bioem.cpp 59.4 KB
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/* ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
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   < BioEM software for Bayesian inference of Electron Microscopy images>
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   Copyright (C) 2016 Pilar Cossio, David Rohr, Fabio Baruffa, Markus Rampp, 
	Volker Lindenstruth and Gerhard Hummer.
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   Max Planck Institute of Biophysics, Frankfurt, Germany.
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   Frankfurt Institute for Advanced Studies, Goethe University Frankfurt, Germany.
   Max Planck Computing and Data Facility, Garching, Germany. 
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   Released under the GNU Public License, v3. 
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   See license statement for terms of distribution.
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   ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++*/
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#ifdef WITH_MPI
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#include <mpi.h>

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#define MPI_CHK(expr)							\
  if (expr != MPI_SUCCESS)						\
    {									\
      fprintf(stderr, "Error in MPI function %s: %d\n", __FILE__, __LINE__); \
    }
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#endif
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#include <fstream>
#include <boost/program_options.hpp>
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#include <boost/random/normal_distribution.hpp>
#include <boost/random/uniform_int_distribution.hpp>
#include <boost/random/mersenne_twister.hpp>
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#include <iostream>
#include <algorithm>
#include <iterator>
#include <stdio.h>
#include <stdlib.h>
#include <string>
#include <cmath>
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#ifdef WITH_OPENMP
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#include <omp.h>
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#endif
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#include <fftw3.h>
#include <math.h>
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#include "timer.h"
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#include "param.h"
#include "bioem.h"
#include "model.h"
#include "map.h"

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#ifdef BIOEM_USE_NVTX
#include "nvToolsExt.h"

const uint32_t colors[] = { 0x0000ff00, 0x000000ff, 0x00ffff00, 0x00ff00ff, 0x0000ffff, 0x00ff0000, 0x00ffffff };
const int num_colors = sizeof(colors)/sizeof(colors[0]);

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#define cuda_custom_timeslot(name,cid) {		\
    int color_id = cid;					\
    color_id = color_id%num_colors;			\
    nvtxEventAttributes_t eventAttrib = {0};		\
    eventAttrib.version = NVTX_VERSION;			\
    eventAttrib.size = NVTX_EVENT_ATTRIB_STRUCT_SIZE;	\
    eventAttrib.colorType = NVTX_COLOR_ARGB;		\
    eventAttrib.color = colors[color_id];		\
    eventAttrib.messageType = NVTX_MESSAGE_TYPE_ASCII;	\
    eventAttrib.message.ascii = name;			\
    nvtxRangePushEx(&eventAttrib);			\
  }
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#define cuda_custom_timeslot_end nvtxRangePop();
#else
#define cuda_custom_timeslot(name,cid)
#define cuda_custom_timeslot_end
#endif
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#include "bioem_algorithm.h"

using namespace boost;
namespace po = boost::program_options;
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namespace bran= boost::random;
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using namespace std;

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/* For dvl nodes in hydra with problem in boost
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   namespace std {
   typedef decltype(nullptr) nullptr_t;
   }*/
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// A helper function of Boost
template<class T>
ostream& operator<<(ostream& os, const vector<T>& v)
{
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  copy(v.begin(), v.end(), ostream_iterator<T>(os, " "));
  return os;
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}

bioem::bioem()
{
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  FFTAlgo = getenv("FFTALGO") == NULL ? 1 : atoi(getenv("FFTALGO"));
  DebugOutput = getenv("BIOEM_DEBUG_OUTPUT") == NULL ? 2 : atoi(getenv("BIOEM_DEBUG_OUTPUT"));
  nProjectionsAtOnce = getenv("BIOEM_PROJECTIONS_AT_ONCE") == NULL ? 1 : atoi(getenv("BIOEM_PROJECTIONS_AT_ONCE"));
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  Autotuning = getenv("BIOEM_AUTOTUNING") == NULL ? 0 : atoi(getenv("BIOEM_AUTOTUNING"));
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}

bioem::~bioem()
{
}

int bioem::configure(int ac, char* av[])
{
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  // **************************************************************************************
  // **** Configuration Routine using boost for extracting parameters, models and maps ****
  // **************************************************************************************
  // ****** And Precalculating necessary grids, map crosscorrelations and kernels  ********
  // *************************************************************************************

  HighResTimer timer;

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  std::string infile, modelfile, mapfile,Inputanglefile,Inputbestmap; 
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  if (mpi_rank == 0)
    {
      // *** Inizialzing default variables ***
      std::string infile, modelfile, mapfile,Inputanglefile,Inputbestmap;
      Model.readPDB = false;
      param.param_device.writeAngles = false;
      param.dumpMap = false;
      param.loadMap = false;
      RefMap.readMRC = false;
      RefMap.readMultMRC = false;
      param.notuniformangles=false;
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      yesoutfilename=false;
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      // *************************************************************************************
      cout << " ++++++++++++ FROM COMMAND LINE +++++++++++\n\n";
      // *************************************************************************************

      // ********************* Command line reading input with BOOST ************************

      try {
	po::options_description desc("Command line inputs");
	desc.add_options()
	  ("Modelfile", po::value< std::string>() , "(Mandatory) Name of model file")
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	  ("Particlesfile", po::value< std::string>(), "if BioEM (Mandatory) Name of particle-image file")
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	  ("Inputfile", po::value<std::string>(), "if BioEM (Mandatory) Name of input parameter file") 
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	  ("PrintBestCalMap", po::value< std::string>(), "(Optional) Only print best calculated map. NO BioEM (!)")
	  ("ReadOrientation", po::value< std::string>(), "(Optional) Read file name containing orientations")
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	  ("ReadPDB", "(Optional) If reading model file in PDB format")
	  ("ReadMRC", "(Optional) If reading particle file in MRC format")
	  ("ReadMultipleMRC", "(Optional) If reading Multiple MRCs")
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	  ("DumpMaps", "(Optional) Dump maps after they were read from particle-image file")
	  ("LoadMapDump", "(Optional) Read Maps from dump option")
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	  ("OutputFile",  po::value< std::string>(), "(Optional) For changing the outputfile name")
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	  ("help", "(Optional) Produce help message")
	  ;


	po::positional_options_description p;
	p.add("Inputfile", -1);
	p.add("Modelfile", -1);
	p.add("Particlesfile", -1);
	p.add("ReadPDB", -1);
	p.add("ReadMRC", -1);
	p.add("ReadMultipleMRC", -1);
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	p.add("ReadOrientation",-1);
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	p.add("PrintBestCalMap",-1);
	p.add("DumpMaps", -1);
	p.add("LoadMapDump", -1);
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        p.add("OutputFile",-1);
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	po::variables_map vm;
	po::store(po::command_line_parser(ac, av).
		  options(desc).positional(p).run(), vm);
	po::notify(vm);

