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TSpectrumTransform Class Reference

Advanced 1-dimensional orthogonal transform functions.

Author
Miroslav Morhac

Legacy Code

TSpectrumTransform is a legacy interface: there will be no bug fixes nor new developments. Therefore it is not recommended to use it in new long-term production code. But, depending on the context, using TSpectrumTransform might still be a valid solution. For modeling a spectrum fitting and estimating the background one can use RooFit while for deconvolution and unfolding one can use TUnfold.

Class to carry out transforms of 1D spectra, its filtering and enhancement. It allows to calculate classic Fourier, Cosine, Sin, Hartley, Walsh, Haar transforms as well as mixed transforms (Fourier- Walsh, Fourier-Haar, Walsh-Haar, Cosine-Walsh, Cosine-Haar, Sin-Walsh and Sin-Haar). All the transforms are fast.

The algorithms in this class have been published in the following references:

  1. C.V. Hampton, B. Lian, Wm. C. McHarris: Fast-Fourier-transform spectral enhancement techniques for gamma-ray spectroscopy.NIM A353(1994) 280-284.
  2. Morhac M., Matousek V., New adaptive Cosine-Walsh transform and its application to nuclear data compression, IEEE Transactions on Signal Processing 48 (2000) 2693.
  3. Morhac M., Matousek V., Data compression using new fast adaptive Cosine-Haar transforms, Digital Signal Processing 8 (1998) 63.
  4. Morhac M., Matousek V.: Multidimensional nuclear data compression using fast adaptive Walsh-Haar transform. Acta Physica Slovaca 51 (2001) 307.

Definition at line 18 of file TSpectrumTransform.h.

Public Types

enum  {
  kTransformHaar =0 , kTransformWalsh =1 , kTransformCos =2 , kTransformSin =3 ,
  kTransformFourier =4 , kTransformHartley =5 , kTransformFourierWalsh =6 , kTransformFourierHaar =7 ,
  kTransformWalshHaar =8 , kTransformCosWalsh =9 , kTransformCosHaar =10 , kTransformSinWalsh =11 ,
  kTransformSinHaar =12 , kTransformForward =0 , kTransformInverse =1
}
 
- Public Types inherited from TObject
enum  {
  kIsOnHeap = 0x01000000 , kNotDeleted = 0x02000000 , kZombie = 0x04000000 , kInconsistent = 0x08000000 ,
  kBitMask = 0x00ffffff
}
 
enum  { kSingleKey = (1ULL << ( 0 )) , kOverwrite = (1ULL << ( 1 )) , kWriteDelete = (1ULL << ( 2 )) }
 
enum  EDeprecatedStatusBits { kObjInCanvas = (1ULL << ( 3 )) }
 
enum  EStatusBits {
  kCanDelete = (1ULL << ( 0 )) , kMustCleanup = (1ULL << ( 3 )) , kIsReferenced = (1ULL << ( 4 )) , kHasUUID = (1ULL << ( 5 )) ,
  kCannotPick = (1ULL << ( 6 )) , kNoContextMenu = (1ULL << ( 8 )) , kInvalidObject = (1ULL << ( 13 ))
}
 

Public Member Functions

 TSpectrumTransform ()
 default constructor
 
 TSpectrumTransform (Int_t size)
 the constructor creates TSpectrumTransform object.
 
 ~TSpectrumTransform () override
 Destructor.
 
void Enhance (const Double_t *source, Double_t *destVector)
 This function transforms the source spectrum.
 
void FilterZonal (const Double_t *source, Double_t *destVector)
 This function transforms the source spectrum.
 
TClassIsA () const override
 
void SetDirection (Int_t direction)
 This function sets the direction of the transform:
 
void SetEnhanceCoeff (Double_t enhanceCoeff)
 This function sets the enhancement coefficient:
 
void SetFilterCoeff (Double_t filterCoeff)
 This function sets the filter coefficient:
 
void SetRegion (Int_t xmin, Int_t xmax)
 This function sets the filtering or enhancement region:
 
void SetTransformType (Int_t transType, Int_t degree)
 This function sets the following parameters for transform:
 
void Streamer (TBuffer &) override
 Stream an object of class TObject.
 
void StreamerNVirtual (TBuffer &ClassDef_StreamerNVirtual_b)
 
void Transform (const Double_t *source, Double_t *destVector)
 This function transforms the source spectrum.
 
