source: trunk/src/param.cc @ 1121

// -----------------------------------------------------------------------
// param.cc: Dealing with the set of parameters for Duchamp.
// -----------------------------------------------------------------------
// Copyright (C) 2006, Matthew Whiting, ATNF
//
// This program is free software; you can redistribute it and/or modify it
// under the terms of the GNU General Public License as published by the
// Free Software Foundation; either version 2 of the License, or (at your
// option) any later version.
//
// Duchamp is distributed in the hope that it will be useful, but WITHOUT
// ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
// FITNESS FOR A PARTICULAR PURPOSE.  See the GNU General Public License
// for more details.
//
// You should have received a copy of the GNU General Public License
// along with Duchamp; if not, write to the Free Software Foundation,
// Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307, USA
//
// Correspondence concerning Duchamp may be directed to:
//    Internet email: Matthew.Whiting [at] atnf.csiro.au
//    Postal address: Dr. Matthew Whiting
//                    Australia Telescope National Facility, CSIRO
//                    PO Box 76
//                    Epping NSW 1710
//                    AUSTRALIA
// -----------------------------------------------------------------------
#include <iostream>
#include <iomanip>
#include <fstream>
#include <sstream>
#include <string>
#include <algorithm>
#include <stdlib.h>
#include <ctype.h>
#include <math.h>
#include <unistd.h>
#include <duchamp/param.hh>
#include <duchamp/fitsHeader.hh>
#include <duchamp/duchamp.hh>
#include <duchamp/pgheader.hh>
#include <duchamp/ATrous/filter.hh>
#include <duchamp/Utils/utils.hh>
#include <duchamp/Utils/Section.hh>
#include <duchamp/Utils/VOParam.hh>
#include <duchamp/Outputs/columns.hh>

namespace duchamp
{
  const std::string defaultSection = "[*,*,*]";

  /****************************************************************/
  ///////////////////////////////////////////////////
  //// Accessor Functions for Parameter class:
  ///////////////////////////////////////////////////
  Param::~Param()
  {
    /// Deletes the offsets array if the sizeOffsets parameter is
    /// positive.
    if(this->sizeOffsets>0) delete [] this->offsets;
  }

  Param::Param()
  {
    this->defaultValues();
  }

  void Param::defaultValues()
  {
    /// Provides default intial values for the parameters. Note that
    /// imageFile has no default value!

    // Input files
    this->imageFile         = "";
    this->flagSubsection    = false;
    this->pixelSec.setSection(defaultSection);
    this->flagReconExists   = false;
    this->reconFile         = "";
    this->flagSmoothExists  = false;
    this->smoothFile        = "";
    this->usePrevious       = false;
    this->objectList        = "";
    // Output files
    this->flagLog           = false;
    this->logFile           = "duchamp-Logfile.txt";
    this->outFile           = "duchamp-Results.txt";
    this->flagSeparateHeader= false;
    this->headerFile        = "duchamp-Results.hdr";
    this->flagPlotSpectra   = true;
    this->spectraFile       = "duchamp-Spectra.ps";
    this->flagTextSpectra   = false;
    this->spectraTextFile   = "duchamp-Spectra.txt";
    this->flagOutputBaseline    = false;
    this->fileOutputBaseline    = "";
    this->flagOutputMomentMap    = false;
    this->fileOutputMomentMap    = "";
    this->flagOutputMask    = false;
    this->fileOutputMask    = "";
    this->flagMaskWithObjectNum = false;
    this->flagOutputSmooth  = false;
    this->fileOutputSmooth  = "";
    this->flagOutputRecon   = false;
    this->fileOutputRecon   = "";
    this->flagOutputResid   = false;
    this->fileOutputResid   = "";
    this->flagVOT           = false;
    this->votFile           = "duchamp-Results.xml";
    this->flagKarma         = false;
    this->karmaFile         = "duchamp-Results.ann";
    this->flagDS9           = false;
    this->ds9File           = "duchamp-Results.reg";
    this->annotationType    = "borders";
    this->flagMaps          = true;
    this->detectionMap      = "duchamp-DetectionMap.ps";
    this->momentMap         = "duchamp-MomentMap.ps";
    this->flagXOutput       = true;
    this->precFlux          = Catalogues::prFLUX;
    this->precVel           = Catalogues::prVEL;
    this->precSNR           = Catalogues::prSNR;
    // Cube related parameters 
    this->flagBlankPix      = false;
    this->blankPixValue     = -8.00061;
    this->blankKeyword      = 1;
    this->bscaleKeyword     = -8.00061;
    this->bzeroKeyword      = 0.;
    this->newFluxUnits      = "";
    // Milky-Way parameters
    this->flagMW            = false;
    this->maxMW             = 112;
    this->minMW             = 75;
    this->areaBeam          = 0.;
    this->fwhmBeam          = 0.;
    this->beamAsUsed.empty();
    this->searchType        = "spatial";
    // Trim-related         
    this->flagTrim          = false;
    this->hasBeenTrimmed    = false;
    this->borderLeft        = 0;
    this->borderRight       = 0;
    this->borderBottom      = 0;
    this->borderTop         = 0;
    // Subsection offsets
    this->sizeOffsets       = 0;
    this->xSubOffset        = 0;
    this->ySubOffset        = 0;
    this->zSubOffset        = 0;
    // Baseline related
    this->flagBaseline      = false;
    // Detection-related    
    this->flagNegative      = false;
    // Object growth        
    this->flagGrowth        = false;
    this->growthCut         = 3.;
    this->flagUserGrowthThreshold = false;
    this->growthThreshold   = 0.;
    // FDR analysis         
    this->flagFDR           = false;
    this->alphaFDR          = 0.01;
    this->FDRnumCorChan     = 2;
    // Other detection      
    this->flagStatSec       = false;
    this->statSec.setSection(defaultSection);
    this->flagRobustStats   = true;
    this->snrCut            = 5.;
    this->threshold         = 0.;
    this->flagUserThreshold = false;
    // Smoothing 
    this->flagSmooth        = false;
    this->smoothType        = "spectral";
    this->hanningWidth      = 5;
    this->kernMaj           = 3.;
    this->kernMin           = -1.;
    this->kernPA            = 0.;
    // A trous reconstruction parameters
    this->flagATrous        = false;
    this->reconDim          = 1;
    this->scaleMin          = 1;
    this->scaleMax          = 0;
    this->snrRecon          = 4.;
    this->reconConvergence  = 0.005;
    this->filterCode        = 1;
    this->reconFilter.define(this->filterCode);
    // Volume-merging parameters
    this->flagAdjacent      = true;
    this->threshSpatial     = 3.;
    this->threshVelocity    = 7.;
    this->minChannels       = 3;
    this->minPix            = 2;
    this->minVoxels         = 4;
    this->flagRejectBeforeMerge = false;
    this->flagTwoStageMerging = true;
    // Input-Output related
    this->spectralMethod    = "peak";
    this->spectralType      = "";
    this->restFrequency     = -1.;
    this->restFrequencyUsed = false;
    this->spectralUnits     = "";
    this->pixelCentre       = "centroid";
    this->sortingParam      = "vel";
    this->borders           = true;
    this->blankEdge         = true;
    this->verbose           = true;
  }