	if((ac < 4)) {
	  std::cout << desc << std::endl;
	  return 1;
	}
	if (vm.count("help")) {
	  cout << "Usage: options_description [options]\n";
	  cout << desc;
	  return 1;
	}
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	if (vm.count("Inputfile"))
	  {
	    cout << "Input file is: ";
	    cout << vm["Inputfile"].as< std::string >() << "\n";
	    infile = vm["Inputfile"].as< std::string >();
	  }
	if (vm.count("Modelfile"))
	  {
	    cout << "Model file is: "
		 << vm["Modelfile"].as<  std::string  >() << "\n";
	    modelfile = vm["Modelfile"].as<  std::string  >();
	  }
	if (vm.count("ReadPDB"))
	  {
	    cout << "Reading model file in PDB format.\n";
	    Model.readPDB = true;
	  }
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	if (vm.count("ReadOrientation"))
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	  {
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	    cout << "Reading Orientation from file: "
		 << vm["ReadOrientation"].as<  std::string  >() << "\n";
	    cout << "Important! if using Quaternions, include \n";
	    cout << "QUATERNIONS keyword in INPUT PARAMETER FILE\n";
	    cout << "First row in file should be the total number of orientations (int)\n";
	    cout << "Euler angle format should be alpha (12.6f) beta (12.6f) gamma (12.6f)\n";
	    cout << "Quaternion format q1 (12.6f) q2 (12.6f) q3 (12.6f) q4 (12.6f)\n";
	    Inputanglefile = vm["ReadOrientation"].as<  std::string  >();
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	    param.notuniformangles=true;
	  }
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	if (vm.count("OutputFile"))
          {
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	    OutfileName = vm["OutputFile"].as< std::string >();
	    cout << "Writing OUTPUT to: " <<  vm["OutputFile"].as<  std::string  >() << "\n";
	    yesoutfilename=true;
	  }
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	if (vm.count("PrintBestCalMap"))
	  {
	    cout << "Reading Euler Angles from file: "
		 << vm["PrintBestCalMap"].as<  std::string  >() << "\n";
	    Inputbestmap = vm["PrintBestCalMap"].as<  std::string  >();
	    param.printModel=true;
	  }

	if (vm.count("ReadMRC"))
	  {
	    cout << "Reading particle file in MRC format.\n";
	    RefMap.readMRC=true;
	  }

	if (vm.count("ReadMultipleMRC"))
	  {
	    cout << "Reading Multiple MRCs.\n";
	    RefMap.readMultMRC=true;
	  }

	if (vm.count("DumpMaps"))
	  {
	    cout << "Dumping Maps after reading from file.\n";
	    param.dumpMap = true;
	  }

	if (vm.count("LoadMapDump"))
	  {
	    cout << "Loading Map dump.\n";
	    param.loadMap = true;
	  }

	if (vm.count("Particlesfile"))
	  {
	    cout << "Paricle file is: "
		 << vm["Particlesfile"].as< std::string >() << "\n";
	    mapfile = vm["Particlesfile"].as< std::string >();
	  }
      }
      catch(std::exception& e)
	{
	  cout << e.what() << "\n";
	  return 1;
	}
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      //check for consitency in multiple MRCs
      if(RefMap.readMultMRC && not(RefMap.readMRC))
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	{
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	  cout << "For Multiple MRCs command --ReadMRC is necesary too";
	  exit(1);
	}
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      if(!Model.readPDB){
	cout << "Note: Reading model in simple text format (not PDB)\n";
	cout << "----  x   y   z  radius  density ------- \n";
      } 
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      if (DebugOutput >= 2 && mpi_rank == 0) timer.ResetStart();
      // ********************* Reading Parameter Input ***************************
      if(!param.printModel){
	// Standard definition for BioEM
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	param.readParameters(infile.c_str());
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	// ********************* Reading Particle Maps Input **********************
	RefMap.readRefMaps(param, mapfile.c_str());
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      } else{
	// Reading parameters for only writting down Best projection
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	param.forprintBest(Inputbestmap.c_str());
      }	
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      // ********************* Reading Model Input ******************************
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      Model.readModel(param, modelfile.c_str());
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      cout << "**NOTE:: look at file COORDREAD to confirm that the Model coordinates are correct\n";
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      if (DebugOutput >= 2 && mpi_rank == 0) printf("Reading Input Data Time: %f\n", timer.GetCurrentElapsedTime());
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      if(param.param_device.writeCC && mpi_size>1){
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	cout << "Exiting::: WRITE CROSS-CORRELATION ONLY VAILD FOR 1 MPI PROCESS\n";
        exit(1);
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      }
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      // Generating Grids of orientations 
      if(!param.printModel)param.CalculateGridsParam(Inputanglefile.c_str());
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    }
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#ifdef WITH_MPI
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  // ********************* MPI inizialization/ Transfer of parameters******************
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  if (mpi_size > 1)
    {
      if (DebugOutput >= 2 && mpi_rank == 0) timer.ResetStart();
      MPI_Bcast(&param, sizeof(param), MPI_BYTE, 0, MPI_COMM_WORLD);
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      //We have to reinitialize all pointers !!!!!!!!!!!!
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      if (mpi_rank != 0) param.angprior = NULL;
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      if (mpi_rank != 0)param.angles =  (myfloat3_t*) mallocchk(param.nTotGridAngles  * sizeof (myfloat3_t));
      MPI_Bcast(param.angles, param.nTotGridAngles  * sizeof (myfloat3_t),MPI_BYTE, 0, MPI_COMM_WORLD);
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#ifdef DEBUG
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      for(int n=0;n<param.nTotGridAngles;n++){
	cout << "CHECK: Angle orient " << mpi_rank << " "<< n << " " <<  param.angles[n].pos[0] << " " <<  param.angles[n].pos[1] << " " << param.angles[n].pos[2] << " " << param.angles[n].quat4  << " " << "\n";} 
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#endif
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      //****refCtf, CtfParam, angles automatically filled by precalculate function bellow
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      MPI_Bcast(&Model, sizeof(Model), MPI_BYTE, 0, MPI_COMM_WORLD);
      if (mpi_rank != 0) Model.points = (bioem_model::bioem_model_point*) mallocchk(sizeof(bioem_model::bioem_model_point) * Model.nPointsModel);
      MPI_Bcast(Model.points, sizeof(bioem_model::bioem_model_point) * Model.nPointsModel, MPI_BYTE, 0, MPI_COMM_WORLD);

