Documentation / Developer's manual
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Uranie / Sampler v4.9.0
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#include <TSamplerField.h>
Public Member Functions | |
Constructor and Destructor | |
TSamplerField (URANIE::DataServer::TDataServer *tds, Option_t *option="Gauss", int nS=1) | |
Constructor with a dataserver. | |
virtual | ~TSamplerField () |
Default destructor. | |
Generates the sample | |
void | generateSample (Option_t *option="") |
Generates the sample. | |
Treats the TAttributes | |
void | createListOfAttributes () |
Creates the List of attributes to simulate. | |
Setting and Getting attributs | |
void | setMethod (TString str) |
Sets the method given by the name. | |
TString | getMethodName () |
Returns the name of the method. | |
void | setVariogram (TString str) |
Sets the variogramm name. | |
TString | getVariogramName () |
Returns the name of the variogramm. | |
void | SetRandomFunction (Int_t nind) |
Int_t | GetRandomFunction () |
void | SetIsotropy (Bool_t bval) |
Bool_t | IsIsotropy () |
void | SetVariance (Double_t dval) |
Double_t | GetVariance () |
void | SetScaleFactor (Double_t dval) |
void | Draw2D (TString sx, TString sy, Option_t *opt="TRI2") |
Printing Log | |
virtual void | printLog (Option_t *option="") |
Prints the log. | |
Public Member Functions inherited from URANIE::Sampler::TSamplerStochastic | |
TSamplerStochastic (URANIE::DataServer::TDataServer *tds, Option_t *option, Int_t nCalcul) | |
Constructor with a dataserver. | |
virtual | ~TSamplerStochastic () |
Default destructor. | |
void | setSeed (Int_t ind=0) |
Init the seed. | |
Int_t | getSeed () |
Returns the seed value. | |
Public Member Functions inherited from URANIE::Sampler::TSampler | |
TSampler (URANIE::DataServer::TDataServer *tds, Option_t *option, Int_t nCalcul) | |
Constructor with a TDataServer, the options and the size of the sample. | |
virtual | ~TSampler () |
Default destructor. | |
Int_t | GetID () |
Returns the ID of the class. | |
void | setMethodName (TString str) |
Sets the method name in a global variable. | |
TString | getMethodName () |
Gets the method name. | |
virtual URANIE::DataServer::TDataServer * | getTDS () |
Return the TDS filling by the sampling algorithm. | |
void | parseOption (Option_t *option) |
Parse the option. | |
virtual void | createTuple () |
Creates the TDSNtupleD of data with only the TStochasticAttributes. | |
URANIE::DataServer::TDSNtupleD * | getTuple () |
Returns the TDSNtupleD of data. | |
virtual void | fillOtherAttributes () |
Fills the TDSNtupleD of data with other TFormulaAttributes. | |
void | setLog () |
void | unsetLog () |
void | changeLog () |
Bool_t | getLog () |
Public Attributes | |
Int_t | _nXSize |
Int_t | _nYSize |
Int_t | _nZSize |
Int_t | _nRandomFunction |
Number of basic random functions. | |
Int_t | _nMethod |
The method of simulation. | |
Int_t | _nVariogram |
The variogram type. | |
Bool_t | _bIsotropy |
Boolean to set Isotropy/ Anisotropy. | |
Double_t | _dVariance |
Variance. | |
Double_t | _dSigma |
Sigma. | |
TVector3 | _vScaleFactor |
Scale factor of the axis. | |
Double_t | _valcrt |
Public Attributes inherited from URANIE::Sampler::TSampler | |
Int_t | _nS |
The size of the sample. | |
Int_t | _nX |
The size of attributes to sample. | |
URANIE::DataServer::TDSNtupleD * | _ntsample |
the tntuple of data | |
TString | _sMethod |
The title of the sampler method. | |
Bool_t | _blog |
Log Printing. | |
Bool_t | _bupdateFile |
Update the back up file when generating the attributeformula if there is some. | |
URANIE::DataServer::TDataServer * | _tds |
Pointer to a TDS. | |
TList * | _lstOfAttributesToSample |
The list of Stochastic Attributes to sample. | |
Protected Member Functions | |
void | SpectralInit () |
void | SpectralPrepare () |
void | SpectralSimulate (unsigned int ievt) |
void | VDC () |
Protected Member Functions inherited from URANIE::Sampler::TSamplerStochastic | |
virtual void | init () |
The preprocessing step. | |
virtual void | terminate () |
The post-processing step. | |
Protected Attributes | |
TMatrixD | _vdc |
TMatrixD | _ap |
Matrix _nRandomFunction * 3. | |
TVectorD | _scale |
Matrix 3 * 3. | |
TVectorD | _seed |
Vector of the norms. | |
TGraph2D * | _graph2D |
Vectors of the seeds. | |
vector< URANIE::DataServer::UEntry * > | in |
Visu 2 D. | |
Protected Attributes inherited from URANIE::Sampler::TSamplerStochastic | |
Int_t | _nSeed |
Private Types | |
enum | SimulationMethod { kSphericalVariogram , kExponentialVariogram , kStableVariogram , kHyperbolicVariogram , kGaussianVariogram , kSinusCardinalVariogram , kSpectralMethod , kDilutionMethod , kTessellationMethod , kTurningBandsMethod } |
Member Enumeration Documentation
◆ SimulationMethod
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private |
Constructor & Destructor Documentation
◆ TSamplerField()
URANIE::Sampler::TSamplerField::TSamplerField | ( | URANIE::DataServer::TDataServer * | tds, |
Option_t * | option = "Gauss" , |
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int | nS = 1 |
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) |
Constructor with a dataserver.
