1 | #include "machdefs.h"
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2 | #include <iostream>
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3 | #include <stdlib.h>
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4 | #include <stdio.h>
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5 | #include <string.h>
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6 | #include <math.h>
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7 | #include <unistd.h>
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8 |
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9 | #include "pexceptions.h"
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10 |
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11 | #include "constcosmo.h"
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12 | #include "geneutils.h"
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13 | #include "pkspectrum.h"
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14 |
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15 | namespace SOPHYA {
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16 |
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17 | ///////////////////////////////////////////////////////////
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18 | //******************** InitialSpectrum ******************//
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19 | ///////////////////////////////////////////////////////////
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20 |
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21 | InitialSpectrum::InitialSpectrum(double n,double a)
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22 | : n_(n), A_(a)
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23 | {
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24 | }
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25 |
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26 | InitialSpectrum::InitialSpectrum(InitialSpectrum& pkinf)
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27 | : n_(pkinf.n_), A_(pkinf.A_)
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28 | {
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29 | }
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30 |
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31 | InitialSpectrum::~InitialSpectrum(void)
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32 | {
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33 | }
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34 |
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35 |
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36 | ///////////////////////////////////////////////////////////
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37 | //****************** TransfertEisenstein ****************//
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38 | ///////////////////////////////////////////////////////////
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39 |
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40 | // From Eisenstein & Hu ApJ 496:605-614 1998 April 1 (ou astro-ph/9709112)
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41 | TransfertEisenstein::TransfertEisenstein(double h100,double OmegaCDM0,double OmegaBaryon0,double tcmb,bool nobaryon,int lp)
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42 | : lp_(lp)
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43 | , Oc_(OmegaCDM0) , Ob_(OmegaBaryon0) , h100_(h100) , tcmb_(tcmb)
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44 | , nobaryon_(nobaryon) , nooscenv_(0), retpart_(ALL)
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45 | {
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46 | zero_();
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47 | Init_();
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48 | }
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49 |
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50 | TransfertEisenstein::TransfertEisenstein(TransfertEisenstein& tf)
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51 | : lp_(tf.lp_)
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52 | ,Oc_(tf.Oc_) , Ob_(tf.Ob_) , h100_(tf.h100_) , tcmb_(tf.tcmb_)
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53 | , nobaryon_(tf.nobaryon_) , nooscenv_(tf.nooscenv_), retpart_(tf.retpart_)
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54 | {
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55 | zero_();
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56 | Init_();
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57 | }
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58 |
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59 | TransfertEisenstein::~TransfertEisenstein(void)
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60 | {
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61 | }
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62 |
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63 | void TransfertEisenstein::zero_(void)
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64 | {
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65 | th2p7_=zeq_=keq_=zd_=Req_=Rd_=s_=ksilk_=alphac_=betac_=bnode_
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66 | =alphab_=betab_=alphag_=sfit_=kpeak_=1.e99;
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67 | }
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68 |
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69 | void TransfertEisenstein::Init_(void)
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70 | {
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71 |
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72 | O0_ = Oc_ + Ob_;
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73 | if(nobaryon_) {O0_ = Oc_; Ob_ = 0.;}
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74 | double H0 = 100. * h100_, h2 = h100_*h100_;
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75 | if(lp_) cout<<"h100="<<h100_<<" H0="<<H0<<") Omatter="<<O0_<<" Ocdm="<<Oc_<<" Ob="<<Ob_<<endl;
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76 |
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77 |
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78 | if(tcmb_<0.) tcmb_ = T_CMB_Par;
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79 | th2p7_ = tcmb_/2.7;
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80 | double th2p7P4 = th2p7_*th2p7_*th2p7_*th2p7_;
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81 | if(lp_) cout<<"tcmb = "<<tcmb_<<" K = "<<th2p7_<<" *2.7K "<<endl;
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82 |
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83 | // Formule 2 p 606
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84 | zeq_ = 2.50e4 * O0_ * h2 / th2p7P4;
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85 | if(lp_) cout<<"zeq = "<<zeq_<<" (redshift of matter-radiation equality)"<<endl;
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86 |
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87 | // Formule 3 p 607
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88 | // (attention ici C=1 : H0 -> H0/C si on utilise la premiere formule)
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89 | // keq_ = sqrt(2.*O0_*H0*H0*zeq_) / SpeedOfLight_Cst;
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90 | keq_ = 7.46e-2 * O0_ * h2 / (th2p7_*th2p7_);
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91 | if(lp_) cout<<"keq = "<<keq_<<" Mpc^-1 (scale of equality)"<<endl;
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92 |
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93 | // On s'arrete ici si pas de baryons
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94 | if(nobaryon_) return;
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95 |
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96 | // Formule 4 p 607
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97 | double b1_eq4 = 0.313*pow(O0_*h2,-0.419)*(1. + 0.607*pow(O0_*h2,0.674));
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98 | double b2_eq4 = 0.238*pow(O0_*h2,0.223);
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99 | zd_ = 1291. * pow(O0_*h2,0.251) / (1.+0.659* pow(O0_*h2,0.828))
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100 | * (1. + b1_eq4*pow(Ob_*h2,b2_eq4));
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101 | if(lp_) cout<<"zd = "<<zd_<<" (Redshift of drag epoch)"<<endl;
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102 |
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103 | // Formule 5 page 607 (R = 3*rho_baryon/4*rho_gamma)