      MPI_Bcast(&RefMap, sizeof(RefMap), MPI_BYTE, 0, MPI_COMM_WORLD);
      if (mpi_rank != 0) RefMap.maps = (myfloat_t*) mallocchk(RefMap.refMapSize * sizeof(myfloat_t) * RefMap.ntotRefMap);
      MPI_Bcast(RefMap.maps, RefMap.refMapSize * sizeof(myfloat_t) * RefMap.ntotRefMap, MPI_BYTE, 0, MPI_COMM_WORLD);
      if (DebugOutput >= 2 && mpi_rank == 0) printf("MPI Broadcast of Input Data %f\n", timer.GetCurrentElapsedTime());
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    }
#endif
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  // ****************** Precalculating Necessary Stuff *********************
  if (DebugOutput >= 2 && mpi_rank == 0) timer.ResetStart();
  param.PrepareFFTs();
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  if (DebugOutput >= 2 && mpi_rank == 0)
    {
      printf("Time Prepare FFTs %f\n", timer.GetCurrentElapsedTime());
      timer.ResetStart();
    }
  precalculate();

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  // ****************** For debugging *********************
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  if (getenv("BIOEM_DEBUG_BREAK"))
    {
      const int cut = atoi(getenv("BIOEM_DEBUG_BREAK"));
      if (param.nTotGridAngles > cut) param.nTotGridAngles = cut;
      if (param.nTotCTFs > cut) param.nTotCTFs = cut;
    }

  if (DebugOutput >= 2 && mpi_rank == 0)
    {
      printf("Time Precalculate %f\n", timer.GetCurrentElapsedTime());
      timer.ResetStart();
    }
  if(!param.printModel)pProb.init(RefMap.ntotRefMap, param.nTotGridAngles, param.nTotCC, *this);

  if (DebugOutput >= 2 && mpi_rank == 0)
    {
      printf("Time Init Probabilities %f\n", timer.GetCurrentElapsedTime());
      timer.ResetStart();
    }
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  // ****************** Initializng pointers *********************

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  deviceInit();
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  if (DebugOutput >= 2 && mpi_rank == 0) printf("Time Device Init %f\n", timer.GetCurrentElapsedTime());

  return(0);
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}

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void bioem::cleanup()
{
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  //Deleting allocated pointers
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  free_device_host(pProb.ptr);
  RefMap.freePointers();
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}

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int bioem::precalculate()
{
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  // **************************************************************************************
  // **Precalculating Routine of Orientation grids, Map crosscorrelations and CTF Kernels**
  // **************************************************************************************
  HighResTimer timer;
  if (DebugOutput >= 3)
    {
      printf("\tTime Precalculate Grids Param: %f\n", timer.GetCurrentElapsedTime());
      timer.ResetStart();
    }
  // Precalculating CTF Kernels stored in class Param
  param.CalculateRefCTF();

  if (DebugOutput >= 3)
    {
      printf("\tTime Precalculate CTFs: %f\n", timer.GetCurrentElapsedTime());
      timer.ResetStart();
    }
  //Precalculate Maps
  if(!param.printModel) RefMap.precalculate(param, *this);
  if (DebugOutput >= 3) printf("\tTime Precalculate Maps: %f\n", timer.GetCurrentElapsedTime());

  return(0);
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}

int bioem::run()
{
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  // **************************************************************************************
  // ********** Secondary routine for printing out the only best projection ***************
  // **************************************************************************************
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  if(mpi_rank == 0 && param.printModel){ //Only works for 1 MPI process (not parallelized)
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    cout << "\nAnalysis for printing best projection::: \n \n" ; 
    mycomplex_t* proj_mapsFFT;
    myfloat_t* conv_map = NULL;
    mycomplex_t* conv_mapFFT;
    myfloat_t sumCONV, sumsquareCONV;
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    proj_mapsFFT = (mycomplex_t *) myfftw_malloc(sizeof(mycomplex_t) * param.param_device.NumberPixels * param.param_device.NumberFFTPixels1D);
    conv_mapFFT = (mycomplex_t *) myfftw_malloc(sizeof(mycomplex_t) * param.param_device.NumberPixels * param.param_device.NumberFFTPixels1D);
    conv_map = (myfloat_t*) myfftw_malloc(sizeof(myfloat_t) * param.param_device.NumberPixels * param.param_device.NumberPixels);
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    cout << "...... Calculating Projection .......................\n " ;
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    createProjection(0, proj_mapsFFT);
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    cout << "...... Calculating Convolution .......................\n " ;
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    createConvolutedProjectionMap(0, 0, proj_mapsFFT, conv_map, conv_mapFFT, sumCONV, sumsquareCONV);
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  }
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  // **************************************************************************************
  // **** Main BioEM routine, projects, convolutes and compares with Map using OpenMP ****
  // **************************************************************************************
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  // **** If we want to control the number of threads -> omp_set_num_threads(XX); ******
  // ****************** Declarying class of Probability Pointer  *************************
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  if (mpi_rank == 0) printf("\tInitializing Probabilities\n");
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  // Contros for MPI
  if(mpi_size > param.nTotGridAngles){
    cout << "EXIT: Wrong MPI setup More MPI processes than orientations\n"; exit(1);
  }
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  // Inizialzing Probabilites to zero and constant to -Infinity
  for (int iRefMap = 0; iRefMap < RefMap.ntotRefMap; iRefMap ++)
    {
      bioem_Probability_map& pProbMap = pProb.getProbMap(iRefMap);
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      pProbMap.Total = 0.0;
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      pProbMap.Constoadd = -FLT_MAX; //Problem if using double presicion

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      if (param.param_device.writeAngles)
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	{
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	  for (int iOrient = 0; iOrient < param.nTotGridAngles; iOrient ++)
	    {
	      bioem_Probability_angle& pProbAngle = pProb.getProbAngle(iRefMap, iOrient);

	      pProbAngle.forAngles = 0.0;
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	      pProbAngle.ConstAngle = -FLT_MAX;
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	    }
	}
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      if (param.param_device.writeCC)
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	{      int  cc=0;
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	  for (int cent_x = 0; cent_x < param.param_device.NumberPixels; cent_x = cent_x + param.param_device.CCdisplace)
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	    {
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	      for (int cent_y = 0; cent_y < param.param_device.NumberPixels; cent_y = cent_y + param.param_device.CCdisplace)
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		{
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		  bioem_Probability_cc& pProbCC = pProb.getProbCC(iRefMap, cc);
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		  //Debuggin:: cout << iRefMap << " " << cc << " " << cent_x << " " << cent_y << "\n";

		  if(!param.param_device.CCwithBayes) {
		    pProbCC.forCC=-FLT_MAX;
		  }else {
		    pProbCC.forCC = 0.0;
		    pProbCC.ConstCC=-FLT_MAX;
		  }
		  cc++;
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		}
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	    }
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	  if(!FFTAlgo){cout << "Cross correlation calculation must be with enviormental variable FFTALGO=1\n"; exit(1);}
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	}                 
    }
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  if(!FFTAlgo){cout << "Remark: Not using FFT algorithm. Not using Prior in B-Env.";}

