1 | //#---------------------------------------------------------------------------
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2 | //# SDMath.cc: A collection of single dish mathematical operations
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3 | //#---------------------------------------------------------------------------
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4 | //# Copyright (C) 2004
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5 | //# ATNF
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6 | //#
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7 | //# This program is free software; you can redistribute it and/or modify it
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8 | //# under the terms of the GNU General Public License as published by the Free
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9 | //# Software Foundation; either version 2 of the License, or (at your option)
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10 | //# any later version.
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11 | //#
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12 | //# This program is distributed in the hope that it will be useful, but
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13 | //# WITHOUT ANY WARRANTY; without even the implied warranty of
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14 | //# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General
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15 | //# Public License for more details.
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16 | //#
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17 | //# You should have received a copy of the GNU General Public License along
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18 | //# with this program; if not, write to the Free Software Foundation, Inc.,
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19 | //# 675 Massachusetts Ave, Cambridge, MA 02139, USA.
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20 | //#
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21 | //# Correspondence concerning this software should be addressed as follows:
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22 | //# Internet email: Malte.Marquarding@csiro.au
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23 | //# Postal address: Malte Marquarding,
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24 | //# Australia Telescope National Facility,
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25 | //# P.O. Box 76,
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26 | //# Epping, NSW, 2121,
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27 | //# AUSTRALIA
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28 | //#
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29 | //# $Id:
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30 | //#---------------------------------------------------------------------------
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31 | #include <vector>
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32 |
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33 | #include <casa/aips.h>
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34 | #include <casa/BasicSL/String.h>
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35 | #include <casa/Arrays/IPosition.h>
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36 | #include <casa/Arrays/Array.h>
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37 | #include <casa/Arrays/ArrayIter.h>
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38 | #include <casa/Arrays/VectorIter.h>
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39 | #include <casa/Arrays/ArrayMath.h>
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40 | #include <casa/Arrays/ArrayLogical.h>
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41 | #include <casa/Arrays/MaskedArray.h>
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42 | #include <casa/Arrays/MaskArrMath.h>
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43 | #include <casa/Arrays/MaskArrLogi.h>
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44 | #include <casa/BasicMath/Math.h>
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45 | #include <casa/Containers/Block.h>
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46 | #include <casa/Exceptions.h>
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47 | #include <casa/Quanta/Quantum.h>
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48 | #include <casa/Quanta/Unit.h>
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49 | #include <casa/Quanta/MVEpoch.h>
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50 | #include <casa/Quanta/QC.h>
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51 | #include <casa/Quanta/MVTime.h>
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52 | #include <casa/Utilities/Assert.h>
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53 |
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54 | #include <coordinates/Coordinates/SpectralCoordinate.h>
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55 | #include <coordinates/Coordinates/CoordinateSystem.h>
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56 | #include <coordinates/Coordinates/CoordinateUtil.h>
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57 | #include <coordinates/Coordinates/VelocityAligner.h>
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58 |
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59 | #include <lattices/Lattices/LatticeUtilities.h>
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60 | #include <lattices/Lattices/RebinLattice.h>
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61 |
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62 | #include <measures/Measures/MEpoch.h>
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63 | #include <measures/Measures/MDirection.h>
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64 | #include <measures/Measures/MPosition.h>
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65 |
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66 | #include <scimath/Mathematics/VectorKernel.h>
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67 | #include <scimath/Mathematics/Convolver.h>
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68 | #include <scimath/Mathematics/InterpolateArray1D.h>
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69 | #include <scimath/Functionals/Polynomial.h>
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70 |
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71 | #include <tables/Tables/Table.h>
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72 | #include <tables/Tables/ScalarColumn.h>
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73 | #include <tables/Tables/ArrayColumn.h>
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74 | #include <tables/Tables/ReadAsciiTable.h>
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75 |
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76 | #include "MathUtils.h"
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77 | #include "SDDefs.h"
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78 | #include "SDContainer.h"
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79 | #include "SDMemTable.h"
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80 |
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81 | #include "SDMath.h"
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82 |
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83 | using namespace casa;
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84 | using namespace asap;
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85 |
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86 |
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87 | SDMath::SDMath()
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88 | {;}
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89 |
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90 | SDMath::SDMath(const SDMath& other)
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91 | {
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92 |
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93 | // No state
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94 |
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95 | }
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96 |
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97 | SDMath& SDMath::operator=(const SDMath& other)
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98 | {
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99 | if (this != &other) {
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100 | // No state
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101 | }
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102 | return *this;
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103 | }
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104 |
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105 | SDMath::~SDMath()
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106 | {;}
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107 |
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108 |
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109 |
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110 | SDMemTable* SDMath::velocityAlignment (const SDMemTable& in, const String& refTime) const
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111 | {
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112 |
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113 | // Get velocity/frame info from Table
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114 |
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115 | std::vector<std::string> info = in.getCoordInfo();
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116 | String velUnit(info[0]);
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117 | if (velUnit.length()==0) {
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118 | throw(AipsError("You have not set a velocity abcissa unit - use function set_unit"));
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119 | } else {
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120 | Unit velUnitU(velUnit);
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121 | if (velUnitU!=Unit(String("m/s"))) {
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122 | throw(AipsError("Specified abcissa unit is not consistent with km/s - use function set_unit"));
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123 | }
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124 | }
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125 | //
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126 | String dopplerStr(info[2]);
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127 | String velSystemStr(info[1]);
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128 | String velBaseSystemStr(info[3]);
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129 | if (velBaseSystemStr==velSystemStr) {
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130 | throw(AipsError("You have not set a velocity frame different from the initial - use function set_freqframe"));
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131 | }
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132 | //
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133 | MFrequency::Types velSystem;
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134 | MFrequency::getType(velSystem, velSystemStr);
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135 | MDoppler::Types doppler;
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136 | MDoppler::getType(doppler, dopplerStr);
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137 |
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138 | // Do it
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139 |
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140 | return velocityAlign (in, velSystem, velUnit, doppler, refTime);
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141 | }
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142 |
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143 |
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144 |
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145 | CountedPtr<SDMemTable> SDMath::average(const Block<CountedPtr<SDMemTable> >& in,
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146 | const Vector<Bool>& mask, Bool scanAv,
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147 | const String& weightStr, Bool alignVelocity) const
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148 | //
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149 | // Weighted averaging of spectra from one or more Tables.
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150 | //
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151 | {
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152 |
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153 | // Convert weight type
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154 |
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155 | WeightType wtType = NONE;
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156 | convertWeightString(wtType, weightStr);
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157 |
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158 | // Create output Table by cloning from the first table
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159 |
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160 | SDMemTable* pTabOut = new SDMemTable(*in[0],True);
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161 |
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162 | // Setup
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163 |
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164 | IPosition shp = in[0]->rowAsMaskedArray(0).shape(); // Must not change
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165 | Array<Float> arr(shp);
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166 | Array<Bool> barr(shp);
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167 | const Bool useMask = (mask.nelements() == shp(asap::ChanAxis));
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168 |
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169 | // Columns from Tables
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170 |
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171 | ROArrayColumn<Float> tSysCol;
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172 | ROScalarColumn<Double> mjdCol;
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173 | ROScalarColumn<String> srcNameCol;
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174 | ROScalarColumn<Double> intCol;
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175 | ROArrayColumn<uInt> fqIDCol;
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176 |
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177 | // Create accumulation MaskedArray. We accumulate for each channel,if,pol,beam
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178 | // Note that the mask of the accumulation array will ALWAYS remain ALL True.
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179 | // The MA is only used so that when data which is masked Bad is added to it,
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180 | // that data does not contribute.
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181 |
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182 | Array<Float> zero(shp);
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183 | zero=0.0;
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184 | Array<Bool> good(shp);
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185 | good = True;
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186 | MaskedArray<Float> sum(zero,good);
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187 |
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188 | // Counter arrays
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189 |
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190 | Array<Float> nPts(shp); // Number of points
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191 | nPts = 0.0;
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192 | Array<Float> nInc(shp); // Increment
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193 | nInc = 1.0;
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194 |
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195 | // Create accumulation Array for variance. We accumulate for
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196 | // each if,pol,beam, but average over channel. So we need
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197 | // a shape with one less axis dropping channels.