  Param::Param (const Param& p)
  {
    operator=(p);
  }

  Param& Param::operator= (const Param& p)
  {
    if(this == &p) return *this;
    this->imageFile         = p.imageFile;
    this->flagSubsection    = p.flagSubsection; 
    this->pixelSec          = p.pixelSec; 
    this->flagReconExists   = p.flagReconExists;
    this->reconFile         = p.reconFile;      
    this->flagSmoothExists  = p.flagSmoothExists;
    this->smoothFile        = p.smoothFile;     
    this->usePrevious       = p.usePrevious;
    this->objectList        = p.objectList;
    this->flagLog           = p.flagLog;        
    this->logFile           = p.logFile;       
    this->outFile           = p.outFile;        
    this->flagSeparateHeader= p.flagSeparateHeader;
    this->headerFile        = p.headerFile;
    this->flagPlotSpectra   = p.flagPlotSpectra;
    this->spectraFile       = p.spectraFile;    
    this->flagTextSpectra   = p.flagTextSpectra;    
    this->spectraTextFile   = p.spectraTextFile;    
    this->flagOutputBaseline    = p.flagOutputBaseline;
    this->fileOutputBaseline    = p.fileOutputBaseline;
    this->flagOutputMomentMap    = p.flagOutputMomentMap;
    this->fileOutputMomentMap    = p.fileOutputMomentMap;
    this->flagOutputMask    = p.flagOutputMask;
    this->fileOutputMask    = p.fileOutputMask;
    this->flagMaskWithObjectNum = p.flagMaskWithObjectNum;
    this->flagOutputSmooth  = p.flagOutputSmooth;
    this->fileOutputSmooth  = p.fileOutputSmooth;
    this->flagOutputRecon   = p.flagOutputRecon;
    this->fileOutputRecon   = p.fileOutputRecon;
    this->flagOutputResid   = p.flagOutputResid;
    this->fileOutputResid   = p.fileOutputResid;
    this->flagVOT           = p.flagVOT;         
    this->votFile           = p.votFile;        
    this->flagKarma         = p.flagKarma;      
    this->karmaFile         = p.karmaFile;      
    this->flagDS9           = p.flagDS9;      
    this->ds9File           = p.ds9File;      
    this->annotationType    = p.annotationType;
    this->flagMaps          = p.flagMaps;       
    this->detectionMap      = p.detectionMap;   
    this->momentMap         = p.momentMap;      
    this->flagXOutput       = p.flagXOutput;       
    this->precFlux          = p.precFlux;
    this->precVel           = p.precVel;
    this->precSNR           = p.precSNR;
    this->flagNegative      = p.flagNegative;
    this->flagBlankPix      = p.flagBlankPix;   
    this->blankPixValue     = p.blankPixValue;  
    this->blankKeyword      = p.blankKeyword;   
    this->bscaleKeyword     = p.bscaleKeyword;  
    this->bzeroKeyword      = p.bzeroKeyword;   
    this->newFluxUnits      = p.newFluxUnits;
    this->flagMW            = p.flagMW;         
    this->maxMW             = p.maxMW;          
    this->minMW             = p.minMW;         
    this->areaBeam          = p.areaBeam;     
    this->fwhmBeam          = p.fwhmBeam;     
    this->beamAsUsed        = p.beamAsUsed;
    this->searchType        = p.searchType;
    this->flagTrim          = p.flagTrim;    
    this->hasBeenTrimmed    = p.hasBeenTrimmed;    
    this->borderLeft        = p.borderLeft;     
    this->borderRight       = p.borderRight;    
    this->borderBottom      = p.borderBottom;   
    this->borderTop         = p.borderTop;      
    if(this->sizeOffsets>0) delete [] this->offsets;
    this->sizeOffsets       = p.sizeOffsets;
    if(this->sizeOffsets>0){
      this->offsets           = new long[this->sizeOffsets];
      for(int i=0;i<this->sizeOffsets;i++) this->offsets[i] = p.offsets[i];
    }
    this->xSubOffset        = p.xSubOffset;     
    this->ySubOffset        = p.ySubOffset;     
    this->zSubOffset        = p.zSubOffset;
    this->flagBaseline      = p.flagBaseline;
    this->flagGrowth        = p.flagGrowth;
    this->growthCut         = p.growthCut;
    this->growthThreshold   = p.growthThreshold;
    this->flagUserGrowthThreshold = p.flagUserGrowthThreshold;
    this->flagFDR           = p.flagFDR;
    this->alphaFDR          = p.alphaFDR;
    this->FDRnumCorChan     = p.FDRnumCorChan;
    this->flagStatSec       = p.flagStatSec; 
    this->statSec           = p.statSec;
    this->flagRobustStats   = p.flagRobustStats;
    this->snrCut            = p.snrCut;
    this->threshold         = p.threshold;
    this->flagUserThreshold = p.flagUserThreshold;
    this->flagSmooth        = p.flagSmooth;
    this->smoothType        = p.smoothType;
    this->hanningWidth      = p.hanningWidth;
    this->kernMaj           = p.kernMaj;
    this->kernMin           = p.kernMin;
    this->kernPA            = p.kernPA;
    this->flagATrous        = p.flagATrous;
    this->reconDim          = p.reconDim;
    this->scaleMin          = p.scaleMin;
    this->scaleMax          = p.scaleMax;
    this->snrRecon          = p.snrRecon;
    this->reconConvergence  = p.reconConvergence;
    this->filterCode        = p.filterCode;
    this->reconFilter       = p.reconFilter;
    this->flagAdjacent      = p.flagAdjacent;
    this->threshSpatial     = p.threshSpatial;
    this->threshVelocity    = p.threshVelocity;
    this->minChannels       = p.minChannels;
    this->minPix            = p.minPix;
    this->minVoxels         = p.minVoxels;
    this->flagRejectBeforeMerge = p.flagRejectBeforeMerge;
    this->flagTwoStageMerging = p.flagTwoStageMerging;
    this->spectralMethod    = p.spectralMethod;
    this->spectralType      = p.spectralType;
    this->restFrequency     = p.restFrequency;
    this->restFrequencyUsed = p.restFrequencyUsed;
    this->spectralUnits     = p.spectralUnits;
    this->pixelCentre       = p.pixelCentre;
    this->sortingParam      = p.sortingParam;
    this->borders           = p.borders;
    this->blankEdge         = p.blankEdge;
    this->verbose           = p.verbose;
    return *this;
  }
  //--------------------------------------------------------------------

  OUTCOME Param::getopts(int argc, char ** argv, std::string progname)
  {
    ///   A function that reads in the command-line options, in a manner 
    ///    tailored for use with the main Duchamp program.
    /// 
    ///   \param argc The number of command line arguments.
    ///   \param argv The array of command line arguments.

    OUTCOME returnValue = FAILURE;
    if(argc==1){
      if(progname=="Selavy") std::cout << SELAVY_ERR_USAGE_MSG;
      else if(progname=="Duchamp") std::cout << ERR_USAGE_MSG;
      else std::cout << ERR_USAGE_MSG;
      returnValue = FAILURE;
    }
    else {
      std::string file;
      bool changeX = false;
      this->defaultValues();
      char c;
      while( ( c = getopt(argc,argv,"p:f:hvx") )!=-1){
        switch(c) {
        case 'p':
          file = optarg;
          if(this->readParams(file)==FAILURE){
            DUCHAMPERROR(progname,"Could not open parameter file " << file);
          }
          else returnValue = SUCCESS;
          break;
        case 'f':
          file = optarg;
          this->imageFile = file;
          returnValue = SUCCESS;
          break;
        case 'v':
          std::cout << PROGNAME << " version " << VERSION << std::endl;
          break;
        case 'x':
          changeX = true;
          break;
        case 'h':
        default :
          if(progname=="Selavy") std::cout << SELAVY_ERR_USAGE_MSG;
          else if(progname=="Duchamp") std::cout << ERR_USAGE_MSG;
          else std::cout << ERR_USAGE_MSG;
          break;
        }
      }
      if(changeX){
        if(returnValue == SUCCESS) this->setFlagXOutput(false);
        else {
          DUCHAMPERROR(progname, "You need to specify either a parameter file or FITS image.\n");
          std::cout << "\n" << ERR_USAGE_MSG;
        }
      }
    }
    return returnValue;
  }
  //--------------------------------------------------------------------

  bool Param::isBlank(float &value)
  {
    ///  Tests whether the value passed as the argument is BLANK or not.
    ///  \param value Pixel value to be tested.
    ///  \return False if flagBlankPix is false. Else, compare to the
    ///  relevant FITS keywords, using integer comparison.

