[814] | 1 | //
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| 2 | // C++ Implementation: RowAccumulator
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| 3 | //
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| 4 | // Description:
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| 5 | //
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| 6 | //
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| 7 | // Author: Malte Marquarding <Malte.Marquarding@csiro.au>, (C) 2005
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| 8 | //
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| 9 | // Copyright: See COPYING file that comes with this distribution
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| 10 | //
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| 11 | //
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[2125] | 12 |
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[814] | 13 | #include <casa/iomanip.h>
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| 14 | #include <casa/Arrays/MaskArrMath.h>
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[1314] | 15 | #include <casa/Arrays/MaskArrLogi.h>
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[814] | 16 | #include <casa/Arrays/ArrayMath.h>
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[1314] | 17 | #include <casa/Arrays/ArrayLogical.h>
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[814] | 18 | #include "RowAccumulator.h"
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| 19 |
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| 20 | using namespace casa;
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| 21 | using namespace asap;
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| 22 |
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[2125] | 23 | RowAccumulator::RowAccumulator(WeightType wt) : weightType_(wt), initialized_(False)
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[814] | 24 | {
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| 25 | reset();
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| 26 | }
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| 27 |
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| 28 | RowAccumulator::~RowAccumulator()
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| 29 | {
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| 30 | }
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| 31 |
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| 32 |
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[2125] | 33 | void RowAccumulator::reset(const uInt size, const uInt tsysSize)
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[814] | 34 | {
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[2125] | 35 | Vector<Bool> m(size, True);
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| 36 |
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| 37 | spectrum_.setData(Vector<Float>(size, 0.0), Vector<Bool>(size, True));
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| 38 | spectrumNoMask_.setData(Vector<Float>(size, 0.0), Vector<Bool>(size, True));
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| 39 |
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| 40 | n_.setData(Vector<uInt>(size, 0), Vector<Bool>(size, True));
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| 41 | nNoMask_.setData(Vector<uInt>(size, 0), Vector<Bool>(size, True));
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| 42 |
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| 43 | weightSum_.setData(Vector<Float>(size, 0.0), Vector<Bool>(size, True));
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| 44 | weightSumNoMask_.setData(Vector<Float>(size, 0.0), Vector<Bool>(size, True));
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| 45 |
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| 46 | tsysSum_.resize(tsysSize); tsysSum_=0.0;
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| 47 | tsysSumNoMask_.resize(tsysSize); tsysSumNoMask_=0.0;
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| 48 |
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| 49 | intervalSum_ = 0.0;
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| 50 | intervalSumNoMask_ = 0.0;
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| 51 |
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| 52 | timeSum_ = 0.0;
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| 53 | timeSumNoMask_ = 0.0;
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[2135] | 54 |
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| 55 | initialized_ = False;
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[2125] | 56 | }
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| 57 |
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| 58 | void RowAccumulator::initialize(const uInt size, const uInt tsysSize)
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| 59 | {
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[2135] | 60 | reset(size, tsysSize);
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| 61 | initialized_ = True;
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[2125] | 62 | }
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| 63 |
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| 64 | void RowAccumulator::add(const Vector<Float>& v,
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| 65 | const Vector<Bool>& m,
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| 66 | const Vector<Float>& tsys,
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| 67 | const Double interval,
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| 68 | const Double time)
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| 69 | {
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| 70 | uInt size = v.nelements();
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| 71 | //if (size != m.nelements()) raiseError;
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| 72 | if (!initialized_) initialize(size, tsys.nelements());
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| 73 |
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| 74 | addSpectrum(v, m, tsys, interval, time);
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| 75 | }
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| 76 |
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| 77 | void RowAccumulator::addSpectrum(const Vector<Float>& v,
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| 78 | const Vector<Bool>& m,
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| 79 | const Vector<Float>& tsys,
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| 80 | const Double interval,