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  // **************************************************************************************
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  deviceStartRun();

  // ******************************** MAIN CYCLE ******************************************

  mycomplex_t* proj_mapsFFT;
  myfloat_t* conv_map = NULL;
  mycomplex_t* conv_mapFFT;
  myfloat_t sumCONV, sumsquareCONV;

  //allocating fftw_complex vector
  const int ProjMapSize = (param.FFTMapSize + 64) & ~63;	//Make sure this is properly aligned for fftw..., Actually this should be ensureb by using FFTMapSize, but it is not due to a bug in CUFFT which cannot handle padding properly
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  //******** Alocating Vectors *************
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  proj_mapsFFT = (mycomplex_t *) myfftw_malloc(sizeof(mycomplex_t) * ProjMapSize * nProjectionsAtOnce);
  conv_mapFFT = (mycomplex_t *) myfftw_malloc(sizeof(mycomplex_t) * param.param_device.NumberPixels * param.param_device.NumberFFTPixels1D);
  if (!FFTAlgo) conv_map = (myfloat_t*) myfftw_malloc(sizeof(myfloat_t) * param.param_device.NumberPixels * param.param_device.NumberPixels);
             

  HighResTimer timer, timer2;

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  /* This variables are used for Autotuning */
  double best_time = 0;
  int workload = getenv("GPUWORKLOAD") == NULL ? 100 : atoi(getenv("GPUWORKLOAD"));
  int best_workload = workload;
  bool stopTuning=false;
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  int a=1, b=50, c=100, x=75, limit=1;
  double fb=0., fx=0.;
  if (Autotuning == 3) rebalance(b);
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  if (DebugOutput >= 1 && mpi_rank == 0) printf("\tMain Loop GridAngles %d, CTFs %d, RefMaps %d, Shifts (%d/%d)², Pixels %d², OMP Threads %d, MPI Ranks %d\n", param.nTotGridAngles, param.nTotCTFs, RefMap.ntotRefMap, 2 * param.param_device.maxDisplaceCenter + param.param_device.GridSpaceCenter, param.param_device.GridSpaceCenter, param.param_device.NumberPixels, omp_get_max_threads(), mpi_size);

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  const int iOrientStart = (int) ((long long int) mpi_rank * param.nTotGridAngles / mpi_size);
  int iOrientEnd = (int) ((long long int) (mpi_rank + 1) * param.nTotGridAngles / mpi_size);
  if (iOrientEnd > param.nTotGridAngles) iOrientEnd = param.nTotGridAngles;

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  // **************************Loop Over orientations***************************************

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  for (int iOrientAtOnce = iOrientStart; iOrientAtOnce < iOrientEnd; iOrientAtOnce += nProjectionsAtOnce)
    {
      // ***************************************************************************************
      // ***** Creating Projection for given orientation and transforming to Fourier space *****
      if (DebugOutput >= 1) timer2.ResetStart();
      if (DebugOutput >= 2) timer.ResetStart();
      int iTmpEnd = std::min(iOrientEnd, iOrientAtOnce + nProjectionsAtOnce);
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      // **************************Parallel orientations for projections at once***************

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#pragma omp parallel for
      for (int iOrient = iOrientAtOnce; iOrient < iTmpEnd;iOrient++)
	{
	  createProjection(iOrient, &proj_mapsFFT[(iOrient - iOrientAtOnce) * ProjMapSize]);
	}
      if (DebugOutput >= 2) printf("\tTime Projection %d: %f (rank %d)\n", iOrientAtOnce, timer.GetCurrentElapsedTime(), mpi_rank);
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      for (int iOrient = iOrientAtOnce; iOrient < iTmpEnd;iOrient++)
	{
	  mycomplex_t* proj_mapFFT = &proj_mapsFFT[(iOrient - iOrientAtOnce) * ProjMapSize];
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	  // ***************************************************************************************
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	  // ***** **** Internal Loop over PSF/CTF convolutions **** *****

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	  for (int iConv = 0; iConv < param.nTotCTFs; iConv++)
	    {
	      // *** Calculating convolutions of projection map and crosscorrelations ***

	      if (DebugOutput >= 2) timer.ResetStart();
	      createConvolutedProjectionMap(iOrient, iConv, proj_mapFFT, conv_map, conv_mapFFT, sumCONV, sumsquareCONV);
	      if (DebugOutput >= 2) printf("\t\tTime Convolution %d %d: %f (rank %d)\n", iOrient, iConv, timer.GetCurrentElapsedTime(), mpi_rank);

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	      if (Autotuning && !stopTuning) timer.ResetStart();
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	      if (DebugOutput >= 2) timer.ResetStart();
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     	      myfloat_t amp,pha,env;

              amp=param.CtfParam[iConv].pos[0];
              pha=param.CtfParam[iConv].pos[1];
              env=param.CtfParam[iConv].pos[2];

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	      // ******************Internal loop over Reference images CUDA or OpenMP******************
	      // *** Comparing each calculated convoluted map with all experimental maps ***

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	      compareRefMaps(iOrient, iConv, amp, pha, env, conv_map, conv_mapFFT, sumCONV, sumsquareCONV);
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	      double compTime=0.;
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	      if (DebugOutput >= 2)
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		{
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		  compTime = timer.GetCurrentElapsedTime();
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		  const int nShifts = 2 * param.param_device.maxDisplaceCenter / param.param_device.GridSpaceCenter + 1;
		  const double nFlops = (double) RefMap.ntotRefMap * (double) nShifts * (double) nShifts *
		    (((double) param.param_device.NumberPixels - (double) param.param_device.maxDisplaceCenter / 2.) * ((double) param.param_device.NumberPixels - (double) param.param_device.maxDisplaceCenter / 2.) * 5. + 25.) / compTime;
		  const double nGBs = (double) RefMap.ntotRefMap * (double) nShifts * (double) nShifts *
		    (((double) param.param_device.NumberPixels - (double) param.param_device.maxDisplaceCenter / 2.) * ((double) param.param_device.NumberPixels - (double) param.param_device.maxDisplaceCenter / 2.) * 2. + 8.) * (double) sizeof(myfloat_t) / compTime;
		  const double nGBs2 = (double) RefMap.ntotRefMap * ((double) param.param_device.NumberPixels * (double) param.param_device.NumberPixels + 8.) * (double) sizeof(myfloat_t) / compTime;

		  printf("\t\tTime Comparison %d %d: %f sec (%f GFlops, %f GB/s (cached), %f GB/s) (rank %d)\n", iOrient, iConv, compTime, nFlops / 1000000000., nGBs / 1000000000., nGBs2 / 1000000000., mpi_rank);
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		}
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	      if (Autotuning == 1 && !stopTuning && (iConv % 5 == 4))
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		{
		  if (compTime == 0.) compTime = timer.GetCurrentElapsedTime();

