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Current view: top level - synthesis/MeasurementComponents - MSCleanImageSkyModel.cc (source / functions) Hit Total Coverage
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Date: 2024-11-06 17:42:47 Functions: 0 5 0.0 %

          Line data    Source code
       1             : //# MSCleanImageSkyModel.cc: Implementation of MSCleanImageSkyModel class
       2             : //# Copyright (C) 1996,1997,1998,1999,2000,2001,2002,2003
       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: casa-feedback@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             : 
      28             : 
      29             : #include <casacore/casa/Arrays/ArrayMath.h>
      30             : #include <synthesis/MeasurementComponents/MSCleanImageSkyModel.h>
      31             : #include <casacore/casa/OS/File.h>
      32             : #include <synthesis/MeasurementEquations/ImageMSCleaner.h>
      33             : #include <casacore/images/Images/SubImage.h>
      34             : #include <casacore/lattices/LRegions/LCBox.h>
      35             : #include <synthesis/MeasurementEquations/SkyEquation.h>
      36             : #include <synthesis/MeasurementEquations/LatticeModel.h>
      37             : #include <synthesis/MeasurementEquations/LatConvEquation.h>
      38             : #include <casacore/lattices/LEL/LatticeExprNode.h>
      39             : #include <casacore/casa/Exceptions/Error.h>
      40             : #include <casacore/casa/BasicSL/String.h>
      41             : #include <casacore/casa/Utilities/Assert.h>
      42             : #include <casacore/lattices/Lattices/TempLattice.h>
      43             : 
      44             : #include <sstream>
      45             : 
      46             : #include <casacore/casa/Logging/LogMessage.h>
      47             : #include <casacore/casa/Logging/LogSink.h>
      48             : 
      49             : 
      50             : using namespace casacore;
      51             : namespace casa { //# NAMESPACE CASA - BEGIN
      52             : 
      53           0 : MSCleanImageSkyModel::MSCleanImageSkyModel(const Int nscales,  const Int stoplargenegatives, const Int stoppointmode, const Float smallScaleBias)
      54           0 :   : method_p(NSCALES), nscales_p(nscales), userScaleSizes_p(0), stopLargeNegatives_p(stoplargenegatives), stopPointMode_p(stoppointmode), smallScaleBias_p(smallScaleBias)
      55             : {
      56           0 :   modified_p=true;
      57           0 :   donePSF_p=false;
      58             : 
      59           0 : };
      60             : 
      61           0 :   MSCleanImageSkyModel::MSCleanImageSkyModel(const Vector<Float>& userScaleSizes, const Int stoplarge, const Int stoppoint, const Float smallScaleBias)
      62           0 :     : method_p(USERVECTOR), nscales_p(0), userScaleSizes_p(userScaleSizes), 
      63           0 :   stopLargeNegatives_p(stoplarge), stopPointMode_p(stoppoint),
      64           0 :   smallScaleBias_p(smallScaleBias)
      65             : {
      66           0 :   modified_p=true;
      67           0 :   donePSF_p=false;
      68             : 
      69           0 : };
      70             : 
      71           0 : MSCleanImageSkyModel::~MSCleanImageSkyModel()
      72             : {
      73             :  
      74           0 : };
      75             : 
      76             : // Clean solver
      77           0 : Bool MSCleanImageSkyModel::solve(SkyEquation& se) {
      78             : 
      79             : 
      80           0 :   LogIO os(LogOrigin("MSCleanImageSkyModel","solve"));
      81             :   
      82           0 :   if(numberOfModels()>1) {
      83           0 :     os << "Cannot process more than one field" << LogIO::EXCEPTION;
      84             :   }
      85             :   /*
      86             :   if (displayProgress_p) {
      87             :     progress_p = new LatticeCleanProgress( pgplotter_p );
      88             :   }
      89             :   */
      90             :   // Make the residual image
      91           0 :   if(modified_p)
      92           0 :     makeNewtonRaphsonStep(se, false, (numberIterations()<1)?true:False);
      93             :   
      94             :   //Make the PSF
      95           0 :   if(!donePSF_p)
      96           0 :     makeApproxPSFs(se);
      97             : 
      98             : 
      99           0 :   if(numberIterations() <1){
     100           0 :     return true;
     101             :   }
     102             :   
     103             :   
     104           0 :   if(!isSolveable(0)) {
     105           0 :     os << "Model 1 is not solveable!" << LogIO::EXCEPTION;