- Public Member Functions inherited from TNamed
 TNamed ()
 
 TNamed (const char *name, const char *title)
 
 TNamed (const TNamed &named)
 TNamed copy ctor.
 
 TNamed (const TString &name, const TString &title)
 
virtual ~TNamed ()
 TNamed destructor.
 
void Clear (Option_t *option="") override
 Set name and title to empty strings ("").
 
TObjectClone (const char *newname="") const override
 Make a clone of an object using the Streamer facility.
 
Int_t Compare (const TObject *obj) const override
 Compare two TNamed objects.
 
void Copy (TObject &named) const override
 Copy this to obj.
 
virtual void FillBuffer (char *&buffer)
 Encode TNamed into output buffer.
 
const char * GetName () const override
 Returns name of object.
 
const char * GetTitle () const override
 Returns title of object.
 
ULong_t Hash () const override
 Return hash value for this object.
 
Bool_t IsSortable () const override
 
void ls (Option_t *option="") const override
 List TNamed name and title.
 
TNamedoperator= (const TNamed &rhs)
 TNamed assignment operator.
 
void Print (Option_t *option="") const override
 Print TNamed name and title.
 
virtual void SetName (const char *name)
 Set the name of the TNamed.
 
virtual void SetNameTitle (const char *name, const char *title)
 Set all the TNamed parameters (name and title).
 
virtual void SetTitle (const char *title="")
 Set the title of the TNamed.
 
virtual Int_t Sizeof () const
 Return size of the TNamed part of the TObject.
 
void StreamerNVirtual (TBuffer &ClassDef_StreamerNVirtual_b)
 
- Public Member Functions inherited from TObject
 TObject ()
 TObject constructor.
 
 TObject (const TObject &object)
 TObject copy ctor.
 
virtual ~TObject ()
 TObject destructor.
 
void AbstractMethod (const char *method) const
 Use this method to implement an "abstract" method that you don't want to leave purely abstract.
 
virtual void AppendPad (Option_t *option="")
 Append graphics object to current pad.
 
virtual void Browse (TBrowser *b)
 Browse object. May be overridden for another default action.
 
ULong_t CheckedHash ()
 Check and record whether this class has a consistent Hash/RecursiveRemove setup (*) and then return the regular Hash value for this object.
 
virtual const char * ClassName () const
 Returns name of class to which the object belongs.
 
virtual void Delete (Option_t *option="")
 Delete this object.
 
virtual Int_t DistancetoPrimitive (Int_t px, Int_t py)
 Computes distance from point (px,py) to the object.
 
virtual void Draw (Option_t *option="")
 Default Draw method for all objects.
 
virtual void DrawClass () const
 Draw class inheritance tree of the class to which this object belongs.
 
virtual TObjectDrawClone (Option_t *option="") const
 Draw a clone of this object in the current selected pad with: gROOT->SetSelectedPad(c1).
 
virtual void Dump () const
 Dump contents of object on stdout.
 
virtual void Error (const char *method, const char *msgfmt,...) const
 Issue error message.
 
virtual void Execute (const char *method, const char *params, Int_t *error=nullptr)
 Execute method on this object with the given parameter string, e.g.
 
virtual void Execute (TMethod *method, TObjArray *params, Int_t *error=nullptr)
 Execute method on this object with parameters stored in the TObjArray.
 
virtual void ExecuteEvent (Int_t event, Int_t px, Int_t py)
 Execute action corresponding to an event at (px,py).
 
virtual void Fatal (const char *method, const char *msgfmt,...) const
 Issue fatal error message.
 
virtual TObjectFindObject (const char *name) const
 Must be redefined in derived classes.
 
virtual TObjectFindObject (const TObject *obj) const
 Must be redefined in derived classes.
 
virtual Option_tGetDrawOption () const
 Get option used by the graphics system to draw this object.
 
virtual const char * GetIconName () const
 Returns mime type name of object.
 
virtual char * GetObjectInfo (Int_t px, Int_t py) const
 Returns string containing info about the object at position (px,py).
 
virtual Option_tGetOption () const
 
virtual UInt_t GetUniqueID () const
 Return the unique object id.
 
virtual Bool_t HandleTimer (TTimer *timer)
 Execute action in response of a timer timing out.
 