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104 | Req_ = 31.5*Ob_*h2 / th2p7P4 * (1.e3/zeq_);
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105 | //WARNING: W.Hu code (tf_fit.c) en des-accord avec l'article: zd -> (1+zd)
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106 | Rd_ = 31.5*Ob_*h2 / th2p7P4 * (1.e3/zd_);
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107 | //in tf_fit.c: Rd_ = 31.5*Ob_*h2 / th2p7P4 * (1.e3/(1.+zd_));
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108 | if(lp_) {
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109 | cout<<"Req = "<<Req_<<" Rd = "<<Rd_
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110 | <<" (Photon-baryon ratio at equality/drag epoch)"<<endl;
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111 | cout<<"Sound speed at equality "<<1./sqrt(3.*(1.+Req_))
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112 | <<", at drag "<<1./sqrt(3.*(1.+Rd_))<<" in unit of C"<<endl;
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113 | }
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114 |
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115 | // Formule 6 p 607
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116 | s_ = 2./(3.*keq_) * sqrt(6./Req_)
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117 | * log( (sqrt(1.+Rd_) + sqrt(Rd_+Req_)) / (1.+sqrt(Req_)) );
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118 | if(lp_) cout<<"s = "<<s_<<" Mpc (sound horizon at drag epoch)"<<endl;
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119 |
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120 | // Formule 7 page 607
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121 | ksilk_ = 1.6*pow(Ob_*h2,0.52)*pow(O0_*h2,0.73) * (1. + pow(10.4*O0_*h2,-0.95));
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122 | if(lp_) cout<<"ksilk = "<<ksilk_<<" Mpc^-1 (silk damping scale)"<<endl;
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123 |
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124 | // Formules 10 page 608
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125 | double a1 = pow(46.9*O0_*h2,0.670) * (1. + pow(32.1*O0_*h2,-0.532));
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126 | double a2 = pow(12.0*O0_*h2,0.424) * (1. + pow(45.0*O0_*h2,-0.582));
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127 | alphac_ = pow(a1,-Ob_/O0_) * pow(a2,-pow(Ob_/O0_,3.));
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128 | double b1 = 0.944 / (1. + pow(458.*O0_*h2,-0.708));
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129 | double b2 = pow(0.395*O0_*h2,-0.0266);
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130 | betac_ = 1 / ( 1. + b1*(pow(Oc_/O0_,b2) - 1.) );
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131 | if(lp_) cout<<"alphac = "<<alphac_<<" betac = "<<betac_
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132 | <<" (CDM suppression/log shift)"<<endl;
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133 |
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134 | // Formule 23 page 610
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135 | bnode_ = 8.41 * pow(O0_*h2,0.435);
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136 | if(lp_) cout<<"bnode = "<<bnode_<<" (sound horizon shift)"<<endl;
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137 |
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138 | // Formule 14 page 608
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139 | //WARNING: W.Hu code (tf_fit.c) en des-accord avec l'article: (1+zeq) -> zeq
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140 | double y = (1.+zeq_)/(1.+zd_);
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141 | //in tf_fit.c: double y = zeq_/(1.+zd_);
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142 | double s1py = sqrt(1.+y);
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143 | double Gy = y*( -6.*s1py + (2.+3.*y)*log((s1py+1.)/(s1py-1.)) );
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144 | alphab_ = 2.07*keq_*s_*pow(1.+Rd_,-3./4.)*Gy;
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145 |
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146 | // Formule 24 page 610
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147 | betab_ = 0.5 + Ob_/O0_
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148 | + (3.-2.*Ob_/O0_) * sqrt(pow(17.2*O0_*h2,2.) + 1.);
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149 | if(lp_) cout<<"alphab = "<<alphab_<<" betab = "<<betab_
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150 | <<" (Baryon suppression/envelope shift)"<<endl;
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151 |
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152 | // Formule 31 page 612
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153 | alphag_ = 1.
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154 | - 0.328*log(431.*O0_*h2)*Ob_/O0_
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155 | + 0.38*log(22.3*O0_*h2)*pow(Ob_/O0_,2.);
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156 | if(lp_) cout<<"alphag = "<<alphag_<<" (gamma suppression in approximate TF)"<<endl;
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157 |
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158 | // The approximate value of the sound horizon, formule 26 page 611
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159 | sfit_ = 44.5*log(9.83/(O0_*h2)) / sqrt(1.+10.*pow(Ob_*h2,3./4.)); // Mpc
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160 | if(lp_) cout<<"sfit="<<sfit_<<" Mpc (fit to sound horizon)"<<endl;
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161 |
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162 | // La positoin du premier pic acoustique, formule 25 page 611
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163 | kpeak_ = 5*M_PI/(2.*sfit_) * (1.+0.217*O0_*h2); // 1/Mpc
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164 | if(lp_) cout<<"kpeak="<<kpeak_<<" Mpc^-1 (fit to wavenumber of first peak)"<<endl;
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165 |
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166 | return;
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167 | }
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168 |
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169 | bool TransfertEisenstein::SetParTo(double h100,double OmegaCDM0,double OmegaBaryon0)
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170 | // Changement des valeurs des parametres (suivi de re-init eventuel)
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171 | // Si h100,Omega...<=0. alors pas de changement, on garde l'ancienne valeur
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172 | {
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173 | bool haschanged = false;
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174 |
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175 | if(h100>0.) {h100_ = h100; haschanged = true;}
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176 | if(OmegaCDM0>0.) {Oc_ = OmegaCDM0; haschanged = true;}
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177 | if(OmegaBaryon0>0.) {Ob_ = OmegaBaryon0; haschanged = true;}
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178 |
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179 | // et on recalcule les initialisations
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180 | if(haschanged) Init_();
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181 |
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182 | return haschanged;
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183 | }
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184 |
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185 | void TransfertEisenstein::SetNoOscEnv(unsigned short nooscenv)
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186 | // To obtain an approximate form of the non-oscillatory part of the transfert function
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187 | // nooscenv = 0 : use the baryon oscillatory part of transfert function (full tf)
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188 | // nooscenv = 1 : use approx. paragraph 3.3 p610 (middle of right column)
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189 | // Replace j0(k*stilde) -> [1+(k*stilde)^4]^(-1/4)
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190 | // nooscenv = 2 : use formulae 29+30+31 page 612
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191 | // The value of an approximate transfer function that captures
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192 | // the non-oscillatory part of a partial baryon transfer function.