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| 81 | const Double time)
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| 82 | {
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[2580] | 83 | // doAddSpectrum(v, m, tsys, interval, time, False);
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| 84 | // doAddSpectrum(v, m, tsys, interval, time, True); // CAS-2776
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| 85 | doAddSpectrum2( v, m, tsys, interval, time ) ;
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[2125] | 86 | }
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| 87 |
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| 88 | void RowAccumulator::doAddSpectrum(const Vector<Float>& v,
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| 89 | const Vector<Bool>& m,
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| 90 | const Vector<Float>& tsys,
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| 91 | const Double interval,
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| 92 | const Double time,
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[2141] | 93 | const Bool inverseMask)
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[2125] | 94 | {
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| 95 | Vector<Float> vUse = v.copy();
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| 96 | Vector<Bool> mUse = m.copy();
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[2141] | 97 | if (inverseMask) mUse = !mUse;
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[2125] | 98 | MaskedArray<Float> vadd(vUse, mUse);
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[2141] | 99 | Float totalWeight = getTotalWeight(vadd, tsys, interval, time, inverseMask);
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[2125] | 100 | vadd *= totalWeight;
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| 101 | MaskedArray<Float> wadd(Vector<Float>(mUse.nelements(), totalWeight), mUse);
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| 102 | MaskedArray<uInt> inc(Vector<uInt>(mUse.nelements(), 1), mUse);
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| 103 |
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[2141] | 104 | if (inverseMask) {
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[2125] | 105 | spectrumNoMask_ += vadd;
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| 106 | weightSumNoMask_ += wadd;
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| 107 | nNoMask_ += inc;
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| 108 | } else {
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| 109 | spectrum_ += vadd;
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| 110 | weightSum_ += wadd;
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| 111 | n_ += inc;
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[814] | 112 | }
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| 113 | }
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| 114 |
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[2580] | 115 | void RowAccumulator::doAddSpectrum2(const Vector<Float>& v,
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| 116 | const Vector<Bool>& m,
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| 117 | const Vector<Float>& tsys,
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| 118 | const Double interval,
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| 119 | const Double time)
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| 120 | {
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| 121 | const MaskedArray<Float> vadd(v, m);
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| 122 | const MaskedArray<Float> vaddN(v, !m);
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| 123 | Float totalWeight = getTotalWeight( vadd, tsys, interval, time, False ) ;
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| 124 | Float totalWeightNoMask = getTotalWeight( vaddN, tsys, interval, time, True ) ;
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| 125 | // process spectrum with input mask and spectrum with inverted mask
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| 126 | // together
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| 127 | // prepare pointers
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| 128 | Bool vD, mD ;
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| 129 | const Float *v_p = v.getStorage( vD ) ;
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| 130 | const Float *v_wp = v_p ;
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| 131 | const Bool *m_p = m.getStorage( mD ) ;
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| 132 | const Bool *m_wp = m_p ;
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| 133 |
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| 134 | Bool spD, spND, wgtD, wgtND, nD, nND ;
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| 135 | Float *sp_p = spectrum_.getRWArrayStorage( spD ) ;
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| 136 | Float *sp_wp = sp_p ;
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| 137 | Float *wgt_p = weightSum_.getRWArrayStorage( wgtD ) ;
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| 138 | Float *wgt_wp = wgt_p ;
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| 139 | Float *spN_p = spectrumNoMask_.getRWArrayStorage( spND ) ;
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| 140 | Float *spN_wp = spN_p ;
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| 141 | Float *wgtN_p = weightSumNoMask_.getRWArrayStorage( wgtND ) ;
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| 142 | Float *wgtN_wp = wgtN_p ;
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| 143 | uInt *n_p = n_.getRWArrayStorage( nD ) ;
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| 144 | uInt *n_wp = n_p ;
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| 145 | uInt *nN_p = nNoMask_.getRWArrayStorage( nND ) ;
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| 146 | uInt *nN_wp = nN_p ;
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| 147 |
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| 148 | // actual processing
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| 149 | uInt len = m.nelements() ;
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| 150 | // loop over channels
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| 151 | for ( uInt i = 0 ; i < len ; i++ ) {
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| 152 | // masks for spectrum_ and spectrumNoMask_ are not needed since
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| 153 | // it is initialized as True for all channels and those are constant
