source: trunk/src/param.cc @ 348

// -----------------------------------------------------------------------
// 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 <stdlib.h>
#include <ctype.h>
#include <math.h>
#include <param.hh>
#include <fitsHeader.hh>
#include <duchamp.hh>
#include <ATrous/filter.hh>
#include <Utils/utils.hh>
#include <Utils/Section.hh>


/****************************************************************/
///////////////////////////////////////////////////
//// 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!
   */
  std::string baseSection = "[*,*,*]";
  // Input files
  this->imageFile         = "";
  this->flagSubsection    = false;
  this->pixelSec.setSection(baseSection);
  this->flagReconExists   = false;
  this->reconFile         = "";
  this->flagSmoothExists  = false;
  this->smoothFile        = "";
  // Output files
  this->flagLog           = false;
  this->logFile           = "duchamp-Logfile.txt";
  this->outFile           = "duchamp-Results.txt";
  this->spectraFile       = "duchamp-Spectra.ps";
  this->flagOutputSmooth  = false;
  this->flagOutputRecon   = false;
  this->flagOutputResid   = false;
  this->flagVOT           = false;
  this->votFile           = "duchamp-Results.xml";
  this->flagKarma         = false;
  this->karmaFile         = "duchamp-Results.ann";
  this->flagMaps          = true;
  this->detectionMap      = "duchamp-DetectionMap.ps";
  this->momentMap         = "duchamp-MomentMap.ps";
  this->flagXOutput       = true;
  // Cube related parameters 
  this->flagBlankPix      = true;
  this->blankPixValue     = -8.00061;
  this->blankKeyword      = 1;
  this->bscaleKeyword     = -8.00061;
  this->bzeroKeyword      = 0.;
  // Milky-Way parameters
  this->flagMW            = false;
  this->maxMW             = 112;
  this->minMW             = 75;
  this->numPixBeam        = 10.;
  this->flagUsingBeam     = false;
  // 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         = 2.;
  // FDR analysis         
  this->flagFDR           = false;
  this->alphaFDR          = 0.01;
  // Other detection      
  this->flagStatSec       = false;
  this->statSec.setSection(baseSection);
  this->snrCut            = 3.;
  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->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;
  // Input-Output related
  this->spectralMethod    = "peak";
  this->spectralUnits     = "km/s";
  this->pixelCentre       = "centroid";
  this->borders           = true;
  this->blankEdge         = true;
  this->verbose           = true;
};

Param::Param (const Param& p)
{
  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->flagLog           = p.flagLog;        
  this->logFile           = p.logFile;       
  this->outFile           = p.outFile;        
  this->spectraFile       = p.spectraFile;    
  this->flagOutputSmooth  = p.flagOutputSmooth;
  this->flagOutputRecon   = p.flagOutputRecon;
  this->flagOutputResid   = p.flagOutputResid;
  this->flagVOT           = p.flagVOT;         
  this->votFile           = p.votFile;        
  this->flagKarma         = p.flagKarma;      
  this->karmaFile         = p.karmaFile;      
  this->flagMaps          = p.flagMaps;       
  this->detectionMap      = p.detectionMap;   
  this->momentMap         = p.momentMap;      
  this->flagXOutput       = p.flagXOutput;       
  this->flagBlankPix      = p.flagBlankPix;   
  this->blankPixValue     = p.blankPixValue;  
  this->blankKeyword      = p.blankKeyword;   
  this->bscaleKeyword     = p.bscaleKeyword;  
  this->bzeroKeyword      = p.bzeroKeyword;   
  this->flagMW            = p.flagMW;         
  this->maxMW             = p.maxMW;          
  this->minMW             = p.minMW;         
  this->numPixBeam        = p.numPixBeam;     
  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->flagNegative      = p.flagNegative;
  this->flagGrowth        = p.flagGrowth;
  this->growthCut         = p.growthCut;
  this->flagFDR           = p.flagFDR;
  this->alphaFDR          = p.alphaFDR;
  this->flagStatSec       = p.flagStatSec; 
  this->statSec           = p.statSec; 
  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->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->spectralMethod    = p.spectralMethod;
  this->spectralUnits     = p.spectralUnits;
  this->pixelCentre       = p.pixelCentre;
  this->borders           = p.borders;
  this->verbose           = p.verbose;
}