    return this->flagBlankPix &&
      (this->blankKeyword == int((value-this->bzeroKeyword)/this->bscaleKeyword));
  }

  bool *Param::makeBlankMask(float *array, size_t size)
  {
    ///  This returns an array of bools, saying whether each pixel in the
    ///  given array is BLANK or not. If the pixel is BLANK, set mask to
    ///  false, else set to true. The array is allocated by the function.

    bool *mask = new bool[size];
    for(size_t i=0;i<size;i++) mask[i] = !this->isBlank(array[i]);
    return mask;
  }


  bool *Param::makeStatMask(float *array, size_t *dim)
  {
    ///  This returns an array of bools, saying whether each pixel in
    ///  the given array is suitable for a stats calculation. It needs
    ///  to be in the StatSec (if defined), not blank and not a MW
    ///  channel. The array is allocated by the function with a 'new' call. 

    bool *mask = new bool[dim[0]*dim[1]*dim[2]];
    for(size_t x=0;x<dim[0];x++) {
      for(size_t y=0;y<dim[1];y++) {
        for(size_t z=0;z<dim[2];z++) {
          size_t i = x+y*dim[0]+z*dim[0]*dim[1];
          mask[i] = !this->isBlank(array[i]) && !this->isInMW(z) && this->isStatOK(x,y,z);
        }
      }
    }
    return mask;
  }


  bool Param::isInMW(int z)
  {
    ///  Tests whether we are flagging Milky Way channels, and if so
    /// whether the given channel number is in the Milky Way range. The
    /// channels are assumed to start at number 0.  
    /// \param z The channel number 
    /// \return True if we are flagging Milky Way channels and z is in
    ///  the range.

    return ( this->flagMW && (z>=this->getMinMW()) && (z<=this->getMaxMW()) );
  }

  bool Param::isStatOK(int x, int y, int z)
  {
    /// Test whether a given pixel position lies within the subsection
    /// given by the statSec parameter. Only tested if the flagSubsection
    /// parameter is true -- if it isn't, we just return true since all
    /// pixels are therefore available for statstical calculations.
    /// \param x X-value of pixel being tested.
    /// \param y Y-value of pixel being tested.
    /// \param z Z-value of pixel being tested.
    /// \return True if pixel is able to be used for statistical
    /// calculations. False otherwise.

    int xval=x,yval=y,zval=z;
    if(flagSubsection){
      xval += pixelSec.getStart(0);
      yval += pixelSec.getStart(1);
      zval += pixelSec.getStart(2);
    }
    return !flagStatSec || statSec.isInside(xval,yval,zval);
  }

  std::vector<int> Param::getObjectRequest()
  {
    ///  Returns a list of the object numbers requested via the objectList parameter. 
    /// \return a vector of integers, one for each number in the objectList set.

    std::stringstream ss1;
    std::string tmp;
    std::vector<int> tmplist;
    ss1.str(this->objectList);
    while(!ss1.eof()){
      getline(ss1,tmp,',');
      for(size_t i=0;i<tmp.size();i++) if(tmp[i]=='-') tmp[i]=' ';
      int a,b;
      std::stringstream ss2;
      ss2.str(tmp);
      ss2 >>a;
      if(!ss2.eof()) ss2 >> b;
      else b=a;
      for(int n=a;n<=b;n++){
        tmplist.push_back(n);
      }      
    }
    return tmplist;
  }

  std::vector<bool> Param::getObjectChoices()
  {
    ///  Returns a list of bool values, indicating whether a given
    ///  object was requested or not. The size of the vector is
    ///  determined by the maximum value in objectList. For instance,
    ///  if objectList="2,3,5-8", then the returned vector will be
    ///  [0,1,1,0,1,1,1,1].
    ///  \return Vector of bool values.

    std::vector<int> objectChoices = this->getObjectRequest();
    int maxNum = *std::max_element(objectChoices.begin(), objectChoices.end());
    std::vector<bool> choices(maxNum,false);
    for(std::vector<int>::iterator obj = objectChoices.begin();obj!=objectChoices.end();obj++) 
      choices[*obj-1] = true;
    return choices;
  }

  std::vector<bool> Param::getObjectChoices(int numObjects)
  {
    ///  Returns a list of bool values, indicating whether a given
    ///  object was requested or not. The size of the vector is given
    ///  by the numObjects parameter. So, if objectList="2,3,5-8", then
    ///  the returned vector from a getObjectChoices(10) call will be
    ///  [0,1,1,0,1,1,1,1,0,0].
    ///  \param numObjects How many objects there are in total.
    ///  \return Vector of bool values.

    if(this->objectList==""){
      std::vector<bool> choices(numObjects,true);
      return choices;
    }
    else{
      std::vector<int> objectChoices = this->getObjectRequest();
      std::vector<bool> choices(numObjects,false);
      for(std::vector<int>::iterator obj = objectChoices.begin();obj!=objectChoices.end();obj++) 
        if(*obj<=numObjects) choices[*obj-1] = true;
      return choices;
    }
  }

  /****************************************************************/
  /// /// /// /// /// /// /// /// /// /// /// /// /// /// /// /// /// 
  /// / Other Functions using the  Parameter class:
  /// /// /// /// /// /// /// /// /// /// /// /// /// /// /// /// /// 

  OUTCOME Param::readParams(std::string paramfile)
  {
    /// The parameters are read in from a disk file, on the assumption that each
    ///  line of the file has the format "parameter value" (eg. alphafdr 0.1)
    /// 
    /// The case of the parameter name does not matter, nor does the
    /// formatting of the spaces (it can be any amount of whitespace or
    /// tabs). 
    /// 
    /// \param paramfile A std::string containing the parameter filename.
    /// 
    /// \return FAILURE if the parameter file does not exist. SUCCESS if
    /// it is able to read it.

    if(!USE_PGPLOT){
      // Change default values for these parameters when we don't use PGPlot
      this->flagXOutput = false;
      this->flagMaps = false;
      this->flagPlotSpectra = false;
    }

    std::ifstream fin(paramfile.c_str());
    if(!fin.is_open()) return FAILURE;
    std::string line;
    while( !std::getline(fin,line,'\n').eof()){

      if(line[0]!='#'){
        std::stringstream ss;
        ss.str(line);
        std::string arg;
        ss >> arg;
        arg = makelower(arg);
        if(arg=="imagefile")       this->imageFile = readFilename(ss);
        if(arg=="flagsubsection")  this->flagSubsection = readFlag(ss); 
        if(arg=="subsection")      this->pixelSec.setSection(readSval(ss));
        if(arg=="flagreconexists") this->flagReconExists = readFlag(ss); 
        if(arg=="reconfile")       this->reconFile = readSval(ss); 
        if(arg=="flagsmoothexists")this->flagSmoothExists = readFlag(ss); 
        if(arg=="smoothfile")      this->smoothFile = readSval(ss); 
        if(arg=="beamarea")        this->areaBeam = readFval(ss);
        if(arg=="beamfwhm")        this->fwhmBeam = readFval(ss);
        if(arg=="useprevious")     this->usePrevious = readFlag(ss);
        if(arg=="objectlist")      this->objectList = readSval(ss);