References URANIE::Sampler::TSampler::_blog, _dSigma, _graph2D, URANIE::Sampler::TSampler::_nS, URANIE::Sampler::TSampler::_nX, _nXSize, _nYSize, _nZSize, URANIE::Sampler::TSampler::_tds, createListOfAttributes(), SetIsotropy(), setMethod(), URANIE::Sampler::TSampler::setMethodName(), SetRandomFunction(), SetVariance(), and setVariogram().
◆ ~TSamplerField()
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virtual |
Member Function Documentation
◆ createListOfAttributes()
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virtual |
Creates the List of attributes to simulate.
Reimplemented from URANIE::Sampler::TSampler.
References URANIE::Sampler::TSampler::_blog, URANIE::Sampler::TSampler::_lstOfAttributesToSample, URANIE::Sampler::TSampler::_nX, and URANIE::Sampler::TSampler::_tds.
Referenced by TSamplerField().
◆ Draw2D()
void URANIE::Sampler::TSamplerField::Draw2D | ( | TString | sx, |
TString | sy, | ||
Option_t * | opt = "TRI2" |
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) |
◆ generateSample()
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virtual |
Generates the sample.
Implements URANIE::Sampler::TSampler.
References URANIE::Sampler::TSampler::_blog, _nMethod, URANIE::Sampler::TSampler::_nS, URANIE::Sampler::TSampler::_ntsample, _nVariogram, URANIE::Sampler::TSampler::_tds, URANIE::Sampler::TSampler::createTuple(), URANIE::Sampler::TSampler::fillOtherAttributes(), getMethodName(), getVariogramName(), kGaussianVariogram, kSinusCardinalVariogram, kSpectralMethod, SpectralInit(), SpectralPrepare(), and SpectralSimulate().
◆ getMethodName()
TString URANIE::Sampler::TSamplerField::getMethodName | ( | ) |
Returns the name of the method.
- Returns
- "Spectral Method"|"Dilution Method"|"Tessellation Method"|Turning Bands Method|"unknown Bands Method"|
References _nMethod, kDilutionMethod, kSpectralMethod, kTessellationMethod, and kTurningBandsMethod.
Referenced by generateSample().
◆ GetRandomFunction()
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inline |
References _nRandomFunction.
◆ GetVariance()
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inline |
References _dVariance.
◆ getVariogramName()
TString URANIE::Sampler::TSamplerField::getVariogramName | ( | ) |
Returns the name of the variogramm.
- Returns
- "Spherical"|"Exponential"|"Stable"|"Hyperbolic"|"Gaussian"|"SineCardinal"
References _nVariogram, kExponentialVariogram, kGaussianVariogram, kHyperbolicVariogram, kSinusCardinalVariogram, kSphericalVariogram, and kStableVariogram.
Referenced by generateSample(), and setVariogram().
◆ IsIsotropy()
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inline |
References _bIsotropy.
◆ printLog()
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virtual |
Prints the log.
Reimplemented from URANIE::Sampler::TSamplerStochastic.
References _bIsotropy, _dSigma, _dVariance, _nMethod, _nRandomFunction, _nVariogram, _nXSize, _nYSize, _nZSize, URANIE::Sampler::TSampler::_sMethod, URANIE::Sampler::TSampler::GetID(), and URANIE::Sampler::TSamplerStochastic::printLog().
◆ SetIsotropy()
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inline |
References _bIsotropy.
Referenced by TSamplerField().
◆ setMethod()
void URANIE::Sampler::TSamplerField::setMethod | ( | TString | str | ) |
Sets the method given by the name.
- Parameters
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str (TString) the method name ("spectral"|"dilution"|"tessellation"|"turningbands"| )
References _nMethod, kDilutionMethod, kSpectralMethod, kTessellationMethod, and kTurningBandsMethod.
Referenced by TSamplerField().
◆ SetRandomFunction()
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inline |
References _nRandomFunction.
Referenced by TSamplerField().
◆ SetScaleFactor()
void URANIE::Sampler::TSamplerField::SetScaleFactor | ( | Double_t | dval | ) |
References _vScaleFactor.