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->flagLog           = p.flagLog;        
  this->logFile           = p.logFile;       
  this->outFile           = p.outFile;        
  this->spectraFile       = p.spectraFile;    
  this->flagOutputSmooth  = p.flagOutputSmooth;
  this->flagOutputRecon   = p.flagOutputRecon;
  this->flagOutputResid   = p.flagOutputResid;
  this->flagVOT           = p.flagVOT;         
  this->votFile           = p.votFile;        
  this->flagKarma         = p.flagKarma;      
  this->karmaFile         = p.karmaFile;      
  this->flagMaps          = p.flagMaps;       
  this->detectionMap      = p.detectionMap;   
  this->momentMap         = p.momentMap;      
  this->flagXOutput       = p.flagXOutput;       
  this->flagBlankPix      = p.flagBlankPix;   
  this->blankPixValue     = p.blankPixValue;  
  this->blankKeyword      = p.blankKeyword;   
  this->bscaleKeyword     = p.bscaleKeyword;  
  this->bzeroKeyword      = p.bzeroKeyword;   
  this->flagMW            = p.flagMW;         
  this->maxMW             = p.maxMW;          
  this->minMW             = p.minMW;         
  this->numPixBeam        = p.numPixBeam;     
  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->flagNegative      = p.flagNegative;
  this->flagGrowth        = p.flagGrowth;
  this->growthCut         = p.growthCut;
  this->flagFDR           = p.flagFDR;
  this->alphaFDR          = p.alphaFDR;
  this->flagStatSec       = p.flagStatSec; 
  this->statSec           = p.statSec; 
  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->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->spectralMethod    = p.spectralMethod;
  this->spectralUnits     = p.spectralUnits;
  this->pixelCentre       = p.pixelCentre;
  this->borders           = p.borders;
  this->verbose           = p.verbose;
  return *this;
}
//--------------------------------------------------------------------

int Param::getopts(int argc, char ** argv)
{
  /**  
   *   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.
   */

  int returnValue = FAILURE;
  if(argc==1){
    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){
          std::stringstream errmsg;
          errmsg << "Could not open parameter file " << file << ".\n";
          duchampError("Duchamp",errmsg.str());
        }
        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 :
        std::cout << ERR_USAGE_MSG;
        break;
      }
    }
    if(changeX){
      if(returnValue == SUCCESS) this->setFlagXOutput(false);
      else {
        duchampError("Duchamp",
                     "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, int 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(int i=0;i<size;i++) mask[i] = !this->isBlank(array[i]);
  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 ( flagMW && (z>=minMW) && (z<=maxMW) );
}

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);
  };

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

std::string makelower( std::string s )
{
  // "borrowed" from Matt Howlett's 'fred'
  std::string out = "";
  for( int i=0; i<s.size(); ++i ) {
    out += tolower(s[i]);
  }
  return out;
}

inline std::string stringize(bool b)
{
  /** 
   * Convert a bool variable to the textual equivalent. 
   * \return A std::string with the english equivalent of the bool.
   */
  std::string output;
  if(b) output="true";
  else output="false";
  return output;
}

inline bool boolify( std::string s )
{
  /**
   *  Convert a std::string to a bool variable: 
   *  "1" and "true" get converted to true;
   *  "0" and "false" (and anything else) get converted to false.
   * \return The bool equivalent of the string.
   */
  if((s=="1") || (makelower(s)=="true")) return true;
  else if((s=="0") || (makelower(s)=="false")) return false;
  else return false;
}

inline std::string readSval(std::stringstream& ss)
{
  std::string val; ss >> val; return val;
}

inline bool readFlag(std::stringstream& ss)
{
  std::string val; ss >> val; return boolify(val);
}

inline float readFval(std::stringstream& ss)
{
  float val; ss >> val; return val;
}