Bool_t HasInconsistentHash () const
 Return true is the type of this object is known to have an inconsistent setup for Hash and RecursiveRemove (i.e.
 
virtual void Info (const char *method, const char *msgfmt,...) const
 Issue info message.
 
virtual Bool_t InheritsFrom (const char *classname) const
 Returns kTRUE if object inherits from class "classname".
 
virtual Bool_t InheritsFrom (const TClass *cl) const
 Returns kTRUE if object inherits from TClass cl.
 
virtual void Inspect () const
 Dump contents of this object in a graphics canvas.
 
void InvertBit (UInt_t f)
 
Bool_t IsDestructed () const
 IsDestructed.
 
virtual Bool_t IsEqual (const TObject *obj) const
 Default equal comparison (objects are equal if they have the same address in memory).
 
virtual Bool_t IsFolder () const
 Returns kTRUE in case object contains browsable objects (like containers or lists of other objects).
 
R__ALWAYS_INLINE Bool_t IsOnHeap () const
 
R__ALWAYS_INLINE Bool_t IsZombie () const
 
void MayNotUse (const char *method) const
 Use this method to signal that a method (defined in a base class) may not be called in a derived class (in principle against good design since a child class should not provide less functionality than its parent, however, sometimes it is necessary).
 
virtual Bool_t Notify ()
 This method must be overridden to handle object notification (the base implementation is no-op).
 
void Obsolete (const char *method, const char *asOfVers, const char *removedFromVers) const
 Use this method to declare a method obsolete.
 
void operator delete (void *ptr)
 Operator delete.
 
void operator delete (void *ptr, void *vp)
 Only called by placement new when throwing an exception.
 
void operator delete[] (void *ptr)
 Operator delete [].
 
void operator delete[] (void *ptr, void *vp)
 Only called by placement new[] when throwing an exception.
 
void * operator new (size_t sz)
 
void * operator new (size_t sz, void *vp)
 
void * operator new[] (size_t sz)
 
void * operator new[] (size_t sz, void *vp)
 
TObjectoperator= (const TObject &rhs)
 TObject assignment operator.
 
virtual void Paint (Option_t *option="")
 This method must be overridden if a class wants to paint itself.
 
virtual void Pop ()
 Pop on object drawn in a pad to the top of the display list.
 
virtual Int_t Read (const char *name)
 Read contents of object with specified name from the current directory.
 
virtual void RecursiveRemove (TObject *obj)
 Recursively remove this object from a list.
 
void ResetBit (UInt_t f)
 
virtual void SaveAs (const char *filename="", Option_t *option="") const
 Save this object in the file specified by filename.
 
virtual void SavePrimitive (std::ostream &out, Option_t *option="")
 Save a primitive as a C++ statement(s) on output stream "out".
 
void SetBit (UInt_t f)
 
void SetBit (UInt_t f, Bool_t set)
 Set or unset the user status bits as specified in f.
 
virtual void SetDrawOption (Option_t *option="")
 Set drawing option for object.
 
virtual void SetUniqueID (UInt_t uid)
 Set the unique object id.
 
void StreamerNVirtual (TBuffer &ClassDef_StreamerNVirtual_b)
 
virtual void SysError (const char *method, const char *msgfmt,...) const
 Issue system error message.
 
R__ALWAYS_INLINE Bool_t TestBit (UInt_t f) const
 
Int_t TestBits (UInt_t f) const
 
virtual void UseCurrentStyle ()
 Set current style settings in this object This function is called when either TCanvas::UseCurrentStyle or TROOT::ForceStyle have been invoked.
 
virtual void Warning (const char *method, const char *msgfmt,...) const
 Issue warning message.
 
virtual Int_t Write (const char *name=nullptr, Int_t option=0, Int_t bufsize=0)
 Write this object to the current directory.
 
virtual Int_t Write (const char *name=nullptr, Int_t option=0, Int_t bufsize=0) const
 Write this object to the current directory.
 

