LCOV - code coverage report
Current view: top level - synthesis/MeasurementEquations - ImageNACleaner.cc (source / functions) Hit Total Coverage
Test: casacpp_coverage.info Lines: 0 221 0.0 %
Date: 2024-10-10 11:40:37 Functions: 0 12 0.0 %

          Line data    Source code
       1             : //# Copyright (C) 2015
       2             : //# Associated Universities, Inc. Washington DC, USA.
       3             : //#
       4             : //# This library is free software; you can redistribute it and/or modify it
       5             : //# under the terms of the GNU  General Public License as published by
       6             : //# the Free Software Foundation; either version 3 of the License, or (at your
       7             : //# option) any later version.
       8             : //#
       9             : //# This library is distributed in the hope that it will be useful, but WITHOUT
      10             : //# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
      11             : //# FITNESS FOR A PARTICULAR PURPOSE.  See the GNU Library General Public
      12             : //# License for more details.
      13             : //#
      14             : //# You should have received a copy of the GNU Library General Public License
      15             : //# along with this library; if not, write to the Free Software Foundation,
      16             : //# Inc., 675 Massachusetts Ave, Cambridge, MA 02139, USA.
      17             : //#
      18             : //# Correspondence concerning AIPS++ should be addressed as follows:
      19             : //#        Internet email: casa-feedback@nrao.edu.
      20             : //#        Postal address: AIPS++ Project Office
      21             : //#                        National Radio Astronomy Observatory
      22             : //#                        520 Edgemont Road
      23             : //#                        Charlottesville, VA 22903-2475 USA
      24             : //#
      25             : //# $Id:  $
      26             : #include <synthesis/MeasurementEquations/MatrixNACleaner.h>
      27             : #include <synthesis/MeasurementEquations/ImageNACleaner.h>
      28             : #include <casacore/images/Images/ImageInterface.h>
      29             : #include <casacore/images/Images/PagedImage.h>
      30             : #include <casacore/images/Images/TempImage.h>
      31             : #include <casacore/coordinates/Coordinates/CoordinateSystem.h>
      32             : #include <casacore/coordinates/Coordinates/CoordinateUtil.h>
      33             : using namespace std;
      34             : using namespace casacore;
      35             : namespace casa { //# NAMESPACE CASA - BEGIN
      36             : 
      37           0 :   ImageNACleaner::ImageNACleaner(): psf_p(nullptr), dirty_p(nullptr), mask_p(nullptr), nPsfChan_p(0), 
      38           0 :                                     nImChan_p(0), nPsfPol_p(0), nImPol_p(0), chanAxis_p(-1), 
      39           0 :                                     polAxis_p(-1), nMaskChan_p(0), nMaskPol_p(0), maxResidual_p(0.0)
      40             :  {
      41             : 
      42             : 
      43           0 :   }
      44           0 :   ImageNACleaner::ImageNACleaner(ImageInterface<Float>& psf, 
      45           0 :                                  ImageInterface<Float>& dirty):  mask_p(nullptr), 
      46           0 :                                                                       nMaskChan_p(0), nMaskPol_p(0),maxResidual_p(0.0){
      47           0 :     psf_p=CountedPtr<ImageInterface<Float> >(&psf, false); 
      48           0 :     dirty_p=CountedPtr<ImageInterface<Float> >(&dirty, false); 
      49           0 :     chanAxis_p=CoordinateUtil::findSpectralAxis(dirty_p->coordinates());
      50           0 :     Vector<Stokes::StokesTypes> whichPols;
      51           0 :     polAxis_p=CoordinateUtil::findStokesAxis(whichPols, dirty_p->coordinates());
      52           0 :     if(chanAxis_p > -1){
      53           0 :       nPsfChan_p=psf_p->shape()(chanAxis_p);
      54           0 :       nImChan_p=dirty_p->shape()(chanAxis_p);
      55             :     }
      56           0 :     if(polAxis_p > -1){
      57           0 :       nPsfPol_p=psf_p->shape()(polAxis_p);
