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 <unistd.h>
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9 | #include "timing.h"
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10 | #include "ntuple.h"
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11 | #include "matharr.h"
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12 | #include "srandgen.h"
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13 | #include "perandom.h"
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14 | #include "fabtwriter.h"
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15 |
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16 | #include "arrctcast.h"
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17 |
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18 | #include "constcosmo.h"
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19 | #include "schechter.h"
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20 | #include "geneutils.h"
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21 | #include "integfunc.h"
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22 | #include "genefluct3d.h"
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23 |
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24 | void usage(void);
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25 | void usage(void)
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26 | {
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27 | cout<<"cmvobserv3d [-a] [-0]"<<endl
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28 | <<" -a : init auto de l aleatoire"<<endl
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29 | <<" -0 : use methode ComputeFourier0"<<endl
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30 | <<" -x nx,dx : taille en x (npix,Mpc)"<<endl
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31 | <<" -y ny,dy : taille en y (npix,Mpc)"<<endl
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32 | <<" -z nz,dz : taille en z (npix,Mpc)"<<endl
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33 | <<" -Z zref : redshift median"<<endl
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34 | <<" -s snoise : sigma du bruit en Msol"<<endl
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35 | <<endl;
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36 | }
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37 |
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38 | int main(int narg,char *arg[])
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39 | {
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40 | InitTim();
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41 |
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42 | //-----------------------------------------------------------------
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43 | // *** Survey definition
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44 | long nx=360, ny=-1, nz=64; double dx=1., dy=-1., dz=-1.;
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45 | //long nx=1000, ny=-1, nz=128; double dx=3., dy=-1., dz=6.;
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46 | //long nx=1200, ny=-1, nz=128; double dx=1., dy=-1., dz=3;
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47 |
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48 | // *** Cosmography definition (WMAP)
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49 | double ob0 = 0.0444356;
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50 | double h100=0.71, om0=0.267804, or0=7.9e-05, ol0=0.73,w0=-1.;
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51 | double zref = 0.5;
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52 |
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53 | // *** Spectrum and variance definition
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54 | double ns = 1., as = 1.;
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55 | double R=8./h100, Rg=R/sqrt(5.);
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56 | double sigmaR = 1.;
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57 |
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58 | double kmin=1e-5,kmax=1000.;
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59 | int npt = 10000;
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60 | double lkmin=log10(kmin), lkmax=log10(kmax);
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61 | double eps=1.e-3;
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62 |
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63 | // *** Schechter mass function definition
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64 | double h75 = 0.71 / 0.75;
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65 | double nstar = 0.006*pow(h75,3.);
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66 | double mstar = pow(10.,9.8/(h75*h75)); // MSol
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67 | double alpha = -1.37;
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68 |
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69 | double schmin=1e8, schmax=1e12;
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70 | int schnpt = 1000;
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71 | double lschmin=log10(schmin), lschmax=log10(schmax), dlsch=(lschmax-lschmin)/schnpt;
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72 |
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73 | // *** Niveau de bruit
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74 | double snoise= 0.; // en equivalent MSol
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75 |
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76 | // *** type de generation
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77 | bool computefourier0=false;
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78 | unsigned short nthread=4;
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79 |
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80 | // --- Decodage arguments
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81 |
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82 | char c;
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83 | while((c = getopt(narg,arg,"ha0x:y:z:s:Z:")) != -1) {
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84 | switch (c) {
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85 | case 'a' :
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86 | Auto_Ini_Ranf(5);
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87 | break;
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88 | case '0' :
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89 | computefourier0 = true;
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90 | break;
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91 | case 'x' :
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92 | sscanf(optarg,"%ld,%lf",&nx,&dx);
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93 | break;
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94 | case 'y' :
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95 | sscanf(optarg,"%ld,%lf",&ny,&dy);