     106             :   }
     107             :   
     108             : 
     109           0 :   Vector<Float> scaleSizes(0);  
     110           0 :   if (method_p == USERVECTOR) {
     111           0 :     if (userScaleSizes_p.nelements() <= 0) {
     112             :       os << LogIO::SEVERE 
     113             :          << "Need at least one scale for method uservector"
     114           0 :          << LogIO::POST;
     115             :     }
     116           0 :     os << "Creating scales from uservector method: " << LogIO::POST;
     117           0 :     for(uInt scale=0; scale < userScaleSizes_p.nelements(); scale++) {
     118           0 :       os << "scale " << scale << " = " << userScaleSizes_p(scale)
     119           0 :          << " pixels" << LogIO::POST;
     120             :     }
     121             :   } else {
     122           0 :     if (nscales_p <= 0) nscales_p = 1;
     123           0 :     scaleSizes.resize(nscales_p);  
     124             :     os << "Creating " << nscales_p << 
     125           0 :       " scales from powerlaw nscales method" << LogIO::POST;
     126           0 :     scaleSizes(0) = 0.0;
     127           0 :     os << "scale 1 = 0.0 pixels " << LogIO::POST;
     128           0 :     Float scaleInc = 2.0;
     129           0 :     for (Int scale=1; scale<nscales_p;scale++) {
     130           0 :       scaleSizes(scale) =
     131           0 :         scaleInc * pow(10.0, (Float(scale)-2.0)/2.0);
     132           0 :       os << "scale " << scale+1 << " = " << scaleSizes(scale)
     133           0 :          << " pixels" << LogIO::POST;
     134             :     }  
     135             :   }
     136             : 
     137           0 :   Int npol=image(0).shape()(2);
     138           0 :   Int nchan=image(0).shape()(3);
     139             :   
     140           0 :   AlwaysAssert((npol==1)||(npol==2)||(npol==3)||(npol==4), AipsError);  
     141           0 :   IPosition blcDirty(image(0).shape().nelements(), 0);
     142           0 :   IPosition trcDirty(image(0).shape()-1);
     143             : 
     144           0 :   if(hasMask(0)) {
     145           0 :     Int masknpol=mask(0).shape()(2);
     146           0 :     if(masknpol>1) {
     147           0 :       if(masknpol!=npol) {
     148           0 :         os << "Mask has more than one polarization but not the same as the image" << LogIO::EXCEPTION;
     149             :       }
     150             :       else {
     151           0 :         os << "Mask is a cube in polarization - will use appropriate plane for each polarization" << LogIO::POST;
     152             :       }
     153             :     }
     154           0 :     Int masknchan=mask(0).shape()(3);
     155           0 :     if(masknchan>1) {
     156           0 :       if(masknchan!=nchan) {
     157           0 :         os << "Mask has more than one channel but not the same as the image" << LogIO::EXCEPTION;
     158             :       }
     159             :       else {
     160           0 :         os << "Mask is a spectral cube - will use appropriate plane for each channel" << LogIO::POST;
     161             :       }
     162             :     }
     163             :   }
     164             :   
     165           0 :   Int iterUsed=0;
     166           0 :   Float maxRes=0.0;
     167           0 :   Int converged=0;
     168             :   // Loop over all channels and polarizations
     169           0 :   for (Int chan=0; chan<nchan; chan++) {
     170             : 
     171           0 :     if(nchan>1) {
     172           0 :      os<<"Processing channel "<<chan<<" of  0 to "<<nchan-1<<LogIO::POST;
     173             :     }
     174             :  
     175             :       // Load the PSF for this channel
     176             :       // Decide whether to clean this channel or not, based on PSF peak being non-zero.
     177           0 :       blcDirty(3) = chan; trcDirty(3) = chan;
     178           0 :       blcDirty(2) = 0; trcDirty(2) = 0;
     179           0 :       LCBox firstPolPlane(blcDirty, trcDirty, image(0).shape());
     180           0 :       SubImage<Float> subPsf(PSF(0), firstPolPlane);
     181             :       Float psfmax;
     182             :       {
     183           0 :          LatticeExprNode node = max(subPsf);
     184           0 :          psfmax = node.getFloat();
     185           0 :       }
     186             : 
     187           0 :       if(psfmax==0.0) { // PSF is not valid
     188           0 :          os << "No data for this channel: skipping" << LogIO::POST;
     189             :     } else { // PSF is valid.
