| 1 | //
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| 2 | // C++ Implementation: STCalTsys
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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: Takeshi Nakazato <takeshi.nakazato@nao.ac.jp> (C) 2012
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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 |
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| 13 | #include <vector>
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| 14 | #include "STSelector.h"
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| 15 | #include "STCalTsys.h"
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| 16 | #include "RowAccumulator.h"
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| 17 | #include "STIdxIter.h"
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| 18 | #include "STDefs.h"
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| 19 | #include <atnf/PKSIO/SrcType.h>
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| 20 |
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| 21 | #include <casa/Arrays/ArrayMath.h>
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| 22 |
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| 23 | using namespace std;
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| 24 | using namespace casa;
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| 25 |
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| 26 | namespace asap {
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| 27 | STCalTsys::STCalTsys(CountedPtr<Scantable> &s, vector<int> &iflist)
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| 28 | : STCalibration(s),
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| 29 | iflist_(iflist)
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| 30 | {
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| 31 | applytable_ = new STCalTsysTable(*s);
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| 32 | }
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| 33 |
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| 34 | void STCalTsys::setupSelector()
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| 35 | {
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| 36 | sel_.reset();
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| 37 | sel_.setIFs(iflist_);
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| 38 | }
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| 39 |
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| 40 | void STCalTsys::fillCalTable()
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| 41 | {
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| 42 | RowAccumulator acc(W_TINT);
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| 43 |
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| 44 | vector<string> cols(3);
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| 45 | cols[0] = "IFNO";
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| 46 | cols[1] = "POLNO";
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| 47 | cols[2] = "BEAMNO";
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| 48 | STIdxIterAcc iter(scantable_, cols);
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| 49 |
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| 50 | ROScalarColumn<Double> *tcol = new ROScalarColumn<Double>(scantable_->table(), "TIME");
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| 51 | Vector<Double> timeSec = tcol->getColumn() * 86400.0;
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| 52 | tcol->attach(scantable_->table(), "INTERVAL");
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| 53 | Vector<Double> intervalSec = tcol->getColumn();
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| 54 | delete tcol;
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| 55 | ROScalarColumn<Float> *ecol = new ROScalarColumn<Float>(scantable_->table(), "ELEVATION");
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| 56 | Vector<Float> elevation = ecol->getColumn();
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| 57 | delete ecol;
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| 58 |
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| 59 | ROArrayColumn<Float> specCol(scantable_->table(), "TSYS");
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| 60 | ROArrayColumn<uChar> flagCol(scantable_->table(), "FLAGTRA");
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| 61 | ROScalarColumn<uInt> freqidCol(scantable_->table(), "FREQ_ID");
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| 62 |
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| 63 | // dummy Tsys: the following process doesn't need Tsys but RowAccumulator
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| 64 | // requires to set it with spectral data
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| 65 | Vector<Float> tsys(1, 1.0);
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| 66 |
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| 67 | Double timeCen = 0.0;
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| 68 | Float elCen = 0.0;
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| 69 | uInt count = 0;
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| 70 |
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| 71 | while(!iter.pastEnd()) {
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| 72 | Vector<uInt> rows = iter.getRows(SHARE);
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| 73 | Vector<uInt> current = iter.current();
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| 74 | uInt len = rows.nelements();
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| 75 | if (len == 0) {
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| 76 | iter.next();
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| 77 | continue;
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| 78 | }
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| 79 |
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| 80 | uInt nchan = scantable_->nchan(scantable_->getIF(rows[0]));
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| 81 | Vector<uChar> flag(nchan);
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| 82 | Vector<Bool> bflag(nchan);
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| 83 | Vector<Float> spec(nchan);
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| 84 |
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| 85 | Vector<Double> timeSep(len);
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| 86 | for (uInt i = 0; i < len-1; i++) {
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| 87 | timeSep[i] = timeSec[rows[i+1]] - timeSec[rows[i]] ;
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| 88 | }
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| 89 | Double tMedian = median(timeSep(IPosition(1,0), IPosition(1,len-2)));
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| 90 | timeSep[len-1] = tMedian * 10000.0 ; // any large value
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| 91 |
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| 92 | uInt irow ;
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| 93 | uInt jrow ;
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| 94 | for (uInt i = 0; i < len; i++) {
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| 95 | irow = rows[i];
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| 96 | jrow = (i < len-1) ? rows[i+1] : rows[i];
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| 97 | // accumulate data
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| 98 | flagCol.get(irow, flag);
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| 99 | convertArray(bflag, flag);
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| 100 | specCol.get(irow, spec);
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| 101 | if ( !allEQ(bflag,True) )
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| 102 | acc.add( spec, !bflag, tsys, intervalSec[irow], timeSec[irow] ) ;
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| 103 | timeCen += timeSec[irow];
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| 104 | elCen += elevation[irow];
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| 105 | count++;
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| 106 |
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| 107 | // check time gap
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| 108 | double gap = 2.0 * timeSep[i] / (intervalSec[jrow] + intervalSec[irow]);
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| 109 | if ( gap > 5.0 ) {
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| 110 | if ( acc.state() ) {
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| 111 | acc.replaceNaN() ;
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| 112 | // const Vector<Bool> &msk = acc.getMask();
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| 113 | // convertArray(flag, !msk);
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| 114 | // for (uInt k = 0; k < nchan; ++k) {
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| 115 | // uChar userFlag = 1 << 7;
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| 116 | // if (msk[k]==True) userFlag = 0 << 7;
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| 117 | // flag(k) = userFlag;
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| 118 | // }
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| 119 | timeCen /= (Double)count * 86400.0; // sec->day
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| 120 | elCen /= (Float)count;
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| 121 | STCalTsysTable *p = dynamic_cast<STCalTsysTable *>(&(*applytable_));
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| 122 | p->appenddata(0, 0, current[2], current[0], current[1],
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| 123 | freqidCol(irow), timeCen, elCen, acc.getSpectrum());
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| 124 | }
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| 125 | acc.reset() ;
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| 126 | timeCen = 0.0;
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| 127 | elCen = 0.0;
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| 128 | count = 0;
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| 129 | }
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| 130 | }
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| 131 |
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| 132 | iter.next() ;
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| 133 | }
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| 134 | }
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| 135 |
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| 136 | }
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