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198 |
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199 | const uInt nAxesSub = shp.nelements() - 1;
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200 | IPosition shp2(nAxesSub);
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201 | for (uInt i=0,j=0; i<(nAxesSub+1); i++) {
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202 | if (i!=asap::ChanAxis) {
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203 | shp2(j) = shp(i);
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204 | j++;
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205 | }
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206 | }
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207 | Array<Float> sumSq(shp2);
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208 | sumSq = 0.0;
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209 | IPosition pos2(nAxesSub,0); // For indexing
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210 |
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211 | // Time-related accumulators
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212 |
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213 | Double time;
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214 | Double timeSum = 0.0;
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215 | Double intSum = 0.0;
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216 | Double interval = 0.0;
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217 |
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218 | // To get the right shape for the Tsys accumulator we need to
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219 | // access a column from the first table. The shape of this
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220 | // array must not change
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221 |
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222 | Array<Float> tSysSum;
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223 | {
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224 | const Table& tabIn = in[0]->table();
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225 | tSysCol.attach(tabIn,"TSYS");
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226 | tSysSum.resize(tSysCol.shape(0));
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227 | }
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228 | tSysSum =0.0;
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229 | Array<Float> tSys;
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230 |
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231 | // Scan and row tracking
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232 |
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233 | Int oldScanID = 0;
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234 | Int outScanID = 0;
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235 | Int scanID = 0;
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236 | Int rowStart = 0;
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237 | Int nAccum = 0;
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238 | Int tableStart = 0;
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239 |
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240 | // Source and FreqID
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241 |
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242 | String sourceName, oldSourceName, sourceNameStart;
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243 | Vector<uInt> freqID, freqIDStart, oldFreqID;
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244 |
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245 | // Loop over tables
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246 |
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247 | Float fac = 1.0;
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248 | const uInt nTables = in.nelements();
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249 | for (uInt iTab=0; iTab<nTables; iTab++) {
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250 |
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251 | // Should check that the frequency tables don't change if doing VelocityAlignment
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252 |
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253 | // Attach columns to Table
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254 |
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255 | const Table& tabIn = in[iTab]->table();
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256 | tSysCol.attach(tabIn, "TSYS");
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257 | mjdCol.attach(tabIn, "TIME");
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258 | srcNameCol.attach(tabIn, "SRCNAME");
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259 | intCol.attach(tabIn, "INTERVAL");
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260 | fqIDCol.attach(tabIn, "FREQID");
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261 |
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262 | // Loop over rows in Table
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263 |
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264 | const uInt nRows = in[iTab]->nRow();
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265 | for (uInt iRow=0; iRow<nRows; iRow++) {
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266 |
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267 | // Check conformance
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268 |
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269 | IPosition shp2 = in[iTab]->rowAsMaskedArray(iRow).shape();
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270 | if (!shp.isEqual(shp2)) {
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271 | throw (AipsError("Shapes for all rows must be the same"));
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272 | }
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273 |
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274 | // If we are not doing scan averages, make checks for source and
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275 | // frequency setup and warn if averaging across them
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276 |
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277 | // Get copy of Scan Container for this row
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278 |
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279 | SDContainer sc = in[iTab]->getSDContainer(iRow);
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280 | scanID = sc.scanid;
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281 |
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282 | // Get quantities from columns
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283 |
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284 | srcNameCol.getScalar(iRow, sourceName);
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285 | mjdCol.get(iRow, time);
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286 | tSysCol.get(iRow, tSys);
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287 | intCol.get(iRow, interval);
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288 | fqIDCol.get(iRow, freqID);
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289 |
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290 | // Initialize first source and freqID
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291 |
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292 | if (iRow==0 && iTab==0) {
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293 | sourceNameStart = sourceName;
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294 | freqIDStart = freqID;
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295 | }
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296 |
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297 | // If we are doing scan averages, see if we are at the end of an
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298 | // accumulation period (scan). We must check soutce names too,
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299 | // since we might have two tables with one scan each but different
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300 | // source names; we shouldn't average different sources together
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301 |
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302 | if (scanAv && ( (scanID != oldScanID) ||
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303 | (iRow==0 && iTab>0 && sourceName!=oldSourceName))) {
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304 |
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305 | // Normalize data in 'sum' accumulation array according to weighting scheme
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306 |
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307 | normalize(sum, sumSq, nPts, wtType, asap::ChanAxis, nAxesSub);
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308 |
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309 | // Fill scan container. The source and freqID come from the
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310 | // first row of the first table that went into this average (
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311 | // should be the same for all rows in the scan average)
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312 |
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313 | Float nR(nAccum);
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314 | fillSDC(sc, sum.getMask(), sum.getArray(), tSysSum/nR, outScanID,
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315 | timeSum/nR, intSum, sourceNameStart, freqIDStart);
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316 |
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317 | // Write container out to Table
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318 |
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319 | pTabOut->putSDContainer(sc);
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320 |
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321 | // Reset accumulators
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322 |
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323 | sum = 0.0;
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324 | sumSq = 0.0;
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325 | nAccum = 0;
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326 | //
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327 | tSysSum =0.0;
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328 | timeSum = 0.0;
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329 | intSum = 0.0;
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330 | nPts = 0.0;
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331 |
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332 | // Increment
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333 |
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334 | rowStart = iRow; // First row for next accumulation
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335 | tableStart = iTab; // First table for next accumulation
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336 | sourceNameStart = sourceName; // First source name for next accumulation
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337 | freqIDStart = freqID; // First FreqID for next accumulation
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338 | //
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339 | oldScanID = scanID;
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340 | outScanID += 1; // Scan ID for next accumulation period
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341 | }
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342 |
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343 | // Accumulate
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344 |
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345 | accumulate(timeSum, intSum, nAccum, sum, sumSq, nPts, tSysSum,
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346 | tSys, nInc, mask, time, interval, in, iTab, iRow, asap::ChanAxis,
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347 | nAxesSub, useMask, wtType);
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348 | //
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349 | oldSourceName = sourceName;
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350 | oldFreqID = freqID;
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351 | }
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352 | }
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353 |
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354 | // OK at this point we have accumulation data which is either
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355 | // - accumulated from all tables into one row
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356 | // or
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357 | // - accumulated from the last scan average
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358 | //
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359 | // Normalize data in 'sum' accumulation array according to weighting scheme
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360 | normalize(sum, sumSq, nPts, wtType, asap::ChanAxis, nAxesSub);
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361 |
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362 | // Create and fill container. The container we clone will be from
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363 | // the last Table and the first row that went into the current
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364 | // accumulation. It probably doesn't matter that much really...
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365 |
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366 | Float nR(nAccum);
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367 | SDContainer sc = in[tableStart]->getSDContainer(rowStart);
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368 | fillSDC(sc, sum.getMask(), sum.getArray(), tSysSum/nR, outScanID,
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369 | timeSum/nR, intSum, sourceNameStart, freqIDStart);
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370 | pTabOut->putSDContainer(sc);
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371 | //
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372 | return CountedPtr<SDMemTable>(pTabOut);
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373 | }
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374 |
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375 |
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376 |
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377 | CountedPtr<SDMemTable> SDMath::binaryOperate (const CountedPtr<SDMemTable>& left,
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378 | const CountedPtr<SDMemTable>& right,
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379 | const String& op, Bool preserve) const
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380 | {
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381 |
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382 | // Check operator
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383 |
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384 | String op2(op);
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385 | op2.upcase();
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386 | uInt what = 0;
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387 | if (op2=="ADD") {
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388 | what = 0;
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389 | } else if (op2=="SUB") {
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390 | what = 1;
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391 | } else if (op2=="MUL") {
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392 | what = 2;
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393 | } else if (op2=="DIV") {
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394 | what = 3;
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395 | } else if (op2=="QUOTIENT") {
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396 | what = 4;
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397 | } else {
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398 | throw( AipsError("Unrecognized operation"));
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399 | }
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400 |
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401 | // Check rows
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402 |
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403 | const uInt nRowLeft = left->nRow();
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404 | const uInt nRowRight = right->nRow();
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405 | Bool ok = (nRowRight==1&&nRowLeft>0) ||
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406 | (nRowRight>=1&&nRowLeft==nRowRight);
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407 | if (!ok) {
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408 | throw (AipsError("The right Scan Table can have one row or the same number of rows as the left Scan Table"));
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409 | }
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410 |
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411 | // Input Tables
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412 |
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413 | const Table& tLeft = left->table();
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414 | const Table& tRight = right->table();
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415 |
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416 | // TSys columns
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417 |
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418 | ROArrayColumn<Float> tSysLeft(tLeft, "TSYS");
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419 | ROArrayColumn<Float> tSysRight(tRight, "TSYS");
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420 |
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421 | // First row for right
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422 |
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423 | Array<Float> tSysLeftArr, tSysRightArr;
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424 | tSysRight.get(0, tSysRightArr);
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425 | MaskedArray<Float>* pMRight = new MaskedArray<Float>(right->rowAsMaskedArray(0));
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426 | IPosition shpRight = pMRight->shape();
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427 |
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428 | // Output Table cloned from left
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429 |
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430 | SDMemTable* pTabOut = new SDMemTable(*left, True);
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431 |
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432 | // Loop over rows
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433 |
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434 | for (uInt i=0; i<nRowLeft; i++) {
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435 |
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436 | // Get data
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437 |
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438 | MaskedArray<Float> mLeft(left->rowAsMaskedArray(i));
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439 | IPosition shpLeft = mLeft.shape();
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440 | tSysLeft.get(i, tSysLeftArr);
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441 | //
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442 | if (nRowRight>1) {
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443 | delete pMRight;
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444 | pMRight = new MaskedArray<Float>(right->rowAsMaskedArray(i));
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445 | shpRight = pMRight->shape();
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446 | tSysRight.get(i, tSysRightArr);
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447 | }
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448 | //
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449 | if (!shpRight.isEqual(shpLeft)) {
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450 | throw(AipsError("left and right scan tables are not conformant"));
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451 | }
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452 | if (!tSysRightArr.shape().isEqual(tSysRightArr.shape())) {
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453 | throw(AipsError("left and right Tsys data are not conformant"));
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454 | }
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455 | if (!shpRight.isEqual(tSysRightArr.shape())) {
|
---|
456 | throw(AipsError("left and right scan tables are not conformant"));
|
---|
457 | }
|
---|
458 |
|
---|
459 | // Make container
|
---|
460 |
|
---|
461 | SDContainer sc = left->getSDContainer(i);
|
---|
462 |
|
---|
463 | // Operate on data and TSys
|
---|
464 |
|
---|
465 | if (what==0) {
|
---|
466 | MaskedArray<Float> tmp = mLeft + *pMRight;
|
---|
467 | putDataInSDC(sc, tmp.getArray(), tmp.getMask());
|
---|
468 | sc.putTsys(tSysLeftArr+tSysRightArr);
|
---|
469 | } else if (what==1) {
|
---|
470 | MaskedArray<Float> tmp = mLeft - *pMRight;
|
---|
471 | putDataInSDC(sc, tmp.getArray(), tmp.getMask());
|
---|
472 | sc.putTsys(tSysLeftArr-tSysRightArr);
|
---|
473 | } else if (what==2) {
|
---|
474 | MaskedArray<Float> tmp = mLeft * *pMRight;
|
---|
475 | putDataInSDC(sc, tmp.getArray(), tmp.getMask());
|
---|
476 | sc.putTsys(tSysLeftArr*tSysRightArr);
|
---|
477 | } else if (what==3) {
|
---|
478 | MaskedArray<Float> tmp = mLeft / *pMRight;
|
---|
479 | putDataInSDC(sc, tmp.getArray(), tmp.getMask());
|
---|
480 | sc.putTsys(tSysLeftArr/tSysRightArr);
|
---|
481 | } else if (what==4) {
|
---|
482 | if (preserve) {
|
---|
483 | MaskedArray<Float> tmp = (tSysRightArr * mLeft / *pMRight) - tSysRightArr;
|
---|
484 | putDataInSDC(sc, tmp.getArray(), tmp.getMask());
|
---|
485 | } else {
|
---|
486 | MaskedArray<Float> tmp = (tSysRightArr * mLeft / *pMRight) - tSysLeftArr;
|
---|
487 | putDataInSDC(sc, tmp.getArray(), tmp.getMask());
|
---|
488 | }
|
---|
489 | sc.putTsys(tSysRightArr);
|
---|
490 | }
|
---|
491 |
|
---|
492 | // Put new row in output Table
|
---|
493 |
|
---|
494 | pTabOut->putSDContainer(sc);
|
---|
495 | }
|
---|
496 | if (pMRight) delete pMRight;
|
---|
497 | //
|
---|
498 | return CountedPtr<SDMemTable>(pTabOut);
|
---|
499 | }
|
---|
500 |
|
---|
501 |
|
---|
502 |
|
---|
503 | std::vector<float> SDMath::statistic(const CountedPtr<SDMemTable>& in,
|
---|
504 | const Vector<Bool>& mask,
|
---|
505 | const String& which, Int row) const
|
---|
506 | //
|
---|
507 | // Perhaps iteration over pol/beam/if should be in here
|
---|
508 | // and inside the nrow iteration ?