inline int readIval(std::stringstream& ss)
{
  int val; ss >> val; return val;
}

int 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.
   */
  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 = readSval(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=="flaglog")         this->flagLog = readFlag(ss); 
      if(arg=="logfile")         this->logFile = readSval(ss); 
      if(arg=="outfile")         this->outFile = readSval(ss); 
      if(arg=="spectrafile")     this->spectraFile = readSval(ss); 
      if(arg=="flagoutputsmooth")this->flagOutputSmooth = readFlag(ss); 
      if(arg=="flagoutputrecon") this->flagOutputRecon = readFlag(ss); 
      if(arg=="flagoutputresid") this->flagOutputResid = readFlag(ss); 
      if(arg=="flagvot")         this->flagVOT = readFlag(ss); 
      if(arg=="votfile")         this->votFile = readSval(ss); 
      if(arg=="flagkarma")       this->flagKarma = readFlag(ss); 
      if(arg=="karmafile")       this->karmaFile = readSval(ss); 
      if(arg=="flagmaps")        this->flagMaps = readFlag(ss); 
      if(arg=="detectionmap")    this->detectionMap = readSval(ss); 
      if(arg=="momentmap")       this->momentMap = readSval(ss); 
      if(arg=="flagxoutput")     this->flagXOutput = readFlag(ss); 

      if(arg=="flagnegative")    this->flagNegative = readFlag(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=="beamsize")        this->numPixBeam = readFval(ss); 

      if(arg=="flagbaseline")    this->flagBaseline = 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=="flagfdr")         this->flagFDR = readFlag(ss); 
      if(arg=="alphafdr")        this->alphaFDR = readFval(ss); 

      if(arg=="flagstatsec")     this->flagStatSec = readFlag(ss); 
      if(arg=="statsec")         this->statSec.setSection(readSval(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=="filtercode"){
                                 this->filterCode = readIval(ss); 
                                 this->reconFilter.define(this->filterCode);
      }

      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=="spectralmethod")  this->spectralMethod=makelower(readSval(ss));
      if(arg=="spectralunits")   this->spectralUnits = makelower(readSval(ss));
      if(arg=="pixelcentre")     this->pixelCentre = 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);
        std::stringstream errmsg;
        errmsg <<"The parameter flagBlankPix is deprecated. "
               <<"Please use the flagTrim parameter in future.\n"
               <<"Setting flagTrim = " << stringize(this->flagTrim) << ".\n";
        duchampWarning("Reading parameters",errmsg.str());
      }
      if(arg=="blankpixvalue"){
        std::stringstream errmsg;
        errmsg <<"The parameter blankPixValue is deprectated.\n"
               <<"This value is only taken from the FITS header.\n";
        duchampWarning("Reading parameters",errmsg.str());
      }

    }
  }

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

  // Make sure smoothType is an acceptable type -- default is "spectral"
  if((this->smoothType!="spectral")&&
     (this->smoothType!="spatial")){
    std::stringstream errmsg;
    errmsg << "The requested value of the parameter smoothType, \""
           << this->smoothType << "\" is invalid.\n"
           << "Changing to \"spectral\".\n";
    duchampWarning("Reading parameters",errmsg.str());
    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")){
    std::stringstream errmsg;
    errmsg << "The requested value of the parameter spectralMethod, \""
           << this->spectralMethod << "\" is invalid.\n"
           << "Changing to \"peak\".\n";
    duchampWarning("Reading parameters",errmsg.str());
    this->spectralMethod = "peak";
  }

  // Make sure pixelCentre is an acceptable type -- default is "peak"
  if((this->pixelCentre!="centroid")&&
     (this->pixelCentre!="average") &&
     (this->pixelCentre!="peak")       ){
    std::stringstream errmsg;
    errmsg << "The requested value of the parameter pixelCentre, \""
           << this->pixelCentre << "\" is invalid.\n"
           << "Changing to \"centroid\".\n";
    duchampWarning("Reading parameters",errmsg.str());
    this->pixelCentre = "centroid";
  }

  return SUCCESS;
}


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.
   */

  // Only show the [beamSize] bit if we are using the parameter
  // otherwise we have read it from the FITS header.
  std::string beamParam = "";
  if(par.getFlagUsingBeam()) beamParam = "[beamSize]";

