source: tags/release-1.1.11/src/Cubes/readSmooth.cc @ 1441

// -----------------------------------------------------------------------
// readSmooth.cc: Read in an existing smoothed FITS file.
// -----------------------------------------------------------------------
// 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 <sstream>
#include <string>
#include <wcslib/wcs.h>
#include <wcslib/wcshdr.h>
#define WCSLIB_GETWCSTAB // define this so that we don't try to redefine wtbarr
                         // (this is a problem when using gcc v.4+
#include <fitsio.h>
#include <duchamp/duchamp.hh>
#include <duchamp/Cubes/cubes.hh>

namespace duchamp
{

  OUTCOME Cube::readSmoothCube()
  {
    ///  @details
    ///   A way to read in a previously smoothed array, corresponding 
    ///    to the requested parameters, or in the filename given by smoothFile.
    ///   Performs various tests to make sure there are no clashes between 
    ///    the requested parameters and those stored in the header of the 
    ///    FITS file. Also test to make sure that the size (and subsection, 
    ///    if applicable) of the array is the same.


    int status = 0;

    if(!this->par.getFlagSmoothExists()){
      duchampWarning("readSmoothCube",
                     "flagSmoothExists is not set. Not reading anything in!\n");
      return FAILURE;
    }
    else if(!this->par.getFlagSmooth()){
      duchampWarning("readSmoothCube",
                     "flagSmooth is not set. Don't need to read in smoothed array!\n");
      return FAILURE;
    }
    else {

      // if kernMin is negative (not defined), make it equal to kernMaj
      if(this->par.getKernMin() < 0) 
        this->par.setKernMin(this->par.getKernMaj());

      // Check to see whether the parameter smoothFile is defined
      bool smoothGood = false;
      int exists;
      std::stringstream errmsg;
      if(this->par.getSmoothFile() != ""){
        smoothGood = true;
        fits_file_exists(this->par.getSmoothFile().c_str(),&exists,&status);
        if(exists<=0){
          fits_report_error(stderr, status);
          errmsg<< "Cannot find requested SmoothFile. Trying with parameters.\n"
                << "Bad smoothFile was: "<<this->par.getSmoothFile() <<std::endl;
          duchampWarning("readSmoothCube", errmsg.str());
          smoothGood = false;
        }
      }
      else{
        errmsg<< "SmoothFile not specified. Working out name from parameters.\n";
      }
  
      if(!smoothGood){ // if bad, need to look at parameters

        std::string smoothFile = this->par.outputSmoothFile();
        errmsg << "Trying file " << smoothFile << std::endl;
        duchampWarning("readSmoothCube", errmsg.str() );
        smoothGood = true;
        fits_file_exists(smoothFile.c_str(),&exists,&status);
        if(exists<=0){
          fits_report_error(stderr, status);
          //    duchampWarning("readSmoothCube","SmoothFile not present.\n");
          smoothGood = false;
        }

        if(smoothGood){ 
          // were able to open this new file -- use this, so reset the 
          //  relevant parameter
          this->par.setSmoothFile(smoothFile);
        }
        else { // if STILL bad, give error message and exit.
          duchampError("readSmoothCube","Cannot find Smoothed file.\n");
          return FAILURE;
        }

      }

      // if we get to here, smoothGood is true (ie. file is open);

      status=0;
      fitsfile *fptr;
      fits_open_file(&fptr,this->par.getSmoothFile().c_str(),READONLY,&status);
      short int maxdim=3;
      long *fpixel = new long[maxdim];
      for(int i=0;i<maxdim;i++) fpixel[i]=1;
      long *dimAxesNew = new long[maxdim];
      for(int i=0;i<maxdim;i++) dimAxesNew[i]=1;
      int bitpix,numAxesNew,anynul;

      status = 0;
      fits_get_img_param(fptr,maxdim,&bitpix,&numAxesNew,dimAxesNew,&status);
      if(status){
        fits_report_error(stderr, status);
        return FAILURE;
      }

      if(numAxesNew != this->numDim){
        std::stringstream errmsg;
        errmsg << "Smoothed cube has a different number of axes to original!"
               << " (" << numAxesNew << " cf. " << this->numDim << ")\n";
        duchampError("readSmoothCube", errmsg.str());
        return FAILURE;
      }