◆ SetVariance()
void URANIE::Sampler::TSamplerField::SetVariance | ( | Double_t | dval | ) |
References _dVariance.
Referenced by TSamplerField().
◆ setVariogram()
void URANIE::Sampler::TSamplerField::setVariogram | ( | TString | str | ) |
Sets the variogramm name.
- Parameters
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str (TString) The name of variogramm ("spherical"|"exponential"|"stable"|"hyperbolic"|"gaussian"|"sine")
References _nVariogram, getVariogramName(), kExponentialVariogram, kGaussianVariogram, kHyperbolicVariogram, kSinusCardinalVariogram, kSphericalVariogram, and kStableVariogram.
Referenced by TSamplerField().
◆ SpectralInit()
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protected |
References _ap, _bIsotropy, _dSigma, _dVariance, _nRandomFunction, _nVariogram, _scale, _seed, _vdc, _vScaleFactor, kGaussianVariogram, kSinusCardinalVariogram, and VDC().
Referenced by generateSample().
◆ SpectralPrepare()
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protected |
References _ap, _nRandomFunction, _nVariogram, _scale, _seed, _vdc, kGaussianVariogram, and kSinusCardinalVariogram.
Referenced by generateSample().
◆ SpectralSimulate()
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protected |
References _dSigma, _nRandomFunction, URANIE::Sampler::TSampler::_nS, URANIE::Sampler::TSampler::_ntsample, _nVariogram, _nXSize, _nYSize, _nZSize, _scale, _seed, URANIE::Sampler::TSampler::_tds, _valcrt, _vdc, in, kGaussianVariogram, and kSinusCardinalVariogram.
Referenced by generateSample().
◆ VDC()
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protected |
References _nRandomFunction, _vdc, and m.
Referenced by SpectralInit().
Member Data Documentation
◆ _ap
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protected |
Matrix _nRandomFunction * 3.
Referenced by SpectralInit(), and SpectralPrepare().
◆ _bIsotropy
Bool_t URANIE::Sampler::TSamplerField::_bIsotropy |
Boolean to set Isotropy/ Anisotropy.
Referenced by IsIsotropy(), printLog(), SetIsotropy(), and SpectralInit().
◆ _dSigma
Double_t URANIE::Sampler::TSamplerField::_dSigma |
Sigma.
Referenced by printLog(), SpectralInit(), SpectralSimulate(), and TSamplerField().
◆ _dVariance
Double_t URANIE::Sampler::TSamplerField::_dVariance |
Variance.
Referenced by GetVariance(), printLog(), SetVariance(), and SpectralInit().
◆ _graph2D
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protected |
Vectors of the seeds.
Referenced by Draw2D(), TSamplerField(), and ~TSamplerField().
◆ _nMethod
Int_t URANIE::Sampler::TSamplerField::_nMethod |
The method of simulation.
Referenced by generateSample(), getMethodName(), printLog(), and setMethod().
◆ _nRandomFunction
Int_t URANIE::Sampler::TSamplerField::_nRandomFunction |
Number of basic random functions.
Referenced by GetRandomFunction(), printLog(), SetRandomFunction(), SpectralInit(), SpectralPrepare(), SpectralSimulate(), and VDC().
◆ _nVariogram
Int_t URANIE::Sampler::TSamplerField::_nVariogram |
The variogram type.
Referenced by generateSample(), getVariogramName(), printLog(), setVariogram(), SpectralInit(), SpectralPrepare(), and SpectralSimulate().
◆ _nXSize
Int_t URANIE::Sampler::TSamplerField::_nXSize |
Referenced by printLog(), SpectralSimulate(), and TSamplerField().
◆ _nYSize
Int_t URANIE::Sampler::TSamplerField::_nYSize |
Referenced by printLog(), SpectralSimulate(), and TSamplerField().
◆ _nZSize
Int_t URANIE::Sampler::TSamplerField::_nZSize |
Referenced by printLog(), SpectralSimulate(), and TSamplerField().
◆ _scale
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protected |
Matrix 3 * 3.
Referenced by SpectralInit(), SpectralPrepare(), and SpectralSimulate().
◆ _seed
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protected |
Vector of the norms.
Referenced by SpectralInit(), SpectralPrepare(), and SpectralSimulate().
◆ _valcrt
Double_t URANIE::Sampler::TSamplerField::_valcrt |
Referenced by SpectralSimulate().
◆ _vdc
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protected |
Referenced by SpectralInit(), SpectralPrepare(), SpectralSimulate(), and VDC().
◆ _vScaleFactor
TVector3 URANIE::Sampler::TSamplerField::_vScaleFactor |
Scale factor of the axis.
Referenced by SetScaleFactor(), and SpectralInit().
◆ in
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protected |
Visu 2 D.
Referenced by SpectralSimulate(), and ~TSamplerField().