  // 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('.');
  const int widthText = 38;
  const int widthPar  = 18;
  if(par.getFlagSubsection())
    theStream<<std::setw(widthText)<<"Image to be analysed"                 
             <<std::setw(widthPar)<<setiosflags(std::ios::right)<<"[imageFile]"
             <<"  =  " <<resetiosflags(std::ios::right)
             <<(par.getImageFile()+par.getSubsection()) <<std::endl;
  else 
    theStream<<std::setw(widthText)<<"Image to be analysed"                 
             <<std::setw(widthPar)<<setiosflags(std::ios::right)<<"[imageFile]"
             <<"  =  " <<resetiosflags(std::ios::right)
             <<par.getImageFile()      <<std::endl;
  if(par.getFlagReconExists() && par.getFlagATrous()){
    theStream<<std::setw(widthText)<<"Reconstructed array exists?"          
             <<std::setw(widthPar)<<setiosflags(std::ios::right)<<"[reconExists]"
             <<"  =  " <<resetiosflags(std::ios::right)
             <<stringize(par.getFlagReconExists())<<std::endl;
    theStream<<std::setw(widthText)<<"FITS file containing reconstruction"  
             <<std::setw(widthPar)<<setiosflags(std::ios::right)<<"[reconFile]"
             <<"  =  " <<resetiosflags(std::ios::right)
             <<par.getReconFile()      <<std::endl;
  }
  if(par.getFlagSmoothExists() && par.getFlagSmooth()){
    theStream<<std::setw(widthText)<<"Smoothed array exists?"          
             <<std::setw(widthPar)<<setiosflags(std::ios::right)<<"[smoothExists]"
             <<"  =  " <<resetiosflags(std::ios::right)
             <<stringize(par.getFlagSmoothExists())<<std::endl;
    theStream<<std::setw(widthText)<<"FITS file containing smoothed array"  
             <<std::setw(widthPar)<<setiosflags(std::ios::right)<<"[smoothFile]"
             <<"  =  " <<resetiosflags(std::ios::right)
             <<par.getSmoothFile()      <<std::endl;
  }
  theStream  <<std::setw(widthText)<<"Intermediate Logfile"
             <<std::setw(widthPar)<<setiosflags(std::ios::right)<<"[logFile]"
             <<"  =  " <<resetiosflags(std::ios::right)
             <<par.getLogFile()        <<std::endl;
  theStream  <<std::setw(widthText)<<"Final Results file"                   
             <<std::setw(widthPar)<<setiosflags(std::ios::right)<<"[outFile]"
             <<"  =  " <<resetiosflags(std::ios::right)
             <<par.getOutFile()        <<std::endl;
  theStream  <<std::setw(widthText)<<"Spectrum file"                        
             <<std::setw(widthPar)<<setiosflags(std::ios::right)<<"[spectraFile]"
             <<"  =  " <<resetiosflags(std::ios::right)
             <<par.getSpectraFile()    <<std::endl;
  if(par.getFlagVOT()){
    theStream<<std::setw(widthText)<<"VOTable file"                         
             <<std::setw(widthPar)<<setiosflags(std::ios::right)<<"[votFile]"
             <<"  =  " <<resetiosflags(std::ios::right)
             <<par.getVOTFile()        <<std::endl;
  }
  if(par.getFlagKarma()){
    theStream<<std::setw(widthText)<<"Karma annotation file"                
             <<std::setw(widthPar)<<setiosflags(std::ios::right)<<"[karmaFile]"
             <<"  =  " <<resetiosflags(std::ios::right)
             