      58           0 :       nImPol_p=dirty_p->shape()(polAxis_p);
      59             :     }
      60           0 :   }
      61             : 
      62             : 
      63           0 :   ImageNACleaner::ImageNACleaner(const ImageNACleaner& other){
      64           0 :     operator=(other);
      65           0 :   }
      66             : 
      67           0 :   ImageNACleaner::~ImageNACleaner(){
      68             : 
      69           0 :   }
      70             : 
      71           0 :   ImageNACleaner& ImageNACleaner::operator=(const ImageNACleaner& other){
      72           0 :     if (this != &other) {
      73           0 :       matClean_p=other.matClean_p;
      74           0 :       psf_p=other.psf_p;
      75           0 :       dirty_p=other.dirty_p;
      76           0 :       mask_p=other.mask_p;
      77           0 :       nPsfChan_p=other.nPsfChan_p;
      78           0 :       nImChan_p=other.nImChan_p;
      79           0 :       nPsfPol_p=other.nPsfPol_p;
      80           0 :       nImPol_p=other.nImPol_p;
      81           0 :       chanAxis_p=other.chanAxis_p;
      82           0 :       nMaskChan_p=other.nMaskChan_p;
      83           0 :       nMaskPol_p=other.nMaskPol_p;
      84           0 :       polAxis_p=other.polAxis_p;
      85           0 :       maxResidual_p=other.maxResidual_p;
      86             :     }
      87           0 :     return *this;
      88             :   }
      89           0 :   void ImageNACleaner::setDirty(ImageInterface<Float>& dirty){
      90           0 :     dirty_p=CountedPtr<ImageInterface<Float> >(&dirty, false);
      91           0 :     chanAxis_p=CoordinateUtil::findSpectralAxis(dirty_p->coordinates());
      92           0 :     Vector<Stokes::StokesTypes> whichPols;
      93           0 :     polAxis_p=CoordinateUtil::findStokesAxis(whichPols, dirty_p->coordinates());
      94           0 :     if(chanAxis_p > -1){
      95           0 :       nImChan_p=dirty_p->shape()(chanAxis_p);
      96             :     }
      97             :     else
      98           0 :       nImChan_p=0;
      99           0 :     if(polAxis_p > -1){
     100           0 :       nImPol_p=dirty_p->shape()(polAxis_p);
     101             :     }
     102             :     else
     103           0 :       nImPol_p=0;
     104           0 :   }
     105             : 
     106           0 :   void ImageNACleaner::setPsf(ImageInterface<Float> & psf){
     107           0 :     psf_p=CountedPtr<ImageInterface<Float> >(&psf,false);
     108           0 :     Int chanAxis=CoordinateUtil::findSpectralAxis(psf_p->coordinates());
     109           0 :     Vector<Stokes::StokesTypes> whichPols;
     110           0 :     Int polAxis=CoordinateUtil::findStokesAxis(whichPols, psf_p->coordinates());
     111           0 :     if(chanAxis > -1){
     112           0 :       nPsfChan_p=psf_p->shape()(chanAxis);
     113             :     }
     114             :     else
     115           0 :       nPsfChan_p=0;
     116           0 :     if(polAxis > -1){
     117           0 :       nPsfPol_p=psf_p->shape()(polAxis);
     118             :     }
     119             :     else
     120           0 :       nPsfPol_p=0;
     121           0 :   }
     122             :   
     123             :   
     124           0 :   void ImageNACleaner::setcontrol(const Int niter,
     125             :                   const Float gain, const Quantity& aThreshold,
     126             :                                   const Int supp, const Int memtype, const Float numsigma){
     127           0 :     matClean_p.setcontrol(niter, gain, aThreshold, supp, memtype, numsigma);
     128           0 :   }
     129             :   
     130           0 :   Int ImageNACleaner::iteration() const{
     131           0 :     return matClean_p.iteration();
     132             :   }
     133             :  
     134             :   /* void ImageMSCleaner::startingIteration(const Int starting){
     135             :     matClean_p.startingIteration(starting);
     136             :   }
     137             :   */
     138           0 :   void ImageNACleaner::setMask(ImageInterface<Float> & mask){
     139             :   
     140             :    
     141           0 :     mask_p=CountedPtr<ImageInterface<Float> >(&mask, false);
