コード例 #1
0
ファイル: camb_test.py プロジェクト: beringueb/PhD
    def testBackground(self):
        pars = camb.CAMBparams()
        pars.set_cosmology(H0=68.5,
                           ombh2=0.022,
                           omch2=0.122,
                           YHe=0.2453,
                           mnu=0.07,
                           omk=0)

        zre = camb.get_zre_from_tau(pars, 0.06)
        age = camb.get_age(pars)
        self.assertAlmostEqual(zre, 8.39, 2)
        self.assertAlmostEqual(age, 13.65, 2)

        data = camb.CAMBdata()
        bao = data.get_BAO([0.57, 0.27], pars)

        data = camb.CAMBdata()
        data.calc_background(pars)
        DA = data.angular_diameter_distance(0.57)
        H = data.hubble_parameter(0.27)
        self.assertAlmostEqual(DA, bao[0][2], 3)
        self.assertAlmostEqual(H, bao[1][1], 3)

        age2 = data.physical_time(0)
        self.assertAlmostEqual(age, age2, 4)

        r = data.comoving_radial_distance(0.48)
        t0 = data.conformal_time(0)
        t1 = data.conformal_time(11.5)
        t2 = data.comoving_radial_distance(11.5)
        self.assertAlmostEqual(t2, t0 - t1, 2)
        self.assertAlmostEqual(t1, 4200.78, 2)

        chistar = data.conformal_time(0) - model.tau_maxvis.value
        chis = np.linspace(0, chistar, 197)
        zs = data.redshift_at_comoving_radial_distance(chis)
        chitest = data.comoving_radial_distance(zs)
        self.assertTrue(np.sum((chitest - chis)**2) < 1e-3)

        theta = data.cosmomc_theta()
        self.assertAlmostEqual(theta, 0.0104759965, 5)

        derived = data.get_derived_params()
        self.assertAlmostEqual(derived['age'], age, 2)
        self.assertAlmostEqual(derived['rdrag'], 146.976, 2)

        # Test BBN consistency, base_plikHM_TT_lowTEB best fit model
        pars.set_cosmology(H0=67.31,
                           ombh2=0.022242,
                           omch2=0.11977,
                           mnu=0.06,
                           omk=0)
        self.assertAlmostEqual(pars.YHe, 0.245336, 5)
        data.calc_background(pars)
        self.assertAlmostEqual(data.cosmomc_theta(), 0.01040862, 7)
        self.assertAlmostEqual(data.get_derived_params()['kd'], 0.14055, 4)

        # test massive sterile models as in Planck papers
        pars.set_cosmology(H0=68.0,
                           ombh2=0.022305,
                           omch2=0.11873,
                           mnu=0.06,
                           nnu=3.073,
                           omk=0,
                           meffsterile=0.013)
        self.assertAlmostEqual(pars.omegan * (pars.H0 / 100)**2, 0.00078, 5)
        self.assertAlmostEqual(pars.YHe, 0.24573, 5)

        data.calc_background(pars)
        self.assertAlmostEqual(data.get_derived_params()['age'], 13.773, 2)
        self.assertAlmostEqual(data.cosmomc_theta(), 0.0104103, 6)

        # test dark energy
        pars.set_cosmology(H0=68.26,
                           ombh2=0.022271,
                           omch2=0.11914,
                           mnu=0.06,
                           omk=0)
        pars.set_dark_energy(w=-1.0226, dark_energy_model='fluid')

        data.calc_background(pars)
        self.assertAlmostEqual(data.get_derived_params()['age'], 13.789, 2)
        scal = data.luminosity_distance(1.4)
        vec = data.luminosity_distance([1.2, 1.4, 0.1, 1.9])
        self.assertAlmostEqual(scal, vec[1], 5)
        pars.set_dark_energy()  # re-set defaults

