[2980] | 1 | //# tSpectralFit.cc -- test SpectralElement; SpectralEstimate and SpectralFit
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| 2 | //# Copyright (C) 2001,2002,2004
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| 3 | //# Associated Universities, Inc. Washington DC, USA.
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| 4 | //#
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| 5 | //# This program is free software; you can redistribute it and/or modify it
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| 6 | //# under the terms of the GNU General Public License as published by the Free
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| 7 | //# Software Foundation; either version 2 of the License, or (at your option)
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| 8 | //# any later version.
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| 9 | //#
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| 10 | //# This program is distributed in the hope that it will be useful, but WITHOUT
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| 11 | //# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
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| 12 | //# FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for
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| 13 | //# more details.
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| 14 | //#
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| 15 | //# You should have received a copy of the GNU General Public License along
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| 16 | //# with this program; if not, write to the Free Software Foundation, Inc.,
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| 17 | //# 675 Massachusetts Ave, Cambridge, MA 02139, USA.
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| 18 | //#
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| 19 | //# Correspondence concerning AIPS++ should be addressed as follows:
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| 20 | //# Internet email: aips2-request@nrao.edu.
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| 21 | //# Postal address: AIPS++ Project Office
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| 22 | //# National Radio Astronomy Observatory
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| 23 | //# 520 Edgemont Road
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| 24 | //# Charlottesville, VA 22903-2475 USA
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| 25 | //#
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| 26 | //# $Id: tSpectralFit.cc 21451 2014-06-10 07:48:08Z gervandiepen $
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| 27 |
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| 28 | //# Includes
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| 29 | #include <casa/aips.h>
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| 30 | #include <casa/Arrays/MaskArrLogi.h>
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| 31 | #include <casa/Arrays/ArrayMath.h>
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| 32 | #include <casa/Arrays/ArrayIO.h>
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| 33 | #include <casa/Arrays/Vector.h>
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| 34 | #include <casa/BasicMath/Random.h>
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| 35 | #include <casa/Containers/Record.h>
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| 36 | #include <casa/Exceptions/Error.h>
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| 37 | #include <casa/Utilities/Assert.h>
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| 38 | #include <components/SpectralComponents/SpectralEstimate.h>
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| 39 | #include <components/SpectralComponents/SpectralFit.h>
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| 40 | #include <components/SpectralComponents/SpectralList.h>
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| 41 | #include <casa/iostream.h>
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| 42 |
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| 43 | #include <casa/namespace.h>
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| 44 |
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| 45 | int main() {
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| 46 | // RecordInterface
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| 47 | {
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| 48 | cout << "Test RecordInterface" << endl;
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| 49 | cout << "---------------------------------------------------" << endl;
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| 50 | SpectralList list;
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| 51 | GaussianSpectralElement gEl(1.0, 10.0, 2.0);
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| 52 | PolynomialSpectralElement pEl(1);
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| 53 | list.add (gEl);
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| 54 | list.add(pEl);
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| 55 |
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| 56 | cout << "toRecord" << endl;
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| 57 | Record rec;
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| 58 | list.toRecord(rec);
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| 59 | cout << "fromRecord" << endl;
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| 60 | SpectralList list2;
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| 61 | String errMsg;
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| 62 | if (!list2.fromRecord(errMsg, rec)) {
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| 63 | throw(AipsError(errMsg));
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| 64 | }
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| 65 | Double tol(1.0e-6);
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| 66 | AlwaysAssert(list.nelements()==list.nelements(),AipsError);
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| 67 | for (uInt i=0; i<list.nelements(); i++) {
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| 68 | AlwaysAssert (list[i]->getType()==list2[i]->getType(), AipsError);
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| 69 | Vector<Double> p1,p2;
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| 70 | list[i]->get(p1);
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| 71 | list2[i]->get(p2);
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| 72 | AlwaysAssert(allNear(p1,p2,tol),AipsError);
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| 73 | }