     142           0 :     Int chanAxis=CoordinateUtil::findSpectralAxis(mask_p->coordinates());
     143           0 :     Vector<Stokes::StokesTypes> whichPols;
     144           0 :     Int polAxis=CoordinateUtil::findStokesAxis(whichPols, mask_p->coordinates());
     145           0 :     if(chanAxis > -1){
     146           0 :       nMaskChan_p=mask_p->shape()(chanAxis);
     147             :     }
     148             :     else
     149           0 :       nMaskChan_p=0;
     150           0 :     if(polAxis > -1){
     151           0 :       nMaskPol_p=mask_p->shape()(polAxis);
     152             :     }
     153             :     else
     154           0 :       nMaskPol_p=0;
     155             : 
     156             : 
     157           0 :   }
     158             : 
     159             :   
     160             : 
     161           0 :   Bool ImageNACleaner::setupMatCleaner(const Int niter,
     162             :                                        const Float gain, const Quantity& threshold, const Int masksupp, const Int memType, const Float numsigma){
     163             : 
     164           0 :     LogIO os(LogOrigin("ImageNACleaner", "setupMatCleaner()", WHERE));
     165             :     
     166           0 :     matClean_p.setcontrol(niter, gain, threshold, masksupp, memType, numsigma);
     167             :     
     168             :    
     169           0 :     return true;
     170           0 :   }
     171             : 
     172           0 :   Int ImageNACleaner::clean(ImageInterface<Float> & modelimage, 
     173             :                             const Int niter,
     174             :                             const Float gain, const Quantity& threshold,  const Int masksupp, const Int memType, const Float numSigma){
     175             : 
     176             : 
     177             :     
     178             :     
     179             :     
     180           0 :     Int result=0;
     181             :     ///case of single plane mask
     182             :     //now may be a time to set stuff  scales will be done later
     183           0 :     if(!setupMatCleaner(niter, gain, threshold, masksupp, memType, numSigma))
     184           0 :       return false;
     185             :     //cerr << "nPol " << nMaskPol_p << " " << nPsfPol_p << " " << nImPol_p << endl;
     186             :     //cerr << "nChan " << nMaskChan_p << " " << nPsfChan_p << " " << nImChan_p << endl;
     187           0 :     if( (nMaskPol_p >1) && (nMaskPol_p != nImPol_p))
     188           0 :       throw(AipsError("Donot know how to deal with mask that has different pol axis as Image")); 
     189           0 :     CountedPtr<ImageInterface<Float> > somemask;
     190           0 :     if(!mask_p){
     191             :       //make one
     192           0 :       somemask=CountedPtr<TempImage<Float> > (new TempImage<Float>((*dirty_p).shape(), (*dirty_p).coordinates())) ;
     193           0 :       setMask(*somemask);
     194             :     }
     195             :     
     196             :     /////TEST
     197             :     //PagedImage<Float> someResid((*dirty_p).shape(), (*dirty_p).coordinates(), "decon.resid");
     198             :     /////
     199           0 :     if(!psf_p)
     200           0 :       throw(AipsError("No PSF defined "));
     201             :     ///case of single plane psf
     202           0 :     if(nPsfChan_p < 2){
     203           0 :       Matrix<Float> psfMat;
     204           0 :       Array<Float> mbuf;
     205           0 :       if(nPsfPol_p > 1){
     206             :         ///First stokes psf is good enough
     207           0 :         IPosition blc(dirty_p->ndim(),0);
     208           0 :         IPosition trc=(dirty_p->shape()) -1;
     209           0 :         trc(polAxis_p)=0;
     210           0 :         Slicer sl(blc, trc, Slicer::endIsLast);
     211           0 :         psf_p->getSlice(mbuf, sl, true);
     212           0 :       }
     213             :       else{
     214           0 :         psf_p->get(mbuf, true);
     215             :       }
     216           0 :       psfMat.reference(mbuf);
     217           0 :       matClean_p.setPsf(psfMat);
     218             :       