      for(int i=0;i<numAxesNew;i++){
        if(dimAxesNew[i]!=this->axisDim[i]){
          std::stringstream errmsg;
          errmsg << "Smoothed cube has different axis dimensions to original!"
                 << "\nAxis #" << i+1 << " has size " << dimAxesNew[i] 
                 << " cf. " << this->axisDim[i] <<" in original.\n";    
          duchampError("readSmoothCube", errmsg.str());
          return FAILURE;
        }
      }

      char *comment = new char[80];

      if(this->par.getFlagSubsection()){
        char *subsection = new char[80];
        status = 0;
        fits_read_key(fptr, TSTRING, (char *)keyword_subsection.c_str(), 
                      subsection, comment, &status);
        if(status){
          duchampError("readSmoothCube", 
                       "subsection keyword not present in smoothFile.\n");
          return FAILURE;
        }
        else{
          if(this->par.getSubsection() != subsection){
            std::stringstream errmsg;
            errmsg << "subsection keyword in smoothFile (" << subsection 
                   << ") does not match that requested (" 
                   << this->par.getSubsection() << ").\n";
            duchampError("readSmoothCube", errmsg.str());
            return FAILURE;
          }
        }
        delete subsection;
      }

      if(this->par.getSmoothType()=="spectral"){

        int hannWidth;
        status = 0;
        fits_read_key(fptr, TINT, (char *)keyword_hanningwidth.c_str(), 
                      &hannWidth, comment, &status);
        if(hannWidth != this->par.getHanningWidth()){
          std::stringstream errmsg;
          errmsg << keyword_hanningwidth << " keyword in smoothFile (" 
                 << hannWidth << ") does not match the hanningWidth parameter (" 
                 << this->par.getHanningWidth() << ").\n";
          duchampError("readSmoothCube", errmsg.str());
          return FAILURE;
        }

      }
      else if(this->par.getSmoothType()=="spatial"){

        float maj,min,pa;
        status = 0;
        fits_read_key(fptr, TFLOAT, (char *)keyword_kernmaj.c_str(), 
                      &maj, comment, &status);
        if(maj != this->par.getKernMaj()){
          std::stringstream errmsg;
          errmsg << keyword_kernmaj << " keyword in smoothFile (" 
                 << maj << ") does not match the kernMaj parameter (" 
                 << this->par.getKernMaj() << ").\n";
          duchampError("readSmoothCube", errmsg.str());
          return FAILURE;
        }
        status = 0;
        fits_read_key(fptr, TFLOAT, (char *)keyword_kernmin.c_str(), 
                      &min, comment, &status);
        if(min != this->par.getKernMin()){
          std::stringstream errmsg;
          errmsg << keyword_kernmin << " keyword in smoothFile (" 
                 << maj << ") does not match the kernMin parameter (" 
                 << this->par.getKernMin() << ").\n";
          duchampError("readSmoothCube", errmsg.str());
          return FAILURE;
        }
        status = 0;
        fits_read_key(fptr, TFLOAT, (char *)keyword_kernpa.c_str(), 
                      &pa, comment, &status);
        if(pa != this->par.getKernPA()){
          std::stringstream errmsg;
          errmsg << keyword_kernpa << " keyword in smoothFile (" 
                 << maj << ") does not match the kernPA parameter (" 
                 << this->par.getKernPA() << ").\n";
          duchampError("readSmoothCube", errmsg.str());
          return FAILURE;
        }

      }

      //
      // If we get to here, the smoothFile exists and the smoothing
      // parameters match those requested.

      status = 0;
      fits_read_pix(fptr, TFLOAT, fpixel, this->numPixels, NULL, 
                    this->recon, &anynul, &status);
  
      status = 0;
      fits_close_file(fptr, &status);
      if (status){
        duchampWarning("readSmoothCube", "Error closing file: ");
        fits_report_error(stderr, status);
      }

      // We don't want to write out the smoothed files at the end
      this->par.setFlagOutputSmooth(false);

      // The reconstruction is done -- set the appropriate flag
      this->reconExists = true;

      return SUCCESS;
    }
  }

}