1 | #include "sopnamsp.h"
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2 | #include "machdefs.h"
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3 | #include <iostream>
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4 | #include <stdlib.h>
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5 | #include <stdio.h>
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6 | #include <string.h>
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7 | #include <math.h>
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8 | #include <vector>
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9 |
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10 | #include "pexceptions.h"
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11 |
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12 | #include "histos.h"
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13 | #include "srandgen.h"
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14 |
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15 | #include "geneutils.h"
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16 | #include "agnjackson.h"
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17 |
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18 | namespace SOPHYA {
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19 |
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20 | AGNJackson::AGNJackson(void)
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21 | : nobjang_(0.) , fluxang_(0.) , dndls_(NULL), tirls_(NULL)
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22 | {
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23 |
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24 | //--- Les valeurs lues sur la courbe de Jackson (from JIM)
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25 | const int nval = 10;
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26 | // log10(S en Jy)
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27 | double x[nval] = {-7.,-6.,-5.,-4.,-3.,-2.,-1.,0.,1.,2.};
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28 | // S^2.5*dN/dS (en Jy^1.5 /sr)
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29 | double y[nval] = {0.0035,0.14,0.95,2.5,7.,50.,260.,300.,150.,100.};
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30 |
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31 | if(sizeof(x)!=sizeof(y) || sizeof(y)!=8*nval) {
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32 | cout<<"AGNJackson::AGNJackson_Error: incompatible x,y,nval sizes"<<endl;
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33 | throw SzMismatchError("AGNJackson::AGNJackson_Error: incompatible x,y,nval sizes");
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34 | }
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35 |
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36 | xjack_.resize(0); yjack_.resize(0);
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37 | for(int i=0;i<nval;i++)
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38 | {xjack_.push_back(x[i]); yjack_.push_back(y[i]);}
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39 |
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40 | // On cree l'histo: dndls = dN/dlog10(S) en fct de log10(S en Jy)
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41 | int nbin = nval*20;
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42 | double xmin = x[0], xmax=x[nval-1];
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43 | dndls_ = new Histo(xmin,xmax,nbin);
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44 | dndls_->Zero();
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45 |
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46 | // On remplit les histos
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47 | // yjack_ = S^2.5 * dN/dS (en Jy^1.5 /sr) en fct de xjack_ = log10(S en Jy)
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48 | // dndls: dN/dlog10(S) (en 1/log10(Jy)/sr) en fct de log10(S en Jy)
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49 | // avec dN/dlog10(S) = dN/dS * dS/dlog10(S)
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50 | // = (S^2.5*dN/dS)*S^(-2.5) * (ln(10)*S)
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51 | // On va interpoler en log(dN/dlog10(S)) versus log10(S)
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52 | vector<double> Y;
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53 | for(int i=0;i<nval;i++) {
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54 | double v = yjack_[i]*pow(10.,-1.5*xjack_[i])*M_LN10;
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55 | Y.push_back(log(v));
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56 | }
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57 | for(int i=0;i<nbin;i++) {
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58 | double lf = dndls_->BinCenter(i);
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59 | // Interpolation lineaire (parabolic not OK!)
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60 | double v = InterpTab(lf,xjack_,Y,1);
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61 | (*dndls_)(i) = exp(v);
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62 | }
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63 |
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64 | // On remplit la fonction de tirage
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65 | tirls_ = new FunRan(*dndls_,true);
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66 |
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67 | // On calcul le nombre moyen d'AGN et le flux moyen par sr
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68 | // ATTENTION: dn/dlog10(S) en fct de log10(s)
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69 | nobjang_ = fluxang_ = 0.;
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70 | for(int i=0;i<nbin;i++) {
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71 | double lf = dndls_->BinCenter(i);
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72 | nobjang_ += (*dndls_)(i);
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73 | fluxang_ += (*dndls_)(i)*pow(10.,lf);
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74 | }
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75 | nobjang_ *= dndls_->BinWidth();
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76 | fluxang_ *= dndls_->BinWidth();
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77 |
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78 | }
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79 |
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80 | AGNJackson::~AGNJackson(void)
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81 | {
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82 | if(dndls_!=NULL) delete dndls_;
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83 | if(tirls_!=NULL) delete tirls_;
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84 | }
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85 |
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86 | void AGNJackson::Print(void)
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87 | {
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88 | cout<<"AGNJackson::Print: nobj="<<nobjang_
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89 | <<" /sr, flux="<<fluxang_<<" Jy/sr"<<endl;
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90 | dndls_->Show();
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91 | }
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92 |
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93 | void AGNJackson::OrigJack(vector<double>& xjack,vector<double>& yjack)
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94 | {
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95 | xjack = xjack_;
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96 | yjack = yjack_;
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97 | }
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98 |
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99 | } // Fin namespace SOPHYA
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