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193 | // In other words, the baryon oscillations are left out,
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194 | // but the suppression of power below the sound horizon is included.
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195 | {
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196 | if(nooscenv!=1 && nooscenv!=2) nooscenv = 0;
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197 | nooscenv_ = nooscenv;
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198 | }
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199 |
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200 | void TransfertEisenstein::SetReturnPart(ReturnPart retpart)
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201 | // To return only baryon or CDM part part of transfert function
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202 | // retpart = ALL: return full transfert function
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203 | // = CDM : return only CDM part of transfert function
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204 | // = BARYON : return only Baryon part of transfert function
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205 | // WARNING: only relevant for nobaryon_=false AND nooscenv!=2
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206 | {
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207 | retpart_ = retpart;
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208 | }
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209 |
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210 | void TransfertEisenstein::SetPrintLevel(int lp)
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211 | {
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212 | lp_ = lp;
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213 | }
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214 |
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215 |
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216 | double TransfertEisenstein::T0tild(double k,double alphac,double betac)
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217 | {
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218 | // Formule 10 p 608
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219 | //double q = k*th2p7_*th2p7_/(O0_*h100_*h100_);
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220 | double q = k/(13.41*keq_);
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221 | // Formule 20 p 610
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222 | double C = (14.2/alphac) + 386./(1.+69.9*pow(q,1.08));
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223 | // Formule 19 p 610
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224 | double x = log(M_E+1.8*betac*q);
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225 | return x / (x + C*q*q);
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226 | }
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227 |
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228 | double TransfertEisenstein::operator() (double k)
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229 | {
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230 |
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231 | // --- Pour zero baryon
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232 | // OU Pour function lissee sans oscillation baryon
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233 | if(nobaryon_ || nooscenv_ == 2) {
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234 | double gamma = O0_*h100_;
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235 | // Calcul de Gamma_eff, formule 30 page 612 (pour fct lissee)
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236 | if( nobaryon_==false && nooscenv_ == 2 )
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237 | gamma = O0_*h100_*(alphag_ + (1.-alphag_)/(1.+pow(0.43*k*sfit_,4.))); // Gamma_eff
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238 | // Formule 28 page 612 : qui est est equivalent a:
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239 | // q = k / h100_ * th2p7_*th2p7_ / gamma;
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240 | // qui est est equivalent a:
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241 | // q = k / (13.41 * keq) pour Ob=0
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242 | // q = k / (13.41 * keq) * (O0*h/Gamma) pour le spectre lisse
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243 | // Les resultats sont legerement differents a cause des valeurs approx.