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96 | break;
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97 | case 'z' :
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98 | sscanf(optarg,"%ld,%lf",&nz,&dz);
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99 | break;
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100 | case 's' :
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101 | sscanf(optarg,"%lf",&snoise);
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102 | break;
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103 | case 'Z' :
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104 | sscanf(optarg,"%lf",&zref);
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105 | break;
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106 | case 'h' :
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107 | default :
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108 | usage(); return -1;
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109 | }
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110 | }
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111 |
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112 | string tagobs = "cmvobserv3d.ppf";
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113 | POutPersist posobs(tagobs);
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114 |
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115 | cout<<"zref="<<zref<<endl;
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116 | cout<<"nx="<<nx<<" dx="<<dx<<" ny="<<ny<<" dy="<<dy<<" nz="<<nz<<" dz="<<dz<<endl;
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117 | cout<<"kmin="<<kmin<<" ("<<lkmin<<"), kmax="<<kmax<<" ("<<lkmax<<") Mpc^-1"
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118 | <<", npt="<<npt<<endl;
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119 | cout<<"R="<<R<<" Rg="<<Rg<<" Mpc, sigmaR="<<sigmaR<<endl;
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120 | cout<<"nstar= "<<nstar<<" mstar="<<mstar<<" alpha="<<alpha<<endl;
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121 | cout<<"schmin="<<schmin<<" ("<<lschmin
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122 | <<"), schmax="<<schmax<<" ("<<lschmax<<") Msol"
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123 | <<", schnpt="<<schnpt<<endl;
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124 | cout<<"snoise="<<snoise<<" equivalent Msol"<<endl;
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125 |
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126 | //-----------------------------------------------------------------
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127 | cout<<endl<<"\n--- Create Spectrum and mass function"<<endl;
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128 |
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129 | InitialSpectrum pkini(ns,as);
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130 |
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131 | TransfertEisenstein tf(h100,om0-ob0,ob0,T_CMB_Par,false);
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132 | //tf.SetNoOscEnv(2);
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133 |
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134 | GrowthFactor d1(om0,ol0);
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135 |
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136 | PkSpectrum0 pk0(pkini,tf);
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137 |
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138 | PkSpectrumZ pkz(pk0,d1,zref);
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139 |
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140 | Schechter sch(nstar,mstar,alpha);
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141 |
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142 | //-----------------------------------------------------------------
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143 | pkz.SetZ(0.);
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144 | cout<<endl<<"\n--- Compute variance for top-hat R="<<R
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145 | <<" at z="<<pkz.GetZ()<<endl;
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146 | VarianceSpectrum varpk_th(pkz,0);
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147 | double kfind_th = varpk_th.FindMaximum(R,kmin,kmax,eps);
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148 | double pkmax_th = varpk_th(kfind_th);
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149 | cout<<"kfind_th = "<<kfind_th<<" ("<<log10(kfind_th)<<"), integrand="<<pkmax_th<<endl;
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150 | double k1=kmin, k2=kmax;
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151 | int rc = varpk_th.FindLimits(R,pkmax_th/1.e4,k1,k2,eps);
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152 | cout<<"limit_th: rc="<<rc<<" : "<<k1<<" ("<<log10(k1)<<") , "
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153 | <<k2<<" ("<<log10(k2)<<")"<<endl;
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154 |
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155 | double ldlk = (log10(k2)-log10(k1))/npt;
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156 | varpk_th.SetInteg(0.01,ldlk,-1.,4);
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157 | double sr2 = varpk_th.Variance(R,k1,k2);
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158 | cout<<"varpk_th="<<sr2<<" -> sigma="<<sqrt(sr2)<<endl;
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159 |
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160 | double normpkz = sigmaR*sigmaR/sr2;
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161 | pkz.SetScale(normpkz);
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162 | cout<<"Spectrum normalisation = "<<pkz.GetScale()<<endl;
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163 |
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164 | pkz.SetZ(zref);
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165 |
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166 | Histo hpkz(lkmin,lkmax,npt); hpkz.ReCenterBin();
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167 | FuncToHisto(pkz,hpkz,true);
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168 | {
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169 | tagobs = "hpkz"; posobs.PutObject(hpkz,tagobs);
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170 | }
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171 |
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172 | //-----------------------------------------------------------------
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173 | cout<<endl<<"\n--- Compute variance for Pk at z="<<pkz.GetZ()<<endl;
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174 | VarianceSpectrum varpk_int(pkz,2);
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175 |
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176 | double kfind_int = varpk_int.FindMaximum(R,kmin,kmax,eps);