        # test theta
        pars.set_cosmology(cosmomc_theta=0.0104085,
                           H0=None,
                           ombh2=0.022271,
                           omch2=0.11914,
                           mnu=0.06,
                           omk=0)
        self.assertAlmostEqual(pars.H0, 67.5512, 2)
コード例 #2
0
der.close()
der = open("outputs/derived_params.txt", "a")
timei_d = time()
z = np.arange(0.0, 2.251, 0.001)
a_camb = 1./(1.+z) #scale factor that goes into CAMB
for k in range(sampler.flatchain.shape[0]):
    pars = camb.CAMBparams()
    w_spline = CubicSpline(np.array([z1, z2, z3, z4, z5, z6, zlim]), np.array([sampler.flatchain[k][25], sampler.flatchain[k][26], sampler.flatchain[k][27], sampler.flatchain[k][28], sampler.flatchain[k][29], sampler.flatchain[k][30], wlim]))
    a = np.ctypeslib.ndpointer(dtype=np.double, ndim=1, flags='CONTIGUOUS') #pycamb stuff
    w = np.ctypeslib.ndpointer(dtype=np.double, ndim=1, flags='CONTIGUOUS') #pycamb stuff
    a, w = np.copy(a_camb[::-1]), np.copy(w_spline(z)[::-1]) #arrays must be in the reverse order, that's why the [::-1] part
    pars.set_dark_energy_w_a(a=a, w=w, dark_energy_model='ppf') #the size of the arrays must be smaller than 5000    
    pars.set_cosmology(H0=sampler.flatchain[k][4], cosmomc_theta=None, ombh2=sampler.flatchain[k][0], omch2=sampler.flatchain[k][1], omk=0, tau=sampler.flatchain[k][5], neutrino_hierarchy='degenerate', num_massive_neutrinos=1, mnu=0.06, nnu=3.046, YHe=None, meffsterile=0.0, standard_neutrino_neff=3.046, TCMB=2.7255, bbn_predictor=None)
    omL = pars.omegav
    omM = pars.omegab + pars.omegac
    age = camb.get_age(pars)
    chi = -2.0*sampler.flatlnprobability[k]
    der.write("  ".join(map(str, np.array([omL, omM, age, chi]))) + "\n")
timef_d = time()
mm, ss = divmod((timef_d - timei_d), 60)
hh, mm = divmod(mm, 60)
der.close()
log_term = open("outputs/log_terminal.txt", "a")
log_term.write('End of derived parameters saving. Time spent: ' + ("%d:%02d:%02d" % (hh, mm, ss)) + '\n')
log_term.close()


#Main MC exploration
for nstore in range(repetitions):
    sampler.reset()
    posf, probf, statef = sampler.run_mcmc(posf, steps_per_repetition)
コード例 #3
0
ファイル: camb_test.py プロジェクト: cmbant/CAMB
    def testBackground(self):
        pars = camb.CAMBparams()
        pars.set_cosmology(H0=68.5, ombh2=0.022, omch2=0.122, YHe=0.2453, mnu=0.07, omk=0)
        zre = camb.get_zre_from_tau(pars, 0.06)
        age = camb.get_age(pars)
        self.assertAlmostEqual(zre, 8.39, 2)
        self.assertAlmostEqual(age, 13.65, 2)

        data = camb.CAMBdata()
        bao = data.get_BAO([0.57, 0.27], pars)

        data = camb.CAMBdata()
        data.calc_background(pars)

        DA = data.angular_diameter_distance(0.57)
        H = data.hubble_parameter(0.27)
        self.assertAlmostEqual(DA, bao[0][2], 3)
        self.assertAlmostEqual(H, bao[1][1], 3)

        age2 = data.physical_time(0)
        self.assertAlmostEqual(age, age2, 4)

        data.comoving_radial_distance(0.48)
        t0 = data.conformal_time(0)
        self.assertAlmostEqual(t0, data.tau0)
        t1 = data.conformal_time(11.5)
        t2 = data.comoving_radial_distance(11.5)
        self.assertAlmostEqual(t2, t0 - t1, 2)
        self.assertAlmostEqual(t1, 4200.78, 2)
        chistar = data.conformal_time(0) - data.tau_maxvis
        chis = np.linspace(0, chistar, 197)
        zs = data.redshift_at_comoving_radial_distance(chis)
        chitest = data.comoving_radial_distance(zs)
        self.assertTrue(np.sum((chitest - chis) ** 2) < 1e-3)

        theta = data.cosmomc_theta()
        self.assertAlmostEqual(theta, 0.0104759965, 5)

        derived = data.get_derived_params()
        self.assertAlmostEqual(derived['age'], age, 2)
        self.assertAlmostEqual(derived['rdrag'], 146.976, 2)
        self.assertAlmostEqual(derived['rstar'], data.sound_horizon(derived['zstar']), 2)

