MSCleanImageSkyModel.h

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//# MSCleanImageSkyModel.h: Definition for MSCleanImageSkyModel
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//# $Id$

#ifndef SYNTHESIS_MSCLEANIMAGESKYMODEL_H
#define SYNTHESIS_MSCLEANIMAGESKYMODEL_H

#include <synthesis/MeasurementComponents/CleanImageSkyModel.h>
#include <lattices/Lattices/LatticeCleanProgress.h>

namespace casa { //# NAMESPACE CASA - BEGIN

//forward
class SkyEquation;

// <summary> 
// MS Clean Image Sky Model: Image Sky Model implementing the MS Clean algorithm
// </summary>

// <use visibility=export>

// <reviewed reviewer="" date="" tests="" demos="">

// <prerequisite>
//   <li> <linkto class=LatticeCleaner>LatticeCleaner</linkto> module
//   <li> <linkto class=ImageSkyModel>ImageSkyModel</linkto> module
//   <li> <linkto class=LinearModel>LinearModel</linkto> module
// </prerequisite>
//
// <etymology>
// MSCleanImageSkyModel implements the MS Clean algorithm.
// It is derived from <linkto class=SkyModel>SkyModel</linkto>.
// </etymology>
//
// <synopsis> 
// The MS Clean is the Multi-Scale clean, collecting flux
// in several different scale size Gaussian components.
// It is highly effective in imaging extended structure
// and results in residuals with excellent statistics.
//
// The MS Clean is implemented using the 
// <linkto class=LatticeCleaner>LatticeCleaner</linkto>
// class.
//
// Masking is optionally performed using a mask image: only points
// where the mask is non-zero are searched for Gaussian components. 
// This can cause some difficulty, as the different Gaussian scale
// sizes will extend beyond the mask by different amounts.
// If no mask is specified
// all points in the inner quarter of the image are cleaned.
// </synopsis> 
//
// <example>
// See the example for <linkto class=SkyModel>SkyModel</linkto>.
// </example>
//
// <motivation>
// </motivation>
//
// <todo asof="99/04/07">
// <ul> Improve the masking.
// </todo>

class MSCleanImageSkyModel : public CleanImageSkyModel {
public:

  // Create a MSCleanImageSkyModel with nScales, we figure out what they are
  MSCleanImageSkyModel(const Int nscales, const Int stoplargenegatives=2,
                         const Int stoppointmode=-1, const Float smallScaleBias=0.6);

  // Create a MSCleanImageSkyModel, you provide the scale sizes, IN PIXELS
  // for example:  Vector<Float> scales(4); scales(0) = 0.0;  scales(1) = 3.0;  
  // scales(2) = 10.0;  scales(3) = 30.0; 
  MSCleanImageSkyModel(const Vector<Float>& useScaleSize, const Int stoplargenegatives=2,
                         const Int stoppointmode=-1, const Float smallScaleBias=0.6);
 
  // destructor
  ~MSCleanImageSkyModel();

  // Solve for this SkyModel
  virtual Bool solve (SkyEquation& me);

private:
  enum Scale_Method{NSCALES, USERVECTOR};
  Scale_Method method_p;

  Int nscales_p;
  Vector<Float> userScaleSizes_p;
  // parameter to stop the cycle (for the first N cycles) if you get a 
  // negative on the largest scale;
  // To disable, use < 0
  Int stopLargeNegatives_p;

  // parameter which stops the cycle if you hit the smallest scale this many
  // consecutive times; if < 0, don't stop for this
  Int stopPointMode_p;
  Float smallScaleBias_p; 

  //LatticeCleanProgress  *progress_p;

};


} //# NAMESPACE CASA - END

#endif