[1141] | 1 | #include <typeinfo>
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[930] | 2 | #include "pmixer.h"
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[761] | 3 |
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[930] | 4 | /*!\ingroup PMixer
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| 5 | * \file tgrsr.cc
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[928] | 6 | * \brief \b PROGRAM \b tgrsr <BR>
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[930] | 7 | * Program to generate different type of RadSpectra
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| 8 | * and SpectralResponse in the form of RadSpectraVec and SpecRespVec
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| 9 | * in FITS format
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| 10 | */
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[928] | 11 |
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[761] | 12 |
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| 13 | // ------------- Main program --------------
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| 14 | int main(int narg, char* arg[])
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| 15 | {
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[949] | 16 | #if !defined(SunOS) || !defined(__GNUG__)
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| 17 | // ca se plante sur Sun !
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[809] | 18 | SophyaInit();
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[949] | 19 | #endif
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| 20 |
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[761] | 21 | InitTim(); // Initializing the CPU timer
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| 22 |
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| 23 | if ((narg < 5) || ((narg>1) && (strcmp(arg[1],"-h") == 0)) ) {
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| 24 | cout << " tgrsr : Generation of RadSpectraVec and SpecRespVec in FITS " << endl;
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| 25 | cout << " Usage: tgrsr 0/1 Params NPoints FitsFileName [ImageR4FITSName] [ppfname] " << endl;
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| 26 | cout << " 0 -> GaussianFilter T = A exp(((nu-nu0)/dnu)^2" << endl;
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| 27 | cout << " Params : A,Nu0,DNu,MinFreq,MaxFreq " << endl;
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| 28 | cout << " 1 -> PowerLawSpectra f = a ((nu-nu0)/dnu)^b " << endl;
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| 29 | cout << " Params : A,Nu0,dnu,b,MinFreq,MaxFreq " << endl;
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| 30 | exit(0);
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| 31 | }
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| 32 |
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[1141] | 33 | try {
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[761] | 34 | int typ = 0;
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| 35 | typ = atoi(arg[1]);
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| 36 | int k, npt = 100;
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| 37 | npt = atoi(arg[3]);
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| 38 | if (npt < 5) npt = 5;
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| 39 | cout << " ---- tgrsr/Info: Type= " << typ << " NPoints= " << npt << endl;
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| 40 | Matrix mtx(2, npt);
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| 41 | ImageR4 img(npt, 2);
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| 42 |
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| 43 | char buff[256];
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| 44 | if (typ == 0) { // Generation de SpecRespVec from GaussianFilter
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| 45 | double a,nu0,dnu,fmin,fmax;
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| 46 | a = 1.0;
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| 47 | nu0 = 143.;
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| 48 | dnu = 10.;
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| 49 | fmin = 10.;
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| 50 | fmax = 1000.;
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| 51 | sscanf(arg[2],"%lg,%lg,%lg,%lg,%lg",&a,&nu0,&dnu,&fmin,&fmax);
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| 52 | cout << " GaussianFilter T = A exp(((nu-nu0)/dnu)^2" << endl;
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| 53 | sprintf(buff,"A=%g Nu0=%g DNu=%g FMin=%g FMax=%g",
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| 54 | a,nu0,dnu,fmin,fmax);
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| 55 | cout << "Decoded params: " << (string)buff << endl;
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| 56 | GaussianFilter sr(nu0, dnu, a, fmin, fmax);
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| 57 | cout << sr << endl;
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| 58 | cout << " Creating SpecRespVec() ... " << endl;
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| 59 | Vector v1(10);
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| 60 | Vector v2(10);
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| 61 | SpecRespVec srv(v1, v2, fmin, fmax);
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| 62 | Vector & nu = srv.getNuVec();
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| 63 | Vector & tnu = srv.getTNuVec();
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| 64 | nu.ReSize(npt);
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| 65 | tnu.ReSize(npt);
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| 66 | double freq;
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| 67 | double dfreq = (fmax-fmin)/(npt-3);
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| 68 | for(k=0; k<npt; k++) {
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| 69 | freq = fmin+(k-1)*dfreq;
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| 70 | nu(k) = freq;
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| 71 | tnu(k) = sr.transmission(freq);
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| 72 | // if ((k>10) && (k<25)) cout << " DBG - K = " << k <<
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| 73 | // " Nu= " << nu(k) << " Tnu= " << tnu(k) << endl;
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| 74 | mtx(0,k) = nu(k);
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| 75 | mtx(1,k) = tnu(k);
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| 76 | img(k,0) = nu(k);
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| 77 | img(k,1) = tnu(k);
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| 78 | }
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| 79 | if ((typ == 0) && (narg > 6)) { // Writing to ppf file