Static Public Member Functions

static TClassClass ()
 
static const char * Class_Name ()
 
static constexpr Version_t Class_Version ()
 
static const char * DeclFileName ()
 
- Static Public Member Functions inherited from TNamed
static TClassClass ()
 
static const char * Class_Name ()
 
static constexpr Version_t Class_Version ()
 
static const char * DeclFileName ()
 
- Static Public Member Functions inherited from TObject
static TClassClass ()
 
static const char * Class_Name ()
 
static constexpr Version_t Class_Version ()
 
static const char * DeclFileName ()
 
static Longptr_t GetDtorOnly ()
 Return destructor only flag.
 
static Bool_t GetObjectStat ()
 Get status of object stat flag.
 
static void SetDtorOnly (void *obj)
 Set destructor only flag.
 
static void SetObjectStat (Bool_t stat)
 Turn on/off tracking of objects in the TObjectTable.
 

Protected Member Functions

void BitReverse (Double_t *working_space, Int_t num)
 This function carries out bit-reverse reordering of data Function parameters:
 
void BitReverseHaar (Double_t *working_space, Int_t shift, Int_t num, Int_t start)
 This function carries out bit-reverse reordering for Haar transform Function parameters:
 
void Fourier (Double_t *working_space, Int_t num, Int_t hartley, Int_t direction, Int_t zt_clear)
 This function calculates Fourier based transform of a part of data Function parameters:
 
Int_t GeneralExe (Double_t *working_space, Int_t zt_clear, Int_t num, Int_t degree, Int_t type)
 This function calculates generalized (mixed) transforms of different degrees Function parameters:
 
Int_t GeneralInv (Double_t *working_space, Int_t num, Int_t degree, Int_t type)
 This function calculates inverse generalized (mixed) transforms Function parameters:
 
void Haar (Double_t *working_space, Int_t num, Int_t direction)
 This function calculates Haar transform of a part of data Function parameters:
 
void Walsh (Double_t *working_space, Int_t num)
 This function calculates Walsh transform of a part of data Function parameters:
 
- Protected Member Functions inherited from TObject
virtual void DoError (int level, const char *location, const char *fmt, va_list va) const
 Interface to ErrorHandler (protected).
 
void MakeZombie ()
 

Protected Attributes

Int_t fDegree
 degree of mixed transform, applies only for Fourier-Walsh, Fourier-Haar, Walsh-Haar, Cosine-Walsh, Cosine-Haar, Sine-Walsh, Sine-Haar transforms
 
Int_t fDirection
 forward or inverse transform
 
Double_t fEnhanceCoeff
 multiplication coefficient applied in enhanced region;
 
Double_t fFilterCoeff
 value set in the filtered region
 
Int_t fSize
 length of transformed data
 
Int_t fTransformType
 type of transformation (Haar, Walsh, Cosine, Sine, Fourier, Hartley, Fourier-Walsh, Fourier-Haar, Walsh-Haar, Cosine-Walsh, Cosine-Haar, Sine-Walsh, Sine-Haar)
 
Int_t fXmax
 last channel of filtered or enhanced region
 
Int_t fXmin
 first channel of filtered or enhanced region
 
- Protected Attributes inherited from TNamed
TString fName
 
TString fTitle
 

Additional Inherited Members

- Protected Types inherited from TObject
enum  { kOnlyPrepStep = (1ULL << ( 3 )) }
 

#include <TSpectrumTransform.h>

Inheritance diagram for TSpectrumTransform:
[legend]

Member Enumeration Documentation

◆ anonymous enum

anonymous enum
Enumerator
kTransformHaar 
kTransformWalsh 
kTransformCos 
kTransformSin 
kTransformFourier 
kTransformHartley 
kTransformFourierWalsh 
kTransformFourierHaar 
kTransformWalshHaar 
kTransformCosWalsh 
kTransformCosHaar 
kTransformSinWalsh 
kTransformSinHaar 
kTransformForward 
kTransformInverse 

Definition at line 31 of file TSpectrumTransform.h.

Constructor & Destructor Documentation

◆ TSpectrumTransform() [1/2]

TSpectrumTransform::TSpectrumTransform ( )

default constructor

Definition at line 40 of file TSpectrumTransform.cxx.

◆ TSpectrumTransform() [2/2]

TSpectrumTransform::TSpectrumTransform ( Int_t  size)

the constructor creates TSpectrumTransform object.

Its size must be > than zero and must be power of 2. It sets default transform type to be Cosine transform. Transform parameters can be changed using setter functions.

Definition at line 56 of file TSpectrumTransform.cxx.

◆ ~TSpectrumTransform()

TSpectrumTransform::~TSpectrumTransform ( )
override

Destructor.