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| 74 | cout << endl;
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| 75 | }
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| 76 |
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| 77 | // get estimates
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| 78 | {
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| 79 | cout << "Test SpectralEstimate" << endl;
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| 80 | cout << "---------------------------------------------------" << endl;
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| 81 | const Int NPAR = 9;
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| 82 | const Int NPTS = 100;
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| 83 | uInt q = 2;
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| 84 | Int r;
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| 85 | Int n = NPTS;
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| 86 | Int np = NPAR;
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| 87 | Double rms = 0.5;
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| 88 | Double cutoff= 1.0;
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| 89 | Double minsig = 0.5;
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| 90 | Double par[NPAR];
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| 91 | Vector<Float> y(NPTS);
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| 92 | Vector<Float> xy(NPTS);
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| 93 |
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| 94 | par[0] = 5.0; par[1] = 45.0; par[2] = 1.1;
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| 95 | par[3] = 4.0; par[4] = 50.0; par[5] = 1.1;
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| 96 | par[6] = 6.0; par[7] = 55.0; par[8] = 1.1;
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| 97 | for (Int i = 0; i<n; i++) {
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| 98 | y(i) = 0.0;
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| 99 | xy(i) = i;
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| 100 | for (Int j = 0; j < np; j += 3) {
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| 101 | if (par[j] != 0.0) {
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| 102 | Double a = par[j];
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| 103 | Double c = (par[j+1] - Double(i));
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| 104 | Double s = par[j+2];
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| 105 | y(i) += a * exp( -0.5 * c / s * c / s );
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| 106 | };
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| 107 | };
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| 108 | };
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| 109 | cout << "Made spectrum with components: " << endl;
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| 110 | for (uInt i=0; i<3; i++) {
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| 111 | cout << GaussianSpectralElement(
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| 112 | par[3*i+0], par[3*i+1], par[3*i+2]) << endl;
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| 113 | };
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| 114 | {
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| 115 | SpectralEstimate est(rms, cutoff, minsig);
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| 116 | cout << "*** n " << n << endl;
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| 117 | Vector<Float> deriv(n);
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| 118 | const SpectralList &slist = est.estimate(y, &deriv);
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| 119 | cout << "*** y " << y << endl;
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| 120 | r = slist.nelements();
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| 121 | cout << "Found (using rms, cutoff, minsig, q): (" <<
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| 122 | rms << ", " << cutoff << ", " << minsig << ", " << q << ") " <<
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| 123 | r << " estimates" << endl;
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| 124 | for (Int i=0; i<r; i++) {
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| 125 | cout << "Estimate " << i << ": " << *slist[i] << endl;
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| 126 | };
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| 127 | Vector<Float> res(NPTS);
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| 128 | res = y;
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| 129 | cout << "*** res " << res << endl;
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| 130 | slist.residual(res);
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| 131 | cout << "Minimum, Maximum residuals: " << min(res) << ", " <<
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| 132 | max(res) << endl;
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| 133 | for (Int j=0; j<r; j++) {
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| 134 | for (Int i = 0; i<n; i++) {
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| 135 | res(i) = slist[j]->operator()(i);
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| 136 | }
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| 137 | }
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| 138 | }
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| 139 | {
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| 140 | SpectralEstimate est(rms, cutoff, minsig);
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| 141 | est.setWindowing(True);
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| 142 | const SpectralList &slist = est.estimate(xy, y);
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| 143 | r = slist.nelements();
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| 144 | cout << "Window (using rms, cutoff, minsig, q): (" <<
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| 145 | rms << ", " << cutoff << ", " << minsig << ", " << q << ") " <<
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| 146 | r << " estimates" << endl;
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| 147 | for (Int i=0; i<r; i++) {
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| 148 | cout << "Estimate " << i << ": " << *slist[i] << endl;
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| 149 | };
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| 150 | }
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| 151 | {
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| 152 | q = 1;
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| 153 | SpectralEstimate est(rms, cutoff, minsig);