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		  if (best_time == 0 || compTime < best_time)
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		    {
		      best_time = compTime;
		      best_workload = workload;
		    }

		  workload -= 5;
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		  if (workload < 30)
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		    {
		      stopTuning=true;
		      workload=best_workload;
		    }
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		  rebalance(workload);
		}
	      if (Autotuning == 2 && !stopTuning && (iConv == 3 || iConv == 7))
		{
		  if (compTime == 0.) compTime = timer.GetCurrentElapsedTime();
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		  if (iConv == 3)
		    {
		      best_time = compTime;
		      workload = 1;
		    }
		  else if (iConv == 7)
		    {
		      workload = (int) 100 * ( compTime / (best_time+compTime) );
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		      if (DebugOutput >= 2)
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			{
			  printf("\t\tComparison on GPU only time: %.6f\n", best_time);
			  printf("\t\tComparison on CPU only time: %.6f\n", compTime);
			  printf("\t\tOptimal GPU workload: %d%%\n", workload);
			}
		      stopTuning=true;
		    }
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		  rebalance(workload);
		}
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	      if (Autotuning == 3 && !stopTuning && (iConv % 7 == 6))
		{
		  if (compTime == 0.) compTime = timer.GetCurrentElapsedTime();

		  if (iOrient == iOrientStart && iConv == 6)
		    {
		      fb = compTime;
		      x = 75;
		    }
		  else
		    {
		      fx = compTime;
		      if (fx < fb)
			{
			if (x < b)
			  c = b;
			else
			  a = b;
			b = x;
			fb = fx;
			}
		      else
			{
			if (x < b)
			  a = x;
			else
			  c = x;
			}
		      x = (c-b > b-a) ? (int)(b+(c-b)/2) : (int)(a+(b-a)/2);

		    }

		  if ( (c-b == limit) && ( b-a == limit) ) stopTuning=true;

		  rebalance(x);
		}
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	    }
	  if (DebugOutput >= 1)
	    {
	      printf("\tTotal time for projection %d: %f (rank %d)\n", iOrient, timer2.GetCurrentElapsedTime(), mpi_rank);
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	      timer2.ResetStart();
	    }
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	}
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    }
  //deallocating fftw_complex vector
  myfftw_free(proj_mapsFFT);
  myfftw_free(conv_mapFFT);
  if (!FFTAlgo) myfftw_free(conv_map);
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  deviceFinishRun();
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  // ************* Collecing all the probabilities from MPI replicas ***************
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#ifdef WITH_MPI
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  if (mpi_size > 1)
    {
      if (DebugOutput >= 1 && mpi_rank == 0) timer.ResetStart();
      //Reduce Constant and summarize probabilities
      {
	myfloat_t* tmp1 = new myfloat_t[RefMap.ntotRefMap];
	myfloat_t* tmp2 = new myfloat_t[RefMap.ntotRefMap];
	myfloat_t* tmp3 = new myfloat_t[RefMap.ntotRefMap];
	for (int i = 0;i < RefMap.ntotRefMap;i++)
	  {
	    tmp1[i] = pProb.getProbMap(i).Constoadd;
	  }
	MPI_Allreduce(tmp1, tmp2, RefMap.ntotRefMap, MY_MPI_FLOAT, MPI_MAX, MPI_COMM_WORLD);
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	for (int i = 0;i < RefMap.ntotRefMap;i++)
	  {
	    bioem_Probability_map& pProbMap = pProb.getProbMap(i);
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#ifdef DEBUG
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	    cout << "Reduction " << mpi_rank << " Map " << i << " Prob " << pProbMap.Total << " Const " << pProbMap.Constoadd  << "\n";     
#endif
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	    tmp1[i] = pProbMap.Total * exp(pProbMap.Constoadd - tmp2[i]);
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	  }
	MPI_Reduce(tmp1, tmp3, RefMap.ntotRefMap, MY_MPI_FLOAT, MPI_SUM, 0, MPI_COMM_WORLD);

	//Find MaxProb
	MPI_Status mpistatus;
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	{
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	  int* tmpi1 = new int[RefMap.ntotRefMap];
	  int* tmpi2 = new int[RefMap.ntotRefMap];
	  for (int i = 0;i < RefMap.ntotRefMap;i++)
	    {
	      bioem_Probability_map& pProbMap = pProb.getProbMap(i);
	      tmpi1[i] = tmp2[i] <= pProbMap.Constoadd ? mpi_rank : -1;
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              //temporary array that has the mpirank for the highest pProb.constant
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	    }
	  MPI_Allreduce(tmpi1, tmpi2, RefMap.ntotRefMap, MPI_INT, MPI_MAX, MPI_COMM_WORLD);
	  for (int i = 0;i < RefMap.ntotRefMap;i++)
	    {
	      if (tmpi2[i] == -1)
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		{
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		  if (mpi_rank == 0) printf("Error: Could not find highest probability\n");
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		}
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	      else if (tmpi2[i] != 0) //Skip if rank 0 already has highest probability
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		{
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		  if (mpi_rank == 0)
		    {
		      MPI_Recv(&pProb.getProbMap(i).max, sizeof(pProb.getProbMap(i).max), MPI_BYTE, tmpi2[i], i, MPI_COMM_WORLD, &mpistatus);
		    }
		  else if (mpi_rank == tmpi2[i])
		    {
		      MPI_Send(&pProb.getProbMap(i).max, sizeof(pProb.getProbMap(i).max), MPI_BYTE, 0, i, MPI_COMM_WORLD);
		    }
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		}
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	    }
	  delete[] tmpi1;
	  delete[] tmpi2;
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	}
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	if (mpi_rank == 0)
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	  {
	    for (int i = 0;i < RefMap.ntotRefMap;i++)
	      {
		bioem_Probability_map& pProbMap = pProb.getProbMap(i);
		pProbMap.Total = tmp3[i];
		pProbMap.Constoadd = tmp2[i];
	      }
	  }

	delete[] tmp1;
	delete[] tmp2;
	delete[] tmp3;
	if (DebugOutput >= 1 && mpi_rank == 0 && mpi_size > 1) printf("Time MPI Reduction: %f\n", timer.GetCurrentElapsedTime());
      }