        # Test BBN consistency, base_plikHM_TT_lowTEB best fit model
        pars.set_cosmology(H0=67.31, ombh2=0.022242, omch2=0.11977, mnu=0.06, omk=0)
        self.assertAlmostEqual(pars.YHe, 0.245347, 5)
        data.calc_background(pars)
        self.assertAlmostEqual(data.cosmomc_theta(), 0.010408566, 7)
        self.assertAlmostEqual(data.get_derived_params()['kd'], 0.14055, 4)

        pars.set_cosmology(H0=67.31, ombh2=0.022242, omch2=0.11977, mnu=0.06, omk=0,
                           bbn_predictor=bbn.BBN_table_interpolator())
        self.assertAlmostEqual(pars.YHe, 0.2453469, 5)
        self.assertAlmostEqual(pars.get_Y_p(), bbn.BBN_table_interpolator().Y_p(0.022242, 0), 5)

        # test massive sterile models as in Planck papers
        pars.set_cosmology(H0=68.0, ombh2=0.022305, omch2=0.11873, mnu=0.06, nnu=3.073, omk=0, meffsterile=0.013)
        self.assertAlmostEqual(pars.omnuh2, 0.00078, 5)
        self.assertAlmostEqual(pars.YHe, 0.24573, 5)
        self.assertAlmostEqual(pars.N_eff, 3.073, 4)

        data.calc_background(pars)
        self.assertAlmostEqual(data.get_derived_params()['age'], 13.773, 2)
        self.assertAlmostEqual(data.cosmomc_theta(), 0.0104103, 6)

        # test dark energy
        pars.set_cosmology(H0=68.26, ombh2=0.022271, omch2=0.11914, mnu=0.06, omk=0)
        pars.set_dark_energy(w=-1.0226, dark_energy_model='fluid')

        data.calc_background(pars)
        self.assertAlmostEqual(data.get_derived_params()['age'], 13.789, 2)
        scal = data.luminosity_distance(1.4)
        vec = data.luminosity_distance([1.2, 1.4, 0.1, 1.9])
        self.assertAlmostEqual(scal, vec[1], 5)

        pars.set_dark_energy()  # re-set defaults

        # test theta
        pars.set_cosmology(cosmomc_theta=0.0104085, ombh2=0.022271, omch2=0.11914, mnu=0.06, omk=0)
        self.assertAlmostEqual(pars.H0, 67.5512, 2)
        with self.assertRaises(CAMBParamRangeError):
            pars.set_cosmology(cosmomc_theta=0.0204085, ombh2=0.022271, omch2=0.11914, mnu=0.06, omk=0)
        pars = camb.set_params(cosmomc_theta=0.0104077, ombh2=0.022, omch2=0.122, w=-0.95)
        self.assertAlmostEqual(camb.get_background(pars, no_thermo=True).cosmomc_theta(), 0.0104077, 7)

        pars = camb.set_params(thetastar=0.010311, ombh2=0.022, omch2=0.122)
        self.assertAlmostEqual(camb.get_background(pars).get_derived_params()['thetastar'] / 100, 0.010311, 7)
        pars = camb.set_params(thetastar=0.010311, ombh2=0.022, omch2=0.122, omk=-0.05)
        self.assertAlmostEqual(camb.get_background(pars).get_derived_params()['thetastar'] / 100, 0.010311, 7)
        self.assertAlmostEqual(pars.H0, 49.7148, places=3)

        pars = camb.set_params(cosmomc_theta=0.0104077, ombh2=0.022, omch2=0.122, w=-0.95, wa=0,
                               dark_energy_model='ppf')
        self.assertAlmostEqual(camb.get_background(pars, no_thermo=True).cosmomc_theta(), 0.0104077, 7)