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| 80 | cout << "writing SpecRespVec(" << npt << ") to PPF file: "
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| 81 | << (string)(arg[6]) << endl;
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| 82 | cout << sr ;
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| 83 | cout << srv ;
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| 84 | {
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| 85 | POutPersist pos(arg[6]);
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| 86 | pos << srv;
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| 87 | }
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| 88 | PrtTim("End of ImageR4->PPF ");
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| 89 | }
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| 90 |
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| 91 | }
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| 92 | else { // Generation de RadSpectraVec from PowerLawSpectra
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| 93 | double a,nu0,dnu,b,fmin,fmax;
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| 94 | a = 1.0;
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| 95 | nu0 = 143.;
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| 96 | b = 0.;
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| 97 | dnu = 10.;
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| 98 | fmin = 10.;
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| 99 | fmax = 1000.;
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| 100 | sscanf(arg[2],"%lg,%lg,%lg,%lg,%lg,%lg",&a,&nu0,&dnu,&b,&fmin,&fmax);
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| 101 | cout << " PowerLawSpectra f = a ((nu-nu0)/dnu)^b " << endl;
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| 102 | sprintf(buff,"A=%g Nu0=%g DNu=%g B=%g FMin=%g FMax=%g",
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| 103 | a,nu0,dnu,b,fmin,fmax);
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| 104 | cout << "Decoded params: " << (string)buff << endl;
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| 105 | PowerLawSpectra rs(a,b, nu0, dnu, fmin, fmax);
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| 106 | cout << rs << endl;
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| 107 | cout << " Creating RadSpectraVec() ... " << endl;
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| 108 | Vector v1(10);
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| 109 | Vector v2(10);
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| 110 | RadSpectraVec rsv(v1, v2, fmin, fmax);
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| 111 | Vector & nu = rsv.getNuVec();
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| 112 | Vector & fnu = rsv.getFNuVec();
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| 113 | nu.ReSize(npt);
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| 114 | fnu.ReSize(npt);
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| 115 | double freq;
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| 116 | double dfreq = (fmax-fmin)/(npt-3);
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| 117 | for(k=0; k<npt; k++) {
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| 118 | freq = fmin+(k-1)*dfreq;
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| 119 | nu(k) = freq;
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| 120 | fnu(k) = rs.flux(freq);
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| 121 | // if ((k>10) && (k<25)) cout << " DBG2 - K = " << k <<
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| 122 | // " Nu= " << nu(k) << " Fnu= " << fnu(k) << endl;
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| 123 | mtx(0,k) = nu(k);
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| 124 | mtx(1,k) = fnu(k);
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| 125 | img(k,0) = nu(k);
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| 126 | img(k,1) = fnu(k);
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| 127 | }
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| 128 | }
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| 129 |
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| 130 | PrtTim("End of filling ");
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| 131 |
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[1120] | 132 | {
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[761] | 133 | cout << "\n Writing Matrix NRows= " << mtx.NRows() << " NCols= "
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| 134 | << mtx.NCols() << " to FITS file: " << (string)(arg[4]) << endl;
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[1120] | 135 | FITS_TArray<r_8> fios(&mtx);
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| 136 | fios.Write(arg[4]); // $CHECK$ A passer em HDU=2 , Reza 31/7/2000
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[761] | 137 | PrtTim("End of Matrix->FITS ");
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[1120] | 138 | }
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[761] | 139 |
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| 140 | if (narg > 5) { // Writing ImageR4 fo FITS file
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| 141 | cout << "wrting ImageR4(" << npt << ", 2) to FITS file: "
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| 142 | << (string)(arg[5]) << endl;
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[1120] | 143 | FITS_TArray<r_4> fios(&img);
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| 144 | fios.Write(arg[5]);
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[761] | 145 | PrtTim("End of ImageR4->FITS ");
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| 146 | }
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[1141] | 147 | }
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| 148 | catch (PThrowable & exc) {
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| 149 | cerr << "tgrsr/Error Catched Exception " << (string)typeid(exc).name()
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| 150 | << " - Msg= " << exc.Msg() << endl;
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| 151 | }
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| 152 | catch (...) {
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| 153 | cerr << "tgrsr/Error some other exception was caught ! " << endl;
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| 154 | }
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| 155 |
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[761] | 156 | cout << " ============ End of tgrsr program ======== " << endl;
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| 157 | return 0;
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| 158 | }
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