      //Angle Reduction and Probability summation for individual angles
      if (param.param_device.writeAngles)
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	{
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	  const int count = RefMap.ntotRefMap * param.nTotGridAngles;
	  myfloat_t* tmp1 = new myfloat_t[count];
	  myfloat_t* tmp2 = new myfloat_t[count];
	  myfloat_t* tmp3 = new myfloat_t[count];
	  for (int i = 0;i < RefMap.ntotRefMap;i++)
	    {
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	      for (int j = 0;j < param.nTotGridAngles;j++)
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                {
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		  //	      tmp1[i] = pProb.getProbMap(i).Constoadd;
		  //	      bioem_Probability_angle& pProbAngle = pProb.getProbAngle(i, j);
		  tmp1[i * param.nTotGridAngles + j]= pProb.getProbAngle(i, j).ConstAngle;
		}
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	    }
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	  MPI_Allreduce(tmp1, tmp2, count, MY_MPI_FLOAT, MPI_MAX, MPI_COMM_WORLD);
	  for (int i = 0;i < RefMap.ntotRefMap;i++)
	    {
	      for (int j = 0;j < param.nTotGridAngles;j++)
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		{
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		  bioem_Probability_angle& pProbAngle = pProb.getProbAngle(i, j);
		  tmp1[i * param.nTotGridAngles + j] = pProbAngle.forAngles * exp(pProbAngle.ConstAngle - tmp2[i * param.nTotGridAngles + j]);
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		}
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	    }
	  MPI_Reduce(tmp1, tmp3, count, MY_MPI_FLOAT, MPI_SUM, 0, MPI_COMM_WORLD);
	  if (mpi_rank == 0)
	    {
	      for (int i = 0;i < RefMap.ntotRefMap;i++)
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		{
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		  for (int j = 0;j < param.nTotGridAngles;j++)
		    {
		      bioem_Probability_angle& pProbAngle = pProb.getProbAngle(i, j);
		      pProbAngle.forAngles = tmp3[i * param.nTotGridAngles + j];
		      pProbAngle.ConstAngle = tmp2[i * param.nTotGridAngles + j];
		    }
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		}
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	    }
	  delete[] tmp1;
	  delete[] tmp2;
	  delete[] tmp3;
	}
    }
#endif
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  // ************* Writing Out Probabilities ***************
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  if (mpi_rank == 0)
    {
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      // Output for Angle Probability File
      ofstream angProbfile;
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      if(param.param_device.writeAngles)
	{
	  angProbfile.open ("ANG_PROB");
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	  angProbfile <<"************************* HEADER:: NOTATION *******************************************\n";
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          if(!param.doquater){ angProbfile <<" RefMap:  MapNumber ; alpha[rad] - beta[rad] - gamma[rad] - logP - cal log Probability + Constant: Numerical Const.+ log (volume) + prior ang\n" ;}
	  else { angProbfile <<" RefMap:  MapNumber ; q1 - q2 -q3 - logP- cal log Probability + Constant: Numerical Const. + log (volume) + prior ang\n" ;};
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	  angProbfile <<"************************* HEADER:: NOTATION *******************************************\n";
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	  //          angProbfile <<"Model Used: " << modelfile.c_str() << "\n";
	  //          angProbfile <<"Input Used: " << infile.c_str() << "\n";
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	}
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      // Output for Cross Correlation File
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      ofstream ccProbfile;
      if(param.param_device.writeCC)
	{
	  ccProbfile.open ("CROSS_CORRELATION");
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	  ccProbfile <<"************************* HEADER:: NOTATION *******************************************\n";
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          ccProbfile <<" RefMap:  MapNumber ; Pixel x - Pixel y - Cross-Correlation \n";
          ccProbfile <<"Note that the highest Cross-correlation is the best.\n";
          ccProbfile <<"If the particles are flipped, include the keyward FLIPPED in the Param file.\n";
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          ccProbfile <<"************************* HEADER:: NOTATION *******************************************\n";
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	}

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      // Output for Standard Probability
      ofstream outputProbFile;
      if(!yesoutfilename)OutfileName="Output_Probabilities";
      outputProbFile.open (OutfileName.c_str());
      outputProbFile <<"************************* HEADER:: NOTATION *******************************************\n";   
      outputProbFile << "Notation= RefMap:  MapNumber ; LogProb natural logarithm of posterior Probability ; Constant: Numerical Const. for adding Probabilities \n";
      if(!param.doquater){
	if(param.usepsf){
	  outputProbFile << "Notation= RefMap:  MapNumber ; Maximizing Param: MaxLogProb - alpha[rad] - beta[rad] - gamma[rad] - PSF amp - PSF phase - PSF envelope - center x - center y - normalization - offsett \n";}else{
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	  outputProbFile << "Notation= RefMap:  MapNumber ; Maximizing Param: MaxLogProb - alpha[rad] - beta[rad] - gamma[rad] - CTF amp - CTF defocus - CTF B-Env - center x - center y - normalization - offsett \n";}
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      }else { 
	if(param.usepsf){
	  //     if( localcc[rx * param.param_device.NumberPixels + ry] <
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	  outputProbFile << "Notation= RefMap:  MapNumber ; Maximizing Param: MaxLogProb - q1 - q2 - q3 - q4 -PSF amp - PSF phase - PSF envelope - center x - center y - normalization - offsett \n";
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	}else{
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          outputProbFile << "Notation= RefMap:  MapNumber ; Maximizing Param: MaxLogProb - q1 - q2 - q3 - q4 - CTF amp - CTF defocus - CTF B-Env - center x - center y - normalization - offsett \n";
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        }}
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      if(param.writeCTF) outputProbFile << " RefMap:  MapNumber ; CTFMaxParm: defocus - b-Env (B ref. Penzeck 2010)\n";
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      if(param.yespriorAngles) outputProbFile << "**** Remark: Using Prior Proability in Angles ****\n";
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      outputProbFile <<"************************* HEADER:: NOTATION *******************************************\n\n";