Definition at line 85 of file TSpectrumTransform.cxx.

Member Function Documentation

◆ BitReverse()

void TSpectrumTransform::BitReverse ( Double_t working_space,
Int_t  num 
)
protected

This function carries out bit-reverse reordering of data Function parameters:

  • working_space-pointer to vector of processed data
  • num-length of processed data

Definition at line 227 of file TSpectrumTransform.cxx.

◆ BitReverseHaar()

void TSpectrumTransform::BitReverseHaar ( Double_t working_space,
Int_t  shift,
Int_t  num,
Int_t  start 
)
protected

This function carries out bit-reverse reordering for Haar transform Function parameters:

  • working_space-pointer to vector of processed data
  • shift-shift of position of processing
  • start-initial position of processed data
  • num-length of processed data

Definition at line 386 of file TSpectrumTransform.cxx.

◆ Class()

static TClass * TSpectrumTransform::Class ( )
static
Returns
TClass describing this class

◆ Class_Name()

static const char * TSpectrumTransform::Class_Name ( )
static
Returns
Name of this class

◆ Class_Version()

static constexpr Version_t TSpectrumTransform::Class_Version ( )
inlinestaticconstexpr
Returns
Version of this class

Definition at line 71 of file TSpectrumTransform.h.

◆ DeclFileName()

static const char * TSpectrumTransform::DeclFileName ( )
inlinestatic
Returns
Name of the file containing the class declaration

Definition at line 71 of file TSpectrumTransform.h.

◆ Enhance()

void TSpectrumTransform::Enhance ( const Double_t source,
Double_t destVector 
)

This function transforms the source spectrum.

The calling program should fill in input parameters. Then it multiplies transformed coefficients in the given region (fXmin, fXmax) by the given fEnhanceCoeff and transforms it back Processed data are written into dest spectrum.

Function parameters:

  • source-pointer to the vector of source spectrum, its length should be size except for inverse FOURIER, FOUR-WALSh, FOUR-HAAR transform. These need 2*size length to supply real and imaginary coefficients.
  • destVector-pointer to the vector of dest data, its length should be size except for direct FOURIER, FOUR-WALSh, FOUR-HAAR. These need 2*size length to store real and imaginary coefficients

Example - script Enhance.c:

Fig. 1 Original spectrum (black line) and enhanced spectrum (red line) using Cosine transform (channels 0-1024 were multiplied by 2)

Script:

Example to illustrate Enhance function (class TSpectrumTransform). To execute this example, do:

root > .x Enhance.C

void Enhance() {
Int_t i;
Double_t nbins = 4096;
Double_t * source = new Double_t[nbins];
Double_t * dest = new Double_t[nbins];
TH1F *h = new TH1F("h","Enhancement using Cosine transform",nbins,xmin,xmax);
TH1F *d = new TH1F("d","",nbins,xmin,xmax);
TFile *f = new TFile("spectra/TSpectrum.root");
h=(TH1F*) f->Get("transform1;1");
for (i = 0; i < nbins; i++) source[i]=h->GetBinContent(i + 1);
TCanvas *Transform1 = gROOT->GetListOfCanvases()->FindObject("Transform1");
if (!Transform1) Transform1 = new TCanvas("Transform","Transform1",10,10,1000,700);
h->SetAxisRange(700,1024);
h->Draw("L");
TSpectrum *s = new TSpectrum();
t->SetRegion(0, 1024);
t->Enhance(source,dest);
for (i = 0; i < nbins; i++) d->SetBinContent(i + 1,dest[i]);
d->SetLineColor(kRed);
d->Draw("SAME L");
}
#define d(i)
Definition RSha256.hxx:102
#define f(i)
Definition RSha256.hxx:104
#define h(i)
Definition RSha256.hxx:106
double Double_t
Definition RtypesCore.h:59
@ kRed
Definition Rtypes.h:66
Option_t Option_t TPoint TPoint const char GetTextMagnitude GetFillStyle GetLineColor GetLineWidth GetMarkerStyle GetTextAlign GetTextColor GetTextSize void char Point_t Rectangle_t dest
float xmin
float xmax
#define gROOT
Definition TROOT.h:406
The Canvas class.
Definition TCanvas.h:23
A ROOT file is an on-disk file, usually with extension .root, that stores objects in a file-system-li...
Definition TFile.h:53
1-D histogram with a float per channel (see TH1 documentation)
Definition TH1.h:622
TObject * FindObject(const char *name) const override
Search if object named name is inside this pad or in pads inside this pad.
Definition TPad.cxx:2700
Advanced 1-dimensional orthogonal transform functions.
void SetRegion(Int_t xmin, Int_t xmax)
This function sets the filtering or enhancement region:
void Enhance(const Double_t *source, Double_t *destVector)
This function transforms the source spectrum.
void SetEnhanceCoeff(Double_t enhanceCoeff)
This function sets the enhancement coefficient:
TSpectrumTransform()
default constructor
void SetTransformType(Int_t transType, Int_t degree)
This function sets the following parameters for transform:
Advanced Spectra Processing.
Definition TSpectrum.h:18

