[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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| 12 | #include <casa/iomanip.h>
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| 13 |
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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 |
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| 21 | using namespace casa;
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| 22 | using namespace asap;
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| 23 |
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| 24 | RowAccumulator::RowAccumulator(WeightType wt) :
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| 25 | weightType_(wt),
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| 26 | initialized_(False)
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| 27 | {
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| 28 | reset();
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| 29 | }
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| 30 |
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| 31 | RowAccumulator::~RowAccumulator()
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| 32 | {
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| 33 | }
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| 34 |
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| 35 |
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| 36 | void RowAccumulator::add( const Vector< Float >& v,
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| 37 | const Vector< Bool >& m,
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| 38 | const Vector< Float >& tsys,
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| 39 | Double interval,
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| 40 | Double time )
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| 41 | {
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| 42 | if (!initialized_) {
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| 43 | Vector<Float> dummy(v.nelements(), 0.0);
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[1314] | 44 | Vector<Bool> dummymsk(m.nelements(), True);
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| 45 | spectrum_.setData(dummy, dummymsk);
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[1398] | 46 | n_.setData(Vector<uInt>(v.nelements(), 0), dummymsk);
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[1314] | 47 | weightSum_.setData(Vector<Float>(v.nelements(), 0.0), dummymsk);
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[814] | 48 | tsysSum_.resize(tsys.nelements()); tsysSum_=0.0;
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| 49 | }
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| 50 | // add spectrum related weights, so far it is variance only.
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| 51 | Float totalweight = 1.0;
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[1414] | 52 |
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[1314] | 53 | // only add these if not everything masked
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| 54 | if ( !allEQ(m, False) ) {
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[1414] | 55 | totalweight *= addTsys(tsys);
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[1314] | 56 | totalweight *= addInterval(interval);
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| 57 | addTime(time);
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| 58 | }
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[814] | 59 | addSpectrum(v, m, totalweight);
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| 60 | initialized_ = True;
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| 61 | }
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| 62 |
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| 63 | void RowAccumulator::addSpectrum( const Vector< Float >& v,
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| 64 | const Vector< Bool >& m,
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| 65 | Float weight)
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| 66 | {
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| 67 | Float totalweight = weight;
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| 68 | MaskedArray<Float> data(v,m);
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[1569] | 69 | if ( weightType_ == asap::W_VAR ) {
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[814] | 70 | if (m.nelements() == userMask_.nelements()) {
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| 71 | Float fac = 1.0/variance(data(userMask_));
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| 72 | totalweight *= fac;
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| 73 | } else {
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| 74 | Float fac = 1.0/variance(data);
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| 75 | totalweight *= fac;
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| 76 | }
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| 77 | }
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| 78 | data *= totalweight;
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| 79 | MaskedArray<Float> wadd(Vector<Float>(m.nelements(),totalweight), m);
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| 80 | weightSum_ += wadd;
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| 81 | spectrum_ += data;
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[1398] | 82 | const MaskedArray<uInt> inc(Vector<uInt>(m.nelements(),1), m);
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[814] | 83 | n_ += inc;
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| 84 | }
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| 85 |
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| 86 | Float RowAccumulator::addTsys( const casa::Vector< casa::Float > & v )
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| 87 | {
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| 88 | // @fixme this assume tsys is the same for all channels
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| 89 |
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| 90 | Float w = 1.0;
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| 91 | tsysSum_ += v[0];
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[1569] | 92 | if ( weightType_ == asap::W_TSYS || weightType_ == asap::W_TINTSYS ) {
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[814] | 93 | w /= (v[0]*v[0]);
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| 94 | }
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| 95 | return w;
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| 96 | }
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| 97 |
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| 98 | void asap::RowAccumulator::addTime( casa::Double t )
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| 99 | {
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| 100 | timeSum_ += t;
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| 101 | }
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| 102 |
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| 103 | Float asap::RowAccumulator::addInterval( casa::Double inter )
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| 104 | {
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| 105 | Float w = 1.0;
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| 106 | intervalSum_ += inter;
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[1569] | 107 | if ( weightType_ == asap::W_TINT || weightType_ == asap::W_TINTSYS ) {
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[814] | 108 | w /= Float(inter);
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| 109 | }
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| 110 | return w;
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| 111 | }
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| 112 |
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| 113 | void asap::RowAccumulator::reset( )
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| 114 | {
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| 115 | initialized_ = False;
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| 116 | intervalSum_ = 0.0;
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| 117 | tsysSum_.resize();
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| 118 | timeSum_ = 0.0;
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| 119 | }
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| 120 |
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| 121 | casa::Vector< casa::Float > RowAccumulator::getSpectrum( ) const
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| 122 | {
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| 123 | return (spectrum_/weightSum_).getArray();
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| 124 | }
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| 125 |
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| 126 | casa::Double asap::RowAccumulator::getTime( ) const
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| 127 | {
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[1398] | 128 | uInt n = max(n_);
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| 129 | return timeSum_/Float(n);
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[814] | 130 | }
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| 131 |
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| 132 | casa::Double asap::RowAccumulator::getInterval( ) const
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| 133 | {
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| 134 | return intervalSum_;
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| 135 | }
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| 136 |
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| 137 | casa::Vector< casa::Bool > RowAccumulator::getMask( ) const
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| 138 | {
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[1352] | 139 | // Return the "total" mask - False where no points have been accumulated.
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[1398] | 140 | return (n_.getArray() > uInt(0));
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[814] | 141 | }
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| 142 |
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| 143 | casa::Vector< casa::Float > asap::RowAccumulator::getTsys( ) const
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| 144 | {
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[1314] | 145 | // @fixme this assumes tsys.nelements() == 1
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[1398] | 146 | return tsysSum_/Float(max(n_));
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[814] | 147 | }
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| 148 |
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| 149 | void asap::RowAccumulator::setUserMask( const casa::Vector< casa::Bool > & m )
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| 150 | {
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| 151 | userMask_.resize();
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| 152 | userMask_ = m;
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| 153 | }
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[1779] | 154 |
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| 155 | // Added by TT check the state of RowAccumulator
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| 156 | casa::Bool RowAccumulator::state() const
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| 157 | {
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| 158 | return initialized_;
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| 159 | }
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| 160 |
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