     219           0 :     }
     220             : 
     221             :     
     222             : 
     223             :     //has cube axis
     224           0 :     if(chanAxis_p > -1 && nImChan_p > 0){
     225           0 :       Int npol=1;
     226           0 :       if(polAxis_p > -1 && nImPol_p >0){
     227           0 :         npol=nImPol_p;
     228             :       }
     229           0 :       Matrix<Float> subModel;
     230           0 :       Bool getModel=false;
     231           0 :       Bool getMask=false;
     232           0 :       IPosition blc(dirty_p->ndim(), 0);
     233           0 :       IPosition trc=dirty_p->shape() -1;
     234           0 :       for (Int k=0; k < nImChan_p ; ++k){
     235           0 :         for (Int j=0; j < npol; ++j){
     236           0 :           setupMatCleaner(niter, gain, threshold, masksupp, memType, numSigma);
     237           0 :           if(npol > 1 ){
     238           0 :             blc(polAxis_p)=j;
     239           0 :             trc(polAxis_p)=j;
     240             :           }
     241           0 :           blc(chanAxis_p)=k;
     242           0 :           trc(chanAxis_p)=k;
     243             :           //cerr << "blc " << blc << " trc " << trc << endl;
     244           0 :           Slicer sl(blc, trc, Slicer::endIsLast);
     245           0 :           Matrix<Float> dirtySub ;
     246           0 :           Array<Float> buf;
     247           0 :           dirty_p->getSlice(buf, sl, true);
     248           0 :           if(dirty_p->isMasked()){
     249           0 :             cerr << "zeroing masked dirty" << endl;
     250           0 :             Array<Bool> bitmask;
     251           0 :             dirty_p->pixelMask().getSlice(bitmask, sl, true);
     252           0 :             buf(!bitmask)=0.0;
     253           0 :             matClean_p.setPixFlag(bitmask);
     254           0 :           }
     255           0 :           dirtySub.reference(buf);
     256           0 :           matClean_p.setDirty(dirtySub);
     257           0 :           Array<Float> bufMod;
     258           0 :           getModel=modelimage.getSlice(bufMod, sl, true);
     259           0 :           subModel.reference(bufMod);
     260             :           
     261           0 :           if((nPsfChan_p>1) && (k<(nPsfChan_p-1))){
     262           0 :             Matrix<Float> psfSub;
     263           0 :             Array<Float> buf1;
     264           0 :             psf_p->getSlice(buf1, sl, true);
     265           0 :             psfSub.reference(buf1);
     266           0 :             matClean_p.setPsf(psfSub);
     267           0 :           }
     268           0 :           Array<Float> buf2;
     269           0 :           if(mask_p){
     270             :             // if((nMaskChan_p >1) && (k<(nMaskChan_p))){
     271           0 :               Matrix<Float> maskSub;
     272           0 :               getMask=mask_p->getSlice(buf2, sl, true);
     273             :               //cerr << "getmask " << getMask << " buf2 " << buf2.shape() << endl;
     274           0 :               maskSub.reference(buf2);
     275           0 :               matClean_p.setMask(maskSub);
     276             :               //Set mask above does the makeScaleMasks as psf-scale-Xfr are valid               
     277             :               // }
     278             :        
     279             :             
     280             :               //    else{
     281             :               //matClean_p.unsetMask();
     282             :               //}
     283           0 :           }
     284           0 :           result=matClean_p.clean(subModel);
     285             :           //Update the private flux and residuals here
     286           0 :           cerr << "maxResidual " << matClean_p.maxResidual() << " iteration " << matClean_p.iteration() << endl;
     287           0 :           maxResidual_p=max(maxResidual_p, matClean_p.maxResidual()); 
     288           0 :           if(!getModel)
     289           0 :             modelimage.putSlice(bufMod, sl.start());
     290             :           /////TESTING
     291             : 