|
---|
509 | //
|
---|
510 | {
|
---|
511 | const uInt nRow = in->nRow();
|
---|
512 |
|
---|
513 | // Specify cursor location
|
---|
514 |
|
---|
515 | IPosition start, end;
|
---|
516 | getCursorLocation(start, end, *in);
|
---|
517 |
|
---|
518 | // Loop over rows
|
---|
519 |
|
---|
520 | const uInt nEl = mask.nelements();
|
---|
521 | uInt iStart = 0;
|
---|
522 | uInt iEnd = in->nRow()-1;
|
---|
523 | //
|
---|
524 | if (row>=0) {
|
---|
525 | iStart = row;
|
---|
526 | iEnd = row;
|
---|
527 | }
|
---|
528 | //
|
---|
529 | std::vector<float> result(iEnd-iStart+1);
|
---|
530 | for (uInt ii=iStart; ii <= iEnd; ++ii) {
|
---|
531 |
|
---|
532 | // Get row and deconstruct
|
---|
533 |
|
---|
534 | MaskedArray<Float> marr(in->rowAsMaskedArray(ii));
|
---|
535 | Array<Float> arr = marr.getArray();
|
---|
536 | Array<Bool> barr = marr.getMask();
|
---|
537 |
|
---|
538 | // Access desired piece of data
|
---|
539 |
|
---|
540 | Array<Float> v((arr(start,end)).nonDegenerate());
|
---|
541 | Array<Bool> m((barr(start,end)).nonDegenerate());
|
---|
542 |
|
---|
543 | // Apply OTF mask
|
---|
544 |
|
---|
545 | MaskedArray<Float> tmp;
|
---|
546 | if (m.nelements()==nEl) {
|
---|
547 | tmp.setData(v,m&&mask);
|
---|
548 | } else {
|
---|
549 | tmp.setData(v,m);
|
---|
550 | }
|
---|
551 |
|
---|
552 | // Get statistic
|
---|
553 |
|
---|
554 | result[ii-iStart] = mathutil::statistics(which, tmp);
|
---|
555 | }
|
---|
556 | //
|
---|
557 | return result;
|
---|
558 | }
|
---|
559 |
|
---|
560 |
|
---|
561 | SDMemTable* SDMath::bin(const SDMemTable& in, Int width) const
|
---|
562 | {
|
---|
563 | SDHeader sh = in.getSDHeader();
|
---|
564 | SDMemTable* pTabOut = new SDMemTable(in, True);
|
---|
565 |
|
---|
566 | // Bin up SpectralCoordinates
|
---|
567 |
|
---|
568 | IPosition factors(1);
|
---|
569 | factors(0) = width;
|
---|
570 | for (uInt j=0; j<in.nCoordinates(); ++j) {
|
---|
571 | CoordinateSystem cSys;
|
---|
572 | cSys.addCoordinate(in.getSpectralCoordinate(j));
|
---|
573 | CoordinateSystem cSysBin =
|
---|
574 | CoordinateUtil::makeBinnedCoordinateSystem(factors, cSys, False);
|
---|
575 | //
|
---|
576 | SpectralCoordinate sCBin = cSysBin.spectralCoordinate(0);
|
---|
577 | pTabOut->setCoordinate(sCBin, j);
|
---|
578 | }
|
---|
579 |
|
---|
580 | // Use RebinLattice to find shape
|
---|
581 |
|
---|
582 | IPosition shapeIn(1,sh.nchan);
|
---|
583 | IPosition shapeOut = RebinLattice<Float>::rebinShape(shapeIn, factors);
|
---|
584 | sh.nchan = shapeOut(0);
|
---|
585 | pTabOut->putSDHeader(sh);
|
---|
586 |
|
---|
587 |
|
---|
588 | // Loop over rows and bin along channel axis
|
---|
589 |
|
---|
590 | for (uInt i=0; i < in.nRow(); ++i) {
|
---|
591 | SDContainer sc = in.getSDContainer(i);
|
---|
592 | //
|
---|
593 | Array<Float> tSys(sc.getTsys()); // Get it out before sc changes shape
|
---|
594 |
|
---|
595 | // Bin up spectrum
|
---|
596 |
|
---|
597 | MaskedArray<Float> marr(in.rowAsMaskedArray(i));
|
---|
598 | MaskedArray<Float> marrout;
|
---|
599 | LatticeUtilities::bin(marrout, marr, asap::ChanAxis, width);
|
---|
600 |
|
---|
601 | // Put back the binned data and flags
|
---|
602 |
|
---|
603 | IPosition ip2 = marrout.shape();
|
---|
604 | sc.resize(ip2);
|
---|
605 | //
|
---|
606 | putDataInSDC(sc, marrout.getArray(), marrout.getMask());
|
---|
607 |
|
---|
608 | // Bin up Tsys.