Definition at line 1779 of file TSpectrumTransform.cxx.

◆ FilterZonal()

void TSpectrumTransform::FilterZonal ( const Double_t source,
Double_t destVector 
)

This function transforms the source spectrum.

The calling program should fill in input parameters. Then it sets transformed coefficients in the given region (fXmin, fXmax) to the given fFilterCoeff and transforms it back. Filtered data are written into dest spectrum.

Function parameters:

  • source-pointer to the vector of source spectrum, its length should be size except for inverse FOURIER, FOUR-WALSH, FOUR-HAAR transform. These need 2*size length to supply real and imaginary coefficients.
  • destVector-pointer to the vector of dest data, its length should be size except for direct FOURIER, FOUR-WALSH, FOUR-HAAR. These need 2*size length to store real and imaginary coefficients

Example - script Filter.c:

Fig. 1 Original spectrum (black line) and filtered spectrum (red line) using Cosine transform and zonal filtration (channels 2048-4095 were set to 0)

Script:

Example to illustrate FilterZonal function (class TSpectrumTransform). To execute this example, do:

root > .x Filter.C

#include <TSpectrum>
#include <TSpectrumTransform>
void Filter() {
Int_t i;
Double_t nbins = 4096;
Double_t * source = new Double_t[nbins];
Double_t * dest = new Double_t[nbins];
TH1F *h = new TH1F("h","Zonal filtering using Cosine transform",nbins,xmin,xmax);
TH1F *d = new TH1F("d","",nbins,xmin,xmax);
TFile *f = new TFile("spectra/TSpectrum.root");
h=(TH1F*) f->Get("transform1;1");
for (i = 0; i < nbins; i++) source[i]=h->GetBinContent(i + 1);
TCanvas *Transform1 = gROOT->GetListOfCanvases()->FindObject("Transform1");
if (!Transform1) Transform1 = new TCanvas("Transform","Transform1",10,10,1000,700);
h->SetAxisRange(700,1024);
h->Draw("L");
TSpectrum *s = new TSpectrum();
t->SetRegion(2048, 4095);
t->FilterZonal(source,dest);
for (i = 0; i < nbins; i++) d->SetBinContent(i + 1,dest[i]);
d->SetLineColor(kRed);
d->Draw("SAME L");
}
void FilterZonal(const Double_t *source, Double_t *destVector)
This function transforms the source spectrum.

Definition at line 1269 of file TSpectrumTransform.cxx.

◆ Fourier()

void TSpectrumTransform::Fourier ( Double_t working_space,
Int_t  num,
Int_t  hartley,
Int_t  direction,
Int_t  zt_clear 
)
protected

This function calculates Fourier based transform of a part of data Function parameters:

  • working_space-pointer to vector of transformed data
  • num-length of processed data
  • hartley-1 if it is Hartley transform, 0 otherwise
  • direction-forward or inverse transform

Definition at line 265 of file TSpectrumTransform.cxx.

◆ GeneralExe()

int TSpectrumTransform::GeneralExe ( Double_t working_space,
Int_t  zt_clear,
Int_t  num,
Int_t  degree,
Int_t  type 
)
protected

This function calculates generalized (mixed) transforms of different degrees Function parameters:

  • working_space-pointer to vector of transformed data
  • zt_clear-flag to clear imaginary data before staring
  • num-length of processed data
  • degree-degree of transform (see manual)
  • type-type of mixed transform (see manual)

Definition at line 431 of file TSpectrumTransform.cxx.

