[611] | 1 | #include "machdefs.h"
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| 2 | #include <iostream.h>
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| 3 | #include <math.h>
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| 4 |
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| 5 | #include "tvector.h"
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| 6 | #include "cimage.h"
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| 7 | #include "sambainit.h"
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| 8 |
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| 9 | #include "radspecvector.h"
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| 10 | #include "specrespvector.h"
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| 11 | #include "nupower.h"
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| 12 | #include "gaussfilt.h"
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| 13 |
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| 14 | #include "fitsioserver.h"
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| 15 |
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| 16 | #include "timing.h"
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| 17 |
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| 18 | // Test program to generate different type of RadSpectra
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| 19 | // and SpectralResponse in the form of RadSpectraVec and SpecRespVec
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| 20 | // in FITS format
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| 21 |
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| 22 | // ------------- Main program --------------
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| 23 | int main(int narg, char* arg[])
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| 24 | {
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| 25 | PeidaInit();
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| 26 | InitTim(); // Initializing the CPU timer
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| 27 |
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| 28 | if ((narg < 5) || ((narg>1) && (strcmp(arg[1],"-h") == 0)) ) {
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| 29 | cout << " tgrsr : Generation of RadSpectraVec and SpecRespVec in FITS " << endl;
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| 30 | cout << " Usage: tgrsr 0/1 Params NPoints FitsFileName [ImageR4FITSName]" << endl;
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| 31 | cout << " 0 -> GaussianFilter T = A exp(((nu-nu0)/dnu)^2" << endl;
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| 32 | cout << " Params : A,Nu0,DNu,MinFreq,MaxFreq " << endl;
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| 33 | cout << " 1 -> PowerLawSpectra f = a ((nu-nu0)/dnu)^b " << endl;
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| 34 | cout << " Params : A,Nu0,dnu,b,MinFreq,MaxFreq " << endl;
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| 35 | exit(0);
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| 36 | }
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| 37 |
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| 38 | int typ = 0;
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| 39 | typ = atoi(arg[1]);
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| 40 | int k, npt = 100;
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| 41 | npt = atoi(arg[3]);
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| 42 | if (npt < 5) npt = 5;
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| 43 | cout << " ---- tgrsr/Info: Type= " << typ << " NPoints= " << npt << endl;
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| 44 | Matrix mtx(2, npt);
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| 45 | ImageR4 img(npt, 2);
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| 46 |
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| 47 | char buff[256];
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| 48 | if (typ == 0) { // Generation de SpecRespVec from GaussianFilter
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| 49 | double a,nu0,dnu,fmin,fmax;
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| 50 | a = 1.0;
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| 51 | nu0 = 143.;
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| 52 | dnu = 10.;
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| 53 | fmin = 10.;
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| 54 | fmax = 1000.;
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| 55 | sscanf(arg[2],"%lg,%lg,%lg,%lg,%lg",&a,&nu0,&dnu,&fmin,&fmax);
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| 56 | cout << " GaussianFilter T = A exp(((nu-nu0)/dnu)^2" << endl;
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| 57 | sprintf(buff,"A=%g Nu0=%g DNu=%g FMin=%g FMax=%g",
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| 58 | a,nu0,dnu,fmin,fmax);
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| 59 | cout << "Decoded params: " << (string)buff << endl;
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| 60 | GaussianFilter sr(nu0, dnu, a, fmin, fmax);
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| 61 | cout << sr << endl;
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| 62 | cout << " Creating SpecRespVec() ... " << endl;
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| 63 | Vector v1(10);
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| 64 | Vector v2(10);
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| 65 | SpecRespVec srv(v1, v2, fmin, fmax);
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| 66 | Vector & nu = srv.getNuVec();
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| 67 | Vector & tnu = srv.getTNuVec();
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| 68 | nu.ReSize(npt);
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| 69 | tnu.ReSize(npt);
