Ejemplo n.º 1
0
 def ionization(self, z, maglim=None):
     xH = cr.ionization_from_luminosity(
         z,
         self._iPhotFunc,
         rate_is_tfunc=self.extrap_var == 't',
         ratedensityfunc_args=[maglim],
         **self.cosmo)
     return xH
 def ionization(self, z, maglim=None):
     xH = cr.ionization_from_luminosity(z,
                                        self._iPhotFunc,
                                        rate_is_tfunc =
                                        self.extrap_var == 't',
                                        ratedensityfunc_args=[maglim],
                                        **self.cosmo)
     return xH
def test_plot_integrate_ionization_recomb_BH(xHe=0.0):

    cosmo = {'omega_b_0' : 0.0463,
             'omega_M_0' : 0.26,
             'omega_lambda_0' : 1.-0.26,
             'omega_k_0' : 0.0,
             'h' : 0.72,
             'n' : 0.95,
             'sigma_8' : 0.85,
             #'tau' : 0.09,
             #'tau_err' : 0.03,
             'omega_n_0' : 0.0,
             'N_nu': 0,
             'Y_He': 0.24,
             'baryonic_effects' : False,
             }

    nIonDot2 = lambda z1: cr.ionization_from_luminosity(z1,
                                                        nIonDotBHmodel2,
                                                        xHe=xHe,
                                                        **cosmo)
    
    zi = numpy.linspace(3.,15.,500.)
    w2i = nIonDot2(zi)
    ifunc2 = scipy.interpolate.interp1d(zi, w2i)
    ifunc2b = scipy.interpolate.interp1d(zi, w2i * 2.0)

    clump_fact_func = lambda z1: 2.0

    z = numpy.linspace(15,4,100.)
    fIon2, w2, t2 = cr.integrate_ion_recomb(z,
                                            ifunc2,
                                            clump_fact_func,
                                            xHe=xHe,
                                            **cosmo)
    fIon2b, w2b, t2b = cr.integrate_ion_recomb(z,
                                               ifunc2b,
                                               clump_fact_func,
                                               xHe=xHe,
                                               **cosmo)

    pylab.plot(z, fIon2, "--", label='Model 2')
    pylab.plot(z, fIon2b, "-", label='Model 2b')
    pylab.plot(z, w2, "0.75", label='M2 no rec.')

    pylab.xlim(4,15)
    pylab.ylim(0,1.0)
    pylab.legend(loc='best')
Ejemplo n.º 4
0
def test_plot_integrate_ionization_recomb_BH(xHe=0.0):

    cosmo = {'omega_b_0' : 0.0463,
             'omega_M_0' : 0.26,
             'omega_lambda_0' : 1.-0.26,
             'omega_k_0' : 0.0,
             'h' : 0.72,
             'n' : 0.95,
             'sigma_8' : 0.85,
             #'tau' : 0.09,
             #'tau_err' : 0.03,
             'omega_n_0' : 0.0,
             'N_nu': 0,
             'Y_He': 0.24,
             'baryonic_effects' : False,
             }

    nIonDot2 = lambda z1: cr.ionization_from_luminosity(z1,
                                                        nIonDotBHmodel2,
                                                        xHe=xHe,
                                                        **cosmo)
    
    zi = numpy.linspace(3.,15.,500.)
    w2i = nIonDot2(zi)
    ifunc2 = scipy.interpolate.interp1d(zi, w2i)
    ifunc2b = scipy.interpolate.interp1d(zi, w2i * 2.0)

    clump_fact_func = lambda z1: 2.0

    z = numpy.linspace(15,4,100.)
    fIon2, w2, t2 = cr.integrate_ion_recomb(z,
                                            ifunc2,
                                            clump_fact_func,
                                            xHe=xHe,
                                            **cosmo)
    fIon2b, w2b, t2b = cr.integrate_ion_recomb(z,
                                               ifunc2b,
                                               clump_fact_func,
                                               xHe=xHe,
                                               **cosmo)

    pylab.plot(z, fIon2, "--", label='Model 2')
    pylab.plot(z, fIon2b, "-", label='Model 2b')
    pylab.plot(z, w2, "0.75", label='M2 no rec.')

    pylab.xlim(4,15)
    pylab.ylim(0,1.0)
    pylab.legend(loc='best')