             <<par.getKarmaFile()      <<std::endl;
  }
  if(par.getFlagMaps()){
    theStream<<std::setw(widthText)<<"0th Moment Map"                       
             <<std::setw(widthPar)<<setiosflags(std::ios::right)<<"[momentMap]"
             <<"  =  " <<resetiosflags(std::ios::right)
             <<par.getMomentMap()      <<std::endl;
    theStream<<std::setw(widthText)<<"Detection Map"                        
             <<std::setw(widthPar)<<setiosflags(std::ios::right)<<"[detectionMap]"
             <<"  =  " <<resetiosflags(std::ios::right)
             <<par.getDetectionMap()   <<std::endl;
  }
  theStream  <<std::setw(widthText)<<"Display a map in a pgplot xwindow?" 
             <<std::setw(widthPar)<<setiosflags(std::ios::right)<<"[flagXOutput]"
             <<"  =  " <<resetiosflags(std::ios::right)
             <<stringize(par.getFlagXOutput())     <<std::endl;
  if(par.getFlagATrous()){                             
    theStream<<std::setw(widthText)<<"Saving reconstructed cube?"           
             <<std::setw(widthPar)<<setiosflags(std::ios::right)<<"[flagOutputRecon]"
             <<"  =  " <<resetiosflags(std::ios::right)
             <<stringize(par.getFlagOutputRecon())<<std::endl;
    theStream<<std::setw(widthText)<<"Saving residuals from reconstruction?"
             <<std::setw(widthPar)<<setiosflags(std::ios::right)<<"[flagOutputResid]"
             <<"  =  " <<resetiosflags(std::ios::right)
             <<stringize(par.getFlagOutputResid())<<std::endl;
  }                                                    
  if(par.getFlagSmooth()){                             
    theStream<<std::setw(widthText)<<"Saving smoothed cube?"           
             <<std::setw(widthPar)<<setiosflags(std::ios::right)<<"[flagOutputSmooth]"
             <<"  =  " <<resetiosflags(std::ios::right)
             <<stringize(par.getFlagOutputSmooth())<<std::endl;
  }                                                    
  theStream  <<"------"<<std::endl;
  if(par.getFlagBlankPix()){
    theStream<<std::setw(widthText)<<"Blank Pixel Value"                    
             <<std::setw(widthPar)<<setiosflags(std::ios::right)<< ""
             <<"  =  " <<resetiosflags(std::ios::right)
             <<par.getBlankPixVal()    <<std::endl;
  }
  theStream  <<std::setw(widthText)<<"Trimming Blank Pixels?"                 
             <<std::setw(widthPar)<<setiosflags(std::ios::right)<<"[flagTrim]"
             <<"  =  " <<resetiosflags(std::ios::right)
             <<stringize(par.getFlagTrim())   <<std::endl;
  theStream  <<std::setw(widthText)<<"Searching for Negative features?"     
             <<std::setw(widthPar)<<setiosflags(std::ios::right)<<"[flagNegative]"
             <<"  =  " <<resetiosflags(std::ios::right)
             <<stringize(par.getFlagNegative())   <<std::endl;
  theStream  <<std::setw(widthText)<<"Removing Milky Way channels?"         
             <<std::setw(widthPar)<<setiosflags(std::ios::right)<<"[flagMW]"
             <<"  =  " <<resetiosflags(std::ios::right)
             <<stringize(par.getFlagMW())         <<std::endl;
  if(par.getFlagMW()){
    theStream<<std::setw(widthText)<<"Milky Way Channels"                   
             <<std::setw(widthPar)<<setiosflags(std::ios::right)<<"[minMW - maxMW]"
             <<"  =  " <<resetiosflags(std::ios::right)
             <<par.getMinMW()
             <<"-" <<par.getMaxMW()          <<std::endl;
  }
  theStream  <<std::setw(widthText)<<"Beam Size (pixels)"                   
             <<std::setw(widthPar)<<setiosflags(std::ios::right)<< beamParam
             <<"  =  " <<resetiosflags(std::ios::right)
             <<par.getBeamSize()       <<std::endl;
  theStream  <<std::setw(widthText)<<"Removing baselines before search?"    
             <<std::setw(widthPar)<<setiosflags(std::ios::right)<<"[flagBaseline]"
             <<"  =  " <<resetiosflags(std::ios::right)
             <<stringize(par.getFlagBaseline())   <<std::endl;
  theStream  <<std::setw(widthText)<<"Smoothing each spectrum first?"        
             <<std::setw(widthPar)<<setiosflags(std::ios::right)<<"[flagSmooth]"
             <<"  =  " <<resetiosflags(std::ios::right)
