Documentation / Developer's manual
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Uranie / Calibration
v4.11.0
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#include <TABC.h>


Public Member Functions | |
Constructor and Destructor | |
| TABC (URANIE::DataServer::TDataServer *tds, URANIE::Relauncher::TRun *run, int ns=100, Option_t *option="") | |
| Default ABC constructor with the runner argument: it contains the assessor to be used. More... | |
| TABC (URANIE::DataServer::TDataServer *tds, void(*fcn)(Double_t *, Double_t *), const char *varexpinput, const char *varexpoutput, int ns=100, Option_t *option="") | |
| Default ABC constructor with the function argument: it contains the assessor to be used More... | |
| TABC (URANIE::DataServer::TDataServer *tds, const char *fcn, const char *varexpinput, const char *varexpoutput, int ns=100, Option_t *option="") | |
| Default ABC constructor with the function argument: it contains the assessor to be used. More... | |
| TABC (URANIE::DataServer::TDataServer *tds, URANIE::Launcher::TCode *fcode, int ns=1, Option_t *option="") | |
| Default ABC constructor with the code argument: it contains the assessor to be used. More... | |
| virtual | ~TABC () |
| Default destructor. More... | |
Initialisation methods | |
| virtual void | setDistance (const char *distName, URANIE::DataServer::TDataServer *tdsRef, const char *input, const char *reference, const char *weight="") |
| Set the distance function and some needed informations. More... | |
| virtual void | setDistance (URANIE::Calibration::TDistanceLikelihoodFunction *distFunc, URANIE::DataServer::TDataServer *tdsRef, const char *input, const char *reference, const char *weight="") |
| Set the distance function and some needed informations. More... | |
| void | initABC () |
ABC functions | |
| void | setUpABC () |
| void | computeABC (int nEval) |
| void | computeABCscore (Double_t newEpsilon) |
| void | posteriorToPar () |
| void | checktdsParContent () |
Setting and Getting attributs | |
| void | setGaussianNoise (const char *stdname) |
| void | setPercentile (Double_t eps) |
| Set the percentile. More... | |
| URANIE::DataServer::TDataServer * | getTdsPosterior () |
| Get the posterior tds. More... | |
| double | getThreshold () |
| Get the posterior tds. More... | |
| int | getNEval () |
Public Member Functions inherited from URANIE::Calibration::TCalibration | |
| TCalibration (URANIE::DataServer::TDataServer *tds, URANIE::Relauncher::TRun *run, int ns=1, Option_t *option="") | |
| Default constructor with the runner argument: it contains the assessor to be used. More... | |
| TCalibration (URANIE::DataServer::TDataServer *tds, void(*fcn)(Double_t *, Double_t *), const char *varexpinput, const char *varexpoutput, int ns=1, Option_t *option="") | |
| Default Calibration constructor with the function argument: it contains the assessor to be used. More... | |
| TCalibration (URANIE::DataServer::TDataServer *tds, const char *fcn, const char *varexpinput, const char *varexpoutput, int ns=1, Option_t *option="") | |
| Default Calibration constructor with the function argument: it contains the assessor to be used. More... | |
| TCalibration (URANIE::DataServer::TDataServer *tds, URANIE::Launcher::TCode *fcode, int ns=1, const char *option="") | |
| Default Calibration constructor with the code argument: it contains the assessor to be used. More... | |
| virtual | ~TCalibration () |
| Default destructor. More... | |
| virtual void | setDistanceAndLikelihood (const char *Name, URANIE::DataServer::TDataServer *tdsRef, const char *input, const char *reference, const char *weight="") |
| Set the distance or likelihood function and some needed informations. More... | |
| virtual void | setDistanceAndLikelihood (URANIE::Calibration::TDistanceLikelihoodFunction *Func, URANIE::DataServer::TDataServer *tdsRef, const char *input, const char *reference, const char *weight="") |
| Set the distance of likelihood function and some needed informations. More... | |
| void | estimateParameters (Option_t *option="") |
| void | estimateCustomResiduals (string resName, int n_theta, double *theta) |
| void | checkReference (URANIE::DataServer::TDataServer *tdsRef, const char *input, const char *output, const char *weight) |
| Check the consistency of the formation provided. More... | |
| virtual void | drawParameters (TString sTitre, const char *variable="*", Option_t *option="") |
| void | drawResiduals (TString sTitre, const char *variable="*", const char *select="1>0", Option_t *option="") |
| void | setLog () |
| void | unsetLog () |
| void | changeLog () |
| Bool_t | getLog () |
| virtual void | printLog (Option_t *option="") |
| Int_t | getID () |
| void | setSeed (UInt_t nval) |
| Set the seed of the random generator if one is used. More... | |
| UInt_t | getSeed () |
| Get the seed of the random generator if one is used. More... | |
| const char * | getMethodName () |
| Get the method name. More... | |
| void | setObservationCovarianceMatrix (TMatrixD &mat) |
