LauCartesianCPCoeffSet.cc

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/*
Copyright 2006 University of Warwick
 
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
 
    http://www.apache.org/licenses/LICENSE-2.0
 
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
*/
 
/*
Laura++ package authors:
John Back
Paul Harrison
Thomas Latham
*/
 
#include "LauCartesianCPCoeffSet.hh"
 
#include "LauComplex.hh"
#include "LauConstants.hh"
#include "LauParameter.hh"
#include "LauPrint.hh"
 
#include "TMath.h"
#include "TRandom.h"
 
#include <fstream>
#include <iostream>
#include <vector>
 
LauCartesianCPCoeffSet::LauCartesianCPCoeffSet( const TString& compName,
                                                Double_t x,
                                                Double_t y,
                                                Double_t deltaX,
                                                Double_t deltaY,
                                                Bool_t xFixed,
                                                Bool_t yFixed,
                                                Bool_t deltaXFixed,
                                                Bool_t deltaYFixed,
                                                Bool_t deltaXSecondStage,
                                                Bool_t deltaYSecondStage ) :
    LauAbsCoeffSet( compName ),
    x_( new LauParameter( "X", x, minRealImagPart_, maxRealImagPart_, xFixed ) ),
    y_( new LauParameter( "Y", y, minRealImagPart_, maxRealImagPart_, yFixed ) ),
    deltaX_( new LauParameter( "DeltaX", deltaX, minDelta_, maxDelta_, deltaXFixed ) ),
    deltaY_( new LauParameter( "DeltaY", deltaY, minDelta_, maxDelta_, deltaYFixed ) ),
    particleCoeff_( x + deltaX, y + deltaY ),
    antiparticleCoeff_( x - deltaX, y - deltaY ),
    acp_( "ACP",
          -2.0 * ( x * deltaX + y * deltaY ) / ( x * x + deltaX * deltaX + y * y + deltaY * deltaY ),
          -1.0,
          1.0,
          deltaXFixed && deltaYFixed )
{
    if ( deltaXSecondStage && ! deltaXFixed ) {
        deltaX_->secondStage( kTRUE );
        deltaX_->initValue( 0.0 );
    }
    if ( deltaYSecondStage && ! deltaYFixed ) {
        deltaY_->secondStage( kTRUE );
        deltaY_->initValue( 0.0 );
    }
}
 
LauCartesianCPCoeffSet::LauCartesianCPCoeffSet( const LauCartesianCPCoeffSet& rhs,
                                                CloneOption cloneOption,
                                                Double_t constFactor ) :
    LauAbsCoeffSet( rhs.name() ),
    x_( 0 ),
    y_( 0 ),
    deltaX_( 0 ),
    deltaY_( 0 ),
    particleCoeff_( rhs.particleCoeff_ ),
    antiparticleCoeff_( rhs.antiparticleCoeff_ ),
    acp_( rhs.acp_ )
{
    if ( cloneOption == All || cloneOption == TieRealPart ) {
        x_ = rhs.x_->createClone( constFactor );
    } else {
        x_ = new LauParameter( "X",
                               rhs.x_->value(),
                               minRealImagPart_,
                               maxRealImagPart_,
                               rhs.x_->fixed() );
        if ( rhs.x_->blind() ) {
            const LauBlind* blinder = rhs.x_->blinder();
            x_->blindParameter( blinder->blindingString(), blinder->blindingWidth() );
        }
    }
 
    if ( cloneOption == All || cloneOption == TieImagPart ) {
        y_ = rhs.y_->createClone( constFactor );
    } else {
        y_ = new LauParameter( "Y",
                               rhs.y_->value(),
                               minRealImagPart_,
                               maxRealImagPart_,
                               rhs.y_->fixed() );
        if ( rhs.y_->blind() ) {
            const LauBlind* blinder = rhs.y_->blinder();
            y_->blindParameter( blinder->blindingString(), blinder->blindingWidth() );
        }
    }
 