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| 154 | if ( *m_wp ) {
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| 155 | // mask is True
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| 156 | // add v * totalWeight to spectrum_
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| 157 | // add totalWeight to weightSum_
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| 158 | // increment n_
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| 159 | *sp_wp += *v_wp * totalWeight ;
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| 160 | *wgt_wp += totalWeight ;
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| 161 | *n_wp += 1 ;
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| 162 | }
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| 163 | else {
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| 164 | // mask is False
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| 165 | // add v * totalWeightNoMask to spectrumNoMask_
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| 166 | // add totalWeightNoMask to weightSumNoMask_
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| 167 | // increment nNoMask_
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| 168 | *spN_wp += *v_wp * totalWeightNoMask ;
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| 169 | *wgtN_wp += totalWeightNoMask ;
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| 170 | *nN_wp += 1 ;
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| 171 | }
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| 172 | sp_wp++ ;
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| 173 | wgt_wp++ ;
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| 174 | n_wp++ ;
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| 175 | spN_wp++ ;
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| 176 | wgtN_wp++ ;
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| 177 | nN_wp++ ;
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| 178 | v_wp++ ;
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| 179 | m_wp++ ;
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| 180 | }
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| 181 |
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| 182 | // free storage
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| 183 | spectrum_.putArrayStorage( sp_p, spD ) ;
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| 184 | weightSum_.putArrayStorage( wgt_p, wgtD ) ;
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| 185 | spectrumNoMask_.putArrayStorage( spN_p, spND ) ;
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| 186 | weightSumNoMask_.putArrayStorage( wgtN_p, wgtND ) ;
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| 187 | n_.putArrayStorage( n_p, nD ) ;
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| 188 | nNoMask_.putArrayStorage( nN_p, nND ) ;
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| 189 |
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| 190 | v.freeStorage( v_p, vD ) ;
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| 191 | m.freeStorage( m_p, mD ) ;
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| 192 | }
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| 193 |
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[2125] | 194 | Float RowAccumulator::getTotalWeight(const MaskedArray<Float>& data,
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| 195 | const Vector<Float>& tsys,
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| 196 | const Double interval,
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| 197 | const Double time,
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[2141] | 198 | const Bool inverseMask)
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[814] | 199 | {
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[2125] | 200 | Float totalWeight = 1.0;
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| 201 | Vector<Bool> m = data.getMask();
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| 202 | if (!allEQ(m, False)) { // only add these if not everything masked
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[2141] | 203 | totalWeight *= addTsys(tsys, inverseMask);
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| 204 | totalWeight *= addInterval(interval, inverseMask);
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| 205 | addTime(time, inverseMask);
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[2125] | 206 |
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[2141] | 207 | if (weightType_ == W_VAR) {
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| 208 | Float fac = 1.0/variance(data);
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| 209 | if (!inverseMask && (m.nelements() == userMask_.nelements()))
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| 210 | fac = 1.0/variance(data(userMask_));
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[2125] | 211 |
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[2141] | 212 | totalWeight *= fac;
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| 213 | }
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[2125] | 214 | }
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| 215 |
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| 216 | return totalWeight;
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[814] | 217 | }
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| 218 |
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[2141] | 219 | Float RowAccumulator::addTsys(const Vector<Float>& v, Bool inverseMask)
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[814] | 220 | {
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| 221 | // @fixme this assume tsys is the same for all channels
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| 222 |
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| 223 | Float w = 1.0;
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[2141] | 224 | if (inverseMask) {
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[2125] | 225 | tsysSumNoMask_ += v[0];
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| 226 | } else {
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| 227 | tsysSum_ += v[0];
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| 228 | }
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| 229 | if ( weightType_ == W_TSYS || weightType_ == W_TINTSYS ) {
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[814] | 230 | w /= (v[0]*v[0]);
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| 231 | }
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| 232 | return w;
