LCOV - code coverage report
Current view: top level - flagging/Flagging - RFRowClipper.cc (source / functions) Hit Total Coverage
Test: casa_coverage.info Lines: 0 86 0.0 %
Date: 2023-10-25 08:47:59 Functions: 0 5 0.0 %

          Line data    Source code
       1             : //# RFRowClipper.cc: this defines RFRowClipper
       2             : //# Copyright (C) 2000,2001
       3             : //# Associated Universities, Inc. Washington DC, USA.
       4             : //#
       5             : //# This library is free software; you can redistribute it and/or modify it
       6             : //# under the terms of the GNU Library General Public License as published by
       7             : //# the Free Software Foundation; either version 2 of the License, or (at your
       8             : //# option) any later version.
       9             : //#
      10             : //# This library is distributed in the hope that it will be useful, but WITHOUT
      11             : //# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
      12             : //# FITNESS FOR A PARTICULAR PURPOSE.  See the GNU Library General Public
      13             : //# License for more details.
      14             : //#
      15             : //# You should have received a copy of the GNU Library General Public License
      16             : //# along with this library; if not, write to the Free Software Foundation,
      17             : //# Inc., 675 Massachusetts Ave, Cambridge, MA 02139, USA.
      18             : //#
      19             : //# Correspondence concerning AIPS++ should be addressed as follows:
      20             : //#        Internet email: aips2-request@nrao.edu.
      21             : //#        Postal address: AIPS++ Project Office
      22             : //#                        National Radio Astronomy Observatory
      23             : //#                        520 Edgemont Road
      24             : //#                        Charlottesville, VA 22903-2475 USA
      25             : //#
      26             : //# $Id$
      27             : #include <flagging/Flagging/Flagger.h>
      28             : #include <flagging/Flagging/RFFlagCube.h>
      29             : #include <flagging/Flagging/RFChunkStats.h>
      30             : #include <flagging/Flagging/RFRowClipper.h>
      31             : #include <casacore/casa/Arrays/LogiVector.h>
      32             : #include <casacore/casa/Arrays/ArrayMath.h>
      33             : #include <casacore/casa/Arrays/MaskArrMath.h>
      34             : #include <casacore/casa/Arrays/ArrayLogical.h>
      35             : #include <casacore/casa/Arrays/Slice.h>
      36             : #include <casacore/scimath/Mathematics/MedianSlider.h>
      37             :     
      38             : using namespace casacore;
      39             : namespace casa { //# NAMESPACE CASA - BEGIN
      40             : 
      41           0 : RFRowClipper::RFRowClipper( RFChunkStats &ch,RFFlagCube &fl,Float clip,uInt hw,uInt maxp ) :
      42             :   chunk(ch),flag(fl),clip_level(clip),halfwin(hw),maxpass(maxp),
      43           0 :   os(fl.logSink())
      44           0 : {}
      45             :     
      46           0 : void RFRowClipper::init( uInt ni,uInt nt ) 
      47             : {
      48           0 :   sig = Matrix<Float>(ntime=nt,nifr=ni,-1);
      49           0 :   sig0 = Matrix<Float>(nt,ni,-1);
      50           0 :   sigupdated = Vector<Bool>(ni,false);
      51           0 : }
      52             :         
      53           0 : void RFRowClipper::cleanup ()
      54             : {
      55           0 :   sig.resize();
      56           0 :   sig0.resize();
      57           0 :   sigupdated.resize();
      58           0 : }
      59             : 
      60           0 : void RFRowClipper::reset ()
      61             : {
      62           0 :   sigupdated = false;
      63           0 : }
      64             : 
      65           0 : Float RFRowClipper::updateSigma (uInt &ifrmax,uInt &itmax,Bool flag_rows, bool clear_flags )
      66             : {
      67           0 :   Vector<Float> medsigma(ntime);
      68           0 :   Vector<Float> diffsigma(ntime);
      69           0 :   Vector<Float> diffs(ntime);
      70             :   
      71           0 :   Float dmax=0;
      72           0 :   ifrmax=itmax=0;
      73           0 :   RFlagWord fm = flag.flagMask()|flag.fullCorrMask();
      74             : 
      75           0 :   for( uInt ifr=0; ifr<nifr; ifr++ ) 
      76             :   {
      77           0 :     if( sigupdated(ifr) )
      78             :     {
      79             :       Bool fl;
      80             :       Float d;
      81           0 :       Vector<Float> sigma( sig.column(ifr) );
      82           0 :       Bool recalc=true;
      83           0 :       for( uInt ipass=0; ipass<maxpass && recalc; ipass++ ) // loop while some rows are being flagged
      84             :       {
      85           0 :         uInt idiff=0;
      86           0 :         recalc=false;
      87             :         // Precompute mask of valid sigmas: existing and not flagged
      88           0 :         LogicalVector valid(ntime,true);
      89           0 :         for( uInt i=0; i<ntime; i++ )
      90           0 :           if( sigma(i)<=0 || flag.getRowFlag(ifr,i)&fm )
      91           0 :             valid(i) = false;
      92             :         
      93             :         // If we have a valid half-window specified, then compute diff WRT
      94             :         // to a sliding median. 