|
---|
609 |
|
---|
610 | Array<Bool> allGood(tSys.shape(),True);
|
---|
611 | MaskedArray<Float> tSysIn(tSys, allGood, True);
|
---|
612 | //
|
---|
613 | MaskedArray<Float> tSysOut;
|
---|
614 | LatticeUtilities::bin(tSysOut, tSysIn, asap::ChanAxis, width);
|
---|
615 | sc.putTsys(tSysOut.getArray());
|
---|
616 | //
|
---|
617 | pTabOut->putSDContainer(sc);
|
---|
618 | }
|
---|
619 | return pTabOut;
|
---|
620 | }
|
---|
621 |
|
---|
622 | SDMemTable* SDMath::unaryOperate(const SDMemTable& in, Float val, Bool doAll,
|
---|
623 | uInt what) const
|
---|
624 | //
|
---|
625 | // what = 0 Multiply
|
---|
626 | // 1 Add
|
---|
627 | {
|
---|
628 | SDMemTable* pOut = new SDMemTable(in,False);
|
---|
629 | const Table& tOut = pOut->table();
|
---|
630 | ArrayColumn<Float> spec(tOut,"SPECTRA");
|
---|
631 | //
|
---|
632 | if (doAll) {
|
---|
633 | for (uInt i=0; i < tOut.nrow(); i++) {
|
---|
634 | MaskedArray<Float> dataIn(pOut->rowAsMaskedArray(i));
|
---|
635 | //
|
---|
636 | if (what==0) {
|
---|
637 | dataIn *= val;
|
---|
638 | } else if (what==1) {
|
---|
639 | dataIn += val;
|
---|
640 | }
|
---|
641 | //
|
---|
642 | spec.put(i, dataIn.getArray());
|
---|
643 | }
|
---|
644 | } else {
|
---|
645 |
|
---|
646 | // Get cursor location
|
---|
647 |
|
---|
648 | IPosition start, end;
|
---|
649 | getCursorLocation(start, end, in);
|
---|
650 | //
|
---|
651 | for (uInt i=0; i < tOut.nrow(); i++) {
|
---|
652 | MaskedArray<Float> dataIn(pOut->rowAsMaskedArray(i));
|
---|
653 | MaskedArray<Float> dataIn2 = dataIn(start,end); // Reference
|
---|
654 | //
|
---|
655 | if (what==0) {
|
---|
656 | dataIn2 *= val;
|
---|
657 | } else if (what==1) {
|
---|
658 | dataIn2 += val;
|
---|
659 | }
|
---|
660 | //
|
---|
661 | spec.put(i, dataIn.getArray());
|
---|
662 | }
|
---|
663 | }
|
---|
664 | //
|
---|
665 | return pOut;
|
---|
666 | }
|
---|
667 |
|
---|
668 |
|
---|
669 |
|
---|
670 | SDMemTable* SDMath::averagePol(const SDMemTable& in, const Vector<Bool>& mask) const
|
---|
671 | //
|
---|
672 | // Average all polarizations together, weighted by variance
|
---|
673 | //
|
---|
674 | {
|
---|
675 | // WeightType wtType = NONE;
|
---|
676 | // convertWeightString(wtType, weight);
|
---|
677 |
|
---|
678 | const uInt nRows = in.nRow();
|
---|
679 |
|
---|
680 | // Create output Table and reshape number of polarizations
|
---|
681 |
|
---|
682 | Bool clear=True;
|
---|
683 | SDMemTable* pTabOut = new SDMemTable(in, clear);
|
---|
684 | SDHeader header = pTabOut->getSDHeader();
|
---|
685 | header.npol = 1;
|
---|
686 | pTabOut->putSDHeader(header);
|
---|
687 |
|
---|
688 | // Shape of input and output data
|
---|
689 |
|
---|
690 | const IPosition& shapeIn = in.rowAsMaskedArray(0u, False).shape();
|
---|
691 | IPosition shapeOut(shapeIn);
|
---|
692 | shapeOut(asap::PolAxis) = 1; // Average all polarizations
|
---|
693 | //
|
---|
694 | const uInt nChan = shapeIn(asap::ChanAxis);
|
---|
695 | const IPosition vecShapeOut(4,1,1,1,nChan); // A multi-dim form of a Vector shape
|
---|
696 | IPosition start(4), end(4);
|
---|
697 |
|
---|
698 | // Output arrays
|
---|
699 |
|
---|
700 | Array<Float> outData(shapeOut, 0.0);
|
---|
701 | Array<Bool> outMask(shapeOut, True);
|
---|
702 | const IPosition axes(2, asap::PolAxis, asap::ChanAxis); // pol-channel plane
|
---|
703 | //
|
---|
704 | const Bool useMask = (mask.nelements() == shapeIn(asap::ChanAxis));
|
---|
705 |
|
---|
706 | // Loop over rows
|
---|
707 |
|
---|
708 | for (uInt iRow=0; iRow<nRows; iRow++) {
|
---|
709 |
|
---|
710 | // Get data for this row
|
---|
711 |
|
---|
712 | MaskedArray<Float> marr(in.rowAsMaskedArray(iRow));
|
---|
713 | Array<Float>& arr = marr.getRWArray();
|
---|
714 | const Array<Bool>& barr = marr.getMask();
|
---|
715 |
|
---|
716 | // Make iterators to iterate by pol-channel planes
|
---|
717 |
|
---|
718 | ReadOnlyArrayIterator<Float> itDataPlane(arr, axes);
|
---|
719 | ReadOnlyArrayIterator<Bool> itMaskPlane(barr, axes);
|
---|
720 |
|
---|
721 | // Accumulations
|
---|
722 |
|
---|
723 | Float fac = 1.0;
|
---|
724 | Vector<Float> vecSum(nChan,0.0);
|
---|
725 |
|
---|
726 | // Iterate through data by pol-channel planes
|
---|
727 |
|
---|
728 | while (!itDataPlane.pastEnd()) {
|
---|
729 |
|
---|
730 | // Iterate through plane by polarization and accumulate Vectors
|
---|
731 |
|
---|
732 | Vector<Float> t1(nChan); t1 = 0.0;
|
---|
733 | Vector<Bool> t2(nChan); t2 = True;
|
---|
734 | MaskedArray<Float> vecSum(t1,t2);
|
---|
735 | Float varSum = 0.0;
|
---|
736 | {
|
---|
737 | ReadOnlyVectorIterator<Float> itDataVec(itDataPlane.array(), 1);
|
---|
738 | ReadOnlyVectorIterator<Bool> itMaskVec(itMaskPlane.array(), 1);
|
---|
739 | while (!itDataVec.pastEnd()) {
|
---|
740 |
|
---|
741 | // Create MA of data & mask (optionally including OTF mask) and get variance
|
---|
742 |
|
---|
743 | if (useMask) {
|
---|
744 | const MaskedArray<Float> spec(itDataVec.vector(),mask&&itMaskVec.vector());
|
---|
745 | fac = 1.0 / variance(spec);
|
---|
746 | } else {
|
---|
747 | const MaskedArray<Float> spec(itDataVec.vector(),itMaskVec.vector());
|
---|
748 | fac = 1.0 / variance(spec);
|
---|
749 | }
|
---|
750 |
|
---|
751 | // Normalize spectrum (without OTF mask) and accumulate
|
---|
752 |
|
---|
753 | const MaskedArray<Float> spec(fac*itDataVec.vector(), itMaskVec.vector());
|
---|
754 | vecSum += spec;
|
---|
755 | varSum += fac;
|
---|
756 |
|
---|
757 | // Next
|
---|
758 |
|
---|
759 | itDataVec.next();
|
---|
760 | itMaskVec.next();
|
---|
761 | }
|
---|
762 | }
|
---|
763 |
|
---|
764 | // Normalize summed spectrum
|
---|
765 |
|
---|
766 | vecSum /= varSum;
|
---|
767 |
|
---|
768 | // FInd position in input data array. We are iterating by pol-channel
|
---|
769 | // plane so all that will change is beam and IF and that's what we want.
|
---|
770 |
|
---|
771 | IPosition pos = itDataPlane.pos();
|
---|
772 |
|
---|
773 | // Write out data. This is a bit messy. We have to reform the Vector
|
---|
774 | // accumulator into an Array of shape (1,1,1,nChan)
|
---|
775 |
|
---|
776 | start = pos;
|
---|
777 | end = pos;
|
---|
778 | end(asap::ChanAxis) = nChan-1;
|
---|
779 | outData(start,end) = vecSum.getArray().reform(vecShapeOut);
|
---|
780 | outMask(start,end) = vecSum.getMask().reform(vecShapeOut);
|
---|
781 |
|
---|
782 | // Step to next beam/IF combination
|
---|
783 |
|
---|
784 | itDataPlane.next();
|
---|
785 | itMaskPlane.next();
|
---|
786 | }
|
---|
787 |
|
---|
788 | // Generate output container and write it to output table
|
---|
789 |
|
---|
790 | SDContainer sc = in.getSDContainer();
|
---|
791 | sc.resize(shapeOut);
|
---|
792 | //
|
---|
793 | putDataInSDC(sc, outData, outMask);
|
---|
794 | pTabOut->putSDContainer(sc);
|
---|
795 | }
|
---|
796 | //
|
---|
797 | return pTabOut;
|
---|
798 | }
|
---|
799 |
|
---|
800 |
|
---|
801 | SDMemTable* SDMath::smooth(const SDMemTable& in,
|
---|
802 | const casa::String& kernelType,
|
---|
803 | casa::Float width, Bool doAll) const
|
---|
804 | {
|
---|
805 |
|
---|
806 | // Number of channels
|
---|
807 |
|
---|
808 | const uInt chanAxis = asap::ChanAxis; // Spectral axis
|
---|
809 | SDHeader sh = in.getSDHeader();
|
---|
810 | const uInt nChan = sh.nchan;
|
---|
811 |
|
---|
812 | // Generate Kernel
|
---|
813 |
|
---|
814 | VectorKernel::KernelTypes type = VectorKernel::toKernelType(kernelType);
|
---|
815 | Vector<Float> kernel = VectorKernel::make(type, width, nChan, True, False);
|
---|
816 |
|
---|
817 | // Generate Convolver