◆ GeneralInv()

int TSpectrumTransform::GeneralInv ( Double_t working_space,
Int_t  num,
Int_t  degree,
Int_t  type 
)
protected

This function calculates inverse generalized (mixed) transforms Function parameters:

  • working_space-pointer to vector of transformed data
  • num-length of processed data
  • degree-degree of transform (see manual)
  • type-type of mixed transform (see manual)

Definition at line 547 of file TSpectrumTransform.cxx.

◆ Haar()

void TSpectrumTransform::Haar ( Double_t working_space,
Int_t  num,
Int_t  direction 
)
protected

This function calculates Haar transform of a part of data Function parameters:

  • working_space-pointer to vector of transformed data
  • num-length of processed data
  • direction-forward or inverse transform

Definition at line 96 of file TSpectrumTransform.cxx.

◆ IsA()

TClass * TSpectrumTransform::IsA ( ) const
inlineoverridevirtual
Returns
TClass describing current object

Reimplemented from TNamed.

Definition at line 71 of file TSpectrumTransform.h.

◆ SetDirection()

void TSpectrumTransform::SetDirection ( Int_t  direction)

This function sets the direction of the transform:

  • direction (forward or inverse)

Definition at line 2278 of file TSpectrumTransform.cxx.

◆ SetEnhanceCoeff()

void TSpectrumTransform::SetEnhanceCoeff ( Double_t  enhanceCoeff)

This function sets the enhancement coefficient:

  • enhanceCoeff - after the transform the enhanced region (xmin, xmax) is multiplied by this coefficient. Applies only for enhancement operation.

Definition at line 2300 of file TSpectrumTransform.cxx.

◆ SetFilterCoeff()

void TSpectrumTransform::SetFilterCoeff ( Double_t  filterCoeff)

This function sets the filter coefficient:

  • filterCoeff - after the transform the filtered region (xmin, xmax) is replaced by this coefficient. Applies only for filtereng operation.

Definition at line 2291 of file TSpectrumTransform.cxx.

◆ SetRegion()

void TSpectrumTransform::SetRegion ( Int_t  xmin,
Int_t  xmax 
)

This function sets the filtering or enhancement region:

  • xmin, xmax

Definition at line 2264 of file TSpectrumTransform.cxx.

◆ SetTransformType()

void TSpectrumTransform::SetTransformType ( Int_t  transType,
Int_t  degree 
)

This function sets the following parameters for transform:

  • transType - type of transform (Haar, Walsh, Cosine, Sine, Fourier, Hartley, Fourier-Walsh, Fourier-Haar, Walsh-Haar, Cosine-Walsh, Cosine-Haar, Sine-Walsh, Sine-Haar)
  • degree - degree of mixed transform, applies only for Fourier-Walsh, Fourier-Haar, Walsh-Haar, Cosine-Walsh, Cosine-Haar, Sine-Walsh, Sine-Haar transforms

Definition at line 2237 of file TSpectrumTransform.cxx.

◆ Streamer()

void TSpectrumTransform::Streamer ( TBuffer R__b)
overridevirtual

Stream an object of class TObject.

Reimplemented from TNamed.

◆ StreamerNVirtual()

void TSpectrumTransform::StreamerNVirtual ( TBuffer ClassDef_StreamerNVirtual_b)
inline

Definition at line 71 of file TSpectrumTransform.h.

◆ Transform()

void TSpectrumTransform::Transform ( const Double_t source,
Double_t destVector 
)

This function transforms the source spectrum.

The calling program should fill in input parameters. Transformed data are written into dest spectrum.

Function parameters:

  • source-pointer to the vector of source spectrum, its length should be size except for inverse FOURIER, FOUR-WALSH, FOUR-HAAR transform. These need 2*size length to supply real and imaginary coefficients.
  • destVector-pointer to the vector of dest data, its length should be size except for direct FOURIER, FOUR-WALSH, FOUR-HAAR. These need 2*size length to store real and imaginary coefficients

Transform methods

Goal: to analyse experimental data using orthogonal transforms

  • orthogonal transforms can be successfully used for the processing of nuclear spectra (not only)
  • they can be used to remove high frequency noise, to increase signal-to-background ratio as well as to enhance low intensity components [1], to carry out e.g. Fourier analysis etc.
  • we have implemented the function for the calculation of the commonly used orthogonal transforms as well as functions for the filtration and enhancement of experimental data

References:

[1] C.V. Hampton, B. Lian, Wm. C. McHarris: Fast-Fourier-transform spectral enhancement techniques for gamma-ray spectroscopy. NIM A353 (1994) 280-284.