    if ( cloneOption == All || cloneOption == TieCPPars ) {
        deltaX_ = rhs.deltaX_->createClone( constFactor );
        deltaY_ = rhs.deltaY_->createClone( constFactor );
    } else {
        deltaX_ = new LauParameter( "DeltaX",
                                    rhs.deltaX_->value(),
                                    minDelta_,
                                    maxDelta_,
                                    rhs.deltaX_->fixed() );
        deltaY_ = new LauParameter( "DeltaY",
                                    rhs.deltaY_->value(),
                                    minDelta_,
                                    maxDelta_,
                                    rhs.deltaY_->fixed() );
        if ( rhs.deltaX_->secondStage() && ! rhs.deltaX_->fixed() ) {
            deltaX_->secondStage( kTRUE );
            deltaX_->initValue( 0.0 );
        }
        if ( rhs.deltaY_->secondStage() && ! rhs.deltaY_->fixed() ) {
            deltaY_->secondStage( kTRUE );
            deltaY_->initValue( 0.0 );
        }
        if ( rhs.deltaX_->blind() ) {
            const LauBlind* blinder = rhs.deltaX_->blinder();
            deltaX_->blindParameter( blinder->blindingString(), blinder->blindingWidth() );
        }
        if ( rhs.deltaY_->blind() ) {
            const LauBlind* blinder = rhs.deltaY_->blinder();
            deltaY_->blindParameter( blinder->blindingString(), blinder->blindingWidth() );
        }
    }
}
 
std::vector<LauParameter*> LauCartesianCPCoeffSet::getParameters()
{
    std::vector<LauParameter*> pars;
    pars.push_back( x_ );
    pars.push_back( y_ );
    pars.push_back( deltaX_ );
    pars.push_back( deltaY_ );
    return pars;
}
 
void LauCartesianCPCoeffSet::printParValues() const
{
    std::cout << "INFO in LauCartesianCPCoeffSet::printParValues : Component \"" << this->name()
              << "\" has ";
    std::cout << "x = " << x_->value() << ",\t";
    std::cout << "y = " << y_->value() << ",\t";
    std::cout << "Delta x = " << deltaX_->value() << ",\t";
    std::cout << "Delta y = " << deltaY_->value() << "." << std::endl;
}
 
void LauCartesianCPCoeffSet::printTableHeading( std::ostream& stream ) const
{
    stream << "\\begin{tabular}{|l|c|c|c|c|}" << std::endl;
    stream << "\\hline" << std::endl;
    stream << "Component & Real Part & Imaginary Part & $\\Delta$ Real Part & $\\Delta$ Imaginary Part \\\\"
           << std::endl;
    stream << "\\hline" << std::endl;
}
 
void LauCartesianCPCoeffSet::printTableRow( std::ostream& stream ) const
{
    LauPrint print;
    TString resName = this->name();
    resName         = resName.ReplaceAll( "_", "\\_" );
    stream << resName << "  &  $";
    print.printFormat( stream, x_->value() );
    stream << " \\pm ";
    print.printFormat( stream, x_->error() );
    stream << "$  &  $";
    print.printFormat( stream, y_->value() );
    stream << " \\pm ";
    print.printFormat( stream, y_->error() );
    stream << "$  &  $";
    print.printFormat( stream, deltaX_->value() );
    stream << " \\pm ";
    print.printFormat( stream, deltaX_->error() );
    stream << "$  &  $";
    print.printFormat( stream, deltaY_->value() );
    stream << " \\pm ";
    print.printFormat( stream, deltaY_->error() );
    stream << "$ \\\\" << std::endl;
}
 