| Set the observatiton covariance matrix. More... | |
| URANIE::Calibration::TDistanceLikelihoodFunction * | getDistanceLikelihoodFunction () |
| Return the distance or likelihood function. More... | |
| Int_t | getNPar () |
| Get the number of parameters to be calibrated. More... | |
| URANIE::DataServer::TDataServer * | getEvaluationTDS () |
| Get the tds in which evaluation will be performed. More... | |
Public Attributes | |
| vector< double > | _values |
| URANIE::DataServer::TDataServer * | _tdsPosterior |
| TDS containing posterior members for calibration. More... | |
Public Attributes inherited from URANIE::Calibration::TCalibration | |
| URANIE::DataServer::TDataServer * | _tdsPar |
| TDS containing parameters properties (parameters that should be calibrated) More... | |
| URANIE::DataServer::TDataServer * | _tdsObs |
| TDS containing observations used for calibration. More... | |
| URANIE::DataServer::TDataServer * | _tdsEval |
| TDS containing a priori / a posteriori evaluations. More... | |
| ELauncher | _nLauncher |
| The type of launcher. More... | |
| TString | _sFunctionName |
| The Name of the evaluatuor. More... | |
| TString | _sEI |
| The Name of input. More... | |
| TString | _sEO |
| The Name of output. More... | |
| URANIE::Launcher::TCode * | _code |
| The tcode. More... | |
| URANIE::Relauncher::TRun * | _run |
| Pointer to the runner to be used. More... | |
| void(* | _pFunction )(double *, double *) |
| Function pointer. More... | |
| vector< URANIE::DataServer::TStochasticAttribute * > | _vatt |
| internal vector of stochastic attribute for some methods More... | |
Protected Attributes | |
| double | _threshold |
| Int_t | _kPosterior |
| Int_t | _kEval |
| TRandom3 * | _rand |
| Bool_t | _boolEpsilon |
| Double_t | _Epsilon |
Protected Attributes inherited from URANIE::Calibration::TCalibration | |
| URANIE::Calibration::TDistanceLikelihoodFunction * | _dFunc |
| Pointer to chosen distance or likelihood function. More... | |
| URANIE::DataServer::TDSNtupleD * | _evTuple |
| Pointer to the eval ntuple. More... | |
| TList * | _listOfParameters |
| List of the parameters to be calibrated. More... | |
| TCanvas * | _canvas |
| Canvas object to deal with. More... | |
| TObjArray * | _drawingGarbageCollector |
| Garbage collector for prints. More... | |
| int | _nSam |
| The number of sample in a posteriori distributions. More... | |
| int | _nObs |
| The number of observations in the reference database. More... | |
| int | _nIterMax |
| The maximum number of iteration allowed (meaning total number of code estimation is _nIterMax * _nObs) More... | |
| int | _nPar |
| Dimension of the parameters. More... | |
| int | _nVar |
| Dimension of the output and references to be compared with. More... | |
| int | _nSeed = 0 |
| The seed of the random generator (initialized to 0 = random seed) More... | |
| TString | _sMethodName |
| The method name. More... | |
| TString | _referenceName |
| The reference name. More... | |
| TString | _outputName |
| The output name. More... | |
| vector< string > | _vrefName |
| The reference names. More... | |
| vector< string > | _voutName |
| The output names. More... | |
| TString | _weightName |
| The weight name. More... | |
| TMatrixD | _mObsCovMat |
| Observation Covariance matrix. More... | |
| bool | _buseMatrix |
| Use matrix instead of vectors in the TDistanceLikelihoodFunction. More... | |
| bool | _bsaveAll |
| Whether all evaluations should be saved, not only a priori and a posteriori. More... | |
| bool | _bdontKeepAgreement |
| Remove the agreement attribute from the tdsPar object. More... | |
| bool | _buseMode |
| Use Mode instead of Mean. More... | |
| Bool_t | _blog |
| Boolean for edit the log. More... | |
Additional Inherited Members | |
Public Types inherited from URANIE::Calibration::TCalibration | |
| enum | ELauncher { kCode, kFunction, kRun, kUnknown } |
Protected Member Functions inherited from URANIE::Calibration::TCalibration | |
| virtual void | computeParameters (Option_t *option="")=0 |
| internal method in which the estimation is performed for all inheriting classes More... | |
| void | checkCanvasCreation (bool newcan) |
| Create a canvas if needed. More... | |
| void | initInputs () |
| Initialise some common inputs. More... | |
| void | initResults (vector< string > *ParsedLines) |
| Initialise some common inputs. More... | |
| void | computeAPosterioriForDistribution (URANIE::DataServer::TDataServer *tds_chain_i) |
| Compute the a posteriori residual for many-solutions method. More... | |
| virtual void | parseOption (Option_t *option="") |
| Read the possible options. More... | |
| void | setMethodName (const char *str) |
| Set the Method name. More... | |
Constructor & Destructor Documentation
◆ TABC() [1/4]
| URANIE::Calibration::TABC::TABC | ( | URANIE::DataServer::TDataServer * | tds, |
| URANIE::Relauncher::TRun * | run, | ||
| int | ns = 100, |
||
| Option_t * | option = "" |
||
| ) |
Default ABC constructor with the runner argument: it contains the assessor to be used.
