number_of_iterations, for details we refer to manual
char* Background1(float *spectrum,int size,int number_of_iterations)
ONE-DIMENSIONAL BACKGROUND ESTIMATION FUNCTION
This function calculates background spectrum from source spectrum.
The result is placed in the vector pointed by spectrum pointer.
Function parameters:
spectrum: pointer to the vector of source spectrum
size: length of spectrum and working space vectors
number_of_iterations, for details we refer to manual
char* Background2(float **spectrum,int sizex,int sizey,int number_of_iterations)
TWO-DIMENSIONAL BACKGROUND ESTIMATION FUNCTION
This function calculates background spectrum from source spectrum.
The result is placed to the array pointed by spectrum pointer.
Function parameters:
spectrum: pointer to the array of source spectrum
sizex: x length of spectrum and working space arrays
sizey: y length of spectrum and working space arrays
number_of_iterations, for details we refer to manual
char* Deconvolution1(float *source,float *resp,int size,int number_of_iterations)
ONE-DIMENSIONAL DECONVOLUTION FUNCTION
This function calculates deconvolution from source spectrum
according to response spectrum
The result is placed in the vector pointed by source pointer.
Function parameters:
source: pointer to the vector of source spectrum
res: pointer to the vector of response spectrum
size: length of source and response spectra
number_of_iterations, for details we refer to manual
char* Deconvolution2(float** source,float** resp,int sizex,int sizey,int number_of_iterations)
TWO-DIMENSIONAL DECONVOLUTION FUNCTION
This function calculates deconvolution from source spectrum
according to response spectrum
The result is placed in the matrix pointed by source pointer.
Function parameters:
source: pointer to the matrix of source spectrum
resp: pointer to the matrix of response spectrum
sizex: x length of source and response spectra
sizey: y length of source and response spectra
number_of_iterations, for details we refer to manual
Int_t Search(TH1 *hin, Double_t sigma, Option_t *option)
ONE-DIMENSIONAL PEAK SEARCH FUNCTION
This function searches for peaks in source spectrum in hin
The number of found peaks and their positions are written into
the members fNpeaks and fPositionX.
Function parameters:
hin: pointer to the histogram of source spectrum
sigma: sigma of searched peaks, for details we refer to manual
Int_t Search1(float *spectrum,int size,double sigma)
ONE-DIMENSIONAL PEAK SEARCH FUNCTION
This function searches for peaks in source spectrum
The number of found peaks and their positions are written into
the members fNpeaks and fPositionX.
Function parameters:
source: pointer to the vector of source spectrum
size: length of source spectrum
sigma: sigma of searched peaks, for details we refer to manual
Int_t PeakEvaluate(double *temp,int size,int xmax,double xmin)
Int_t Search2(float **source,int sizex,int sizey,double sigma)
TWO-DIMENSIONAL PEAK SEARCH FUNCTION
This function searches for peaks in source spectrum
The number of found peaks and their positions are written into
the members fNPeaks, fPositionX and fPositionY.
Function parameters:
source: pointer to the vector of source spectrum
sizex: x length of source spectrum
sizey: y length of source spectrum
sigma: sigma of searched peaks, for details we refer to manual
Inline Functions
TH1* GetHistogram()
Int_t GetNPeaks()
Float_t* GetPositionX()
Float_t* GetPositionY()
TClass* Class()
TClass* IsA() const
void ShowMembers(TMemberInspector& insp, char* parent)
void Streamer(TBuffer& b)
TSpectrum TSpectrum(TSpectrum&)
Author: Miroslav Morhac 27/05/99
Last update: 2.22/05 11/06/99 09.45.14 by Rene Brun
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