        if(arg=="flaglog")         this->flagLog = readFlag(ss); 
        if(arg=="logfile")         this->logFile = readSval(ss); 
        if(arg=="outfile")         this->outFile = readSval(ss); 
        if(arg=="flagseparateheader") this->flagSeparateHeader = readFlag(ss);
        if(arg=="headerfile")      this->headerFile = readFilename(ss);
        if(arg=="flagplotspectra") this->flagPlotSpectra = readFlag(ss);
        if(arg=="spectrafile")     this->spectraFile = readFilename(ss); 
        if(arg=="flagtextspectra") this->flagTextSpectra = readFlag(ss); 
        if(arg=="spectratextfile") this->spectraTextFile = readFilename(ss); 
        if(arg=="flagoutputbaseline")  this->flagOutputBaseline = readFlag(ss); 
        if(arg=="fileoutputbaseline")  this->fileOutputBaseline = readFilename(ss);
        if(arg=="flagoutputmomentmap")  this->flagOutputMomentMap = readFlag(ss); 
        if(arg=="fileoutputmomentmap")  this->fileOutputMomentMap = readFilename(ss);
        if(arg=="flagoutputmask")  this->flagOutputMask = readFlag(ss); 
        if(arg=="fileoutputmask")  this->fileOutputMask = readFilename(ss);
        if(arg=="flagmaskwithobjectnum") this->flagMaskWithObjectNum = readFlag(ss);
        if(arg=="flagoutputsmooth")this->flagOutputSmooth = readFlag(ss); 
        if(arg=="fileoutputsmooth")this->fileOutputSmooth = readFilename(ss);
        if(arg=="flagoutputrecon") this->flagOutputRecon = readFlag(ss); 
        if(arg=="fileoutputrecon") this->fileOutputRecon = readFilename(ss);
        if(arg=="flagoutputresid") this->flagOutputResid = readFlag(ss); 
        if(arg=="fileoutputresid") this->fileOutputResid = readFilename(ss);
        if(arg=="flagvot")         this->flagVOT = readFlag(ss); 
        if(arg=="votfile")         this->votFile = readFilename(ss); 
        if(arg=="flagkarma")       this->flagKarma = readFlag(ss); 
        if(arg=="karmafile")       this->karmaFile = readFilename(ss); 
        if(arg=="flagds9")         this->flagDS9 = readFlag(ss); 
        if(arg=="ds9file")         this->ds9File = readFilename(ss); 
        if(arg=="annotationtype")  this->annotationType = readSval(ss); 
        if(arg=="flagmaps")        this->flagMaps = readFlag(ss); 
        if(arg=="detectionmap")    this->detectionMap = readFilename(ss); 
        if(arg=="momentmap")       this->momentMap = readFilename(ss); 
        if(arg=="flagxoutput")     this->flagXOutput = readFlag(ss); 
        if(arg=="newfluxunits")    this->newFluxUnits = readSval(ss);
        if(arg=="precflux")        this->precFlux = readIval(ss);
        if(arg=="precvel")         this->precVel = readIval(ss);
        if(arg=="precsnr")         this->precSNR = readIval(ss);

        if(arg=="flagtrim")        this->flagTrim = readFlag(ss); 
        if(arg=="flagmw")          this->flagMW = readFlag(ss); 
        if(arg=="maxmw")           this->maxMW = readIval(ss); 
        if(arg=="minmw")           this->minMW = readIval(ss); 
        if(arg=="flagbaseline")    this->flagBaseline = readFlag(ss); 
        if(arg=="searchtype")      this->searchType = readSval(ss);

        if(arg=="flagnegative")    this->flagNegative = readFlag(ss);
        if(arg=="minpix")          this->minPix = readIval(ss); 
        if(arg=="flaggrowth")      this->flagGrowth = readFlag(ss); 
        if(arg=="growthcut")       this->growthCut = readFval(ss); 
        if(arg=="growththreshold"){
          this->growthThreshold = readFval(ss);
          this->flagUserGrowthThreshold = true;
        }

        if(arg=="flagfdr")         this->flagFDR = readFlag(ss); 
        if(arg=="alphafdr")        this->alphaFDR = readFval(ss); 
        if(arg=="fdrnumcorchan")   this->FDRnumCorChan = readIval(ss);
        if(arg=="flagstatsec")     this->flagStatSec = readFlag(ss); 
        if(arg=="statsec")         this->statSec.setSection(readSval(ss));
        if(arg=="flagrobuststats") this->flagRobustStats = readFlag(ss); 
        if(arg=="snrcut")          this->snrCut = readFval(ss); 
        if(arg=="threshold"){
          this->threshold = readFval(ss);
          this->flagUserThreshold = true;
        }
      
        if(arg=="flagsmooth")      this->flagSmooth = readFlag(ss);
        if(arg=="smoothtype")      this->smoothType = readSval(ss);
        if(arg=="hanningwidth")    this->hanningWidth = readIval(ss);
        if(arg=="kernmaj")         this->kernMaj = readFval(ss);
        if(arg=="kernmin")         this->kernMin = readFval(ss);
        if(arg=="kernpa")          this->kernPA = readFval(ss);

        if(arg=="flagatrous")      this->flagATrous = readFlag(ss); 
        if(arg=="recondim")        this->reconDim = readIval(ss); 
        if(arg=="scalemin")        this->scaleMin = readIval(ss); 
        if(arg=="scalemax")        this->scaleMax = readIval(ss); 
        if(arg=="snrrecon")        this->snrRecon = readFval(ss); 
        if(arg=="reconconvergence") this->reconConvergence = readFval(ss);
        if(arg=="filtercode")      this->filterCode = readIval(ss); 

        if(arg=="flagadjacent")    this->flagAdjacent = readFlag(ss); 
        if(arg=="threshspatial")   this->threshSpatial = readFval(ss); 
        if(arg=="threshvelocity")  this->threshVelocity = readFval(ss); 
        if(arg=="minchannels")     this->minChannels = readIval(ss); 
        if(arg=="minvoxels")       this->minVoxels = readIval(ss); 
        if(arg=="flagrejectbeforemerge") this->flagRejectBeforeMerge = readFlag(ss); 
        if(arg=="flagtwostagemerging") this->flagTwoStageMerging = readFlag(ss); 

        if(arg=="spectralmethod")  this->spectralMethod=makelower(readSval(ss));
        if(arg=="spectraltype")    this->spectralType = readSval(ss);
        if(arg=="restfrequency")   this->restFrequency = readFval(ss);
        if(arg=="spectralunits")   this->spectralUnits = readSval(ss);
        if(arg=="pixelcentre")     this->pixelCentre = makelower(readSval(ss));
        if(arg=="sortingparam")    this->sortingParam = makelower(readSval(ss));
        if(arg=="drawborders")     this->borders = readFlag(ss); 
        if(arg=="drawblankedges")  this->blankEdge = readFlag(ss); 
        if(arg=="verbose")         this->verbose = readFlag(ss); 

        // Dealing with deprecated parameters.
        if(arg=="flagblankpix"){
          this->flagTrim = readFlag(ss);
          DUCHAMPWARN("Reading parameters","The parameter flagBlankPix is deprecated. Please use the flagTrim parameter in future.");
          DUCHAMPWARN("Reading parameters","Setting flagTrim = " << stringize(this->flagTrim));
        }
        if(arg=="blankpixvalue"){
          DUCHAMPWARN("Reading parameters","The parameter blankPixValue is deprecated. This value is only taken from the FITS header.");
        }
        if(arg=="beamsize"){
          this->areaBeam = readFval(ss);
          DUCHAMPWARN("Reading parameters","The parameter beamSize is deprecated. You can specify the beam size by beamArea or beamFWHM.");
          DUCHAMPWARN("Reading parameters","Setting beamArea = " << this->areaBeam);
        }