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| 154 | est.setQ(q);
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| 155 | const SpectralList &slist = est.estimate(xy, y);
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| 156 | r = slist.nelements();
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| 157 | cout << "Found (using rms, cutoff, minsig, q): (" <<
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| 158 | rms << ", " << cutoff << ", " << minsig << ", " << q << ") " <<
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| 159 | r << " estimates" << endl;
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| 160 | for (Int i=0; i<r; i++) {
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| 161 | cout << "Estimate " << i << ": " << *slist[i] << endl;
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| 162 | };
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| 163 | }
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| 164 | {
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| 165 | q = 1;
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| 166 | rms = cutoff = minsig = 0.0;
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| 167 | SpectralEstimate est(rms, cutoff, minsig);
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| 168 | est.setQ(q);
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| 169 | const SpectralList &slist = est.estimate(xy, y);
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| 170 | r = slist.nelements();
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| 171 | cout << "Found (using rms, cutoff, minsig, q): (" <<
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| 172 | rms << ", " << cutoff << ", " << minsig << ", " << q << ") " <<
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| 173 | r << " estimates" << endl;
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| 174 | for (Int i=0; i<r; i++) {
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| 175 | cout << "Estimate " << i << ": " << *slist[i] << endl;
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| 176 | };
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| 177 | }
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| 178 | {
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| 179 | q = 2;
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| 180 | rms = cutoff = minsig = 0.0;
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| 181 | SpectralEstimate est(rms, cutoff, minsig);
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| 182 | est.setQ(q);
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| 183 | const SpectralList &slist = est.estimate(xy, y);
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| 184 | r = slist.nelements();
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| 185 | cout << "Found (using rms, cutoff, minsig, q): (" <<
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| 186 | rms << ", " << cutoff << ", " << minsig << ", " << q << ") " <<
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| 187 | r << " estimates" << endl;
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| 188 | for (Int i=0; i<r; i++) {
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| 189 | cout << "Estimate " << i << ": " << *slist[i] << endl;
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| 190 | };
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| 191 | }
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| 192 | }
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| 193 |
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| 194 | // test fitter
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| 195 | {
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| 196 | // Number of components
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| 197 | const uInt ncomp = 4;
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| 198 | // Component data
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| 199 | Double ampl[ncomp] = { 1, 2.5, 0.5, 5 };
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| 200 | Double center[ncomp] = { 0.25, 0.5, 0.75, 0.3 };
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| 201 | Double sigma[ncomp] = { 2, 4, 8, 3 };
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| 202 | MLCG genit;
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| 203 | Normal noise(&genit, 0.0, 0.1);
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| 204 | Vector<Double> freq(1024);
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| 205 | Vector<Float> ffreq(1024);
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| 206 | for (uInt i=0; i<1024; i++) {
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| 207 | freq(i) = 1400 + i*10.0/1024.0;
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| 208 | ffreq(i) = freq(i);
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| 209 | };
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| 210 |
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| 211 | try {
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| 212 | cout << "Test SpectralFit" << endl;
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| 213 | cout << "---------------------------------------------------" << endl;
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| 214 |
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| 215 | GaussianSpectralElement el[ncomp] = {
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| 216 | GaussianSpectralElement(ampl[0],
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| 217 | center[0]*10.+1400., sigma[0]*10./1024.),
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| 218 | GaussianSpectralElement(ampl[1],
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| 219 | center[1]*10.+1400., sigma[1]*10./1024.),
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| 220 | GaussianSpectralElement(ampl[2],
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| 221 | center[2]*10.+1400., sigma[2]*10./1024.),
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| 222 | GaussianSpectralElement(ampl[3],
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| 223 | center[3]*10.+1400., sigma[3]*10./1024.) };
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| 224 |
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| 225 | cout << "Spectral elements: " << endl;
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| 226 | for (uInt j=0; j<ncomp; j++) cout << el[j] << endl;
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| 227 | cout << "---------------------------------------------------" << endl;
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| 228 |
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| 229 | Vector<Double> dat(1024);
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| 230 | Vector<Float> fdat(1024);