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| 233 | }
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| 234 |
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[2141] | 235 | void RowAccumulator::addTime(Double t, Bool inverseMask)
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[814] | 236 | {
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[2141] | 237 | if (inverseMask) {
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[2125] | 238 | timeSumNoMask_ += t;
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| 239 | } else {
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| 240 | timeSum_ += t;
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| 241 | }
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[814] | 242 | }
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| 243 |
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[2141] | 244 | Float RowAccumulator::addInterval(Double inter, Bool inverseMask)
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[814] | 245 | {
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| 246 | Float w = 1.0;
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[2141] | 247 | if (inverseMask) {
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[2125] | 248 | intervalSumNoMask_ += inter;
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| 249 | } else {
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| 250 | intervalSum_ += inter;
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| 251 | }
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| 252 | if (weightType_ == W_TINT || weightType_ == W_TINTSYS) {
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[814] | 253 | w /= Float(inter);
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| 254 | }
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| 255 | return w;
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| 256 | }
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| 257 |
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[2125] | 258 | Vector<Float> RowAccumulator::getSpectrum() const
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[814] | 259 | {
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| 260 | return (spectrum_/weightSum_).getArray();
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| 261 | }
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| 262 |
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[2125] | 263 | Double RowAccumulator::getTime() const
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[814] | 264 | {
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[2125] | 265 | return timeSum_/Float(max(n_));
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[814] | 266 | }
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| 267 |
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[2125] | 268 | Double RowAccumulator::getInterval() const
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[814] | 269 | {
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| 270 | return intervalSum_;
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| 271 | }
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| 272 |
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[2125] | 273 | Vector<Bool> RowAccumulator::getMask() const
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[814] | 274 | {
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[1352] | 275 | // Return the "total" mask - False where no points have been accumulated.
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[1398] | 276 | return (n_.getArray() > uInt(0));
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[814] | 277 | }
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| 278 |
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[2125] | 279 | Vector<Float> RowAccumulator::getTsys() const
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[814] | 280 | {
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[1314] | 281 | // @fixme this assumes tsys.nelements() == 1
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[1398] | 282 | return tsysSum_/Float(max(n_));
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[814] | 283 | }
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| 284 |
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[2125] | 285 | void RowAccumulator::setUserMask(const Vector<Bool>& m)
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[814] | 286 | {
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| 287 | userMask_.resize();
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| 288 | userMask_ = m;
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| 289 | }
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[1819] | 290 |
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| 291 | // Added by TT check the state of RowAccumulator
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[2125] | 292 | Bool RowAccumulator::state() const
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[1819] | 293 | {
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| 294 | return initialized_;
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| 295 | }
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| 296 |
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[2125] | 297 | void RowAccumulator::replaceNaN()
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| 298 | {
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| 299 | Vector<Float> v = spectrum_.getArray();
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| 300 | Vector<Float> w = weightSum_.getArray();
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| 301 | Vector<Float> vRef = spectrumNoMask_.getArray();
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| 302 | Vector<Float> wRef = weightSumNoMask_.getArray();
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| 303 |
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| 304 | for (uInt i = 0; i < v.size(); ++i) {
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| 305 | if (w[i] == 0.0) {
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| 306 | v[i] = vRef[i];
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| 307 | w[i] = wRef[i];
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| 308 | }
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| 309 | }
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| 310 |
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| 311 | spectrum_.setData(v, Vector<Bool>(v.nelements(), True));
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| 312 | weightSum_.setData(w, Vector<Bool>(w.nelements(), True));
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| 313 | }
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