      }
    }

    this->checkPars();

    return SUCCESS;

  }
  
  void Param::checkPars()
  {

    // If flagSubsection is false, but the parset had a subsection string in it, we want to set this back to the default.
    if(!this->flagSubsection){
      this->pixelSec.setSection(defaultSection);
    }
    if(!this->flagStatSec){
      this->statSec.setSection(defaultSection);
    }

    // If we have usePrevious=false, set the objectlist to blank so that we use all of them
    if(!this->usePrevious) this->objectList = "";

    // If pgplot was not included in the compilation, need to set flagXOutput to false
    if(!USE_PGPLOT){
      if(this->flagXOutput || this->flagMaps || this->flagPlotSpectra)
        DUCHAMPWARN("Reading parameters","PGPlot has not been enabled, so setting flagXOutput, flagMaps and flagPlotSpectra to false.");
      this->flagXOutput = false;
      this->flagMaps = false;
      this->flagPlotSpectra = false;
    }

    // Correcting bad precision values -- if negative, set to 0
    if(this->precFlux<0) this->precFlux = 0;
    if(this->precVel<0)  this->precVel = 0;
    if(this->precSNR<0)  this->precSNR = 0;

    // Can only have "spatial" or "spectral" as search types
    if(this->searchType != "spatial" && this->searchType != "spectral"){
      DUCHAMPWARN("Reading parameters","You have requested a search type of \""<<this->searchType<<"\" -- Only \"spectral\" and \"spatial\" are accepted, so setting to \"spatial\".");
      this->searchType = "spatial";
    }

    // The wavelet reconstruction takes precendence over the smoothing.
    if(this->flagATrous) this->flagSmooth = false;

    // Check validity of recon parameters
    if(this->flagATrous){
      if(this->reconConvergence < 0.){
        DUCHAMPWARN("Reading Parameters","Your reconConvergence value is negative ("<<this->reconConvergence<<") - setting to " << -this->reconConvergence <<".");
        this->reconConvergence *= -1.;
      }

      this->reconFilter.define(this->filterCode);

      if((this->scaleMax) > 0 && (this->scaleMax < this->scaleMin)){
        DUCHAMPWARN("Reading Parameters","Reconstruction scaleMax ("<<this->scaleMax<<") is less than scaleMin ("<<this->scaleMin<<"): setting both to "<<this->scaleMin);
        this->scaleMax = this->scaleMin;
      }

      if( (this->reconDim < 1) || (this->reconDim > 3) ){
        DUCHAMPWARN("Reading Parameters", "You requested a " << this->reconDim << " dimensional reconstruction. Setting reconDim to 1");
        this->reconDim = 1;
      }

      if( this->snrRecon < 0.){
        DUCHAMPWARN("Reading Parameters", "Your snrRecon value is negative (" << this->snrRecon<<"). Turning reconstruction off -- fix your parameter file!");
        this->flagATrous = false;
      }

    }

    if(this->flagUserThreshold){

      // If we specify a manual threshold, need to also specify a manual growth threshold
      // If we haven't done so, turn growing off
      if(this->flagGrowth && !this->flagUserGrowthThreshold){
        DUCHAMPWARN("Reading parameters","You have specified a manual search threshold, but not a manual growth threshold. You need to do so using the \"growthThreshold\" parameter.");
        DUCHAMPWARN("Reading parameters","The growth function is being turned off.");
        this->flagGrowth = false;
      }

      // If we specify a manual threshold, we don't need the FDR method, so turn it off if requested.
      if(this->flagFDR){
        DUCHAMPWARN("Reading parameters","You have specified a manual search threshold, so we don't need to use the FDR method. Setting \"flagFDR=false\".");
        this->flagFDR = false;
      }

    }   

    // Make sure the growth level is less than the detection level. Else turn off growing.
    if(this->flagGrowth){
      std::stringstream errmsg;
      bool doWarn = false;
      if(this->flagUserThreshold &&
         ( (this->threshold < this->growthThreshold)
           || (this->snrCut < this->growthCut) ) ){
        errmsg << "Your \"growthThreshold\" parameter" << this->growthThreshold <<" is larger than your \"threshold\"" << this->threshold;
        doWarn = true;
      }
      
      if(!this->flagUserThreshold &&
         (this->snrCut < this->growthCut)) {
        errmsg << "Your \"growthCut\" parameter " << this->growthCut << " is larger than your \"snrCut\"" << this->snrCut;
        doWarn = true;
      }

      if(doWarn){
        DUCHAMPWARN("Reading parameters",errmsg);
        DUCHAMPWARN("Reading parameters","The growth function is being turned off.");

      }
    }

    // Make sure the annnotationType is an acceptable option -- default is "borders"
    if((this->annotationType != "borders") && (this->annotationType!="circles")){
      DUCHAMPWARN("Reading parameters","The requested value of the parameter annotationType, \"" << this->annotationType << "\", is invalid -- changing to \"borders\".");
      this->annotationType = "borders";
    }
      
    // Make sure smoothType is an acceptable type -- default is "spectral"
    if((this->smoothType!="spectral")&&
       (this->smoothType!="spatial")){
      DUCHAMPWARN("Reading parameters","The requested value of the parameter smoothType, \"" << this->smoothType << "\", is invalid -- changing to \"spectral\".");
      this->smoothType = "spectral";
    }
    // If kernMin has not been given, or is negative, make it equal to kernMaj
    if(this->kernMin < 0) this->kernMin = this->kernMaj;

    // Make sure spectralMethod is an acceptable type -- default is "peak"
    if((this->spectralMethod!="peak")&&
       (this->spectralMethod!="sum")){
      DUCHAMPWARN("Reading parameters","The requested value of the parameter spectralMethod, \"" << this->spectralMethod << "\", is invalid -- changing to \"peak\".");
      this->spectralMethod = "peak";
    }

    // make sure pixelCentre is an acceptable type -- default is "peak"
    if((this->pixelCentre!="centroid")&&
       (this->pixelCentre!="average") &&
       (this->pixelCentre!="peak")       ){
      DUCHAMPWARN("Reading parameters","The requested value of the parameter pixelCentre, \"" << this->pixelCentre << "\", is invalid -- changing to \"centroid\".");
      this->pixelCentre = "centroid";
    }

    // Make sure sortingParam is an acceptable type -- default is "vel"
    bool OK = false;
    int loc=(this->sortingParam[0]=='-') ? 1 : 0;
    for(int i=0;i<numSortingParamOptions;i++) 
      OK = OK || this->sortingParam.substr(loc)==sortingParamOptions[i];
    if(!OK){
      DUCHAMPWARN("Reading parameters","The requested value of the parameter sortingParam, \"" << this->sortingParam << "\", is invalid. -- changing to \"vel\".");
      this->sortingParam = "vel";
    }

    // Make sure minVoxels is appropriate given minChannels & minPixels
    if(this->minVoxels < (this->minPix + this->minChannels - 1) ){
      DUCHAMPWARN("Reading parameters","Changing minVoxels to " << this->minPix + this->minChannels - 1 << " given minPix="<<this->minPix << " and minChannels="<<this->minChannels);
      this->minVoxels = this->minPix + this->minChannels - 1;
    }
      
  }

  OUTCOME Param::checkImageExists()
  {
    /// A simple check to see whether the image actually exists or not, using the cfitsio interface.
    /// If it does, we return SUCCESS, otherwise we throw an exception.