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      // Loop over reference maps
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      // ************* Over all maps ***************
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      for (int iRefMap = 0; iRefMap < RefMap.ntotRefMap; iRefMap ++)
	{
	  // **** Total Probability ***
	  bioem_Probability_map& pProbMap = pProb.getProbMap(iRefMap);

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	  //Controll for Value of Total Probability
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          // cout << pProbMap.Total << " " <<  pProbMap.Constoadd << " " << FLT_MAX <<" " << log(FLT_MAX) << "\n";
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          if(pProbMap.Total>1.e-38){

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	    outputProbFile << "RefMap: " << iRefMap << " LogProb:  "  << log(pProbMap.Total) + pProbMap.Constoadd + 0.5 * log(M_PI) + (1 - param.param_device.Ntotpi * 0.5)*(log(2 * M_PI) + 1) + log(param.param_device.volu) << " Constant: " << pProbMap.Constoadd  << "\n";
	    outputProbFile << "RefMap: " << iRefMap << " Maximizing Param: ";
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            // *** Param that maximize probability****
            outputProbFile << (log(pProbMap.Total) + pProbMap.Constoadd + 0.5 * log(M_PI) + (1 - param.param_device.Ntotpi * 0.5) * (log(2 * M_PI) + 1) + log(param.param_device.volu)) << " ";

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	  }else{ 
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	    outputProbFile << "Warining! with Map " << iRefMap << "Numerical Integrated Probability without constant = 0.0;\n";
	    outputProbFile << "Warining RefMap: " << iRefMap << "Check that constant is finite: " << pProbMap.Constoadd  << "\n"; 
	    outputProbFile << "Warining RefMap: i) check model, ii) check refmap , iii) check GPU on/off command inconsitency\n";
	    //	    outputProbFile << "Warning! " << iRefMap << " LogProb:  "  << pProbMap.Constoadd + 0.5 * log(M_PI) + (1 - param.param_device.Ntotpi * 0.5)*(log(2 * M_PI) + 1) + log(param.param_device.volu) << " Constant: " << pProbMap.Constoadd  << "\n";
	  }
	  //	    outputProbFile << "RefMap: " << iRefMap << " Maximizing Param: ";

	  // *** Param that maximize probability****
	  //	    outputProbFile << (pProbMap.Constoadd + 0.5 * log(M_PI) + (1 - param.param_device.Ntotpi * 0.5) * (log(2 * M_PI) + 1) + log(param.param_device.volu)) << " ";
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	  outputProbFile << param.angles[pProbMap.max.max_prob_orient].pos[0] << " [] ";
	  outputProbFile << param.angles[pProbMap.max.max_prob_orient].pos[1] << " [] ";
	  outputProbFile << param.angles[pProbMap.max.max_prob_orient].pos[2] << " [] ";
	  if(param.doquater)outputProbFile << param.angles[pProbMap.max.max_prob_orient].quat4 << " [] "; 
	  outputProbFile << param.CtfParam[pProbMap.max.max_prob_conv].pos[0] << " [] ";
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	  if(!param.usepsf){outputProbFile << param.CtfParam[pProbMap.max.max_prob_conv].pos[1]/ 2.f /M_PI / param.elecwavel * 0.0001 << " [micro-m] ";
	  }else{outputProbFile << param.CtfParam[pProbMap.max.max_prob_conv].pos[1] << " [1/A²] ";}
	  if(!param.usepsf){outputProbFile << param.CtfParam[pProbMap.max.max_prob_conv].pos[2] << " [A²] ";}
	  else{outputProbFile << param.CtfParam[pProbMap.max.max_prob_conv].pos[2] << " [1/A²] ";}
	  outputProbFile << pProbMap.max.max_prob_cent_x << " [pix] ";
	  outputProbFile << pProbMap.max.max_prob_cent_y << " [pix] " ;
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	  if(FFTAlgo){outputProbFile << pProbMap.max.max_prob_norm << " [] " ;}else{outputProbFile << "N.A." << " [] ";}
	  if(FFTAlgo){outputProbFile << pProbMap.max.max_prob_mu << " [] ";}else{outputProbFile << "N.A." << " [] ";} 
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	  outputProbFile << "\n";
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	  // Writing out CTF parameters if requiered
	  if(param.writeCTF && param.usepsf){