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244 | // des constantes numeriques: on prend comme W.Hu (tf_fit.c)
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245 | //double q = k / h100_ * th2p7_*th2p7_ / gamma; // Mpc^-1
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246 | double q = k/(13.41*keq_) * (O0_*h100_/gamma); // Mpc^-1
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247 | // Formules 29 page 612
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248 | double l0 = log(2.*M_E + 1.8*q);
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249 | double c0 = 14.2 + 731./(1.+62.5*q);
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250 | return l0 / (l0 + c0*q*q);
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251 | }
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252 |
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253 | // --- Pour CDM + Baryons
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254 | // --- CDM
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255 | double f = 1. / (1. + pow(k*s_/5.4,4.));
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256 | double Tc = f*T0tild(k,1.,betac_) + (1.-f)*T0tild(k,alphac_,betac_);
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257 | if(retpart_ == CDM) return Tc;
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258 |
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259 | // --- Baryons
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260 | // Formule 22 page 610
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261 | double stilde, ksbnode = k*s_/bnode_;
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262 | if(ksbnode<0.001) stilde =s_ * ksbnode;
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263 | else stilde = s_ / pow(1. + pow(1./ksbnode,3.), 1./3.);
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264 | // Formule 21 page 610
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265 | double j0kst = 0.;
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266 | if(nooscenv_ == 1) {
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267 | j0kst = pow(1.+pow(k*stilde,4.) , -1./4.); //lissee sans oscillation baryon
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268 | } else {
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269 | double x = k*stilde;
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270 | if(x<0.01) j0kst = 1. - x*x/6.*(1.-x*x/20.);
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271 | else j0kst = sin(x)/x;
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272 | //cout<<"DEBUG: k="<<k<<" stilde="<<stilde<<" x="<<x<<" j0kst="<<j0kst<<endl;
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273 | }
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274 | double Tb = T0tild(k,1.,1.) / (1. + pow(k*s_/5.2,2.));
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275 | Tb += alphab_/(1.+pow(betab_/(k*s_),3.)) * exp(-pow(k/ksilk_,1.4));
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276 | Tb *= j0kst;
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277 | if(retpart_ == BARYON) return Tb;
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278 |
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279 | // --- Total
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280 | double T = (Ob_/O0_)*Tb + (Oc_/O0_)*Tc;
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281 |
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282 | return T;
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283 | }
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284 |
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285 | double TransfertEisenstein::KPeak(void)
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286 | // Position du premier pic acoustic
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287 | {
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288 | if(nobaryon_) return -1.;
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289 | return kpeak_;
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290 | }
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291 |
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292 |
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293 | ///////////////////////////////////////////////////////////
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294 | //******************* TransfertTabulate *****************//
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295 | ///////////////////////////////////////////////////////////
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296 |
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297 | TransfertTabulate::TransfertTabulate(double h100,double OmegaCDM0,double OmegaBaryon0)
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298 | : Oc_(OmegaCDM0) , Ob_(OmegaBaryon0) , h100_(h100) , kmin_(1.) , kmax_(-1.)
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299 | , interptyp_(0)
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300 | {
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301 | }
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302 |
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303 | TransfertTabulate::TransfertTabulate(TransfertTabulate& tf)
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304 | : Oc_(tf.Oc_) , Ob_(tf.Ob_) , h100_(tf.h100_) , kmin_(tf.kmin_) , kmax_(tf.kmax_)
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305 | , interptyp_(tf.interptyp_) , k_(tf.k_) , tf_(tf.tf_)
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306 | {
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307 | }
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308 |
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309 | TransfertTabulate::~TransfertTabulate(void)
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310 | {
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311 | }
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312 |
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313 | void TransfertTabulate::SetInterpTyp(int typ)
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314 | // see comment in InterpTab
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315 | {
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316 | if(typ<0) typ=0; else if(typ>2) typ=2;
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317 | interptyp_ = typ;
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318 | }
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319 |
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320 | double TransfertTabulate::operator() (double k)
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321 | {
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322 | return InterpTab(k,k_,tf_,interptyp_);
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323 | }
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324 |
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325 | int TransfertTabulate::ReadCMBFast(string filename)
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326 | {
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327 | FILE *file = fopen(filename.c_str(),"r");
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328 | if(file==NULL) return -1;
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329 |
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330 | const int lenline = 512;
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331 | char *line = new char[lenline];
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332 |
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333 | int nread = 0;
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334 | double tmax = -1.;
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335 | while ( fgets(line,lenline,file) != NULL ) {
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336 | double k,tc,tb,tf;
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337 | sscanf(line,"%lf %lf %lf",&k,&tc,&tb);
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338 | k *= h100_; // convert h^-1 Mpc -> Mpc
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339 | tf = (Oc_*tc+Ob_*tb)/(Oc_+Ob_);
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340 | if(tf>tmax) tmax = tf;
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341 | k_.push_back(k);
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342 | tf_.push_back(tf);
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343 | nread++;
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344 | }
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345 |
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346 | cout<<"TransfertTabulate::ReadCMBFast: nread="<<nread<<" tf_max="<<tmax<<endl;
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347 | delete [] line;
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348 | if(nread==0) return nread;
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349 |
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350 | for(unsigned int i=0;i<tf_.size();i++) tf_[i] /= tmax;
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351 |
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352 | return nread;
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353 | }
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354 |
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355 | ///////////////////////////////////////////////////////////
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356 | //********************* GrowthFactor ********************//
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357 | ///////////////////////////////////////////////////////////
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358 |
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359 | // From Eisenstein & Hu ApJ 496:605-614 1998 April 1
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360 | // Pour avoir D(z) = 1/(1+z) faire: OmegaMatter0=1 OmegaLambda0=0
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361 | GrowthFactor::GrowthFactor(double OmegaMatter0,double OmegaLambda0)
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362 | : O0_(OmegaMatter0) , Ol_(OmegaLambda0)
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363 | {
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364 | if(OmegaMatter0==0.) {
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365 | cout<<"GrowthFactor::GrowthFactor: Error bad OmegaMatter0 value : "<<OmegaMatter0<<endl;
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366 | throw ParmError("GrowthFactor::GrowthFactor: Error badOmegaMatter0 value");
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367 | }
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368 | }
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369 |
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370 | GrowthFactor::GrowthFactor(GrowthFactor& d1)
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371 | : O0_(d1.O0_) , Ol_(d1.Ol_)
|
---|
372 | {
|
---|
373 | }
|
---|
374 |
|
---|
375 | GrowthFactor::~GrowthFactor(void)
|
---|
376 | {
|
---|
377 | }
|
---|
378 |
|
---|
379 | double GrowthFactor::operator() (double z)
|
---|
380 | // see Formulae A4 + A5 + A6 page 614
|
---|
381 | {
|
---|
382 | z += 1.;
|
---|
383 | double z2 = z*z, z3 = z2*z;
|
---|
384 |
|
---|
385 | // Calcul de la normalisation (pour z=0 -> growth=1.)