|
---|
818 |
|
---|
819 | IPosition shape(1,nChan);
|
---|
820 | Convolver<Float> conv(kernel, shape);
|
---|
821 |
|
---|
822 | // New Table
|
---|
823 |
|
---|
824 | SDMemTable* pTabOut = new SDMemTable(in,True);
|
---|
825 |
|
---|
826 | // Get cursor location
|
---|
827 |
|
---|
828 | IPosition start, end;
|
---|
829 | getCursorLocation(start, end, in);
|
---|
830 | //
|
---|
831 | IPosition shapeOut(4,1);
|
---|
832 |
|
---|
833 | // Output Vectors
|
---|
834 |
|
---|
835 | Vector<Float> valuesOut(nChan);
|
---|
836 | Vector<Bool> maskOut(nChan);
|
---|
837 |
|
---|
838 | // Loop over rows in Table
|
---|
839 |
|
---|
840 | for (uInt ri=0; ri < in.nRow(); ++ri) {
|
---|
841 |
|
---|
842 | // Get copy of data
|
---|
843 |
|
---|
844 | const MaskedArray<Float>& dataIn(in.rowAsMaskedArray(ri));
|
---|
845 | AlwaysAssert(dataIn.shape()(asap::ChanAxis)==nChan, AipsError);
|
---|
846 | //
|
---|
847 | Array<Float> valuesIn = dataIn.getArray();
|
---|
848 | Array<Bool> maskIn = dataIn.getMask();
|
---|
849 |
|
---|
850 | // Branch depending on whether we smooth all locations or just
|
---|
851 | // those pointed at by the current selection cursor
|
---|
852 |
|
---|
853 | if (doAll) {
|
---|
854 | uInt axis = asap::ChanAxis;
|
---|
855 | VectorIterator<Float> itValues(valuesIn, axis);
|
---|
856 | VectorIterator<Bool> itMask(maskIn, axis);
|
---|
857 | while (!itValues.pastEnd()) {
|
---|
858 |
|
---|
859 | // Smooth
|
---|
860 | if (kernelType==VectorKernel::HANNING) {
|
---|
861 | mathutil::hanning(valuesOut, maskOut, itValues.vector(), itMask.vector());
|
---|
862 | itMask.vector() = maskOut;
|
---|
863 | } else {
|
---|
864 | mathutil::replaceMaskByZero(itValues.vector(), itMask.vector());
|
---|
865 | conv.linearConv(valuesOut, itValues.vector());
|
---|
866 | }
|
---|
867 | //
|
---|
868 | itValues.vector() = valuesOut;
|
---|
869 | //
|
---|
870 | itValues.next();
|
---|
871 | itMask.next();
|
---|
872 | }
|
---|
873 | } else {
|
---|
874 |
|
---|
875 | // Set multi-dim Vector shape
|
---|
876 |
|
---|
877 | shapeOut(asap::ChanAxis) = valuesIn.shape()(chanAxis);
|
---|
878 |
|
---|
879 | // Stuff about with shapes so that we don't have conformance run-time errors
|
---|
880 |
|
---|
881 | Vector<Float> valuesIn2 = valuesIn(start,end).nonDegenerate();
|
---|
882 | Vector<Bool> maskIn2 = maskIn(start,end).nonDegenerate();
|
---|
883 |
|
---|
884 | // Smooth
|
---|
885 |
|
---|
886 | if (kernelType==VectorKernel::HANNING) {
|
---|
887 | mathutil::hanning(valuesOut, maskOut, valuesIn2, maskIn2);
|
---|
888 | maskIn(start,end) = maskOut.reform(shapeOut);
|
---|
889 | } else {
|
---|
890 | mathutil::replaceMaskByZero(valuesIn2, maskIn2);
|
---|
891 | conv.linearConv(valuesOut, valuesIn2);
|
---|
892 | }
|
---|
893 | //
|
---|
894 | valuesIn(start,end) = valuesOut.reform(shapeOut);
|
---|
895 | }
|
---|
896 |
|
---|
897 | // Create and put back
|
---|
898 |
|
---|
899 | SDContainer sc = in.getSDContainer(ri);
|
---|
900 | putDataInSDC(sc, valuesIn, maskIn);
|
---|
901 | //
|
---|
902 | pTabOut->putSDContainer(sc);
|
---|
903 | }
|
---|
904 | //
|
---|
905 | return pTabOut;
|
---|
906 | }
|
---|
907 |
|
---|
908 |
|
---|
909 |
|
---|
910 | SDMemTable* SDMath::convertFlux (const SDMemTable& in, Float a, Float eta, Bool doAll) const
|
---|
911 | //
|
---|
912 | // As it is, this function could be implemented with 'simpleOperate'
|
---|
913 | // However, I anticipate that eventually we will look the conversion
|
---|
914 | // values up in a Table and apply them in a frequency dependent way,
|
---|
915 | // so I have implemented it fully here
|
---|
916 | //
|
---|
917 | {
|
---|
918 | SDHeader sh = in.getSDHeader();
|
---|
919 | SDMemTable* pTabOut = new SDMemTable(in, True);
|
---|
920 |
|
---|
921 | // FInd out how to convert values into Jy and K (e.g. units might be mJy or mK)
|
---|
922 | // Also automatically find out what we are converting to according to the
|
---|
923 | // flux unit
|
---|
924 |
|
---|
925 | Unit fluxUnit(sh.fluxunit);
|
---|
926 | Unit K(String("K"));
|
---|
927 | Unit JY(String("Jy"));
|
---|
928 | //
|
---|
929 | Bool toKelvin = True;
|
---|
930 | Double inFac = 1.0;
|
---|
931 | if (fluxUnit==JY) {
|
---|
932 | cerr << "Converting to K" << endl;
|
---|
933 | //
|
---|
934 | Quantum<Double> t(1.0,fluxUnit);
|
---|
935 | Quantum<Double> t2 = t.get(JY);
|
---|
936 | inFac = (t2 / t).getValue();
|
---|
937 | //
|
---|
938 | toKelvin = True;
|
---|
939 | sh.fluxunit = "K";
|
---|
940 | } else if (fluxUnit==K) {
|
---|
941 | cerr << "Converting to Jy" << endl;
|
---|
942 | //
|
---|
943 | Quantum<Double> t(1.0,fluxUnit);
|
---|
944 | Quantum<Double> t2 = t.get(K);
|
---|
945 | inFac = (t2 / t).getValue();
|
---|
946 | //
|
---|
947 | toKelvin = False;
|
---|
948 | sh.fluxunit = "Jy";
|
---|
949 | } else {
|
---|
950 | throw(AipsError("Unrecognized brightness units in Table - must be consistent with Jy or K"));
|
---|
951 | }
|
---|
952 | pTabOut->putSDHeader(sh);
|
---|
953 |
|
---|
954 | // Compute conversion factor. 'a' and 'eta' are really frequency, time and
|
---|
955 | // telescope dependent and should be looked// up in a table
|
---|
956 |
|
---|
957 | Float factor = 2.0 * inFac * 1.0e-7 * 1.0e26 *
|
---|
958 | QC::k.getValue(Unit(String("erg/K"))) / a / eta;
|
---|
959 | if (toKelvin) {
|
---|
960 | factor = 1.0 / factor;
|
---|
961 | }
|
---|
962 | cerr << "Applying conversion factor = " << factor << endl;
|
---|
963 |
|
---|
964 | // Generate correction vector. Apply same factor regardless
|
---|
965 | // of beam/pol/IF. This will need to change somewhen.
|
---|
966 |
|
---|
967 | Vector<Float> factors(in.nRow(), factor);
|
---|
968 |
|
---|
969 | // Correct
|
---|
970 |
|
---|
971 | correctFromVector (pTabOut, in, doAll, factors);
|
---|
972 | //
|
---|
973 | return pTabOut;
|
---|
974 | }
|
---|
975 |
|
---|
976 |
|
---|
977 | SDMemTable* SDMath::gainElevation (const SDMemTable& in, const Vector<Float>& coeffs,
|
---|
978 | const String& fileName,
|
---|
979 | const String& methodStr, Bool doAll) const
|
---|
980 | {
|
---|
981 |
|
---|
982 | // Get header and clone output table
|
---|
983 |
|
---|
984 | SDHeader sh = in.getSDHeader();
|
---|
985 | SDMemTable* pTabOut = new SDMemTable(in, True);
|
---|
986 |
|
---|
987 | // Get elevation data from SDMemTable and convert to degrees
|
---|
988 |
|
---|
989 | const Table& tab = in.table();
|
---|
990 | ROScalarColumn<Float> elev(tab, "ELEVATION");
|
---|
991 | Vector<Float> x = elev.getColumn();
|
---|
992 | x *= Float(180 / C::pi);
|
---|
993 | //
|
---|
994 | const uInt nC = coeffs.nelements();
|
---|
995 | if (fileName.length()>0 && nC>0) {
|
---|
996 | throw(AipsError("You must choose either polynomial coefficients or an ascii file, not both"));
|
---|
997 | }
|
---|
998 |
|
---|
999 | // Correct
|
---|
1000 |
|
---|
1001 | if (nC>0 || fileName.length()==0) {
|
---|
1002 |
|
---|
1003 | // Find instrument
|
---|
1004 |
|
---|
1005 | Bool throwIt = True;
|
---|
1006 | Instrument inst = SDMemTable::convertInstrument (sh.antennaname, throwIt);
|
---|
1007 |
|
---|
1008 | // Set polynomial
|
---|
1009 |
|
---|
1010 | Polynomial<Float>* pPoly = 0;
|
---|
1011 | Vector<Float> coeff;
|
---|
1012 | String msg;
|
---|
1013 | if (nC>0) {
|
---|
1014 | pPoly = new Polynomial<Float>(nC);
|
---|
1015 | coeff = coeffs;
|
---|
1016 | msg = String("user");
|
---|
1017 | } else {
|
---|
1018 | if (inst==PKSMULTIBEAM) {
|
---|
1019 | } else if (inst==PKSSINGLEBEAM) {
|
---|
1020 | } else if (inst==TIDBINBILLA) {