        pars = camb.set_params(cosmomc_theta=0.0104077, ombh2=0.022, omch2=0.122, w=-0.95,
                               dark_energy_model='DarkEnergyFluid', initial_power_model='InitialPowerLaw')
        self.assertAlmostEqual(camb.get_background(pars, no_thermo=True).cosmomc_theta(), 0.0104077, 7)

        with self.assertRaises(CAMBValueError):
            camb.set_params(dark_energy_model='InitialPowerLaw')
        data.calc_background(pars)
        h2 = (data.Params.H0 / 100) ** 2
        self.assertAlmostEqual(data.get_Omega('baryon'), data.Params.ombh2 / h2, 7)
        self.assertAlmostEqual(data.get_Omega('nu'), data.Params.omnuh2 / h2, 7)
        self.assertAlmostEqual(data.get_Omega('photon') + data.get_Omega('neutrino') + data.get_Omega('de') +
                               (pars.ombh2 + pars.omch2 + pars.omnuh2) / h2 + pars.omk, 1, 8)
        pars.set_cosmology(H0=67, mnu=1, neutrino_hierarchy='normal')
        data.calc_background(pars)
        h2 = (pars.H0 / 100) ** 2
        self.assertAlmostEqual(data.get_Omega('photon') + data.get_Omega('neutrino') + data.get_Omega('de') +
                               (pars.ombh2 + pars.omch2 + pars.omnuh2) / h2 + pars.omk, 1, 8)
        redshifts = np.array([0.005, 0.01, 0.3, 0.9342, 4, 27, 321.5, 932, 1049, 1092, 2580, 1e4, 2.1e7])
        self.assertTrue(
            np.allclose(data.redshift_at_conformal_time(data.conformal_time(redshifts)), redshifts, rtol=1e-7))
        pars.set_dark_energy(w=-1.8)
        data.calc_background(pars)
        self.assertTrue(
            np.allclose(data.redshift_at_conformal_time(data.conformal_time(redshifts)), redshifts, rtol=1e-7))
        pars.set_cosmology(cosmomc_theta=0.0104085)
        data.calc_background(pars)
        self.assertAlmostEqual(data.cosmomc_theta(), 0.0104085)
        derived = data.get_derived_params()
        pars.Accuracy.BackgroundTimeStepBoost = 2
        data.calc_background(pars)
        derived2 = data.get_derived_params()
        self.assertAlmostEqual(derived['thetastar'], derived2['thetastar'], places=5)
        pars.set_cosmology(H0=67.5, ombh2=0.022, omch2=0.122, mnu=0.11, neutrino_hierarchy='inverted')
        self.assertEqual(pars.num_nu_massive, 3)
        self.assertEqual(pars.nu_mass_numbers[1], 1)
        self.assertEqual(pars.nu_mass_eigenstates, 2)
        self.assertAlmostEqual(pars.nu_mass_fractions[0], 0.915197, places=4)
コード例 #4
0
    def testBackground(self):
        pars = camb.CAMBparams()
        pars.set_cosmology(H0=68.5, ombh2=0.022, omch2=0.122, YHe=0.2453, mnu=0.07, omk=0)
        zre = camb.get_zre_from_tau(pars, 0.06)
        age = camb.get_age(pars)
        self.assertAlmostEqual(zre, 8.39, 2)
        self.assertAlmostEqual(age, 13.65, 2)

        data = camb.CAMBdata()
        bao = data.get_BAO([0.57, 0.27], pars)

        data = camb.CAMBdata()
        data.calc_background(pars)

        DA = data.angular_diameter_distance(0.57)
        H = data.hubble_parameter(0.27)
        self.assertAlmostEqual(DA, bao[0][2], 3)
        self.assertAlmostEqual(H, bao[1][1], 3)

        age2 = data.physical_time(0)
        self.assertAlmostEqual(age, age2, 4)

        data.comoving_radial_distance(0.48)
        t0 = data.conformal_time(0)
        self.assertAlmostEqual(t0, data.tau0)
        t1 = data.conformal_time(11.5)
        t2 = data.comoving_radial_distance(11.5)
        self.assertAlmostEqual(t2, t0 - t1, 2)
        self.assertAlmostEqual(t1, 4200.78, 2)
        chistar = data.conformal_time(0) - data.tau_maxvis
        chis = np.linspace(0, chistar, 197)
        zs = data.redshift_at_comoving_radial_distance(chis)
        chitest = data.comoving_radial_distance(zs)
        self.assertTrue(np.sum((chitest - chis) ** 2) < 1e-3)

        theta = data.cosmomc_theta()
        self.assertAlmostEqual(theta, 0.0104759965, 5)

        derived = data.get_derived_params()
        self.assertAlmostEqual(derived['age'], age, 2)
        self.assertAlmostEqual(derived['rdrag'], 146.976, 2)
        self.assertAlmostEqual(derived['rstar'], data.sound_horizon(derived['zstar']), 2)