|
---|
386 | double D1z0 = pow(O0_,4./7.) - Ol_ + (1.+O0_/2.)*(1.+Ol_/70.);
|
---|
387 | D1z0 = 2.5*O0_ / D1z0;
|
---|
388 |
|
---|
389 | // Calcul du growthfactor pour z
|
---|
390 | double Ok = 1. - O0_ - Ol_;
|
---|
391 | double den = Ol_ + Ok*z2 + O0_*z3;
|
---|
392 | double o0z = O0_ *z3 / den;
|
---|
393 | double olz = Ol_ / den;
|
---|
394 |
|
---|
395 | double D1z = pow(o0z,4./7.) - olz + (1.+o0z/2.)*(1.+olz/70.);
|
---|
396 | D1z = 2.5*o0z / z / D1z;
|
---|
397 |
|
---|
398 | return D1z / D1z0;
|
---|
399 | }
|
---|
400 |
|
---|
401 | double GrowthFactor::DsDz(double z,double dzinc)
|
---|
402 | // y-y0 = a*(x-x0)^2 + b*(x-x0)
|
---|
403 | // dy = a*dx^2 + b*dx avec dx = x-x0
|
---|
404 | // dy'(dx) = 2*a*dx + b -> pour x=x0 on a dy'(0) = b
|
---|
405 | {
|
---|
406 | if(z<0. || dzinc<=0.) {
|
---|
407 | cout<<"GrowthFactor::DsDz: z<0 or dzinc<=0. !"<<endl;
|
---|
408 | throw ParmError("GrowthFactor::DsDz: z<0 or dzinc<=0. !");
|
---|
409 | }
|
---|
410 |
|
---|
411 | double z1, z2;
|
---|
412 | if(z>dzinc/2.) {
|
---|
413 | // cas ou z est suffisamment loin de zero
|
---|
414 | // resolution avec 2 points encadrant x0=z
|
---|
415 | z1 = z - dzinc; if(z1<0.) z1 = 0.;
|
---|
416 | z2 = z + dzinc;
|
---|
417 | } else {
|
---|
418 | // cas ou z est proche de zero
|
---|
419 | // resolution avec 2 points au dessus, x0=z1
|
---|
420 | z1 = z + dzinc;
|
---|
421 | z2 = z + 2.*dzinc;
|
---|
422 | }
|
---|
423 |
|
---|
424 | double gz = (*this)(z);
|
---|
425 | double dgz1 = (*this)(z1) - gz;
|
---|
426 | double dgz2 = (*this)(z2) - gz;
|
---|
427 |
|
---|
428 | z1 -= z;
|
---|
429 | z2 -= z;
|
---|
430 | return (dgz2*z1*z1 - dgz1*z2*z2)/(z1*z2*(z1-z2));
|
---|
431 | }
|
---|
432 |
|
---|
433 | void GrowthFactor::SetParTo(double OmegaMatter0,double OmegaLambda0)
|
---|
434 | {
|
---|
435 | if(OmegaMatter0>0.) O0_ = OmegaMatter0;
|
---|
436 | Ol_ = OmegaLambda0;
|
---|
437 | }
|
---|
438 |
|
---|
439 | bool GrowthFactor::SetParTo(double OmegaMatter0)
|
---|
440 | // idem precedent sans changer OmegaLambda0
|
---|
441 | {
|
---|
442 | if(OmegaMatter0<=0.) return false;
|
---|
443 | O0_ = OmegaMatter0;
|
---|
444 | return true;
|
---|
445 | }
|
---|
446 |
|
---|
447 |
|
---|
448 | ///////////////////////////////////////////////////////////
|
---|
449 | //************** PkSpectrum0 et PkSpectrumZ *************//
|
---|
450 | ///////////////////////////////////////////////////////////
|
---|
451 |
|
---|
452 | PkSpectrum0::PkSpectrum0(InitialSpectrum& pkinf,TransfertEisenstein& tf)
|
---|
453 | : pkinf_(pkinf) , tf_(tf)
|
---|
454 | {
|
---|
455 | }
|
---|
456 |
|
---|
457 | PkSpectrum0::PkSpectrum0(PkSpectrum0& pk0)
|
---|
458 | : pkinf_(pk0.pkinf_) , tf_(pk0.tf_)
|
---|
459 | {
|
---|
460 | }
|
---|
461 |
|
---|
462 | PkSpectrum0::~PkSpectrum0(void)
|
---|
463 | {
|
---|
464 | }
|
---|
465 |
|
---|
466 | double PkSpectrum0::operator() (double k)
|
---|
467 | {
|
---|
468 | double tf = tf_(k);
|
---|
469 | double pkinf = pkinf_(k);
|
---|
470 | return pkinf *tf*tf;
|
---|
471 | }
|
---|
472 |
|
---|
473 | //------------------------------------
|
---|
474 | PkSpectrumZ::PkSpectrumZ(PkSpectrum0& pk0,GrowthFactor& d1,double zref)
|
---|
475 | : pk0_(pk0) , d1_(d1) , zref_(zref) , scale_(1.) , typspec_(PK)
|
---|
476 | {
|
---|
477 | }
|
---|
478 |
|
---|
479 | PkSpectrumZ::PkSpectrumZ(PkSpectrumZ& pkz)
|
---|