|
---|
1021 | pPoly = new Polynomial<Float>(3);
|
---|
1022 | coeff.resize(3);
|
---|
1023 | coeff(0) = 3.58788e-1;
|
---|
1024 | coeff(1) = 2.87243e-2;
|
---|
1025 | coeff(2) = -3.219093e-4;
|
---|
1026 | } else if (inst==MOPRA) {
|
---|
1027 | }
|
---|
1028 | msg = String("built in");
|
---|
1029 | }
|
---|
1030 | //
|
---|
1031 | if (coeff.nelements()>0) {
|
---|
1032 | pPoly->setCoefficients(coeff);
|
---|
1033 | } else {
|
---|
1034 | throw(AipsError("There is no known gain-el polynomial known for this instrument"));
|
---|
1035 | }
|
---|
1036 | //
|
---|
1037 | cerr << "Making polynomial correction with " << msg << " coefficients" << endl;
|
---|
1038 | const uInt nRow = in.nRow();
|
---|
1039 | Vector<Float> factor(nRow);
|
---|
1040 | for (uInt i=0; i<nRow; i++) {
|
---|
1041 | factor[i] = (*pPoly)(x[i]);
|
---|
1042 | }
|
---|
1043 | delete pPoly;
|
---|
1044 | //
|
---|
1045 | correctFromVector (pTabOut, in, doAll, factor);
|
---|
1046 | } else {
|
---|
1047 |
|
---|
1048 | // Indicate which columns to read from ascii file
|
---|
1049 |
|
---|
1050 | String col0("ELEVATION");
|
---|
1051 | String col1("FACTOR");
|
---|
1052 |
|
---|
1053 | // Read and correct
|
---|
1054 |
|
---|
1055 | cerr << "Making correction from ascii Table" << endl;
|
---|
1056 | correctFromAsciiTable (pTabOut, in, fileName, col0, col1,
|
---|
1057 | methodStr, doAll, x);
|
---|
1058 | }
|
---|
1059 | //
|
---|
1060 | return pTabOut;
|
---|
1061 | }
|
---|
1062 |
|
---|
1063 |
|
---|
1064 |
|
---|
1065 | SDMemTable* SDMath::opacity (const SDMemTable& in, Float tau, Bool doAll) const
|
---|
1066 | {
|
---|
1067 |
|
---|
1068 | // Get header and clone output table
|
---|
1069 |
|
---|
1070 | SDHeader sh = in.getSDHeader();
|
---|
1071 | SDMemTable* pTabOut = new SDMemTable(in, True);
|
---|
1072 |
|
---|
1073 | // Get elevation data from SDMemTable and convert to degrees
|
---|
1074 |
|
---|
1075 | const Table& tab = in.table();
|
---|
1076 | ROScalarColumn<Float> elev(tab, "ELEVATION");
|
---|
1077 | Vector<Float> zDist = elev.getColumn();
|
---|
1078 | zDist = Float(C::pi_2) - zDist;
|
---|
1079 |
|
---|
1080 | // Generate correction factor
|
---|
1081 |
|
---|
1082 | const uInt nRow = in.nRow();
|
---|
1083 | Vector<Float> factor(nRow);
|
---|
1084 | Vector<Float> factor2(nRow);
|
---|
1085 | for (uInt i=0; i<nRow; i++) {
|
---|
1086 | factor[i] = exp(tau)/cos(zDist[i]);
|
---|
1087 | }
|
---|
1088 |
|
---|
1089 | // Correct
|
---|
1090 |
|
---|
1091 | correctFromVector (pTabOut, in, doAll, factor);
|
---|
1092 | //
|
---|
1093 | return pTabOut;
|
---|
1094 | }
|
---|
1095 |
|
---|
1096 |
|
---|
1097 |
|
---|
1098 |
|
---|
1099 | // 'private' functions
|
---|
1100 |
|
---|
1101 | SDMemTable* SDMath::velocityAlign (const SDMemTable& in,
|
---|
1102 | MFrequency::Types velSystem,
|
---|
1103 | const String& velUnit,
|
---|
1104 | MDoppler::Types doppler,
|
---|
1105 | const String& refTime) const
|
---|
1106 | {
|
---|
1107 | // Get Header
|
---|
1108 |
|
---|
1109 | SDHeader sh = in.getSDHeader();
|
---|
1110 | const uInt nChan = sh.nchan;
|
---|
1111 | const uInt nRows = in.nRow();
|
---|
1112 |
|
---|
1113 | // Get Table reference
|
---|
1114 |
|
---|
1115 | const Table& tabIn = in.table();
|
---|
1116 |
|
---|
1117 | // Get Columns from Table
|
---|
1118 |
|
---|
1119 | ROScalarColumn<Double> mjdCol(tabIn, "TIME");
|
---|
1120 | ROScalarColumn<String> srcCol(tabIn, "SRCNAME");
|
---|
1121 | ROArrayColumn<uInt> fqIDCol(tabIn, "FREQID");
|
---|
1122 | //
|
---|
1123 | Vector<Double> times = mjdCol.getColumn();
|
---|
1124 | Vector<String> srcNames = srcCol.getColumn();
|
---|
1125 | Vector<uInt> freqID;
|
---|
1126 |
|
---|
1127 | // Generate Source table
|
---|
1128 |
|
---|
1129 | Vector<String> srcTab;
|
---|
1130 | Vector<uInt> srcIdx, firstRow;
|
---|
1131 | generateSourceTable (srcTab, srcIdx, firstRow, srcNames);
|
---|
1132 | const uInt nSrcTab = srcTab.nelements();
|
---|
1133 | cerr << "Found " << srcTab.nelements() << " sources to align " << endl;
|
---|
1134 |
|
---|
1135 | // Set reference Epoch to time of first row or given String
|
---|
1136 |
|
---|
1137 | Unit DAY(String("d"));
|
---|
1138 | MEpoch::Ref epochRef(in.getTimeReference());
|
---|
1139 | MEpoch refEpoch;
|
---|
1140 | if (refTime.length()>0) {
|
---|
1141 | refEpoch = epochFromString(refTime, in.getTimeReference());
|
---|
1142 | } else {
|
---|
1143 | refEpoch = in.getEpoch(0);
|
---|
1144 | }
|
---|
1145 | cerr << "Aligning at reference Epoch " << formatEpoch(refEpoch) << endl;
|
---|
1146 |
|
---|
1147 | // Set Reference Position
|
---|
1148 |
|
---|
1149 | MPosition refPos = in.getAntennaPosition();
|
---|
1150 |
|
---|
1151 | // Get Frequency Table
|
---|
1152 |
|
---|
1153 | SDFrequencyTable fTab = in.getSDFreqTable();
|
---|
1154 | const uInt nFreqIDs = fTab.length();
|
---|
1155 |
|
---|
1156 | // Create VelocityAligner Block. One VA for each possible
|
---|
1157 | // source/freqID combination
|
---|
1158 |
|
---|
1159 | PtrBlock<VelocityAligner<Float>* > vA(nFreqIDs*nSrcTab);
|
---|
1160 | for (uInt fqID=0; fqID<nFreqIDs; fqID++) {
|
---|
1161 | SpectralCoordinate sC = in.getSpectralCoordinate(fqID);
|
---|
1162 | for (uInt iSrc=0; iSrc<nSrcTab; iSrc++) {
|
---|
1163 | MDirection refDir = in.getDirection(firstRow[iSrc]);
|
---|
1164 | uInt idx = (iSrc*nFreqIDs) + fqID;
|
---|
1165 | vA[idx] = new VelocityAligner<Float>(sC, nChan, refEpoch, refDir, refPos,
|
---|
1166 | velUnit, doppler, velSystem);
|
---|
1167 | }
|
---|
1168 | }
|
---|
1169 |
|
---|
1170 | // New output Table
|
---|
1171 |
|
---|
1172 | SDMemTable* pTabOut = new SDMemTable(in,True);
|
---|
1173 |
|
---|
1174 | // Loop over rows in Table
|
---|
1175 |
|
---|
1176 | const IPosition polChanAxes(2, asap::PolAxis, asap::ChanAxis);
|
---|
1177 | VelocityAligner<Float>::Method method = VelocityAligner<Float>::LINEAR;
|
---|
1178 | Bool extrapolate=False;
|
---|
1179 | Bool useCachedAbcissa = False;
|
---|
1180 | Bool first = True;
|
---|
1181 | Bool ok;
|
---|
1182 | Vector<Float> yOut;
|
---|
1183 | Vector<Bool> maskOut;
|
---|
1184 | uInt ifIdx, vaIdx;
|
---|
1185 | //
|
---|
1186 | for (uInt iRow=0; iRow<nRows; ++iRow) {
|
---|
1187 | if (iRow%10==0) {
|
---|
1188 | cerr << "Processing row " << iRow << endl;
|
---|
1189 | }
|
---|
1190 |
|
---|
1191 | // Get EPoch
|
---|
1192 |
|
---|
1193 | Quantum<Double> tQ2(times[iRow],DAY);
|
---|
1194 | MVEpoch mv2(tQ2);
|
---|
1195 | MEpoch epoch(mv2, epochRef);
|
---|
1196 |
|
---|
1197 | // Get FreqID vector. One freqID per IF
|
---|
1198 |
|
---|
1199 | fqIDCol.get(iRow, freqID);
|
---|
1200 |
|
---|
1201 | // Get copy of data
|
---|
1202 |
|
---|
1203 | const MaskedArray<Float>& mArrIn(in.rowAsMaskedArray(iRow));
|
---|
1204 | Array<Float> values = mArrIn.getArray();
|
---|
1205 | Array<Bool> mask = mArrIn.getMask();
|
---|
1206 |
|
---|
1207 | // cerr << "values in = " << values(IPosition(4,0,0,0,0),IPosition(4,0,0,0,9)) << endl;
|
---|
1208 |
|
---|
1209 | // For each row, the Velocity abcissa will be the same regardless
|
---|
1210 | // of polarization. For all other axes (IF and BEAM) the abcissa
|
---|
1211 | // will change. So we iterate through the data by pol-chan planes
|
---|
1212 | // to mimimize the work. At this point, I think the Direction
|
---|
1213 | // is stored as the same for each beam. DOn't know where the
|
---|
1214 | // offsets are or what to do about them right now. For now
|
---|
1215 | // all beams get same position and velocoity abcissa.
