#include "pmixer.h"
/*!\ingroup PMixer
* \file tgrsr.cc
* \brief \b PROGRAM \b tgrsr
* Program to generate different type of RadSpectra
* and SpectralResponse in the form of RadSpectraVec and SpecRespVec
* in FITS format
*/
// ------------- Main program --------------
int main(int narg, char* arg[])
{
#if !defined(SunOS) || !defined(__GNUG__)
// ca se plante sur Sun !
SophyaInit();
#endif
InitTim(); // Initializing the CPU timer
if ((narg < 5) || ((narg>1) && (strcmp(arg[1],"-h") == 0)) ) {
cout << " tgrsr : Generation of RadSpectraVec and SpecRespVec in FITS " << endl;
cout << " Usage: tgrsr 0/1 Params NPoints FitsFileName [ImageR4FITSName] [ppfname] " << endl;
cout << " 0 -> GaussianFilter T = A exp(((nu-nu0)/dnu)^2" << endl;
cout << " Params : A,Nu0,DNu,MinFreq,MaxFreq " << endl;
cout << " 1 -> PowerLawSpectra f = a ((nu-nu0)/dnu)^b " << endl;
cout << " Params : A,Nu0,dnu,b,MinFreq,MaxFreq " << endl;
exit(0);
}
int typ = 0;
typ = atoi(arg[1]);
int k, npt = 100;
npt = atoi(arg[3]);
if (npt < 5) npt = 5;
cout << " ---- tgrsr/Info: Type= " << typ << " NPoints= " << npt << endl;
Matrix mtx(2, npt);
ImageR4 img(npt, 2);
char buff[256];
if (typ == 0) { // Generation de SpecRespVec from GaussianFilter
double a,nu0,dnu,fmin,fmax;
a = 1.0;
nu0 = 143.;
dnu = 10.;
fmin = 10.;
fmax = 1000.;
sscanf(arg[2],"%lg,%lg,%lg,%lg,%lg",&a,&nu0,&dnu,&fmin,&fmax);
cout << " GaussianFilter T = A exp(((nu-nu0)/dnu)^2" << endl;
sprintf(buff,"A=%g Nu0=%g DNu=%g FMin=%g FMax=%g",
a,nu0,dnu,fmin,fmax);
cout << "Decoded params: " << (string)buff << endl;
GaussianFilter sr(nu0, dnu, a, fmin, fmax);
cout << sr << endl;
cout << " Creating SpecRespVec() ... " << endl;
Vector v1(10);
Vector v2(10);
SpecRespVec srv(v1, v2, fmin, fmax);
Vector & nu = srv.getNuVec();
Vector & tnu = srv.getTNuVec();
nu.ReSize(npt);
tnu.ReSize(npt);
double freq;
double dfreq = (fmax-fmin)/(npt-3);
for(k=0; k10) && (k<25)) cout << " DBG - K = " << k <<
// " Nu= " << nu(k) << " Tnu= " << tnu(k) << endl;
mtx(0,k) = nu(k);
mtx(1,k) = tnu(k);
img(k,0) = nu(k);
img(k,1) = tnu(k);
}
if ((typ == 0) && (narg > 6)) { // Writing to ppf file
cout << "writing SpecRespVec(" << npt << ") to PPF file: "
<< (string)(arg[6]) << endl;
cout << sr ;
cout << srv ;
{
POutPersist pos(arg[6]);
pos << srv;
}
PrtTim("End of ImageR4->PPF ");
}
}
else { // Generation de RadSpectraVec from PowerLawSpectra
double a,nu0,dnu,b,fmin,fmax;
a = 1.0;
nu0 = 143.;
b = 0.;
dnu = 10.;
fmin = 10.;
fmax = 1000.;
sscanf(arg[2],"%lg,%lg,%lg,%lg,%lg,%lg",&a,&nu0,&dnu,&b,&fmin,&fmax);
cout << " PowerLawSpectra f = a ((nu-nu0)/dnu)^b " << endl;
sprintf(buff,"A=%g Nu0=%g DNu=%g B=%g FMin=%g FMax=%g",
a,nu0,dnu,b,fmin,fmax);
cout << "Decoded params: " << (string)buff << endl;
PowerLawSpectra rs(a,b, nu0, dnu, fmin, fmax);
cout << rs << endl;
cout << " Creating RadSpectraVec() ... " << endl;
Vector v1(10);
Vector v2(10);
RadSpectraVec rsv(v1, v2, fmin, fmax);
Vector & nu = rsv.getNuVec();
Vector & fnu = rsv.getFNuVec();
nu.ReSize(npt);
fnu.ReSize(npt);
double freq;
double dfreq = (fmax-fmin)/(npt-3);
for(k=0; k10) && (k<25)) cout << " DBG2 - K = " << k <<
// " Nu= " << nu(k) << " Fnu= " << fnu(k) << endl;
mtx(0,k) = nu(k);
mtx(1,k) = fnu(k);
img(k,0) = nu(k);
img(k,1) = fnu(k);
}
}
PrtTim("End of filling ");
FitsIoServer fios;
cout << "\n Writing Matrix NRows= " << mtx.NRows() << " NCols= "
<< mtx.NCols() << " to FITS file: " << (string)(arg[4]) << endl;
fios.save(mtx, arg[4]);
PrtTim("End of Matrix->FITS ");
if (narg > 5) { // Writing ImageR4 fo FITS file
cout << "wrting ImageR4(" << npt << ", 2) to FITS file: "
<< (string)(arg[5]) << endl;
fios.save(img, arg[5]);
PrtTim("End of ImageR4->FITS ");
}
cout << " ============ End of tgrsr program ======== " << endl;
return 0;
}