     292             :           //someResid.putSlice(matClean_p.getResidual().reform(bufMod.shape()), sl.start());
     293             : 
     294             :           ///////
     295             :           //  cerr << "mask " << max(buf2) << " buf2 " << buf2.shape() << " start " << sl.start() << endl;
     296           0 :           if(!getMask)
     297           0 :             mask_p->putSlice(buf2, sl.start());
     298           0 :         }
     299             :       }
     300           0 :     }
     301             :     //has no channel but has pol
     302           0 :     else if(polAxis_p > -1 && nImPol_p > 1){
     303             :       //The psf should have been set above before the if loop
     304             :       //for this case
     305           0 :       Matrix<Float> subModel;
     306           0 :       Bool getModel=false;
     307           0 :       Bool getMask=false;
     308           0 :       Array<Float> buf2;
     309           0 :       IPosition blc(dirty_p->ndim(), 0);
     310           0 :       IPosition trc=dirty_p->shape() -1;
     311           0 :       for (Int j=0; j < nImPol_p; ++j){
     312           0 :         blc(polAxis_p)=j;
     313           0 :         trc(polAxis_p)=j;
     314           0 :         Slicer sl(blc, trc, Slicer::endIsLast);
     315           0 :         Matrix<Float> dirtySub ;
     316           0 :         Array<Float> buf;
     317           0 :         dirty_p->getSlice(buf, sl, true);
     318           0 :         dirtySub.reference(buf);
     319           0 :         matClean_p.setDirty(dirtySub);
     320           0 :         Array<Float> bufMod;
     321           0 :         getModel=modelimage.getSlice(bufMod, sl, true);
     322           0 :         subModel.reference(bufMod);
     323           0 :         if(!mask_p){
     324           0 :           if((nMaskPol_p >1)){
     325           0 :             Matrix<Float> maskSub;
     326             :            
     327           0 :             getMask=mask_p->getSlice(buf2, sl, true);
     328           0 :             maskSub.reference(buf2);
     329           0 :             matClean_p.setMask(maskSub);
     330           0 :           }
     331             :         
     332             :         }
     333           0 :         result=matClean_p.clean(subModel);
     334             :         //Update the private flux and residuals here
     335           0 :         maxResidual_p=max(maxResidual_p, matClean_p.maxResidual()); 
     336           0 :         if(!getModel)
     337           0 :           modelimage.putSlice(bufMod, sl.start());
     338           0 :         if(!getMask)
     339           0 :           mask_p->putSlice(buf2, sl.start());
     340           0 :       }      
     341           0 :     }
     342             :     //1 pol or less
     343             :     else{
     344             :       ////Will look at this later
     345             :       //psf and mask should have been set above if 
     346           0 :       Matrix<Float> dirtySub ;
     347           0 :       Array<Float> buf;
     348           0 :       dirty_p->get(buf, true);
     349           0 :       if(buf.shape().nelements() != 2){
     350           0 :         throw(AipsError("Non-expected axes in this image"));
     351             :       } 
     352           0 :       dirtySub.reference(buf);
     353           0 :       matClean_p.setDirty(dirtySub);
     354           0 :       Matrix<Float> subModel;
     355           0 :       Array<Float> buf0;
     356           0 :       Bool getModel=false;
     357           0 :       getModel=modelimage.get(buf0, true);
     358           0 :       subModel.reference(buf0);
     359           0 :       result=matClean_p.clean(subModel);
     360             :       //Update the private flux and residuals here
     361           0 :       maxResidual_p=max(maxResidual_p, matClean_p.maxResidual()); 
     362           0 :       if(!getModel)
     363           0 :         modelimage.put(subModel);
     364           0 :     }
     365           0 :     return result;
     366             :     
     367           0 :   }
     368             : 
     369             : 
     370             : } //# NAMESPACE CASA - END

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