|
---|
1216 |
|
---|
1217 | ArrayIterator<Float> itValuesPlane(values, polChanAxes);
|
---|
1218 | ArrayIterator<Bool> itMaskPlane(mask, polChanAxes);
|
---|
1219 | while (!itValuesPlane.pastEnd()) {
|
---|
1220 |
|
---|
1221 | // Find the IF index and then the VA PtrBlock index
|
---|
1222 |
|
---|
1223 | const IPosition& pos = itValuesPlane.pos();
|
---|
1224 | ifIdx = pos(asap::IFAxis);
|
---|
1225 | vaIdx = (srcIdx[iRow]*nFreqIDs) + freqID[ifIdx];
|
---|
1226 | //
|
---|
1227 | VectorIterator<Float> itValuesVec(itValuesPlane.array(), 1);
|
---|
1228 | VectorIterator<Bool> itMaskVec(itMaskPlane.array(), 1);
|
---|
1229 | //
|
---|
1230 | first = True;
|
---|
1231 | useCachedAbcissa=False;
|
---|
1232 | while (!itValuesVec.pastEnd()) {
|
---|
1233 | ok = vA[vaIdx]->align (yOut, maskOut, itValuesVec.vector(),
|
---|
1234 | itMaskVec.vector(), epoch, useCachedAbcissa,
|
---|
1235 | method, extrapolate);
|
---|
1236 | itValuesVec.vector() = yOut;
|
---|
1237 | itMaskVec.vector() = maskOut;
|
---|
1238 | //
|
---|
1239 | itValuesVec.next();
|
---|
1240 | itMaskVec.next();
|
---|
1241 | //
|
---|
1242 | if (first) {
|
---|
1243 | useCachedAbcissa = True;
|
---|
1244 | first = False;
|
---|
1245 | }
|
---|
1246 | }
|
---|
1247 | //
|
---|
1248 | itValuesPlane.next();
|
---|
1249 | itMaskPlane.next();
|
---|
1250 | }
|
---|
1251 |
|
---|
1252 | // cerr << "values out = " << values(IPosition(4,0,0,0,0),IPosition(4,0,0,0,9)) << endl;
|
---|
1253 |
|
---|
1254 | // Create and put back
|
---|
1255 |
|
---|
1256 | SDContainer sc = in.getSDContainer(iRow);
|
---|
1257 | putDataInSDC(sc, values, mask);
|
---|
1258 | //
|
---|
1259 | pTabOut->putSDContainer(sc);
|
---|
1260 | }
|
---|
1261 |
|
---|
1262 | // Clean up PointerBlock
|
---|
1263 |
|
---|
1264 | for (uInt i=0; i<vA.nelements(); i++) delete vA[i];
|
---|
1265 | //
|
---|
1266 | return pTabOut;
|
---|
1267 | }
|
---|
1268 |
|
---|
1269 |
|
---|
1270 | void SDMath::fillSDC(SDContainer& sc,
|
---|
1271 | const Array<Bool>& mask,
|
---|
1272 | const Array<Float>& data,
|
---|
1273 | const Array<Float>& tSys,
|
---|
1274 | Int scanID, Double timeStamp,
|
---|
1275 | Double interval, const String& sourceName,
|
---|
1276 | const Vector<uInt>& freqID) const
|
---|
1277 | {
|
---|
1278 | // Data and mask
|
---|
1279 |
|
---|
1280 | putDataInSDC(sc, data, mask);
|
---|
1281 |
|
---|
1282 | // TSys
|
---|
1283 |
|
---|
1284 | sc.putTsys(tSys);
|
---|
1285 |
|
---|
1286 | // Time things
|
---|
1287 |
|
---|
1288 | sc.timestamp = timeStamp;
|
---|
1289 | sc.interval = interval;
|
---|
1290 | sc.scanid = scanID;
|
---|
1291 | //
|
---|
1292 | sc.sourcename = sourceName;
|
---|
1293 | sc.putFreqMap(freqID);
|
---|
1294 | }
|
---|
1295 |
|
---|
1296 | void SDMath::normalize(MaskedArray<Float>& sum,
|
---|
1297 | const Array<Float>& sumSq,
|
---|
1298 | const Array<Float>& nPts,
|
---|
1299 | WeightType wtType, Int axis,
|
---|
1300 | Int nAxesSub) const
|
---|
1301 | {
|
---|
1302 | IPosition pos2(nAxesSub,0);
|
---|
1303 | //
|
---|
1304 | if (wtType==NONE) {
|
---|
1305 |
|
---|
1306 | // We just average by the number of points accumulated.
|
---|
1307 | // We need to make a MA out of nPts so that no divide by
|
---|
1308 | // zeros occur
|
---|
1309 |
|
---|
1310 | MaskedArray<Float> t(nPts, (nPts>Float(0.0)));
|
---|
1311 | sum /= t;
|
---|
1312 | } else if (wtType==VAR) {
|
---|
1313 |
|
---|
1314 | // Normalize each spectrum by sum(1/var) where the variance
|
---|
1315 | // is worked out for each spectrum
|
---|
1316 |
|
---|
1317 | Array<Float>& data = sum.getRWArray();
|
---|
1318 | VectorIterator<Float> itData(data, axis);
|
---|
1319 | while (!itData.pastEnd()) {
|
---|
1320 | pos2 = itData.pos().getFirst(nAxesSub);
|
---|
1321 | itData.vector() /= sumSq(pos2);
|
---|
1322 | itData.next();
|
---|
1323 | }
|
---|
1324 | } else if (wtType==TSYS) {
|
---|
1325 | }
|
---|
1326 | }
|
---|
1327 |
|
---|
1328 |
|
---|
1329 | void SDMath::accumulate(Double& timeSum, Double& intSum, Int& nAccum,
|
---|
1330 | MaskedArray<Float>& sum, Array<Float>& sumSq,
|
---|
1331 | Array<Float>& nPts, Array<Float>& tSysSum,
|
---|
1332 | const Array<Float>& tSys, const Array<Float>& nInc,
|
---|
1333 | const Vector<Bool>& mask, Double time, Double interval,
|
---|
1334 | const Block<CountedPtr<SDMemTable> >& in,
|
---|
1335 | uInt iTab, uInt iRow, uInt axis,
|
---|
1336 | uInt nAxesSub, Bool useMask,
|
---|
1337 | WeightType wtType) const
|
---|
1338 | {
|
---|
1339 |
|
---|
1340 | // Get data
|
---|
1341 |
|
---|
1342 | MaskedArray<Float> dataIn(in[iTab]->rowAsMaskedArray(iRow));
|
---|
1343 | Array<Float>& valuesIn = dataIn.getRWArray(); // writable reference
|
---|
1344 | const Array<Bool>& maskIn = dataIn.getMask(); // RO reference
|
---|
1345 | //
|
---|
1346 | if (wtType==NONE) {
|
---|
1347 | const MaskedArray<Float> n(nInc,dataIn.getMask());
|
---|
1348 | nPts += n; // Only accumulates where mask==T
|
---|
1349 | } else if (wtType==VAR) {
|
---|
1350 |
|
---|
1351 | // We are going to average the data, weighted by the noise for each pol, beam and IF.
|
---|
1352 | // So therefore we need to iterate through by spectrum (axis 3)
|
---|
1353 |
|
---|
1354 | VectorIterator<Float> itData(valuesIn, axis);
|
---|
1355 | ReadOnlyVectorIterator<Bool> itMask(maskIn, axis);
|
---|
1356 | Float fac = 1.0;
|
---|
1357 | IPosition pos(nAxesSub,0);
|
---|
1358 | //
|
---|
1359 | while (!itData.pastEnd()) {
|
---|
1360 |
|
---|
1361 | // Make MaskedArray of Vector, optionally apply OTF mask, and find scaling factor
|
---|
1362 |
|
---|
1363 | if (useMask) {
|
---|
1364 | MaskedArray<Float> tmp(itData.vector(),mask&&itMask.vector());
|
---|
1365 | fac = 1.0/variance(tmp);
|
---|
1366 | } else {
|
---|
1367 | MaskedArray<Float> tmp(itData.vector(),itMask.vector());
|
---|
1368 | fac = 1.0/variance(tmp);
|
---|
1369 | }
|
---|
1370 |
|
---|
1371 | // Scale data
|
---|
1372 |
|
---|
1373 | itData.vector() *= fac; // Writes back into 'dataIn'
|
---|
1374 | //
|
---|
1375 | // Accumulate variance per if/pol/beam averaged over spectrum
|
---|
1376 | // This method to get pos2 from itData.pos() is only valid
|
---|
1377 | // because the spectral axis is the last one (so we can just
|
---|
1378 | // copy the first nAXesSub positions out)
|
---|
1379 |
|
---|
1380 | pos = itData.pos().getFirst(nAxesSub);
|
---|
1381 | sumSq(pos) += fac;
|
---|
1382 | //
|
---|
1383 | itData.next();
|
---|
1384 | itMask.next();
|
---|
1385 | }
|
---|
1386 | } else if (wtType==TSYS) {
|
---|
1387 | }
|
---|
1388 |
|
---|
1389 | // Accumulate sum of (possibly scaled) data
|
---|
1390 |
|
---|
1391 | sum += dataIn;
|
---|
1392 |
|
---|
1393 | // Accumulate Tsys, time, and interval
|
---|
1394 |
|
---|
1395 | tSysSum += tSys;
|
---|
1396 | timeSum += time;
|
---|
1397 | intSum += interval;
|
---|
1398 | nAccum += 1;
|
---|
1399 | }
|
---|
1400 |
|
---|
1401 |
|
---|
1402 |
|
---|
1403 |
|
---|
1404 | void SDMath::getCursorLocation(IPosition& start, IPosition& end,
|
---|
1405 | const SDMemTable& in) const
|
---|
1406 | {
|
---|
1407 | const uInt nDim = 4;
|
---|
1408 | const uInt i = in.getBeam();
|
---|
1409 | const uInt j = in.getIF();
|
---|
1410 | const uInt k = in.getPol();
|
---|
1411 | const uInt n = in.nChan();
|
---|
1412 | //
|
---|
1413 | start.resize(nDim);
|
---|
1414 | start(0) = i;
|
---|
1415 | start(1) = j;
|
---|
1416 | start(2) = k;
|
---|
1417 | start(3) = 0;
|
---|
1418 | //
|
---|
1419 | end.resize(nDim);
|
---|
1420 | end(0) = i;
|
---|
1421 | end(1) = j;
|
---|
1422 | end(2) = k;
|
---|
1423 | end(3) = n-1;
|
---|
1424 | }
|
---|
1425 |
|
---|
1426 |
|
---|
1427 | void SDMath::convertWeightString(WeightType& wtType, const String& weightStr) const
|
---|
1428 | {
|
---|
1429 | String tStr(weightStr);
|
---|
1430 | tStr.upcase();
|
---|
1431 | if (tStr.contains(String("NONE"))) {
|
---|
1432 | wtType = NONE;
|
---|
1433 | } else if (tStr.contains(String("VAR"))) {
|
---|
1434 | wtType = VAR;
|
---|
1435 | } else if (tStr.contains(String("TSYS"))) {
|
---|
1436 | wtType = TSYS;
|
---|
1437 | throw(AipsError("T_sys weighting not yet implemented"));
|
---|
1438 | } else {
|
---|
1439 | throw(AipsError("Unrecognized weighting type"));
|
---|
1440 | }
|
---|
1441 | }
|
---|
1442 |
|
---|
1443 | void SDMath::convertInterpString(Int& type, const String& interp) const
|
---|
1444 | {
|
---|
1445 | String tStr(interp);
|
---|
1446 | tStr.upcase();
|
---|
1447 | if (tStr.contains(String("NEAR"))) {
|
---|
1448 | type = InterpolateArray1D<Float,Float>::nearestNeighbour;
|
---|
1449 | } else if (tStr.contains(String("LIN"))) {
|
---|
1450 | type = InterpolateArray1D<Float,Float>::linear;
|
---|
1451 | } else if (tStr.contains(String("CUB"))) {
|
---|
1452 | type = InterpolateArray1D<Float,Float>::cubic;
|
---|
1453 | } else if (tStr.contains(String("SPL"))) {
|
---|
1454 | type = InterpolateArray1D<Float,Float>::spline;
|
---|
1455 | } else {
|
---|
1456 | throw(AipsError("Unrecognized interpolation type"));
|
---|
1457 | }
|
---|
1458 | }
|
---|
1459 |
|
---|
1460 | void SDMath::putDataInSDC(SDContainer& sc, const Array<Float>& data,
|
---|
1461 | const Array<Bool>& mask) const
|
---|
1462 | {
|
---|
1463 | sc.putSpectrum(data);
|
---|
1464 | //
|
---|
1465 | Array<uChar> outflags(data.shape());
|
---|
1466 | convertArray(outflags,!mask);
|
---|
1467 | sc.putFlags(outflags);
|
---|
1468 | }
|
---|
1469 |
|
---|
1470 | Table SDMath::readAsciiFile (const String& fileName) const
|
---|
1471 | {
|
---|
1472 | String formatString;
|
---|
1473 | Table tbl = readAsciiTable (formatString, Table::Memory, fileName, "", "", False);
|
---|
1474 | return tbl;
|
---|
1475 | }
|
---|
1476 |
|
---|
1477 |
|
---|
1478 |
|
---|
1479 | void SDMath::correctFromAsciiTable(SDMemTable* pTabOut,
|
---|
1480 | const SDMemTable& in, const String& fileName,
|
---|
1481 | const String& col0, const String& col1,
|
---|
1482 | const String& methodStr, Bool doAll,
|
---|
1483 | const Vector<Float>& xOut) const
|
---|
1484 | {
|
---|
1485 |
|
---|
1486 | // Read gain-elevation ascii file data into a Table.