480 | : pk0_(pkz.pk0_) , d1_(pkz.d1_) , zref_(pkz.zref_) , scale_(pkz.scale_) , typspec_(PK)
|
---|
481 | {
|
---|
482 | }
|
---|
483 |
|
---|
484 | PkSpectrumZ::~PkSpectrumZ(void)
|
---|
485 | {
|
---|
486 | }
|
---|
487 |
|
---|
488 | void PkSpectrumZ::SetTypSpec(ReturnSpectrum typspec)
|
---|
489 | // typsec = PK : compute Pk(k)
|
---|
490 | // = DELTA : compute Delta^2(k) = k^3*Pk(k)/2Pi^2
|
---|
491 | {
|
---|
492 | typspec_ = typspec;
|
---|
493 | }
|
---|
494 |
|
---|
495 | double PkSpectrumZ::operator() (double k)
|
---|
496 | {
|
---|
497 | return (*this)(k,zref_);
|
---|
498 | }
|
---|
499 |
|
---|
500 | double PkSpectrumZ::operator() (double k,double z)
|
---|
501 | {
|
---|
502 | double d1 = d1_(z);
|
---|
503 |
|
---|
504 | double v = pk0_(k) * d1*d1;
|
---|
505 | if(typspec_==DELTA) v *= k*k*k/(2.*M_PI*M_PI);
|
---|
506 |
|
---|
507 | return scale_ * v;
|
---|
508 | }
|
---|
509 |
|
---|
510 |
|
---|
511 |
|
---|
512 | ///////////////////////////////////////////////////////////
|
---|
513 | //******************* VarianceSpectrum ******************//
|
---|
514 | ///////////////////////////////////////////////////////////
|
---|
515 |
|
---|
516 | VarianceSpectrum::VarianceSpectrum(GenericFunc& pk,double R,TypeFilter typfilter)
|
---|
517 | : pk_(pk)
|
---|
518 | {
|
---|
519 | SetRadius(R);
|
---|
520 | SetFilter(typfilter);
|
---|
521 | }
|
---|
522 |
|
---|
523 | VarianceSpectrum::VarianceSpectrum(VarianceSpectrum& vpk)
|
---|
524 | : pk_(vpk.pk_) , R_(vpk.R_)
|
---|
525 | {
|
---|
526 | SetFilter(vpk.typfilter_);
|
---|
527 | }
|
---|
528 |
|
---|
529 | VarianceSpectrum::~VarianceSpectrum(void)
|
---|
530 | {
|
---|
531 | }
|
---|
532 |
|
---|
533 | void VarianceSpectrum::SetRadius(double R)
|
---|
534 | // R = taille du filter top-hat ou gaussien
|
---|
535 | {
|
---|
536 | if(R<=0.) {
|
---|
537 | cout<<"VarianceSpectrum::SetRadius: Error R<=0"<<endl;
|
---|
538 | throw ParmError("VarianceSpectrum::SetRadius: Error R<=0");
|
---|
539 | }
|
---|
540 | R_ = R;
|
---|
541 | }
|
---|
542 |
|
---|
543 | //------------------------------------
|
---|
544 | void VarianceSpectrum::SetFilter(TypeFilter typfilter)
|
---|
545 | // typfilter = TOPHAT : spherical 3D top-hat
|
---|
546 | // = GAUSSIAN : spherical 3D gaussian
|
---|
547 | // = NOFILTER : no filter juste integrate spectrum)
|
---|
548 | // Remarque:
|
---|
549 | // la meilleure approximation du filtre top-hat (R) est un filtre gaussien avec (Rg=R/sqrt(5))
|
---|
550 | {
|
---|
551 | typfilter_ = typfilter;
|
---|
552 | }
|
---|
553 |
|
---|
554 | void VarianceSpectrum::SetInteg(double dperc,double dlogkinc,double dlogkmax,unsigned short glorder)
|
---|
555 | // ATTENTION: on n'integre pas f(k)*dk mais k*f(k)*d(log10(k))
|
---|
556 | // see argument details in function IntegrateFuncLog (geneutils.cc)
|
---|
557 | {
|
---|
558 | dperc_ = dperc; if(dperc_<=0.) dperc_ = 0.1;
|
---|
559 | dlogkinc_ = dlogkinc;
|
---|
560 | dlogkmax_ = dlogkmax;
|
---|
561 | glorder_ = glorder;
|
---|
562 | }
|
---|
563 |
|
---|
564 |
|
---|
565 | //------------------------------------
|
---|
566 | double VarianceSpectrum::Filter2(double x)
|
---|
567 | // ATTENTION: c'est le filtre au carre qui est renvoye
|
---|
568 | {
|
---|
569 | // Just integrate the spectrum without filtering
|
---|
570 | if(typfilter_ == NOFILTER) return 1.;
|
---|
571 |
|
---|
572 | double x2 = x*x;
|
---|
573 | // Filtre gaussien G(x) = exp(-x^2/2)
|
---|