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| 231 | for (uInt i=0; i<1024; i++) {
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| 232 | dat(i) = 0;
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| 233 | for (uInt j=0; j<ncomp; j++) {
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| 234 | dat(i) += el[j].getAmpl()*exp(-(freq(i)-el[j].getCenter())*
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| 235 | (freq(i)-el[j].getCenter())*log(16.0)/
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| 236 | el[j].getSigma()/
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| 237 | el[j].getSigma());
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| 238 | };
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| 239 | dat(i) += noise();
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| 240 | fdat(i) = dat(i);
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| 241 | };
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| 242 | cout << "Data for frequencies " << freq(300) << " - " << freq(315) <<
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| 243 | endl;
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| 244 | for (uInt i=300; i<316; i++) cout << freq(i) << ": " << dat(i) << endl;
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| 245 | cout << "---------------------------------------------------" << endl;
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| 246 |
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| 247 | cout << "Specify fitter on the 4 gaussians:" << endl;
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| 248 | SpectralFit fitter;
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| 249 | for (uInt i=0; i<ncomp; i++) fitter.addFitElement(el[i]);
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| 250 | for (uInt i=0; i<fitter.list().nelements(); i++) {
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| 251 | cout << *fitter.list()[i] << endl;
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| 252 | };
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| 253 |
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| 254 | cout << "---------------------------------------------------" << endl;
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| 255 | cout << "Execute the fitter, can do (1:Y): " <<
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| 256 | fitter.fit(dat,freq) << endl;
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| 257 | cout << "The results: " << endl;
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| 258 | Vector<Double> tmp;
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| 259 | for (uInt i=0; i<fitter.list().nelements(); i++) {
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| 260 | cout << *fitter.list()[i];
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| 261 | fitter.list()[i]->get(tmp);
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| 262 | cout << "Parameters: " << tmp << endl;
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| 263 | fitter.list()[i]->getError(tmp);
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| 264 | cout << "Errors: " << tmp << endl << endl;
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| 265 | };
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| 266 | cout << ">>>" << endl;
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| 267 | cout << "Number of iterations: " << fitter.nIterations() << endl;
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| 268 | cout << "<<<" << endl;
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| 269 | cout << "---------------------------------------------------" << endl;
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| 270 |
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| 271 | {
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| 272 | el[3].fixAmpl();
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| 273 | SpectralFit fitter;
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| 274 | for (uInt i=0; i<ncomp; i++) fitter.addFitElement(el[i]);
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| 275 | for (uInt i=0; i<fitter.list().nelements(); i++) {
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| 276 | cout << *fitter.list()[i] << endl;
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| 277 | };
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| 278 |
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| 279 | cout << "---------------------------------------------------" << endl;
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| 280 | cout << "Execute the fitter again with a fixed ampl, can do (1:Y): " <<
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| 281 | fitter.fit(dat,freq) << endl;
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| 282 | cout << "The results: " << endl;
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| 283 | Vector<Double> tmp;
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| 284 | for (uInt i=0; i<fitter.list().nelements(); i++) {
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| 285 | cout << *fitter.list()[i];
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| 286 | fitter.list()[i]->get(tmp);
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| 287 | cout << "Parameters: " << tmp << endl;
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| 288 | fitter.list()[i]->getError(tmp);
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| 289 | cout << "Errors: " << tmp << endl << endl;
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| 290 | };
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| 291 | cout << ">>>" << endl;
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| 292 | cout << "Number of iterations: " << fitter.nIterations() << endl;
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| 293 | cout << "<<<" << endl;
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| 294 | el[3].fixAmpl(False);
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| 295 | }
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| 296 | cout << "---------------------------------------------------" << endl;
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| 297 |
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| 298 | cout << "Different start values: " << endl;
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| 299 | for (uInt i=0; i<ncomp; i++) {
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| 300 | el[i].setAmpl(0.9*el[i].getAmpl());
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| 301 | el[i].setSigma(0.95*el[i].getSigma());
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| 302 | fitter.setFitElement(i, el[i]);
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| 303 | };