    int exists,status = 0;  /* MUST initialize status */
    fits_file_exists(this->imageFile.c_str(),&exists,&status);
    if(exists<=0){
      fits_report_error(stderr, status);
      DUCHAMPTHROW("Cube Reader","Requested image " << this->imageFile << " does not exist!");
      return FAILURE;
    }
    return SUCCESS;
  }


  void recordParameters(std::ostream& theStream, std::string paramName, std::string paramDesc, std::string paramValue)
  {
    
    const int width = 56;
    int widthText = width - paramName.size();

    theStream << std::setw(widthText) << paramDesc
              << setiosflags(std::ios::right) << paramName
              << "  =  " << resetiosflags(std::ios::right) << paramValue 
              <<std::endl;
  }

  std::string fileOption(bool flag, std::string file)
  {
    std::ostringstream ss;
    ss << stringize(flag);
    if(flag) ss << " --> " << file;
    return ss.str();
    
  }

  std::ostream& operator<< ( std::ostream& theStream, Param& par)
  {
    /// Print out the parameter set in a formatted, easy to read style.
    /// Lists the parameters, a description of them, and their value.

    // BUG -- can get error: `boolalpha' is not a member of type `ios' -- old compilers: gcc 2.95.3?
    //   theStream.setf(std::ios::boolalpha);
    theStream.setf(std::ios::left);
    theStream  <<"\n---- Parameters ----"<<std::endl;
    theStream  << std::setfill('.');
    if(par.getFlagSubsection())
      recordParam(theStream, "[imageFile]", "Image to be analysed", par.getImageFile()<<par.getSubsection());
    else 
      recordParam(theStream, "[imageFile]", "Image to be analysed", par.getImageFile());
    if(par.getFlagRestFrequencyUsed()){
      recordParam(theStream, "[restFrequency]","Rest frequency as used", par.getRestFrequency());
    }
    if(par.getFlagReconExists() && par.getFlagATrous()){
      recordParam(theStream, "[reconExists]", "Reconstructed array exists?", stringize(par.getFlagReconExists()));
      recordParam(theStream, "[reconFile]", "FITS file containing reconstruction", par.getReconFile());
    }
    if(par.getFlagSmoothExists() && par.getFlagSmooth()){
      recordParam(theStream, "[smoothExists]", "Smoothed array exists?", stringize(par.getFlagSmoothExists()));
      recordParam(theStream, "[smoothFile]", "FITS file containing smoothed array", par.getSmoothFile());
    }
    recordParam(theStream, "[logFile]", "Intermediate Logfile", par.logFile);
    recordParam(theStream, "[outFile]", "Final Results file", par.getOutFile());
    if(par.getFlagSeparateHeader()){
      recordParam(theStream, "[headerFile]", "Header for results file", par.getHeaderFile());
    }
    if(USE_PGPLOT && par.getFlagPlotSpectra()){
      recordParam(theStream, "[spectraFile]", "Spectrum file", par.getSpectraFile());
    }
    if(par.getFlagTextSpectra()){
      recordParam(theStream, "[spectraTextFile]", "Text file with ascii spectral data", par.getSpectraTextFile());
    }
    if(par.getFlagVOT()){
      recordParam(theStream, "[votFile]", "VOTable file", par.getVOTFile());
    }
    if(par.getFlagKarma()){
      recordParam(theStream, "[karmaFile]", "Karma annotation file" , par.getKarmaFile());
    }
    if(par.getFlagDS9()){
      recordParam(theStream, "[ds9File]", "DS9 annotation file" , par.getDS9File());
    }
    if(USE_PGPLOT && par.getFlagMaps()){
      recordParam(theStream, "[momentMap]", "0th Moment Map", par.getMomentMap());
      recordParam(theStream, "[detectionMap]", "Detection Map", par.getDetectionMap());
    }
    if(USE_PGPLOT){
      recordParam(theStream, "[flagXOutput]", "Display a map in a pgplot xwindow?", stringize(par.getFlagXOutput()));
    }
    if(par.getFlagATrous()){
      recordParam(theStream, "[flagOutputRecon]", "Saving reconstructed cube?", fileOption(par.getFlagOutputRecon(),par.outputReconFile()));
      recordParam(theStream, "[flagOutputResid]", "Saving residuals from reconstruction?", fileOption(par.getFlagOutputResid(),par.outputResidFile()));
    }                                                  
    if(par.getFlagSmooth()){    
      recordParam(theStream, "[flagOutputSmooth]", "Saving smoothed cube?", fileOption(par.getFlagOutputSmooth(),par.outputSmoothFile()));
    }                                                  
    recordParam(theStream, "[flagOutputMask]", "Saving mask cube?", fileOption(par.getFlagOutputMask(),par.outputMaskFile()));
    recordParam(theStream, "[flagOutputMomentMap]", "Saving 0th moment to FITS file?", fileOption(par.getFlagOutputMomentMap(),par.outputMomentMapFile()));
    recordParam(theStream, "[flagOutputBaseline]", "Saving baseline values to FITS file?", fileOption(par.getFlagOutputBaseline(),par.outputBaselineFile()));

    theStream  <<"------"<<std::endl;