      95           0 :         if( halfwin>0 )
      96             :         {
      97           0 :           MedianSlider msl(halfwin);
      98           0 :           for( uInt it = 0; it<ntime; it++ ) 
      99             :           {
     100           0 :             msl.add( sigma(it), !valid(it) ); 
     101           0 :             if( it>=halfwin )
     102             :             {
     103           0 :               medsigma(it-halfwin) = msl.median();
     104           0 :               diffsigma(it-halfwin) = d = abs( msl.diff(fl) );
     105           0 :               if( !fl )
     106           0 :                 diffs(idiff++) = d;
     107             :             }
     108             :           }
     109           0 :           for( uInt it=ntime-halfwin; it<ntime; it++ )
     110             :           {
     111           0 :             msl.next(); 
     112           0 :             medsigma(it) = msl.median();
     113           0 :             diffsigma(it) = d = abs(msl.diff(fl));
     114           0 :             if( !fl )
     115           0 :               diffs(idiff++) = d;
     116             :           }
     117             :         }
     118             :         else // No half-window, compute diff WRT global median
     119             :         {
     120           0 :           Vector<Float> s;
     121           0 :           s = sigma(valid);
     122           0 :           Float med = median(s);
     123           0 :           medsigma.set(med);
     124           0 :           diffsigma = abs( sigma - med );
     125           0 :           diffs.resize();
     126           0 :           diffs = diffsigma(valid);
     127           0 :           idiff = diffs.nelements();
     128             :         }
     129           0 :         if( !idiff ) // no data? go on
     130           0 :           continue;
     131             :   // compute threshold, using median of the good datums
     132           0 :         Float meddiff = idiff ? median( diffs( Slice(0,idiff) ) ) : 0;
     133           0 :         Float thr = clip_level*meddiff;
     134           0 :         uInt nbad=0;
     135           0 :         LogicalVector goodsigma( diffsigma<thr );
     136           0 :         for( uInt it=0; it<ntime; it++ )
     137             :         {
     138           0 :           Float s=sigma(it);
     139           0 :           if( s>0 )
     140             :           {
     141             :             // for good rows (or when not using row flagging at all)
     142             :             // update stats and clear flags, if needed
     143           0 :             if( !flag_rows || goodsigma(it) ) 
     144             :             {
     145           0 :               Bool res = false;
     146           0 :               if( flag_rows && clear_flags ) // clear row flag
     147             :               {
     148           0 :                 recalc |= ( res = flag.clearRowFlag(ifr,it) );
     149           0 :                 for( uInt ich=0; ich<chunk.num(CHAN); ich++ )
     150           0 :                         flag.clearFlag(ich,ifr);
     151             :               }
     152           0 :               Float s0 = sig0(it,ifr),
     153           0 :                     m = max(s,s0),
     154           0 :                     d= m!=0 ? abs(s-s0)/m : 0;
     155           0 :               if( d>dmax )  // compute new max difference in sigma
     156             :               {
     157           0 :                 dmax=d;
     158           0 :                 ifrmax=ifr; itmax=it;
     159             :               }
     160             :             }
     161             :             else   // set flags on apparently bad rows
     162             :             {
     163           0 :               Bool res = flag.setRowFlag(ifr,it);
     164           0 :               recalc |= res;
     165           0 :               for( uInt ich=0; ich<chunk.num(CHAN); ich++ )
     166           0 :                         flag.setFlag(ich,ifr);
     167           0 :               nbad++;
     168             :             }
     169             :           }
     170             :           else // ignore rows that are apriori bad/nonexistent
     171             :           {
     172             :           }
     173             :         }
     174           0 :         String ifrid( chunk.ifrString(ifr) );
     175             : //        dprintf(os,"IFR %d (%s): %d rows flagged, recalc=%d\n",ifr,ifrid.chars(),nbad,(Int)recalc);
     176             :       } // endwhile(recalc)
     177             :     } // endif( sigupated(ifr) )
     178             :   } // endfor( ifr )
     179             : 
     180           0 :   sig0 = sig;
     181             :       
     182             : //  dprintf(os,"Max diff (%f) at ifr %d (%s), it %d: new sigma is %f\n",
     183             : //      dmax,ifrmax,chunk.ifrString(ifrmax).chars(),itmax,sig0(itmax,ifrmax));
     184             : 
     185           0 :   return dmax;
     186             : }
     187             : 
     188             : } //# NAMESPACE CASA - END
     189             : 

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