[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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