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177 | double pkmax_int = varpk_int(kfind_int);
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178 | cout<<"kfind_int = "<<kfind_int<<" ("<<log10(kfind_int)<<"), integrand="<<pkmax_int<<endl;
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179 | double k1int=kmin, k2int=kmax;
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180 | int rcint = varpk_int.FindLimits(R,pkmax_int/1.e4,k1int,k2int,eps);
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181 | cout<<"limit_int: rc="<<rcint<<" : "<<k1int<<" ("<<log10(k1int)<<") , "
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182 | <<k2int<<" ("<<log10(k2int)<<")"<<endl;
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183 |
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184 | double ldlkint = (log10(k2int)-log10(k1int))/npt;
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185 | varpk_int.SetInteg(0.01,ldlkint,-1.,4);
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186 | double sr2int = varpk_int.Variance(R,k1int,k2int);
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187 | cout<<"varpk_int="<<sr2int<<" -> sigma="<<sqrt(sr2int)<<endl;
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188 |
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189 | PrtTim("End of definition");
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190 |
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191 | //-----------------------------------------------------------------
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192 | cout<<endl<<"\n--- Compute galaxies density number"<<endl;
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193 |
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194 | sch.SetOutValue(0);
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195 | cout<<"sch(mstar) = "<<sch(mstar)<<" /Mpc^3/Msol"<<endl;
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196 | double ngal_by_mpc3 = IntegrateFuncLog(sch,lschmin,lschmax,0.01,dlsch,10.*dlsch,4);
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197 | cout<<"Galaxy density number = "<<ngal_by_mpc3<<" /Mpc^3 between limits"<<endl;
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198 |
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199 | sch.SetOutValue(1);
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200 | cout<<"mstar*sch(mstar) = "<<sch(mstar)<<" Msol/Mpc^3/Msol"<<endl;
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201 | double mass_by_mpc3 = IntegrateFuncLog(sch,lschmin,lschmax,0.01,dlsch,10.*dlsch,4);
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202 | cout<<"Galaxy mass density= "<<mass_by_mpc3<<" Msol/Mpc^3 between limits"<<endl;
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203 |
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204 | //-----------------------------------------------------------------
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205 | // FFTW3 (p26): faster if sizes 2^a 3^b 5^c 7^d 11^e 13^f with e+f=0 ou 1
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206 | cout<<endl<<"\n--- Compute Spectrum Realization"<<endl;
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207 |
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208 | pkz.SetZ(zref);
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209 | TArray< complex<r_8> > pkgen;
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210 | GeneFluct3D fluct3d(pkgen,pkz);
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211 | fluct3d.SetNThread(nthread);
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212 | fluct3d.SetSize(nx,ny,nz,dx,dy,dz);
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213 | fluct3d.Print();
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214 | double knyqmax = fluct3d.GetKmax();
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215 | double dkmin = fluct3d.GetKinc()[0];
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216 |
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217 | cout<<"\n--- Computing spectra variance up to Kmax at z="<<pkz.GetZ()<<endl;
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218 | // En fait on travaille sur un cube inscrit dans la sphere de rayon kmax:
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219 | // sphere: Vs = 4Pi/3 k^3 , cube inscrit (cote k*sqrt(2)): Vc = (k*sqrt(2))^3
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220 | // Vc/Vs = 0.675 -> keff = kmax * (0.675)^(1/3) = kmax * 0.877
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221 | knyqmax *= 0.877;
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222 | ldlkint = (log10(knyqmax)-log10(k1int))/npt;
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223 | varpk_int.SetInteg(0.01,ldlkint,-1.,4);
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224 | double sr2int_kmax = varpk_int.Variance(R,k1int,knyqmax);
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225 | cout<<"varpk_int(<"<<knyqmax<<")="<<sr2int_kmax<<" -> sigma="<<sqrt(sr2int_kmax)<<endl;
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226 |
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227 | cout<<"\n--- Computing a realization in Fourier space"<<endl;
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228 | if(computefourier0) fluct3d.ComputeFourier0();
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229 | else fluct3d.ComputeFourier();
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230 |
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231 | cout<<"\n--- Checking realization spectra"<<endl;
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232 | long nhprof = long(fluct3d.GetKmax()/dkmin+0.5);
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233 | HProf hpkgen(0.,fluct3d.GetKmax(),nhprof);
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234 | hpkgen.ReCenterBin();
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235 | fluct3d.ComputeSpectrum(hpkgen);
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236 | {
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237 | tagobs = "hpkgen"; posobs.PutObject(hpkgen,tagobs);
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238 | }
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239 |
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240 | if(1) {
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241 | cout<<"\n--- Computing convolution by pixel shape"<<endl;
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242 | fluct3d.FilterByPixel();
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243 |
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244 | cout<<"\n--- Checking realization spectra after pixel shape convol."<<endl;
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245 | HProf hpkgenf(hpkgen); hpkgenf.Zero();
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246 | fluct3d.ComputeSpectrum(hpkgenf);
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247 | {
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248 | tagobs = "hpkgenf"; posobs.PutObject(hpkgenf,tagobs);