    recordParam(theStream, "[searchType]", "Type of searching performed", par.getSearchType());
    if(par.getFlagBlankPix()){
      recordParam(theStream, "", "Blank Pixel Value", par.getBlankPixVal());
    }
    recordParam(theStream, "[flagTrim]", "Trimming Blank Pixels?", stringize(par.getFlagTrim()));
    recordParam(theStream, "[flagNegative]", "Searching for Negative features?", stringize(par.getFlagNegative()));
    recordParam(theStream, "[flagMW]", "Removing Milky Way channels?", stringize(par.getFlagMW()));
    if(par.getFlagMW()){
      // need to remove the offset correction, as we want to report the parameters actually entered
      recordParam(theStream, "[minMW - maxMW]", "Milky Way Channels", par.getMinMW()+par.getZOffset()<<"-"<<par.getMaxMW()+par.getZOffset());
    }
    if(par.beamAsUsed.origin()==EMPTY){  // No beam in FITS file and no information provided
      recordParam(theStream, "", "Area of Beam", "No beam");
    }
    else if(par.beamAsUsed.origin()==HEADER){ // Report beam size from FITS file
      recordParam(theStream, "", "Area of Beam (pixels)", par.beamAsUsed.area() << "   (beam: " << par.beamAsUsed.maj() << " x " << par.beamAsUsed.min() <<" pixels)");
    }
    else if(par.beamAsUsed.origin()==PARAM){ // Report beam size requested in parameter set input
      if(par.fwhmBeam>0.) recordParam(theStream, "[beamFWHM]", "FWHM of Beam (pixels)", par.beamAsUsed.maj() << "   (beam area = " << par.beamAsUsed.area() <<" pixels)");
      else  recordParam(theStream, "[beamArea]", "Area of Beam (pixels)", par.beamAsUsed.area());
    }
    else{
      recordParam(theStream, "[beam info]", "Size & shape of beam", "No information available!");
    }
    recordParam(theStream, "[flagBaseline]", "Removing baselines before search?", stringize(par.getFlagBaseline()));
    recordParam(theStream, "[flagSmooth]", "Smoothing data prior to searching?", stringize(par.getFlagSmooth()));
    if(par.getFlagSmooth()){           
      recordParam(theStream, "[smoothType]", "Type of smoothing", par.getSmoothType());
      if(par.getSmoothType()=="spectral")
        recordParam(theStream, "[hanningWidth]", "Width of hanning filter", par.getHanningWidth());
      else{
        recordParam(theStream, "[kernMaj]", "Gaussian kernel semi-major axis [pix]", par.getKernMaj());
        recordParam(theStream, "[kernMin]", "Gaussian kernel semi-minor axis [pix]", par.getKernMin());
        recordParam(theStream, "[kernPA]",  "Gaussian kernel position angle [deg]",  par.getKernPA());
      }
    }
    recordParam(theStream, "[flagATrous]", "Using A Trous reconstruction?", stringize(par.getFlagATrous()));
    if(par.getFlagATrous()){                           
      recordParam(theStream, "[reconDim]", "Number of dimensions in reconstruction", par.getReconDim());
      if(par.getMaxScale()>0){
        recordParam(theStream, "[scaleMin-scaleMax]", "Scales used in reconstruction", par.getMinScale()<<"-"<<par.getMaxScale());
      }
      else{
        recordParam(theStream, "[scaleMin]", "Minimum scale in reconstruction", par.getMinScale());
      }
      recordParam(theStream, "[snrRecon]", "SNR Threshold within reconstruction", par.getAtrousCut());
      recordParam(theStream, "[reconConvergence]", "Residual convergence criterion", par.getReconConvergence());
      recordParam(theStream, "[filterCode]", "Filter being used for reconstruction", par.getFilterCode()<<" ("<<par.getFilterName()<<")");
    }                                                  
    recordParam(theStream, "[flagRobustStats]", "Using Robust statistics?", stringize(par.getFlagRobustStats()));
    if(par.getFlagStatSec()){
      recordParam(theStream, "[statSec]", "Section used by statistics calculation", par.statSec.getSection());
    }
    recordParam(theStream, "[flagFDR]", "Using FDR analysis?", stringize(par.getFlagFDR()));
    if(par.getFlagFDR()){                                      
      recordParam(theStream, "[alphaFDR]", "Alpha value for FDR analysis", par.getAlpha());
      recordParam(theStream, "[FDRnumCorChan]", "Number of correlated channels for FDR", par.getFDRnumCorChan());
    }                                                  
    else {
      if(par.getFlagUserThreshold()){
        recordParam(theStream, "[threshold]", "Detection Threshold", par.getThreshold());
      }
      else{
        recordParam(theStream, "[snrCut]", "SNR Threshold (in sigma)", par.getCut());
      }
    }
    recordParam(theStream, "[minPix]", "Minimum # Pixels in a detection", par.getMinPix());
    recordParam(theStream, "[minChannels]", "Minimum # Channels in a detection", par.getMinChannels());
    recordParam(theStream, "[minVoxels]", "Minimum # Voxels in a detection", par.getMinVoxels());
    recordParam(theStream, "[flagGrowth]", "Growing objects after detection?", stringize(par.getFlagGrowth()));
    if(par.getFlagGrowth()) {                          
      if(par.getFlagUserGrowthThreshold()){
        recordParam(theStream, "[growthThreshold]", "Threshold for growth", par.getGrowthThreshold());
      }
      else{
        recordParam(theStream, "[growthCut]", "SNR Threshold for growth", par.getGrowthCut());
      }
    }
    recordParam(theStream, "[flagAdjacent]", "Using Adjacent-pixel criterion?", stringize(par.getFlagAdjacent()));
    if(!par.getFlagAdjacent()){
      recordParam(theStream, "[threshSpatial]", "Max. spatial separation for merging", par.getThreshS());
    }
    recordParam(theStream, "[threshVelocity]", "Max. velocity separation for merging", par.getThreshV());
    recordParam(theStream, "[flagRejectBeforeMerge]", "Reject objects before merging?", stringize(par.getFlagRejectBeforeMerge()));
    recordParam(theStream, "[flagTwoStageMerging]", "Merge objects in two stages?", stringize(par.getFlagTwoStageMerging()));
    recordParam(theStream, "[spectralMethod]", "Method of spectral plotting", par.getSpectralMethod());
    recordParam(theStream, "[pixelCentre]", "Type of object centre used in results", par.getPixelCentre());

    theStream  <<"--------------------\n";
    theStream  << std::setfill(' ');
    theStream.unsetf(std::ios::left);
    //  theStream.unsetf(std::ios::boolalpha);
    return theStream;
  }

  std::vector<VOParam> Param::getVOParams()
  {
    std::vector<VOParam> vopars;
    vopars.push_back(VOParam("imageFile","meta.file;meta.fits","char",this->imageFile,this->imageFile.size(),""));
    vopars.push_back(VOParam("flagSubsection","meta.code","boolean",this->flagSubsection,0,""));
    if(this->flagSubsection)
      vopars.push_back(VOParam("subsection","","char",this->pixelSec.getSection(),this->pixelSec.getSection().size(),""));
    vopars.push_back(VOParam("flagStatSec","meta.code","boolean",this->flagStatSec,0,""));
    if(this->flagSubsection)
      vopars.push_back(VOParam("StatSec","","char",this->statSec.getSection(),this->statSec.getSection().size(),""));
    if(this->flagReconExists)
      vopars.push_back(VOParam("reconfile","meta.file;meta.fits","char",this->reconFile, this->reconFile.size(),""));
    if(this->flagSmoothExists)
      vopars.push_back(VOParam("smoothfile","meta.file;meta.fits","char",this->smoothFile, this->smoothFile.size(),""));
    if(this->usePrevious)
      vopars.push_back(VOParam("objectlist","","char",this->objectList,this->objectList.size(),""));

    vopars.push_back(VOParam("searchType","meta.note","char",this->searchType,this->searchType.size(),""));
    vopars.push_back(VOParam("flagNegative","meta.code","boolean",this->flagNegative,0,""));
    vopars.push_back(VOParam("flagBaseline","meta.code","boolean",this->flagBaseline,0,""));
    vopars.push_back(VOParam("flagRobustStats","meta.code","boolean",this->flagRobustStats,0,""));
    vopars.push_back(VOParam("flagFDR","meta.code","boolean",this->flagFDR,0,""));
    if(this->flagFDR){
      vopars.push_back(VOParam("alphaFDR","stat.param","float",this->alphaFDR,0,""));
      vopars.push_back(VOParam("FDRnumCorChan","stat.param","int",this->FDRnumCorChan,0,""));
    }
    else{
      if(this->flagUserThreshold)
            vopars.push_back(VOParam("threshold","phot.flux;stat.min","float",this->threshold,0,""));
      else
        vopars.push_back(VOParam("snrCut","stat.snr;phot;stat.min","float",this->snrCut,0,""));
    }
    vopars.push_back(VOParam("flagGrowth","meta.code","boolean",this->flagGrowth,0,""));
    if(this->flagGrowth){
      if(this->flagUserGrowthThreshold)
        vopars.push_back(VOParam("growthThreshold","phot.flux;stat.min","float",this->growthThreshold,0,""));
      else
        vopars.push_back(VOParam("growthCut","stat.snr;phot;stat.min","float",this->growthCut,0,""));
    }
    vopars.push_back(VOParam("minVoxels","","int",minVoxels,0,""));
    vopars.push_back(VOParam("minPix","","int",minPix,0,""));
    vopars.push_back(VOParam("minChannels","","int",minChannels,0,""));
    vopars.push_back(VOParam("flagAdjacent","meta.code","boolean",this->flagAdjacent,0,""));
    if(!this->flagAdjacent)
      vopars.push_back(VOParam("threshSpatial","","float",this->threshSpatial,0,""));
    vopars.push_back(VOParam("threshVelocity","","float",this->threshSpatial,0,""));
    vopars.push_back(VOParam("flagRejectBeforeMerge","","boolean",this->flagRejectBeforeMerge,0,""));
    vopars.push_back(VOParam("flagTwoStageMerging","","boolean",this->flagTwoStageMerging,0,""));
    vopars.push_back(VOParam("pixelCentre","","char",this->pixelCentre,this->pixelCentre.size(),""));
    vopars.push_back(VOParam("flagSmooth","meta.code","boolean",this->flagSmooth,0,""));
    if(this->flagSmooth){
      vopars.push_back(VOParam("smoothType","","char",this->smoothType,this->smoothType.size(),""));
      if(this->smoothType=="spectral")
        vopars.push_back(VOParam("hanningWidth","","int",this->hanningWidth,0,""));
      else{
        vopars.push_back(VOParam("kernMaj","","float",this->kernMaj,0,""));
        vopars.push_back(VOParam("kernMin","","float",this->kernMin,0,""));
        vopars.push_back(VOParam("kernPA","","float",this->kernPA,0,""));
      }
    }
    vopars.push_back(VOParam("flagATrous","meta.code","boolean",this->flagATrous,0,""));
    if(this->flagATrous){
      vopars.push_back(VOParam("reconDim","","int",this->reconDim,0,""));
      vopars.push_back(VOParam("scaleMin","","int",this->scaleMin,0,""));
      if(this->scaleMax>0)
        vopars.push_back(VOParam("scaleMax","","int",this->scaleMax,0,""));
      vopars.push_back(VOParam("snrRecon","","float",this->snrRecon,0,""));
      vopars.push_back(VOParam("reconConvergence","","float",this->reconConvergence,0,""));
      vopars.push_back(VOParam("filterCode","","int",this->filterCode,0,""));
    }
    if(this->beamAsUsed.origin()==PARAM){
      if(this->fwhmBeam>0)
        vopars.push_back(VOParam("beamFWHM","","float",this->fwhmBeam,0,""));
      else
        vopars.push_back(VOParam("beamArea","","float",this->areaBeam,0,""));
    }
    if(this->restFrequencyUsed){
      vopars.push_back(VOParam("restFrequency","em.freq","float",this->restFrequency,0,"Hz"));
    }