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| 70 | double freq;
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| 71 | double dfreq = (fmax-fmin)/(npt-3);
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| 72 | for(k=0; k<npt; k++) {
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| 73 | freq = fmin+(k-1)*dfreq;
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| 74 | nu(k) = freq;
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| 75 | tnu(k) = sr.transmission(freq);
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| 76 | // if ((k>10) && (k<25)) cout << " DBG - K = " << k <<
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| 77 | // " Nu= " << nu(k) << " Tnu= " << tnu(k) << endl;
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| 78 | mtx(0,k) = nu(k);
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| 79 | mtx(1,k) = tnu(k);
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| 80 | img(k,0) = nu(k);
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| 81 | img(k,1) = tnu(k);
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| 82 | }
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| 83 | }
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| 84 | else { // Generation de RadSpectraVec from PowerLawSpectra
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| 85 | double a,nu0,dnu,b,fmin,fmax;
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| 86 | a = 1.0;
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| 87 | nu0 = 143.;
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| 88 | b = 0.;
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| 89 | dnu = 10.;
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| 90 | fmin = 10.;
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| 91 | fmax = 1000.;
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| 92 | sscanf(arg[2],"%lg,%lg,%lg,%lg,%lg,%lg",&a,&nu0,&dnu,&b,&fmin,&fmax);
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| 93 | cout << " PowerLawSpectra f = a ((nu-nu0)/dnu)^b " << endl;
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| 94 | sprintf(buff,"A=%g Nu0=%g DNu=%g B=%g FMin=%g FMax=%g",
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| 95 | a,nu0,dnu,b,fmin,fmax);
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| 96 | cout << "Decoded params: " << (string)buff << endl;
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| 97 | PowerLawSpectra rs(a,b, nu0, dnu, fmin, fmax);
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| 98 | cout << rs << endl;
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| 99 | cout << " Creating RadSpectraVec() ... " << endl;
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| 100 | Vector v1(10);
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| 101 | Vector v2(10);
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| 102 | RadSpectraVec rsv(v1, v2, fmin, fmax);
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| 103 | Vector & nu = rsv.getNuVec();
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| 104 | Vector & fnu = rsv.getFNuVec();
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| 105 | nu.ReSize(npt);
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| 106 | fnu.ReSize(npt);
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| 107 | double freq;
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| 108 | double dfreq = (fmax-fmin)/(npt-3);
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| 109 | for(k=0; k<npt; k++) {
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| 110 | freq = fmin+(k-1)*dfreq;
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| 111 | nu(k) = freq;
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| 112 | fnu(k) = rs.flux(freq);
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| 113 | // if ((k>10) && (k<25)) cout << " DBG2 - K = " << k <<
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| 114 | // " Nu= " << nu(k) << " Fnu= " << fnu(k) << endl;
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| 115 | mtx(0,k) = nu(k);
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| 116 | mtx(1,k) = fnu(k);
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| 117 | img(k,0) = nu(k);
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| 118 | img(k,1) = fnu(k);
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| 119 | }
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| 120 | }
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| 121 |
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| 122 | PrtTim("End of filling ");
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| 123 |
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| 124 | FitsIoServer fios;
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| 125 | cout << "\n Writing Matrix NRows= " << mtx.NRows() << " NCols= "
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| 126 | << mtx.NCols() << " to FITS file: " << (string)(arg[4]) << endl;
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| 127 | fios.save(mtx, arg[4]);
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| 128 | PrtTim("End of Matrix->FITS ");
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| 129 |
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| 130 | if (narg > 5) { // Writing ImageR4 fo FITS file
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| 131 | cout << "wrting ImageR4(" << npt << ", 2) to FITS file: "
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| 132 | << (string)(arg[5]) << endl;
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| 133 | fios.save(img, arg[5]);
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| 134 | PrtTim("End of ImageR4->FITS ");
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| 135 | }
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| 136 | cout << " ============ End of tgrsr program ======== " << endl;
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| 137 | return 0;
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| 138 | }
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