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249 | }
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250 | }
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251 |
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252 | if(0) {
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253 | cout<<"\n--- Writing cmvobserv3dk.ppf"<<endl;
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254 | string tag = "cmvobserv3dk.ppf";
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255 | POutPersist pos(tag);
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256 | tag = "pkgen"; pos.PutObject(pkgen,tag);
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257 | }
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258 |
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259 | cout<<"\n--- Computing a realization in real space"<<endl;
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260 | fluct3d.ComputeReal();
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261 | r_8 undouble=0.;
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262 | TArray<r_8> rgen = ArrayCast(pkgen,undouble);
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263 | double rmin,rmax; rgen.MinMax(rmin,rmax);
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264 | cout<<"rgen.Min = "<<rmin<<" , Max="<<rmax<<endl;
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265 |
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266 | cout<<"\n--- Check mean and variance in real space"<<endl;
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267 | int_8 nlowone = fluct3d.NumberOfBad(-1.,1e+200);
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268 | double rm,rs2; int_8 nm;
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269 | nm = fluct3d.MeanSigma2(rm,rs2);
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270 | cout<<"rgen:("<<nm<<") Mean = "<<rm<<", Sigma^2 = "
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271 | <<rs2<<" -> "<<sqrt(rs2)<<", n(<-1)="<<nlowone<<endl;
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272 |
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273 | if(1) {
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274 | cout<<"\n--- Check variance sigmaR in real space"<<endl;
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275 | double varr;
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276 | int_8 nvarr = fluct3d.VarianceFrReal(R,varr);
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277 | cout<<"R="<<R<<" : sigmaR^2="<<varr<<" -> "<<sqrt(varr)<<", n="<<nvarr<<endl;
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278 | }
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279 |
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280 | //-----------------------------------------------------------------
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281 | cout<<endl<<"\n--- Converting fluctuations into mass"<<endl;
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282 | fluct3d.TurnFluct2Mass();
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283 | nm = fluct3d.MeanSigma2(rm,rs2);
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284 | cout<<"1+rgen: ("<<nm<<") Mean = "<<rm<<", Sigma^2 = "
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285 | <<rs2<<" -> "<<sqrt(rs2)<<endl;
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286 |
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287 | cout<<"\n--- Converting mass into galaxy number"<<endl;
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288 | rm = fluct3d.TurnMass2MeanNumber(ngal_by_mpc3);
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289 | cout<<rm<<" galaxies put into survey"<<endl;
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290 | nm = fluct3d.MeanSigma2(rm,rs2,0.);
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291 | cout<<"galaxy: ("<<nm<<") Mean = "<<rm<<", Sigma^2 = "
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292 | <<rs2<<" -> "<<sqrt(rs2)<<endl;
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293 |
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294 | cout<<"\n--- Set negative pixels to BAD"<<endl;
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295 | nm = fluct3d.SetToVal(0.,1e+200,-999.);
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296 | cout<<nm<<" negative in survey set to BAD"<<endl;
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297 | nm = fluct3d.MeanSigma2(rm,rs2,-998.);
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298 | cout<<"galaxy: ("<<nm<<") Mean = "<<rm<<", Sigma^2 = "
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299 | <<rs2<<" -> "<<sqrt(rs2)<<endl;
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300 |
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301 | cout<<"\n--- Apply poisson on galaxie number"<<endl;
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302 | nm = fluct3d.ApplyPoisson();
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303 | cout<<nm<<" galaxies into survey after poisson"<<endl;
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304 | nm = fluct3d.MeanSigma2(rm,rs2,-998.);
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305 | cout<<"galaxy: ("<<nm<<") Mean = "<<rm<<", Sigma^2 = "
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306 | <<rs2<<" -> "<<sqrt(rs2)<<endl;
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307 |
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308 | cout<<"\n--- Convert Galaxies number to HI mass"<<endl;
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309 | long nhmdndm = long( (lschmax-lschmin+1.)*100. + 0.5);
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310 | Histo hmdndm(lschmin,lschmax,nhmdndm);
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311 | sch.SetOutValue(1);
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312 | FuncToHisto(sch,hmdndm,true);
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313 | FunRan tirhmdndm(hmdndm,true);
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314 | {
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315 | tagobs = "hmdndm"; posobs.PutObject(hmdndm,tagobs);
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316 | Histo hdum1(tirhmdndm);
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317 | tagobs = "tirhmdndm"; posobs.PutObject(hdum1,tagobs);
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318 | }
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319 | double mhi = fluct3d.TurnNGal2Mass(tirhmdndm,true);
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320 | cout<<mhi<<" MSol in survey / "<<mass_by_mpc3*fluct3d.GetVol()<<endl;
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321 | nm = fluct3d.MeanSigma2(rm,rs2,0.);
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322 | cout<<"HI mass: ("<<nm<<") Mean = "<<rm<<", Sigma^2 = "
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323 | <<rs2<<" -> "<<sqrt(rs2)<<endl;
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324 | cout<<"Equivalent: "<<rm*nm/fluct3d.NPix()<<" Msol / pixels"<<endl;
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325 |