- Parameters
-
tds : the dataserver that contains no data but only one attribute per parameter to be calibrated run : the runner that contains the assessor to be used on the reference data ns : number of sample to be generated (depending on the method)
References URANIE::Calibration::TCalibration::_blog, checktdsParContent(), initABC(), and URANIE::Calibration::TCalibration::parseOption().
◆ TABC() [2/4]
| URANIE::Calibration::TABC::TABC | ( | URANIE::DataServer::TDataServer * | tds, |
| void(*)(Double_t *, Double_t *) | fcn, | ||
| const char * | varexpinput, | ||
| const char * | varexpoutput, | ||
| int | ns = 100, |
||
| Option_t * | option = "" |
||
| ) |
Default ABC constructor with the function argument: it contains the assessor to be used
- Parameters
-
tds : the dataserver that contains no data but only one attribute per parameter to be calibrated fcn : the pointer to a function ns : number of sample to be generated (depending on the method) varexpinput : the input variable for the function in the correct order (both input and parameters) varexpoutput : the output of the function in the correct order
References checktdsParContent(), initABC(), and URANIE::Calibration::TCalibration::parseOption().
◆ TABC() [3/4]
| URANIE::Calibration::TABC::TABC | ( | URANIE::DataServer::TDataServer * | tds, |
| const char * | fcn, | ||
| const char * | varexpinput, | ||
| const char * | varexpoutput, | ||
| int | ns = 100, |
||
| Option_t * | option = "" |
||
| ) |
Default ABC constructor with the function argument: it contains the assessor to be used.
- Parameters
-
tds : the dataserver that contains no data but only one attribute per parameter to be calibrated fcn : the name of the function ns : number of sample to be generated (depending on the method) varexpinput : the input variable for the function in the correct order (both input and parameters) varexpoutput : the output of the function in the correct order
References checktdsParContent(), initABC(), and URANIE::Calibration::TCalibration::parseOption().
◆ TABC() [4/4]
| URANIE::Calibration::TABC::TABC | ( | URANIE::DataServer::TDataServer * | tds, |
| URANIE::Launcher::TCode * | fcode, | ||
| int | ns = 1, |
||
| Option_t * | option = "" |
||
| ) |
Default ABC constructor with the code argument: it contains the assessor to be used.
- Parameters
-
tds : the dataserver that contains no data but only one attribute per parameter to be calibrated code : the code object that will be runned ns : number of sample to be generated (depending on the method)
References checktdsParContent(), and initABC().
◆ ~TABC()
|
virtual |
Default destructor.
References URANIE::Calibration::TCalibration::_blog, _rand, and _tdsPosterior.
Member Function Documentation
◆ checktdsParContent()
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virtual |
Check the content of the input dataserver
Implements URANIE::Calibration::TCalibration.
References URANIE::Calibration::TCalibration::_blog, URANIE::Calibration::TCalibration::_listOfParameters, URANIE::Calibration::TCalibration::_nPar, URANIE::Calibration::TCalibration::_tdsPar, URANIE::Calibration::TCalibration::_vatt, and URANIE::Calibration::TCalibration::setMethodName().
Referenced by TABC().
◆ computeABC()
| void URANIE::Calibration::TABC::computeABC | ( | int | nEval | ) |
References URANIE::Calibration::TCalibration::_blog, URANIE::Calibration::TCalibration::_dFunc, _kEval, URANIE::Calibration::TCalibration::_nPar, _rand, URANIE::Calibration::TCalibration::_tdsPar, _values, URANIE::Calibration::TCalibration::_vatt, and URANIE::Calibration::TDistanceLikelihoodFunction::eval().