    return vopars;

  }



  void Param::copyHeaderInfo(FitsHeader &head)
  {
    ///  A function to copy across relevant header keywords from the 
    ///  FitsHeader class to the Param class, as they are needed by
    ///  functions in the Param class.
    ///  The parameters are the keywords BLANK, BSCALE, BZERO, and the beam size. 

    this->blankKeyword  = head.getBlankKeyword();
    this->bscaleKeyword = head.getBscaleKeyword();
    this->bzeroKeyword  = head.getBzeroKeyword();
    this->blankPixValue = this->blankKeyword * this->bscaleKeyword + 
      this->bzeroKeyword;
  }

  std::string Param::outputMaskFile()
  {
    ///  This function produces the required filename in which to save
    ///  the mask image, indicating which pixels have been detected as
    ///  part of an object. If the input image is image.fits, then the
    ///  output will be image.MASK.fits.

    if(this->fileOutputMask==""){
      std::string inputName = this->imageFile;
      std::string outputName = inputName;
      if(inputName.substr(inputName.size()-5,5)==".fits")
        outputName = inputName.substr(0,inputName.size()-5);  
      // remove the ".fits" on the end.
      outputName += ".MASK.fits";
      return outputName;
    }
    else return this->fileOutputMask;
  }

  std::string Param::outputMomentMapFile()
  {
    ///  This function produces the required filename in which to save
    ///  the moment-0 FITS image. If the input image is image.fits, then the
    ///  output will be image.MOM0.fits.

    if(this->fileOutputMomentMap==""){
      std::string inputName = this->imageFile;
      std::string outputName = inputName;
      if(inputName.substr(inputName.size()-5,5)==".fits")
        outputName = inputName.substr(0,inputName.size()-5);  
      // remove the ".fits" on the end.
      outputName += ".MOM0.fits";
      return outputName;
    }
    else return this->fileOutputMomentMap;
  }

  std::string Param::outputBaselineFile()
  {
    ///  This function produces the required filename in which to save
    ///  the baseline FITS image. If the input image is image.fits, then the
    ///  output will be image.BASE.fits.

    if(this->fileOutputBaseline==""){
      std::string inputName = this->imageFile;
      std::string outputName = inputName;
      if(inputName.substr(inputName.size()-5,5)==".fits")
        outputName = inputName.substr(0,inputName.size()-5);  
      // remove the ".fits" on the end.
      outputName += ".BASE.fits";
      return outputName;
    }
    else return this->fileOutputBaseline;
  }

  std::string Param::outputSmoothFile()
  {
    ///  This function produces the required filename in which to save
    ///   the smoothed array. If the input image is image.fits, then
    ///   the output will be:
    ///    <ul><li> Spectral smoothing: image.SMOOTH-1D-3.fits, where the
    ///             width of the Hanning filter was 3 pixels.
    ///        <li> Spatial smoothing : image.SMOOTH-2D-3-2-20.fits, where
    ///             kernMaj=3, kernMin=2 and kernPA=20 degrees.
    ///    </ul>

    if(this->fileOutputSmooth==""){
      std::string inputName = this->imageFile;
      std::stringstream ss;
      if(inputName.substr(inputName.size()-5,5)==".fits")
        ss << inputName.substr(0,inputName.size()-5);  
      else
        ss << inputName;
      // remove the ".fits" on the end if necessary.
      if(this->flagSubsection) ss<<".sub";
      if(this->smoothType=="spectral")
        ss << ".SMOOTH-1D-" << this->hanningWidth << ".fits";
      else if(this->smoothType=="spatial")
        ss << ".SMOOTH-2D-" 
           << this->kernMaj << "-"
           << this->kernMin << "-"
           << this->kernPA  << ".fits";
      return ss.str();
    }
    else return this->fileOutputSmooth;
  }

  std::string Param::outputReconFile()
  {
    /// This function produces the required filename in which to save
    ///  the reconstructed array. If the input image is image.fits, then
    ///  the output will be eg. image.RECON-3-2-4-1.fits, where the numbers are
    ///  3=reconDim, 2=filterCode, 4=snrRecon, 1=minScale

    if(this->fileOutputRecon==""){
      std::string inputName = this->imageFile;
      std::stringstream ss;
      // First we remove the ".fits" from the end of the filename.
      ss << inputName.substr(0,inputName.size()-5);  
      if(this->flagSubsection) ss<<".sub";
      ss << ".RECON-" << this->reconDim 
         << "-"       << this->filterCode
         << "-"       << this->snrRecon
         << "-"       << this->scaleMin
         << "-"       << this->scaleMax
         << "-"       << this->reconConvergence
         << ".fits";
      return ss.str();
    }
    else return this->fileOutputRecon;
  }

  std::string Param::outputResidFile()
  {
    /// This function produces the required filename in which to save
    ///  the reconstructed array. If the input image is image.fits, then
    ///  the output will be eg. image.RESID-3-2-4-1.fits, where the numbers are
    ///  3=reconDim, 2=filterCode, 4=snrRecon, 1=scaleMin

    if(this->fileOutputResid==""){
      std::string inputName = this->imageFile;
      std::stringstream ss;
      // First we remove the ".fits" from the end of the filename.
      ss << inputName.substr(0,inputName.size()-5);
      if(this->flagSubsection) ss<<".sub";
      ss << ".RESID-" << this->reconDim 
         << "-"       << this->filterCode
         << "-"       << this->snrRecon
         << "-"       << this->scaleMin
         << "-"       << this->scaleMax
         << "-"       << this->reconConvergence
         << ".fits";
      return ss.str();
    }
    else return this->fileOutputResid;
  }

}