[2] Morhac; M., Matouoek V., New adaptive Cosine-Walsh transform and its application to nuclear data compression, IEEE Transactions on Signal Processing 48 (2000) 2693.

[3] Morhac; M., Matouoek V., Data compression using new fast adaptive Cosine-Haar transforms, Digital Signal Processing 8 (1998) 63.

[4] Morhac; M., Matouoek V.: Multidimensional nuclear data compression using fast adaptive Walsh-Haar transform. Acta Physica Slovaca 51 (2001) 307.

Example - script Transform.c:

Fig. 1 Original gamma-ray spectrum
Fig. 2 Transformed spectrum from Fig. 1 using Cosine transform

Script:

Example to illustrate Transform function (class TSpectrumTransform). To execute this example, do:

root > .x Transform.C

#include <TSpectrum>
#include <TSpectrumTransform>
void Transform() {
Int_t i;
Double_t nbins = 4096;
Double_t * source = new Double_t[nbins];
Double_t * dest = new Double_t[nbins];
TH1F *h = new TH1F("h","Transformed spectrum using Cosine transform",nbins,xmin,xmax);
TFile *f = new TFile("spectra/TSpectrum.root");
h=(TH1F*) f->Get("transform1;1");
for (i = 0; i < nbins; i++) source[i]=h->GetBinContent(i + 1);
TCanvas *Transform1 = gROOT->GetListOfCanvases()->FindObject("Transform1");
if (!Transform1) Transform1 = new TCanvas("Transform","Transform1",10,10,1000,700);
TSpectrum *s = new TSpectrum();
t->Transform(source,dest);
for (i = 0; i < nbins; i++) h->SetBinContent(i + 1,dest[i]);
h->SetLineColor(kRed);
h->Draw("L");
}
void Transform(const Double_t *source, Double_t *destVector)
This function transforms the source spectrum.
void SetDirection(Int_t direction)
This function sets the direction of the transform:

Definition at line 741 of file TSpectrumTransform.cxx.

◆ Walsh()

void TSpectrumTransform::Walsh ( Double_t working_space,
Int_t  num 
)
protected

This function calculates Walsh transform of a part of data Function parameters:

  • working_space-pointer to vector of transformed data
  • num-length of processed data

Definition at line 174 of file TSpectrumTransform.cxx.

Member Data Documentation

◆ fDegree

Int_t TSpectrumTransform::fDegree
protected

degree of mixed transform, applies only for Fourier-Walsh, Fourier-Haar, Walsh-Haar, Cosine-Walsh, Cosine-Haar, Sine-Walsh, Sine-Haar transforms

Definition at line 23 of file TSpectrumTransform.h.

◆ fDirection

Int_t TSpectrumTransform::fDirection
protected

forward or inverse transform

Definition at line 24 of file TSpectrumTransform.h.

◆ fEnhanceCoeff

Double_t TSpectrumTransform::fEnhanceCoeff
protected

multiplication coefficient applied in enhanced region;

Definition at line 28 of file TSpectrumTransform.h.

◆ fFilterCoeff

Double_t TSpectrumTransform::fFilterCoeff
protected

value set in the filtered region

Definition at line 27 of file TSpectrumTransform.h.

◆ fSize

Int_t TSpectrumTransform::fSize
protected

length of transformed data

Definition at line 21 of file TSpectrumTransform.h.

◆ fTransformType

Int_t TSpectrumTransform::fTransformType
protected

type of transformation (Haar, Walsh, Cosine, Sine, Fourier, Hartley, Fourier-Walsh, Fourier-Haar, Walsh-Haar, Cosine-Walsh, Cosine-Haar, Sine-Walsh, Sine-Haar)

Definition at line 22 of file TSpectrumTransform.h.

◆ fXmax

Int_t TSpectrumTransform::fXmax
protected

last channel of filtered or enhanced region

Definition at line 26 of file TSpectrumTransform.h.

◆ fXmin

Int_t TSpectrumTransform::fXmin
protected

first channel of filtered or enhanced region

Definition at line 25 of file TSpectrumTransform.h.

Libraries for TSpectrumTransform:

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