|
---|
1487 |
|
---|
1488 | Table geTable = readAsciiFile (fileName);
|
---|
1489 | //
|
---|
1490 | correctFromTable (pTabOut, in, geTable, col0, col1, methodStr, doAll, xOut);
|
---|
1491 | }
|
---|
1492 |
|
---|
1493 | void SDMath::correctFromTable(SDMemTable* pTabOut, const SDMemTable& in,
|
---|
1494 | const Table& tTable, const String& col0,
|
---|
1495 | const String& col1,
|
---|
1496 | const String& methodStr, Bool doAll,
|
---|
1497 | const Vector<Float>& xOut) const
|
---|
1498 | {
|
---|
1499 |
|
---|
1500 | // Get data from Table
|
---|
1501 |
|
---|
1502 | ROScalarColumn<Float> geElCol(tTable, col0);
|
---|
1503 | ROScalarColumn<Float> geFacCol(tTable, col1);
|
---|
1504 | Vector<Float> xIn = geElCol.getColumn();
|
---|
1505 | Vector<Float> yIn = geFacCol.getColumn();
|
---|
1506 | Vector<Bool> maskIn(xIn.nelements(),True);
|
---|
1507 |
|
---|
1508 | // Interpolate (and extrapolate) with desired method
|
---|
1509 |
|
---|
1510 | Int method = 0;
|
---|
1511 | convertInterpString(method, methodStr);
|
---|
1512 | //
|
---|
1513 | Vector<Float> yOut;
|
---|
1514 | Vector<Bool> maskOut;
|
---|
1515 | InterpolateArray1D<Float,Float>::interpolate(yOut, maskOut, xOut,
|
---|
1516 | xIn, yIn, maskIn, method,
|
---|
1517 | True, True);
|
---|
1518 | // Apply
|
---|
1519 |
|
---|
1520 | correctFromVector (pTabOut, in, doAll, yOut);
|
---|
1521 | }
|
---|
1522 |
|
---|
1523 |
|
---|
1524 | void SDMath::correctFromVector (SDMemTable* pTabOut, const SDMemTable& in,
|
---|
1525 | Bool doAll, const Vector<Float>& factor) const
|
---|
1526 | {
|
---|
1527 |
|
---|
1528 | // For operations only on specified cursor location
|
---|
1529 |
|
---|
1530 | IPosition start, end;
|
---|
1531 | getCursorLocation(start, end, in);
|
---|
1532 |
|
---|
1533 | // Loop over rows and apply correction factor
|
---|
1534 |
|
---|
1535 | const uInt axis = asap::ChanAxis;
|
---|
1536 | for (uInt i=0; i < in.nRow(); ++i) {
|
---|
1537 |
|
---|
1538 | // Get data
|
---|
1539 |
|
---|
1540 | MaskedArray<Float> dataIn(in.rowAsMaskedArray(i));
|
---|
1541 |
|
---|
1542 | // Apply factor
|
---|
1543 |
|
---|
1544 | if (doAll) {
|
---|
1545 | dataIn *= factor[i];
|
---|
1546 | } else {
|
---|
1547 | MaskedArray<Float> dataIn2 = dataIn(start,end); // reference
|
---|
1548 | dataIn2 *= factor[i];
|
---|
1549 | }
|
---|
1550 |
|
---|
1551 | // Write out
|
---|
1552 |
|
---|
1553 | SDContainer sc = in.getSDContainer(i);
|
---|
1554 | putDataInSDC(sc, dataIn.getArray(), dataIn.getMask());
|
---|
1555 | //
|
---|
1556 | pTabOut->putSDContainer(sc);
|
---|
1557 | }
|
---|
1558 | }
|
---|
1559 |
|
---|
1560 |
|
---|
1561 | void SDMath::generateSourceTable (Vector<String>& srcTab,
|
---|
1562 | Vector<uInt>& srcIdx,
|
---|
1563 | Vector<uInt>& firstRow,
|
---|
1564 | const Vector<String>& srcNames) const
|
---|
1565 | //
|
---|
1566 | // This algorithm assumes that if there are multiple beams
|
---|
1567 | // that the source names are diffent. Oterwise we would need
|
---|
1568 | // to look atthe direction for each beam...
|
---|
1569 | //
|
---|
1570 | {
|
---|
1571 | const uInt nRow = srcNames.nelements();
|
---|
1572 | srcTab.resize(0);
|
---|
1573 | srcIdx.resize(nRow);
|
---|
1574 | firstRow.resize(0);
|
---|
1575 | //
|
---|
1576 | uInt nSrc = 0;
|
---|
1577 | for (uInt i=0; i<nRow; i++) {
|
---|
1578 | String srcName = srcNames[i];
|
---|
1579 |
|
---|
1580 | // Do we have this source already ?
|
---|
1581 |
|
---|
1582 | Int idx = -1;
|
---|
1583 | if (nSrc>0) {
|
---|
1584 | for (uInt j=0; j<nSrc; j++) {
|
---|
1585 | if (srcName==srcTab[j]) {
|
---|
1586 | idx = j;
|
---|
1587 | break;
|
---|
1588 | }
|
---|
1589 | }
|
---|
1590 | }
|
---|
1591 |
|
---|
1592 | // Add new entry if not found
|
---|
1593 |
|
---|
1594 | if (idx==-1) {
|
---|
1595 | nSrc++;
|
---|
1596 | srcTab.resize(nSrc,True);
|
---|
1597 | srcTab(nSrc-1) = srcName;
|
---|
1598 | idx = nSrc-1;
|
---|
1599 | //
|
---|
1600 | firstRow.resize(nSrc,True);
|
---|
1601 | firstRow(nSrc-1) = i; // First row for which this source occurs
|
---|
1602 | }
|
---|
1603 |
|
---|
1604 | // Set index for this row
|
---|
1605 |
|
---|
1606 | srcIdx[i] = idx;
|
---|
1607 | }
|
---|
1608 | }
|
---|
1609 |
|
---|
1610 | MEpoch SDMath::epochFromString (const String& str, MEpoch::Types timeRef) const
|
---|
1611 | {
|
---|
1612 | Quantum<Double> qt;
|
---|
1613 | if (MVTime::read(qt,str)) {
|
---|
1614 | MVEpoch mv(qt);
|
---|
1615 | MEpoch me(mv, timeRef);
|
---|
1616 | return me;
|
---|
1617 | } else {
|
---|
1618 | throw(AipsError("Invalid format for Epoch string"));
|
---|
1619 | }
|
---|
1620 | }
|
---|
1621 |
|
---|
1622 |
|
---|
1623 | String SDMath::formatEpoch(const MEpoch& epoch) const
|
---|
1624 | {
|
---|
1625 | MVTime mvt(epoch.getValue());
|
---|
1626 | return mvt.string(MVTime::YMD) + String(" (") + epoch.getRefString() + String(")");
|
---|
1627 | }
|
---|
1628 |
|
---|