574 | // remarque G(x)^2 = exp(-x^2)
|
---|
575 | // on prend le DL de G(x)^2 pour x->0 a l'ordre O(x^6)
|
---|
576 | // DL(x) = 1-x^2*(1-x^2/2)
|
---|
577 | // pour x<0.01 |DL(x)-G(X)^2|<2.0e-13
|
---|
578 | if(typfilter_ == GAUSSIAN)
|
---|
579 | {if(x<0.01) return 1.-x2*(1.-x2/2.); else return exp(-x2);}
|
---|
580 |
|
---|
581 | // Filtre top-hat T(x) = 3*(sin(x)-x*cos(x))/x^3
|
---|
582 | // --- Gestion de la pseudo-divergence pour x->0
|
---|
583 | // on prend le DL de T(x)^2 pour x->0 a l'ordre O(x^7)
|
---|
584 | // DL(x) = 1-x^2/5*(1-3*x^2/35*(1-4*x^2/81))
|
---|
585 | // pour x<0.1 |DL(x)-T(X)^2|<2.5e-13
|
---|
586 | double f2=0.;
|
---|
587 | if(x<0.1) {
|
---|
588 | f2 = 1.-x2/5.*(1.-3.*x2/35.*(1.-4.*x2/81.));
|
---|
589 | } else {
|
---|
590 | f2 = 3.*(sin(x)-x*cos(x))/(x2*x);
|
---|
591 | f2 *= f2;
|
---|
592 | }
|
---|
593 | return f2;
|
---|
594 |
|
---|
595 | }
|
---|
596 |
|
---|
597 | double VarianceSpectrum::Variance(double kmin,double kmax)
|
---|
598 | // Compute variance of spectrum pk_ by integration
|
---|
599 | // Input:
|
---|
600 | // kmin,kmax = bornes en k de l'integrale pour calculer la variance
|
---|
601 | // Return:
|
---|
602 | // valeur de la variance (sigma^2)
|
---|
603 | // Remarque:
|
---|
604 | // la variance renvoyee est la variance de la masse
|
---|
605 | {
|
---|
606 | if(kmin<=0 || kmax<=0. || kmin>=kmax) {
|
---|
607 | cout<<"VarianceSpectrum::Variance: Error kmin<=0 or kmax<=0 or kmin>=kmax"<<endl;
|
---|
608 | throw ParmError("VarianceSpectrum::Variance: Error kmin<=0 or kmax<=0 or kmin>=kmax");
|
---|
609 | }
|
---|
610 |
|
---|
611 | double lkmin = log10(kmin), lkmax = log10(kmax);
|
---|
612 |
|
---|
613 | double var = IntegrateFuncLog(*this,lkmin,lkmax,dperc_,dlogkinc_,dlogkmax_,glorder_);
|
---|
614 |
|
---|
615 | return var;
|
---|
616 | }
|
---|
617 |
|
---|
618 | //------------------------------------
|
---|
619 | double VarianceSpectrum::FindMaximum(double kmin,double kmax,double eps)
|
---|
620 | // Retourne le maximum de la fonction a integrer
|
---|
621 | // La recherche a lieu entre [kmin,kmax] par pas logarithmiques
|
---|
622 | // Input:
|
---|
623 | // kmin,kmax : intervalle de recherche
|
---|
624 | // eps : precision requise sur les valeurs
|
---|
625 | // Return:
|
---|
626 | // position (en k) du maximum
|
---|
627 | {
|
---|
628 | if(kmin<=0 || kmax<=0. || kmin>=kmax) {
|
---|
629 | cout<<"VarianceSpectrum::FindMaximum: Error kmin<=0 or kmax<=0 or kmin>=kmax || eps<=0"<<endl;
|
---|
630 | throw ParmError("VarianceSpectrum::FindMaximum: Error kmin<=0 or kmax<=0 or kmin>=kmax || eps<=0");
|
---|
631 | }
|
---|
632 |
|
---|
633 | int n = 10; // toujours >2
|
---|
634 | double lkmin = log10(kmin), lkmax = log10(kmax), dlk = (lkmax-lkmin)/n;
|
---|
635 |
|
---|
636 | double lkfind=lkmin, pkfind=-1.;
|
---|
637 | while(1) {
|
---|
638 | for(int i=0; i<=n; i++) {
|
---|
639 | double lk = lkmin + i*dlk;
|
---|
640 | double v = (*this)(pow(10.,lk));
|
---|
641 | if(v<pkfind) continue;
|
---|
642 | pkfind = v; lkfind = lk;
|
---|
643 | }
|
---|
644 | //cout<<"VarianceSpectrum::FindMaximum: lkfind="<<lkfind<<" pkfind="<<pkfind
|
---|
645 | // <<" lkmin,max="<<lkmin<<","<<lkmax<<" dlk="<<dlk<<endl;
|
---|
646 | // --- Convergence si l'encadrement de "kfind" est tel que "dk/kfind<eps"
|
---|
647 | // On a dk = 10^(lkfind+dlk) - 10^(lkfind-dlk) = kfind * (10^(dlk) - 10^(-dlk))
|
---|