     190           0 :      SubImage<Float> subMask;
     191           0 :      for (Int pol=0; pol<npol; pol++) { // Run MS-Clean on each polarization
     192           0 :          blcDirty(2) = pol; trcDirty(2) = pol;
     193           0 :          if(npol>1) {
     194           0 :             os<<"Processing polarization "<<pol+1<<" of "<<npol<<LogIO::POST;
     195             :          }
     196             : 
     197             : 
     198           0 :         LCBox onePlane(blcDirty, trcDirty, image(0).shape());
     199           0 :         SubImage<Float> subDirty(residual(0), onePlane, true);
     200           0 :         ImageMSCleaner cleaner(subPsf, subDirty);
     201             :         
     202             : 
     203           0 :         Bool doClean=true;
     204           0 :         String algorithm="msclean";
     205           0 :         if(hasMask(0)) {
     206           0 :           IPosition blcMask(mask(0).shape().nelements(), 0);
     207           0 :           IPosition trcMask(mask(0).shape()-1);
     208             : 
     209           0 :           Int masknpol=mask(0).shape()(2);
     210           0 :           Int masknchan=mask(0).shape()(3);
     211             :   
     212           0 :           if(masknpol==npol) {
     213           0 :             blcMask(2)=pol;
     214           0 :             trcMask(2)=pol;
     215             :           }
     216             :           else {
     217           0 :             blcMask(2)=0;
     218           0 :             trcMask(2)=0;
     219             :           }
     220           0 :           if(masknchan==nchan) {
     221           0 :             blcMask(3)=chan;
     222           0 :             trcMask(3)=chan;
     223             :           }
     224             :           else {
     225           0 :             blcMask(3)=0;
     226           0 :             trcMask(3)=0;
     227             :           }
     228           0 :           LCBox maskPlane(blcMask, trcMask, mask(0).shape());
     229           0 :           subMask=SubImage<Float>( mask(0), maskPlane, false); 
     230             :           // Check for empty mask
     231           0 :           LatticeExprNode sumMask = sum(subMask);
     232           0 :           if(sumMask.getFloat()==0.0) {
     233           0 :             os << LogIO::WARN << "Mask is specified but empty - no cleaning performed" << LogIO::POST;
     234           0 :             doClean=false;
     235             :           }
     236             :           else {
     237           0 :             cleaner.setMask(subMask);
     238             :             //Using mask so the user knows best.
     239           0 :             cleaner.ignoreCenterBox(true);
     240           0 :             algorithm="fullmsclean";
     241             :           }
     242           0 :         }
     243             : 
     244             :         
     245             : 
     246           0 :         if(doClean) {
     247           0 :           SubImage<Float> subImage(image(0), onePlane, true);
     248             :           
     249           0 :           if (method_p == USERVECTOR) {
     250           0 :             cleaner.setscales(userScaleSizes_p);   
     251             :           } else {
     252           0 :             cleaner.setscales(scaleSizes);   
     253             :           }
     254           0 :           cleaner.setSmallScaleBias(smallScaleBias_p);
     255           0 :           cleaner.stopPointMode(stopPointMode_p);
     256             :           //cleaner.setcontrol(CleanEnums::MULTISCALE, numberIterations(), gain(), 
     257             :           //                 Quantity(threshold(), "Jy"), true);
     258           0 :           if(stopLargeNegatives_p >0)
     259           0 :             cleaner.stopAtLargeScaleNegative();
     260             :           
     261           0 :           converged=cleaner.clean(subImage, algorithm, numberIterations(),gain(),  Quantity(threshold(), "Jy"), Quantity(0.0, "%"), true);
     262           0 :           Int stoplarge=stopLargeNegatives_p;
     263           0 :           while( (converged==-2) && stoplarge > 0){
     264           0 :             --stoplarge;
     265           0 :             converged=cleaner.clean(subImage, algorithm, numberIterations(),gain(),  
     266           0 :                                     Quantity(threshold(), "Jy"), Quantity(0, "%"),true);
     267             :           }
     268             :           // calculate residuals 
     269             :           
     270           0 :           LatticeModel lm(subImage);
     271           0 :           LatConvEquation eqn(subPsf, subDirty);
     272           0 :           TempLattice<Float> restl( subDirty.shape() );
     273           0 :           eqn.residual(restl, lm);
     274           0 :           subDirty.copyData(restl);
     275           0 :           iterUsed=max(iterUsed, cleaner.iteration());
     276           0 :         }
     277           0 :      }// end of polarization loop
     278           0 :     }// end of if (valid psf)
     279           0 :   }// end of channel loop
     280           0 :   Vector<Float> minres;
     281           0 :   Vector <Float> maxres;
     282           0 :   maxRes=maxField(maxres, minres);
     283           0 :   setThreshold(maxRes);
     284             : 
     285           0 :  modified_p=true;
     286             :   
     287             : 
     288           0 :   return(converged);
     289           0 : };
     290             : 
     291             : } //# NAMESPACE CASA - END
     292             : 

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