	    myfloat_t denomi;
	    denomi = param.CtfParam[pProbMap.max.max_prob_conv].pos[1] * param.CtfParam[pProbMap.max.max_prob_conv].pos[1] + 
	      param.CtfParam[pProbMap.max.max_prob_conv].pos[2] * param.CtfParam[pProbMap.max.max_prob_conv].pos[2];
	    outputProbFile << "RefMap: " << iRefMap << " CTFMaxParam: ";
	    outputProbFile <<  2*M_PI*param.CtfParam[pProbMap.max.max_prob_conv].pos[1]/denomi/param.elecwavel*0.0001 << " [micro-m] "; 
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	    outputProbFile << 4*M_PI*M_PI*param.CtfParam[pProbMap.max.max_prob_conv].pos[2]/denomi << " [A²] \n";
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	  }
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	  //*************** Writing Individual Angle probabilities
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	  if(param.param_device.writeAngles)
	    {
	      for (int iOrient = 0; iOrient < param.nTotGridAngles; iOrient++)
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		{
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		  bioem_Probability_angle& pProbAngle = pProb.getProbAngle(iRefMap, iOrient);
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		  myfloat_t logp=log(pProbAngle.forAngles)+ pProbAngle.ConstAngle+0.5 * log(M_PI) + (1 - param.param_device.Ntotpi * 0.5)*(log(2 * M_PI) + 1) + log(param.param_device.volu);
		  if(!param.doquater){
		    // For Euler Angles
		    if(param.yespriorAngles){
		      logp+=param.angprior[iOrient];
		      angProbfile << " " << iRefMap << " " << param.angles[iOrient].pos[0] << " " << param.angles[iOrient].pos[1] << " " << param.angles[iOrient].pos[2] << " " << logp << " Separated: "
				  << log(pProbAngle.forAngles) << " " << pProbAngle.ConstAngle  << " " << 0.5 * log(M_PI) + (1 - param.param_device.Ntotpi * 0.5)*(log(2 * M_PI) + 1) + log(param.param_device.volu) << " " << param.angprior[iOrient] << "\n";
		    } else
		      {
			angProbfile << " " << iRefMap << " " << param.angles[iOrient].pos[0] << " " << param.angles[iOrient].pos[1] << " " << param.angles[iOrient].pos[2] << " " <<  logp << " Separated: "<<
			  log(pProbAngle.forAngles) << " " << pProbAngle.ConstAngle  << " " << 0.5 * log(M_PI) + (1 - param.param_device.Ntotpi * 0.5)*(log(2 * M_PI) + 1) + log(param.param_device.volu) << "\n";
		      }
		  }else {
		    // Samething but for Quaternions
		    if(param.yespriorAngles){
		      logp+=param.angprior[iOrient];
		      angProbfile << " " << iRefMap << " " << param.angles[iOrient].pos[0] << " " << param.angles[iOrient].pos[1] << " " << param.angles[iOrient].pos[2] << " " << param.angles[iOrient].quat4 << " " << logp << " Separated: " << log(pProbAngle.forAngles) << " " << pProbAngle.ConstAngle  << " " << 0.5 * log(M_PI) + (1 - param.param_device.Ntotpi * 0.5)*(log(2 * M_PI) + 1) + log(param.param_device.volu) << " " << param.angprior[iOrient] << "\n";
		    } else
		      {
			angProbfile << " " << iRefMap << " " << param.angles[iOrient].pos[0] << " " << param.angles[iOrient].pos[1] << " " << param.angles[iOrient].pos[2] << " " << param.angles[iOrient].quat4 << " " << logp << " Separated: "<<
			  log(pProbAngle.forAngles) << " " << pProbAngle.ConstAngle  << " " << 0.5 * log(M_PI) + (1 - param.param_device.Ntotpi * 0.5)*(log(2 * M_PI) + 1) + log(param.param_device.volu) << "\n";
		      }
		  }
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		}
	    }
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	  //************* Writing Cross-Correlations if requiered
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          //************* This is currently not in the manual *****
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	  if(param.param_device.writeCC){
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	    int  cc=0;
	    int halfPix;
	    int rx=0;
	    int ry=0;
	    myfloat_t localcc[ (param.param_device.NumberPixels+1) * (param.param_device.NumberPixels+1) ];
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            int used[(param.param_device.NumberPixels+1) * (param.param_device.NumberPixels+1)];
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	    halfPix = param.param_device.NumberPixels / 2 ;
	    // Ordering the centers of the Cross Correlation
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	    for (int rx = 0; rx < param.param_device.NumberPixels ; rx++)
	      {
		for (int ry = 0; ry < param.param_device.NumberPixels ; ry++)
		  {
		    localcc[ rx * param.param_device.NumberPixels + ry ] = 0.0;
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			used[ rx * param.param_device.NumberPixels + ry ]= 0;
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		  }
	      }

	    for (int cent_x = 0; cent_x < param.param_device.NumberPixels ; cent_x = cent_x + param.param_device.CCdisplace)
	      {
		for (int cent_y = 0; cent_y < param.param_device.NumberPixels ; cent_y = cent_y + param.param_device.CCdisplace)
		  {
		    //localcc[ rx * param.param_device.NumberPixels + ry ] = 0.0;
		    bioem_Probability_cc& pProbCC = pProb.getProbCC(iRefMap, cc);

		    // Applying Periodic boundary conditions to the CC
		    if(cent_x < halfPix && cent_y < halfPix){
		      //	ccProbfile << " " << iRefMap << " " << (myfloat_t) halfPix  - cent_x << " " << halfPix - cent_y << " " << pProbCC.forCC <<"\n";
		      rx = halfPix  - cent_x;
		      ry = halfPix  - cent_y;}
		    if(cent_x >= halfPix && cent_y < halfPix){
		      //      ccProbfile << " " << iRefMap << " " << (myfloat_t) 3 * halfPix  - cent_x << " " << halfPix - cent_y << " " << pProbCC.forCC <<"\n"; 
		      rx = 3 * halfPix  - cent_x;
		      ry = halfPix  - cent_y;}
		    if(cent_x < halfPix && cent_y >= halfPix){
		      //      ccProbfile << " " << iRefMap << " " << (myfloat_t) halfPix  - cent_x << " " << 3 * halfPix - cent_y << " " << pProbCC.forCC <<"\n";
		      rx = halfPix  - cent_x;
		      ry = 3 * halfPix  - cent_y;}
		    if(cent_x >= halfPix && cent_y >= halfPix){
		      //        ccProbfile << " " << iRefMap << " " << 3* halfPix  - cent_x << " " << 3 * halfPix - cent_y << " " << pProbCC.forCC <<"\n";
		      rx = 3 * halfPix  - cent_x;
		      ry = 3 * halfPix  - cent_y;}
		    //						cout << " TT " << cent_x << " " << rx << " " << cent_y << " " << ry << " " <<  pProbCC.forCC << "\n";
		    if(!param.param_device.CCwithBayes){
		      localcc[ rx * param.param_device.NumberPixels + ry ] = pProbCC.forCC;
		    }else{ 
		      localcc[ rx * param.param_device.NumberPixels + ry ] = log(pProbCC.forCC)+pProbCC.ConstCC;
		    }
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 			used[ rx * param.param_device.NumberPixels + ry] = 1;
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		    cc++;
		  }
		//              ccProbfile << "\n";
	      }
	    if(!param.ignoreCCoff){
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/*	      for (int rx = param.param_device.CCdisplace; rx < param.param_device.NumberPixels ; rx = rx + param.param_device.CCdisplace)
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		{
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		  for (int ry = param.param_device.CCdisplace; ry < param.param_device.NumberPixels ; ry = ry + param.param_device.CCdisplace)
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		    {*/
  for (int rx = param.param_device.CCdisplace; rx < param.param_device.NumberPixels ; rx++)
                {
                  for (int ry = param.param_device.CCdisplace; ry < param.param_device.NumberPixels ; ry++)
                    {

		      if(used[ rx * param.param_device.NumberPixels + ry ] == 1){
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			ccProbfile << "RefMap: "<< iRefMap << " " << rx << " " << ry << " " << localcc[ rx * param.param_device.NumberPixels + ry ] << "\n" ;
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		      }else{
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			if(localcc[ rx * param.param_device.NumberPixels + ry ] <= -FLT_MAX)ccProbfile << "RefMap: "<< iRefMap << " " << rx << " " << ry << " " << -FLT_MAX << "\n" ;
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		      }
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		      //				 cout << " cc " << rx << " " << ry << " " << localcc[ rx * param.param_device.NumberPixels + ry ] <<"\n" ;
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		    }
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	//	  ccProbfile << "\n";
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		}			
	    }else{
	      for (int rx = param.param_device.CCdisplace; rx < param.param_device.NumberPixels ; rx++)
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		{
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		  for (int ry = param.param_device.CCdisplace; ry < param.param_device.NumberPixels ; ry++)
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		    {