void LauCartesianCPCoeffSet::randomiseInitValues()
{
    if ( x_->fixed() == kFALSE ) {
        // Choose a value for "X" between -3.0 and 3.0
        Double_t value = LauAbsCoeffSet::getRandomiser()->Rndm() * 6.0 - 3.0;
        x_->initValue( value );
        x_->value( value );
    }
    if ( y_->fixed() == kFALSE ) {
        // Choose a value for "Y" between -3.0 and 3.0
        Double_t value = LauAbsCoeffSet::getRandomiser()->Rndm() * 6.0 - 3.0;
        y_->initValue( value );
        y_->value( value );
    }
    if ( deltaX_->fixed() == kFALSE && deltaX_->secondStage() == kFALSE ) {
        // Choose a value for "Delta X" between -0.5 and 0.5
        Double_t value = LauAbsCoeffSet::getRandomiser()->Rndm() * 1.0 - 0.5;
        deltaX_->initValue( value );
        deltaX_->value( value );
    }
    if ( deltaY_->fixed() == kFALSE && deltaY_->secondStage() == kFALSE ) {
        // Choose a value for "Delta Y" between -0.5 and 0.5
        Double_t value = LauAbsCoeffSet::getRandomiser()->Rndm() * 1.0 - 0.5;
        deltaY_->initValue( value );
        deltaY_->value( value );
    }
}
 
void LauCartesianCPCoeffSet::finaliseValues()
{
    // update the pulls
    x_->updatePull();
    y_->updatePull();
    deltaX_->updatePull();
    deltaY_->updatePull();
}
 
const LauComplex& LauCartesianCPCoeffSet::particleCoeff()
{
    particleCoeff_.setRealImagPart( x_->unblindValue() + deltaX_->unblindValue(),
                                    y_->unblindValue() + deltaY_->unblindValue() );
    return particleCoeff_;
}
 
const LauComplex& LauCartesianCPCoeffSet::antiparticleCoeff()
{
    antiparticleCoeff_.setRealImagPart( x_->unblindValue() - deltaX_->unblindValue(),
                                        y_->unblindValue() - deltaY_->unblindValue() );
    return antiparticleCoeff_;
}
 
void LauCartesianCPCoeffSet::setCoeffValues( const LauComplex& coeff,
                                             const LauComplex& coeffBar,
                                             Bool_t init )
{
    LauComplex average( coeff );
    average += coeffBar;
    average.rescale( 0.5 );
 
    Double_t xVal( average.re() );
    Double_t yVal( average.im() );
    Double_t deltaXVal( coeff.re() - average.re() );
    Double_t deltaYVal( coeff.im() - average.im() );
 
    x_->value( xVal );
    y_->value( yVal );
    deltaX_->value( deltaXVal );
    deltaY_->value( deltaYVal );
 
    if ( init ) {
        x_->genValue( xVal );
        y_->genValue( yVal );
        deltaX_->genValue( deltaXVal );
        deltaY_->genValue( deltaYVal );
 
        x_->initValue( xVal );
        y_->initValue( yVal );
        deltaX_->initValue( deltaXVal );
        deltaY_->initValue( deltaYVal );
    }
}
 
LauParameter LauCartesianCPCoeffSet::acp()
{
    // set the name
    TString parName( this->baseName() );
    parName += "_ACP";
    acp_.name( parName );
 
    // work out the ACP value
    Double_t numer = x_->value() * deltaX_->value() + y_->value() * deltaY_->value();
    Double_t denom = x_->value() * x_->value() + deltaX_->value() * deltaX_->value() +
                     y_->value() * y_->value() + deltaY_->value() * deltaY_->value();
    Double_t value = -2.0 * numer / denom;
 
    // is it fixed?
    Bool_t fixed = deltaX_->fixed() && deltaY_->fixed();
    acp_.fixed( fixed );
 
    // we can't work out the error without the covariance matrix
    Double_t error( 0.0 );
 
    // set the value and error
    acp_.valueAndErrors( value, error );
 
    return acp_;
}
 
LauAbsCoeffSet* LauCartesianCPCoeffSet::createClone( const TString& newName,
                                                     CloneOption cloneOption,
                                                     Double_t constFactor )
{
    LauAbsCoeffSet* clone( 0 );
    if ( cloneOption == All || cloneOption == TieRealPart || cloneOption == TieImagPart ||
         cloneOption == TieCPPars ) {
        clone = new LauCartesianCPCoeffSet( *this, cloneOption, constFactor );
        clone->name( newName );
    } else {
        std::cerr << "ERROR in LauCartesianCPCoeffSet::createClone : Invalid clone option"
                  << std::endl;
    }
    return clone;
}