[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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[1320] | 15 | #include <casa/Arrays/MaskArrLogi.h>
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[814] | 16 | #include <casa/Arrays/ArrayMath.h>
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[1320] | 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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[1320] | 44 | Vector<Bool> dummymsk(m.nelements(), True);
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| 45 | spectrum_.setData(dummy, dummymsk);
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| 46 | n_.setData(Vector<Float>(v.nelements(), 0.0), dummymsk);
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| 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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| 52 | totalweight *= addTsys(tsys);
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[1320] | 53 | // only add these if not everything masked
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| 54 | if ( !allEQ(m, False) ) {
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| 55 | totalweight *= addInterval(interval);
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| 56 | addTime(time);
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| 57 | }
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[814] | 58 | addSpectrum(v, m, totalweight);
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| 59 | initialized_ = True;
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| 60 | }
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| 61 |
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| 62 | void RowAccumulator::addSpectrum( const Vector< Float >& v,
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| 63 | const Vector< Bool >& m,
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| 64 | Float weight)
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| 65 | {
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| 66 | Float totalweight = weight;
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| 67 | MaskedArray<Float> data(v,m);
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| 68 | if ( weightType_ == asap::VAR ) {
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| 69 | if (m.nelements() == userMask_.nelements()) {
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| 70 | Float fac = 1.0/variance(data(userMask_));
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| 71 | totalweight *= fac;
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| 72 | } else {
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| 73 | Float fac = 1.0/variance(data);
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| 74 | totalweight *= fac;
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| 75 | }
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| 76 | }
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| 77 | data *= totalweight;
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| 78 | MaskedArray<Float> wadd(Vector<Float>(m.nelements(),totalweight), m);
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| 79 | weightSum_ += wadd;
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| 80 | spectrum_ += data;
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| 81 | const MaskedArray<Float> inc(Vector<Float>(m.nelements(),1.0), m);
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| 82 | n_ += inc;
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| 83 | }
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| 84 |
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| 85 | Float RowAccumulator::addTsys( const casa::Vector< casa::Float > & v )
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| 86 | {
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| 87 | // @fixme this assume tsys is the same for all channels
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| 88 |
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| 89 | Float w = 1.0;
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| 90 | tsysSum_ += v[0];
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| 91 | if ( weightType_ == asap::TSYS || weightType_ == asap::TINTSYS ) {
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| 92 | w /= (v[0]*v[0]);
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| 93 | }
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| 94 | return w;
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| 95 | }
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| 96 |
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| 97 | void asap::RowAccumulator::addTime( casa::Double t )
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| 98 | {
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| 99 | timeSum_ += t;
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| 100 | }
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| 101 |
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| 102 | Float asap::RowAccumulator::addInterval( casa::Double inter )
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| 103 | {
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| 104 | Float w = 1.0;
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| 105 | intervalSum_ += inter;
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| 106 | if ( weightType_ == asap::TINT || weightType_ == asap::TINTSYS ) {
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| 107 | w /= Float(inter);
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| 108 | }
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| 109 | return w;
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| 110 | }
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| 111 |
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| 112 | void asap::RowAccumulator::reset( )
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| 113 | {
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| 114 | initialized_ = False;
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| 115 | intervalSum_ = 0.0;
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| 116 | tsysSum_.resize();
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| 117 | timeSum_ = 0.0;
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| 118 | }
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| 119 |
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| 120 | casa::Vector< casa::Float > RowAccumulator::getSpectrum( ) const
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| 121 | {
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| 122 | return (spectrum_/weightSum_).getArray();
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| 123 | }
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| 124 |
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| 125 | casa::Double asap::RowAccumulator::getTime( ) const
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| 126 | {
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| 127 | return timeSum_/max(n_);
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| 128 | }
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| 129 |
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| 130 | casa::Double asap::RowAccumulator::getInterval( ) const
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| 131 | {
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| 132 | return intervalSum_;
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| 133 | }
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| 134 |
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| 135 | casa::Vector< casa::Bool > RowAccumulator::getMask( ) const
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| 136 | {
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| 137 | return spectrum_.getMask();
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| 138 | }
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| 139 |
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| 140 | casa::Vector< casa::Float > asap::RowAccumulator::getTsys( ) const
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| 141 | {
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[1320] | 142 | // @fixme this assumes tsys.nelements() == 1
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[814] | 143 | return tsysSum_/max(n_);
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| 144 | }
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| 145 |
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| 146 | void asap::RowAccumulator::setUserMask( const casa::Vector< casa::Bool > & m )
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| 147 | {
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| 148 | userMask_.resize();
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| 149 | userMask_ = m;
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| 150 | }
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