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326 | cout<<"\n--- Set BAD pixels to Zero"<<endl;
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327 | nm = fluct3d.SetToVal(-998.,1e+200,0.);
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328 | cout<<nm<<" BAD in survey set to zero"<<endl;
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329 | nm = fluct3d.MeanSigma2(rm,rs2);
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330 | cout<<"galaxy: ("<<nm<<") Mean = "<<rm<<", Sigma^2 = "
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331 | <<rs2<<" -> "<<sqrt(rs2)<<endl;
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332 |
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333 | if(1) {
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334 | cout<<"\n---Writing Cube to Fits file"<<endl;
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335 | FitsImg3DWriter fwrt("!cmvobserv3dr.fits",FLOAT_IMG,5);
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336 | fwrt.WriteKey("ZREF",zref," redshift");
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337 | vector<long> n = fluct3d.GetNpix();
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338 | fwrt.WriteKey("NX",n[0]," axe transverse 1");
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339 | fwrt.WriteKey("NY",n[1]," axe transverse 2");
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340 | fwrt.WriteKey("NZ",n[2]," axe longitudinal (redshift)");
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341 | vector<r_8> d;
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342 | d = fluct3d.GetDinc();
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343 | fwrt.WriteKey("DX",d[0]," Mpc");
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344 | fwrt.WriteKey("DY",d[1]," Mpc");
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345 | fwrt.WriteKey("DZ",d[2]," Mpc");
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346 | d = fluct3d.GetKinc();
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347 | fwrt.WriteKey("DKX",d[0]," Mpc^-1");
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348 | fwrt.WriteKey("DKY",d[1]," Mpc^-1");
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349 | fwrt.WriteKey("DKZ",d[2]," Mpc^-1");
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350 | fwrt.WriteKey("SNOISE",snoise," Msol");
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351 | fwrt.Write(rgen);
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352 | }
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353 |
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354 | cout<<"\n--- Add noise to HI Flux snoise="<<snoise<<endl;
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355 | fluct3d.AddNoise2Real(snoise);
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356 | nm = fluct3d.MeanSigma2(rm,rs2);
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357 | cout<<"HI mass with noise: ("<<nm<<") Mean = "<<rm<<", Sigma^2 = "
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358 | <<rs2<<" -> "<<sqrt(rs2)<<endl;
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359 |
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360 | if(0) {
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361 | cout<<"\n--- Writing cmvobserv3dr.ppf"<<endl;
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362 | string tag = "cmvobserv3dr.ppf";
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363 | POutPersist pos(tag);
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364 | tag = "rgen"; pos.PutObject(rgen,tag);
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365 | }
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366 |
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367 | //-----------------------------------------------------------------
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368 | // -- NE PAS FAIRE CA SI ON VEUT CONTINUER LA SIMULATION -> d_rho/rho ecrase
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369 | if(1) {
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370 | cout<<endl<<"\n--- ReComputing spectrum from real space"<<endl;
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371 | fluct3d.ReComputeFourier();
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372 | HProf hpkrec(0.,fluct3d.GetKmax(),nhprof);
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373 | hpkrec.ReCenterBin();
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374 | fluct3d.ComputeSpectrum(hpkrec);
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375 | tagobs = "hpkrec"; posobs.PutObject(hpkrec,tagobs);
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376 | }
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377 |
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378 | return 0;
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379 | }
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380 |
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381 | /*
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382 | openppf cmvobserv3dk.ppf
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383 | openppf cmvobserv3dr.ppf
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384 | openppf cmvobserv3d.ppf
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385 |
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386 | objaoper pkgen sliceyz 0
|
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387 |
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388 | n/plot hpkz.val%x ! ! "nsta connectpoints"
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389 | n/plot hpkgen.val%log10(x) x>0 ! "nsta same red connectpoints"
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390 | n/plot hpkgenf.val%log10(x) x>0 ! "nsta same orange connectpoints"
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391 | n/plot hpkrec.val%log10(x) x>0 ! "nsta same blue connectpoints"
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392 |
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393 | set k pow(10.,x)
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394 | n/plot hpkz.val*$k*$k/(2*M_PI*M_PI)%x ! "connectpoints"
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395 |
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396 | defscript rgensl
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397 | objaoper rgen sliceyz $1
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398 | disp sliceyz_$1
|
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399 | endscript
|
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400 |
|
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401 | rgensl 0
|
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402 |
|
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403 | disp hmdndm
|
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404 | disp tirhmdndm
|
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405 | addline 0 1 20 1 "red"
|
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406 |
|
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407 | */
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