Referenced by ClassImp(), and URANIE::Calibration::TRejectionABC::computeParameters().
◆ computeABCscore()
| void URANIE::Calibration::TABC::computeABCscore | ( | Double_t | newEpsilon | ) |
◆ getNEval()
|
inline |
References _kEval.
◆ getTdsPosterior()
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inline |
Get the posterior tds.
References _tdsPosterior.
◆ getThreshold()
|
inline |
Get the posterior tds.
References _threshold.
◆ initABC()
| void URANIE::Calibration::TABC::initABC | ( | ) |
References _Epsilon, _kEval, _kPosterior, _rand, _tdsPosterior, and URANIE::Calibration::TCalibration::setMethodName().
Referenced by TABC().
◆ posteriorToPar()
| void URANIE::Calibration::TABC::posteriorToPar | ( | ) |
References URANIE::Calibration::TCalibration::_listOfParameters, URANIE::Calibration::TCalibration::_nPar, URANIE::Calibration::TCalibration::_tdsPar, _tdsPosterior, and URANIE::Calibration::TCalibration::computeAPosterioriForDistribution().
Referenced by ClassImp(), and URANIE::Calibration::TRejectionABC::computeParameters().
◆ setDistance() [1/2]
|
virtual |
Set the distance function and some needed informations.
- Parameters
-
distName name of the distance function chosen among the already implemented ones: - "LS" for least squares distance function
- "weighterLS" for weighted least squares distance function
- "relativeLS" for relative least squares distance function
- "L1" for L1 distance function
- "Mahalanobis" for Mahalanobis distance function
tdsRef : the dataserver that contains all needed information detailled below input the input attributes used of the assessors in run reference the reference attributes that will be used to compared the newly done estimations for every iterations weight a weight to reweight every event, one-by-one (an experimental uncertainty for instance)
Reimplemented in URANIE::Calibration::TPMCABC, and URANIE::Calibration::TRejectionABC.
References URANIE::Calibration::TCalibration::setDistanceAndLikelihood().
◆ setDistance() [2/2]
|
virtual |
Set the distance function and some needed informations.
- Parameters
-
distFunc a pointer to a TDistanceLikelihoodFunction object (not usual, recommended only when dealing with a home-made distance or likelihood unction compiled on the spot) tdsRef : the dataserver that contains all needed information detailled below input the input attributes used of the assessors in run reference the reference attributes that will be used to compared the newly done estimations for every iterations weight a weight to reweight every event, one-by-one (an experimental uncertainty for instance)
Reimplemented in URANIE::Calibration::TPMCABC, and URANIE::Calibration::TRejectionABC.
References URANIE::Calibration::TCalibration::setDistanceAndLikelihood().
◆ setGaussianNoise()
| void URANIE::Calibration::TABC::setGaussianNoise | ( | const char * | stdname | ) |
Add gaussian noise for deterministic model
- Parameters
-
stdname : name of the attribute in the observed dataserver that will be used to introduce gaussian noise
References URANIE::Calibration::TCalibration::_dFunc, and URANIE::Calibration::TDistanceLikelihoodFunction::setGaussianRandomNoise().
◆ setPercentile()
|
inline |
Set the percentile.
References _boolEpsilon, and _Epsilon.
◆ setUpABC()
| void URANIE::Calibration::TABC::setUpABC | ( | ) |
Member Data Documentation
◆ _boolEpsilon
|
protected |
Referenced by ClassImp(), URANIE::Calibration::TRejectionABC::computeParameters(), and setPercentile().
◆ _Epsilon
|
protected |
Referenced by ClassImp(), URANIE::Calibration::TRejectionABC::computeParameters(), initABC(), and setPercentile().
◆ _kEval
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protected |
Referenced by ClassImp(), computeABC(), getNEval(), and initABC().
◆ _kPosterior
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protected |
Referenced by computeABCscore(), and initABC().
◆ _rand
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protected |
Referenced by ClassImp(), computeABC(), initABC(), setUpABC(), and ~TABC().
◆ _tdsPosterior
| URANIE::DataServer::TDataServer* URANIE::Calibration::TABC::_tdsPosterior |
TDS containing posterior members for calibration.
Referenced by ClassImp(), computeABCscore(), getTdsPosterior(), initABC(), posteriorToPar(), setUpABC(), and ~TABC().
◆ _threshold
|
protected |
Referenced by ClassImp(), URANIE::Calibration::TRejectionABC::computeParameters(), and getThreshold().
◆ _values
| vector<double> URANIE::Calibration::TABC::_values |
Referenced by ClassImp(), and computeABC().

Public Member Functions inherited from