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| 304 | for (uInt i=0; i<fitter.list().nelements(); i++) {
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| 305 | cout << *fitter.list()[i] << endl;
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| 306 | };
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| 307 | cout << "Execute the fitter, can do (1:Y): " <<
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| 308 | fitter.fit(dat, freq) << endl;
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| 309 | cout << "The results: " << endl;
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| 310 | for (uInt i=0; i<fitter.list().nelements(); i++) {
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| 311 | cout << *fitter.list()[i] << endl;
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| 312 | };
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| 313 | cout << ">>>" << endl;
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| 314 | cout << "Number of iterations: " << fitter.nIterations() << endl;
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| 315 | cout << "<<<" << endl;
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| 316 |
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| 317 | cout << "---------------------------------------------------" << endl;
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| 318 | cout << "Differences: " << endl;
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| 319 | Vector<Double> xdat(1024);
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| 320 | Vector<Float> fxdat(1024);
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| 321 | Double mx(-1e6);
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| 322 | Double mn(1e6);
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| 323 | Double avg(0);
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| 324 | Double sg(0);
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| 325 | xdat = dat;
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| 326 | fitter.list().residual(xdat, freq);
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| 327 | convertArray(fxdat, xdat);
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| 328 | mx = max(xdat);
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| 329 | mn = min(xdat);
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| 330 | avg = sum(xdat);
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| 331 | sg = sum(xdat*xdat);
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| 332 | avg /= 1024.;
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| 333 | sg = sqrt(sg/1024./1023.);
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| 334 | cout << "Min difference: " << mn <<
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| 335 | ", max: " << mx << ", average: " << avg <<
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| 336 | ", sigma: " << sg << endl;
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| 337 | cout << "---------------------------------------------------" << endl;
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| 338 |
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| 339 | cout << "---------------------------------------------------" << endl;
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| 340 | cout << "Estimates: " << endl;
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| 341 | SpectralEstimate mest(0.1, 0.5);
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| 342 | mest.setQ(5);
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| 343 | const SpectralList &slist = mest.estimate(fdat);
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| 344 | Int mr = slist.nelements();
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| 345 | cout << "Found " << mr << " estimates" << endl;
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| 346 | for (Int i=0; i<mr; i++) {
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| 347 | cout << "Estimate " << i << ": " << *slist[i] << endl;
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| 348 | };
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| 349 | fxdat= fdat;
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| 350 | slist.residual(fxdat);
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| 351 | for (Int j=0; j<mr; j++) {
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| 352 | slist.evaluate(fxdat);
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| 353 | };
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| 354 |
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| 355 | cout << "---------------------------------------------------" << endl;
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| 356 | cout << "Limited number of estimates: " << endl;
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| 357 | {
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| 358 | SpectralEstimate mest(0.1, 0.5, 0.0, 4);
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| 359 | mest.setQ(5);
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| 360 | const SpectralList &slist = mest.estimate(fdat);
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| 361 | Int mr = slist.nelements();
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| 362 | cout << "Found " << mr << " estimates" << endl;
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| 363 | for (Int i=0; i<mr; i++) {
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| 364 | cout << "Estimate " << i << ": " << *slist[i] << endl;
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| 365 | };
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| 366 | fxdat= fdat;
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| 367 | slist.residual(fxdat);
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| 368 | for (Int j=0; j<mr; j++) {
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| 369 | slist.evaluate(fxdat);
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| 370 | };
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| 371 | }
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| 372 | cout << "---------------------------------------------------" << endl;
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| 373 |
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| 374 | } catch (AipsError x) {
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| 375 | cout << x.getMesg() << endl;
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| 376 | return 1;
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| 377 | };
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| 378 | }
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| 379 |
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| 380 | return 0;
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| 381 | }
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