             <<stringize(par.getFlagSmooth())     <<std::endl;
  if(par.getFlagSmooth()){             
    theStream<<std::setw(widthText)<<"Type of smoothing"      
             <<std::setw(widthPar)<<setiosflags(std::ios::right)<<"[smoothType]"
             <<"  =  " <<resetiosflags(std::ios::right)
             <<par.getSmoothType()       <<std::endl;
    if(par.getSmoothType()=="spectral")
      theStream<<std::setw(widthText)<<"Width of hanning filter"      
               <<std::setw(widthPar)<<setiosflags(std::ios::right)<<"[hanningWidth]"
               <<"  =  " <<resetiosflags(std::ios::right)
               <<par.getHanningWidth()       <<std::endl;
    else{
      theStream<<std::setw(widthText)<<"Gaussian kernel semi-major axis [pix]"
               <<std::setw(widthPar)<<setiosflags(std::ios::right)<<"[kernMaj]"
               <<"  =  " <<resetiosflags(std::ios::right)
               <<par.getKernMaj() << std::endl;
      theStream<<std::setw(widthText)<<"Gaussian kernel semi-minor axis [pix]"
               <<std::setw(widthPar)<<setiosflags(std::ios::right)<<"[kernMin]"
               <<"  =  " <<resetiosflags(std::ios::right)
               <<par.getKernMin() << std::endl;
      theStream<<std::setw(widthText)<<"Gaussian kernel position angle [deg]"
               <<std::setw(widthPar)<<setiosflags(std::ios::right)<<"[kernPA]"
               <<"  =  " <<resetiosflags(std::ios::right)
               <<par.getKernPA() << std::endl;
    }
  }
  theStream  <<std::setw(widthText)<<"Using A Trous reconstruction?"        
             <<std::setw(widthPar)<<setiosflags(std::ios::right)<<"[flagATrous]"
             <<"  =  " <<resetiosflags(std::ios::right)
             <<stringize(par.getFlagATrous())     <<std::endl;
  if(par.getFlagATrous()){                             
    theStream<<std::setw(widthText)<<"Number of dimensions in reconstruction"      
             <<std::setw(widthPar)<<setiosflags(std::ios::right)<<"[reconDim]"
             <<"  =  " <<resetiosflags(std::ios::right)
             <<par.getReconDim()       <<std::endl;
    if(par.getMaxScale()>0){
      theStream<<std::setw(widthText-1)<<"Scales used in reconstruction"      
               <<std::setw(widthPar)<<setiosflags(std::ios::right)<<"[scaleMin-scaleMax]"
               <<"  =  " <<resetiosflags(std::ios::right)
               <<par.getMinScale() << "-" << par.getMaxScale()   <<std::endl;
    }
    else{
      theStream<<std::setw(widthText)<<"Minimum scale in reconstruction"      
               <<std::setw(widthPar)<<setiosflags(std::ios::right)<<"[scaleMin]"
               <<"  =  " <<resetiosflags(std::ios::right)
               <<par.getMinScale()      <<std::endl;
    }
    theStream<<std::setw(widthText)<<"SNR Threshold within reconstruction"  
             <<std::setw(widthPar)<<setiosflags(std::ios::right)<<"[snrRecon]"
             <<"  =  " <<resetiosflags(std::ios::right)
             <<par.getAtrousCut()      <<std::endl;
    theStream<<std::setw(widthText)<<"Filter being used for reconstruction" 
             <<std::setw(widthPar)<<setiosflags(std::ios::right)<<"[filterCode]"
             <<"  =  " <<resetiosflags(std::ios::right)
             <<par.getFilterCode() 
             << " (" << par.getFilterName()  << ")" <<std::endl;
  }                                                    
  if(par.getFlagStatSec()){
    theStream<<std::setw(widthText)<<"Section used by statistics calculation"
             <<std::setw(widthPar)<<setiosflags(std::ios::right)<<"[statSec]"
             <<"  =  " <<resetiosflags(std::ios::right)
             <<par.statSec.getSection()          <<std::endl;
  }
  theStream  <<std::setw(widthText)<<"Using FDR analysis?"                  
             <<std::setw(widthPar)<<setiosflags(std::ios::right)<<"[flagFDR]"
             <<"  =  " <<resetiosflags(std::ios::right)
             <<stringize(par.getFlagFDR())        <<std::endl;
  if(par.getFlagFDR()){                                
    theStream<<std::setw(widthText)<<"Alpha value for FDR analysis"         
             <<std::setw(widthPar)<<setiosflags(std::ios::right)<<"[alphaFDR]"
