Line data Source code
1 : //# SpectralFit2.cc: Least Squares fitting of spectral elements: templated part 2 : //# Copyright (C) 2001,2002,2004 3 : //# Associated Universities, Inc. Washington DC, USA. 4 : //# 5 : //# This library is free software; you can redistribute it and/or modify it 6 : //# under the terms of the GNU Library General Public License as published by 7 : //# the Free Software Foundation; either version 2 of the License, or (at your 8 : //# option) any later version. 9 : //# 10 : //# This library is distributed in the hope that it will be useful, but WITHOUT 11 : //# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or 12 : //# FITNESS FOR A PARTICULAR PURPOSE. See the GNU Library General Public 13 : //# License for more details. 14 : //# 15 : //# You should have received a copy of the GNU Library General Public License 16 : //# along with this library; if not, write to the Free Software Foundation, 17 : //# Inc., 675 Massachusetts Ave, Cambridge, MA 02139, USA. 18 : //# 19 : //# Correspondence concerning AIPS++ should be addressed as follows: 20 : //# Internet email: casa-feedback@nrao.edu. 21 : //# Postal address: AIPS++ Project Office 22 : //# National Radio Astronomy Observatory 23 : //# 520 Edgemont Road 24 : //# Charlottesville, VA 22903-2475 USA 25 : //# 26 : //# $Id: SpectralFit2.tcc 19935 2007-02-27 05:07:40Z Malte.Marquarding $ 27 : 28 : //# Includes 29 : #include <components/SpectralComponents/SpectralFit.h> 30 : 31 : #include <components/SpectralComponents/CompiledSpectralElement.h> 32 : #include <components/SpectralComponents/GaussianSpectralElement.h> 33 : #include <components/SpectralComponents/LogTransformedPolynomialSpectralElement.h> 34 : #include <components/SpectralComponents/LorentzianSpectralElement.h> 35 : #include <components/SpectralComponents/PolynomialSpectralElement.h> 36 : #include <components/SpectralComponents/PowerLogPolynomialSpectralElement.h> 37 : #include <casacore/scimath/Fitting/NonLinearFitLM.h> 38 : #include <casacore/scimath/Functionals/CompiledFunction.h> 39 : #include <casacore/scimath/Functionals/CompoundFunction.h> 40 : #include <casacore/scimath/Functionals/CompoundParam.h> 41 : #include <casacore/scimath/Functionals/Gaussian1D.h> 42 : #include <casacore/scimath/Functionals/Lorentzian1D.h> 43 : #include <casacore/scimath/Functionals/Polynomial.h> 44 : #include <casacore/scimath/Functionals/PowerLogarithmicPolynomial.h> 45 : 46 : namespace casa { //# NAMESPACE CASA - BEGIN 47 : 48 : //# Templated member functions 49 : 50 : template <class MT> 51 0 : bool SpectralFit::fit(const casacore::Vector<MT> &y, 52 : const casacore::Vector<MT> &x, 53 : const casacore::Vector<casacore::Bool> *mask) { 54 0 : casacore::Vector<MT> sigma(x.nelements()); 55 0 : sigma = 1.0; 56 0 : return fit(sigma, y, x, mask); 57 0 : } 58 : 59 : template <class MT> 60 545637 : bool SpectralFit::fit( 61 : const casacore::Vector<MT> &sigma, const casacore::Vector<MT> &y, 62 : const casacore::Vector<MT> &x, const casacore::Vector<casacore::Bool> *mask 63 : ) { 64 545637 : casacore::NonLinearFitLM<MT> fitter; 65 545637 : iter_p = 0; 66 : // The functions to fit 67 545637 : casacore::CompoundFunction<casacore::AutoDiff<MT> > func; 68 545637 : casacore::uInt ncomps = slist_p.nelements(); 69 545637 : std::unique_ptr<casacore::Function<casacore::AutoDiff<MT> > > autodiff; 70 1107561 : for (casacore::uInt i=0; i<ncomps; i++) { 71 561924 : SpectralElement *elem = slist_p[i]; 72 561924 : casacore::uInt nparms = elem->getOrder(); 73 561924 : SpectralElement::Types type = slist_p[i]->getType(); 74 561924 : switch(type) { 75 32428 : case SpectralElement::GAUSSIAN: { 76 32428 : autodiff.reset(new casacore::Gaussian1D<casacore::AutoDiff<MT> >()); 77 : } 78 32428 : break; 79 529222 : case SpectralElement::POLYNOMIAL: { 80 529222 : PolynomialSpectralElement *x = dynamic_cast<PolynomialSpectralElement *>(elem); 81 529222 : autodiff.reset(new casacore::Polynomial<casacore::AutoDiff<MT> >(x->getDegree())); 82 : } 83 529222 : break; 84 26 : case SpectralElement::COMPILED: 85 : // Allow fall through; these use the same code 86 : case SpectralElement::GMULTIPLET: { 87 26 : CompiledSpectralElement *x = dynamic_cast<CompiledSpectralElement *>(elem); 88 26 : autodiff.reset(new casacore::CompiledFunction<casacore::AutoDiff<MT> >()); 89 26 : dynamic_cast<casacore::CompiledFunction<casacore::AutoDiff<MT> > *>( 90 26 : autodiff.get() 91 26 : )->setFunction(x->getFunction()); 92 : } 93 26 : break; 94 50 : case SpectralElement::LORENTZIAN: { 95 50 : autodiff.reset(new casacore::Lorentzian1D<casacore::AutoDiff<MT> >()); 96 : } 97 50 : break; 98 155 : case SpectralElement::POWERLOGPOLY: { 99 155 : casacore::Vector<casacore::Double> parms = elem->get(); 100 155 : autodiff.reset(new casacore::PowerLogarithmicPolynomial<casacore::AutoDiff<MT> > (nparms)); 101 155 : } 102 155 : break; 103 43 : case SpectralElement::LOGTRANSPOLY: { 104 43 : LogTransformedPolynomialSpectralElement *x = dynamic_cast< 105 : LogTransformedPolynomialSpectralElement* 106 43 : >(elem); 107 : // treated as a polynomial for fitting purposes. The caller is responsible for passing the ln's of 108 : // the ordinate and obscissa values to the fitter. 109 43 : autodiff.reset(new casacore::Polynomial<casacore::AutoDiff<MT> > (x->getDegree())); 110 : } 111 43 : break; 112 0 : default: 113 0 : throw casacore::AipsError("SpectralFit::fit(): Logic Error: Unhandled SpectralElement type"); 114 : } 115 561924 : casacore::Vector<casacore::Double> parms = elem->get(); 116 561924 : casacore::Vector<casacore::Bool> fixed = elem->fixed(); 117 1452105 : for (casacore::uInt j=0; j<nparms; j++) { 118 890181 : (*autodiff)[j] = casacore::AutoDiff<MT>(parms[j], nparms, j); 119 890181 : if (j == PCFSpectralElement::WIDTH && type == SpectralElement::GAUSSIAN) { 120 32428 : (*autodiff)[j] *= GaussianSpectralElement::SigmaToFWHM; 121 : } 122 890181 : autodiff->mask(j) = ! fixed[j]; 123 : } 124 561924 : func.addFunction(*autodiff); 125 : } 126 545637 : fitter.setFunction(func); 127 : // Max. number of iterations 128 545637 : fitter.setMaxIter(50+ ncomps*10); 129 : // Convergence criterium 130 545637 : fitter.setCriteria(0.001); 131 : // Fit 132 545637 : casacore::Vector<MT> sol; 133 545637 : casacore::Vector<MT> err; 134 545637 : sol = fitter.fit(x, y, sigma, mask); 135 545553 : err = fitter.errors(); 136 : // Number of iterations 137 545553 : iter_p = fitter.currentIteration(); 138 545553 : chiSq_p = fitter.getChi2(); 139 545553 : casacore::uInt j = 0; 140 545553 : casacore::Vector<casacore::Double> tmp, terr; 141 1107305 : for (casacore::uInt i=0; i<ncomps; i++) { 142 561755 : SpectralElement *element = slist_p[i]; 143 561755 : casacore::uInt nparms = element->getOrder(); 144 561755 : tmp.resize(nparms); 145 561755 : terr.resize(nparms); 146 561755 : SpectralElement::Types type = element->getType(); 147 1451429 : for (casacore::uInt k=0; k<nparms; k++) { 148 889674 : casacore::Bool convertGaussWidth = k==PCFSpectralElement::WIDTH && type == SpectralElement::GAUSSIAN; 149 889674 : tmp(k) = convertGaussWidth 150 889674 : ? sol(j) / GaussianSpectralElement::SigmaToFWHM 151 857415 : : sol(j); 152 889674 : terr(k) = convertGaussWidth 153 889674 : ? err(j) / GaussianSpectralElement::SigmaToFWHM 154 857415 : : err(j); 155 889674 : j++; 156 : }; 157 561755 : element->set(tmp); 158 561752 : element->setError(terr); 159 : } 160 1091100 : return fitter.converged(); 161 545991 : } 162 : 163 : 164 : } //# NAMESPACE CASA - END 165 :