648 | if( pow(10.,dlk)-pow(10.,-dlk) < eps ) break;
|
---|
649 | if(lkfind-dlk>lkmin) lkmin = lkfind-dlk;
|
---|
650 | if(lkfind+dlk<lkmax) lkmax = lkfind+dlk;
|
---|
651 | dlk = (lkmax-lkmin)/n;
|
---|
652 | }
|
---|
653 |
|
---|
654 | return pow(10.,lkfind);
|
---|
655 | }
|
---|
656 |
|
---|
657 | int VarianceSpectrum::FindLimits(double high,double &kmin,double &kmax,double eps)
|
---|
658 | // Retourne "[kmin,kmax]" tel que la fonction a integrer soit "f(k) <= high"
|
---|
659 | // La recherche a lieu entre [kmin,kmax] par pas logarithmiques
|
---|
660 | // Input:
|
---|
661 | // kmin,kmax : intervalle de recherche
|
---|
662 | // eps : precision requise sur les valeurs kmin et kmax
|
---|
663 | // Output:
|
---|
664 | // kmin,kmax telles que "f(k) <= high"
|
---|
665 | // Return:
|
---|
666 | // rc = 0 si OK
|
---|
667 | // rc |= 1 "f(kmin) >= high" (bit0 =1)
|
---|
668 | // rc |= 2 "f(kmax) >= high" (bit1 =1)
|
---|
669 | // rc |= 4 "f(k) < high pour tout k" (bit2 =1)
|
---|
670 | {
|
---|
671 | if(kmin<=0 || kmax<=0. || kmin>=kmax || eps<=0.) {
|
---|
672 | cout<<"VarianceSpectrum::FindLimits: Error kmin<=0 or kmax<=0 or kmin>=kmax or eps<=0"<<endl;
|
---|
673 | throw ParmError("VarianceSpectrum::FindLimits: Error kmin<=0 or kmax<=0 or kmin>=kmax || eps<=0");
|
---|
674 | }
|
---|
675 |
|
---|
676 | int n = 10; // toujours >2
|
---|
677 |
|
---|
678 | int rc = 0;
|
---|
679 | double lkmin,lkmax,dlk,lkfind;
|
---|
680 |
|
---|
681 | // --- Find kmin
|
---|
682 | lkmin=log10(kmin); lkmax=log10(kmax); dlk=(lkmax-lkmin)/n;
|
---|
683 | while(1) {
|
---|
684 | lkfind = lkmin;
|
---|
685 | for(int i=0;i<=n;i++) {
|
---|
686 | if( (*this)(pow(10,lkfind)) >= high ) break;
|
---|
687 | lkfind = lkmin + i*dlk;
|
---|
688 | }
|
---|
689 | //cout<<"VarianceSpectrum::FindLimits[kmin]: lkfind="<<lkfind
|
---|
690 | // <<" lkmin,max="<<lkmin<<","<<lkmax<<" dlk="<<dlk<<endl;
|
---|
691 | if(fabs(lkfind-lkmax)<dlk/2.) {rc |= 4; return rc;} // protect against f(k)<high for all k
|
---|
692 | if( pow(10.,dlk)-pow(10.,-dlk) < eps ) break;
|
---|
693 | if(lkfind-dlk>lkmin) lkmin = lkfind-dlk;
|
---|
694 | if(lkfind+dlk<lkmax) lkmax = lkfind+dlk;
|
---|
695 | dlk = (lkmax-lkmin)/n;
|
---|
696 | }
|
---|
697 | if(lkfind-lkmin<dlk/2.) rc |= 1; // f(kmin) >= high
|
---|
698 | else kmin = pow(10.,lkmin);
|
---|
699 | //cout<<"rc="<<rc<<" lkmin="<<lkmin<<" pk="<<(*this)(pow(10.,lkmin))<<endl;
|
---|
700 |
|
---|
701 | // --- Find kmax
|
---|
702 | lkmin=log10(kmin); lkmax=log10(kmax); dlk=(lkmax-lkmin)/n;
|
---|
703 | while(1) {
|
---|
704 | lkfind=lkmax;
|
---|
705 | for(int i=0;i<=n;i++) {
|
---|
706 | if( (*this)(pow(10,lkfind)) >= high ) break;
|
---|
707 | lkfind -= dlk;
|
---|
708 | lkfind = lkmax - i*dlk;
|
---|
709 | }
|
---|
710 | //cout<<"VarianceSpectrum::FindLimits[kmax]: lkfind="<<lkfind
|
---|
711 | // <<" lkmin,max="<<lkmin<<","<<lkmax<<" dlk="<<dlk<<endl;
|
---|
712 | if( pow(10.,dlk)-pow(10.,-dlk) < eps ) break;
|
---|
713 | if(lkfind-dlk>lkmin) lkmin = lkfind-dlk;
|
---|
714 | if(lkfind+dlk<lkmax) lkmax = lkfind+dlk;
|
---|
715 | dlk = (lkmax-lkmin)/n;
|
---|
716 | }
|
---|
717 | if(lkmax-lkfind<dlk/2.) rc |= 2; // f(kmax) >= high
|
---|
718 | else kmax = pow(10.,lkmax);
|
---|
719 | //cout<<"rc="<<rc<<" lkmax="<<lkmax<<" pk="<<(*this)(pow(10.,lkmax))<<endl;
|
---|
720 |
|
---|
721 | return rc;
|
---|
722 | }
|
---|
723 |
|
---|
724 | } // Fin namespace SOPHYA
|
---|