             <<"  =  " <<resetiosflags(std::ios::right)
             <<par.getAlpha()          <<std::endl;
  }                                                    
  else {
    if(par.getFlagUserThreshold()){
      theStream<<std::setw(widthText)<<"Detection Threshold"                        
               <<std::setw(widthPar)<<setiosflags(std::ios::right)<<"[threshold]"
               <<"  =  " <<resetiosflags(std::ios::right)
               <<par.getThreshold()            <<std::endl;
    }
    else{
      theStream<<std::setw(widthText)<<"SNR Threshold (in sigma)"
               <<std::setw(widthPar)<<setiosflags(std::ios::right)<<"[snrCut]"
               <<"  =  " <<resetiosflags(std::ios::right)
               <<par.getCut()            <<std::endl;
    }
  }
  theStream  <<std::setw(widthText)<<"Minimum # Pixels in a detection"      
             <<std::setw(widthPar)<<setiosflags(std::ios::right)<<"[minPix]"
             <<"  =  " <<resetiosflags(std::ios::right)
             <<par.getMinPix()         <<std::endl;
  theStream  <<std::setw(widthText)<<"Minimum # Channels in a detection"    
             <<std::setw(widthPar)<<setiosflags(std::ios::right)<<"[minChannels]"
             <<"  =  " <<resetiosflags(std::ios::right)
             <<par.getMinChannels()    <<std::endl;
  theStream  <<std::setw(widthText)<<"Growing objects after detection?"     
             <<std::setw(widthPar)<<setiosflags(std::ios::right)<<"[flagGrowth]"
             <<"  =  " <<resetiosflags(std::ios::right)
             <<stringize(par.getFlagGrowth())     <<std::endl;
  if(par.getFlagGrowth()) {                            
    theStream<<std::setw(widthText)<<"SNR Threshold for growth"             
             <<std::setw(widthPar)<<setiosflags(std::ios::right)<<"[growthCut]"
             <<"  =  " <<resetiosflags(std::ios::right)
             <<par.getGrowthCut()      <<std::endl;
  }
  theStream  <<std::setw(widthText)<<"Using Adjacent-pixel criterion?"      
             <<std::setw(widthPar)<<setiosflags(std::ios::right)<<"[flagAdjacent]"
             <<"  =  " <<resetiosflags(std::ios::right)
             <<stringize(par.getFlagAdjacent())   <<std::endl;
  if(!par.getFlagAdjacent()){
    theStream<<std::setw(widthText)<<"Max. spatial separation for merging"  
             <<std::setw(widthPar)<<setiosflags(std::ios::right)<<"[threshSpatial]"
             <<"  =  " <<resetiosflags(std::ios::right)
             <<par.getThreshS()        <<std::endl;
  }
  theStream  <<std::setw(widthText)<<"Max. velocity separation for merging" 
             <<std::setw(widthPar)<<setiosflags(std::ios::right)<<"[threshVelocity]"
             <<"  =  " <<resetiosflags(std::ios::right)
             <<par.getThreshV()        <<std::endl;
  theStream  <<std::setw(widthText)<<"Method of spectral plotting"          
             <<std::setw(widthPar)<<setiosflags(std::ios::right)<<"[spectralMethod]"
             <<"  =  " <<resetiosflags(std::ios::right)
             <<par.getSpectralMethod() <<std::endl;
  theStream  <<std::setw(widthText)<<"Type of object centre used in results"
             <<std::setw(widthPar)<<setiosflags(std::ios::right)<<"[pixelCentre]"
             <<"  =  " <<resetiosflags(std::ios::right)
             <<par.getPixelCentre() <<std::endl;
  theStream  <<"--------------------\n\n";
  theStream  << std::setfill(' ');
  theStream.unsetf(std::ios::left);
  //  theStream.unsetf(std::ios::boolalpha);
  return theStream;
}


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;

  this->numPixBeam    = head.getBeamSize();
}

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>
   */
  std::string inputName = this->imageFile;
  std::stringstream ss;
  ss << inputName.substr(0,inputName.size()-5);  
                          // remove the ".fits" on the end.
  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();
}

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
   */
  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
     << ".fits";
  return ss.str();
}

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
   */
  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
     << ".fits";
  return ss.str();
}