        # Test BBN consistency, base_plikHM_TT_lowTEB best fit model
        pars.set_cosmology(H0=67.31, ombh2=0.022242, omch2=0.11977, mnu=0.06, omk=0)
        self.assertAlmostEqual(pars.YHe, 0.245347, 5)
        data.calc_background(pars)
        self.assertAlmostEqual(data.cosmomc_theta(), 0.010408566, 7)
        self.assertAlmostEqual(data.get_derived_params()['kd'], 0.14055, 4)

        pars.set_cosmology(H0=67.31, ombh2=0.022242, omch2=0.11977, mnu=0.06, omk=0,
                           bbn_predictor=bbn.BBN_table_interpolator())
        self.assertAlmostEqual(pars.YHe, 0.2453469, 5)
        self.assertAlmostEqual(pars.get_Y_p(), bbn.BBN_table_interpolator().Y_p(0.022242, 0), 5)

        # test massive sterile models as in Planck papers
        pars.set_cosmology(H0=68.0, ombh2=0.022305, omch2=0.11873, mnu=0.06, nnu=3.073, omk=0, meffsterile=0.013)
        self.assertAlmostEqual(pars.omnuh2, 0.00078, 5)
        self.assertAlmostEqual(pars.YHe, 0.24573, 5)
        self.assertAlmostEqual(pars.N_eff, 3.073, 4)

        data.calc_background(pars)
        self.assertAlmostEqual(data.get_derived_params()['age'], 13.773, 2)
        self.assertAlmostEqual(data.cosmomc_theta(), 0.0104103, 6)

        # test dark energy
        pars.set_cosmology(H0=68.26, ombh2=0.022271, omch2=0.11914, mnu=0.06, omk=0)
        pars.set_dark_energy(w=-1.0226, dark_energy_model='fluid')

        data.calc_background(pars)
        self.assertAlmostEqual(data.get_derived_params()['age'], 13.789, 2)
        scal = data.luminosity_distance(1.4)
        vec = data.luminosity_distance([1.2, 1.4, 0.1, 1.9])
        self.assertAlmostEqual(scal, vec[1], 5)

        pars.set_dark_energy()  # re-set defaults

        # test theta
        pars.set_cosmology(cosmomc_theta=0.0104085, ombh2=0.022271, omch2=0.11914, mnu=0.06, omk=0)
        self.assertAlmostEqual(pars.H0, 67.5512, 2)
        with self.assertRaises(CAMBParamRangeError):
            pars.set_cosmology(cosmomc_theta=0.0204085, ombh2=0.022271, omch2=0.11914, mnu=0.06, omk=0)
        pars = camb.set_params(cosmomc_theta=0.0104077, ombh2=0.022, omch2=0.122, w=-0.95)
        self.assertAlmostEqual(camb.get_background(pars, no_thermo=True).cosmomc_theta(), 0.0104077, 7)

        pars = camb.set_params(thetastar=0.010311, ombh2=0.022, omch2=0.122)
        self.assertAlmostEqual(camb.get_background(pars).get_derived_params()['thetastar'] / 100, 0.010311, 7)
        pars = camb.set_params(thetastar=0.010311, ombh2=0.022, omch2=0.122, omk=-0.05)
        self.assertAlmostEqual(camb.get_background(pars).get_derived_params()['thetastar'] / 100, 0.010311, 7)
        self.assertAlmostEqual(pars.H0, 49.7148, places=3)

        pars = camb.set_params(cosmomc_theta=0.0104077, ombh2=0.022, omch2=0.122, w=-0.95, wa=0,
                               dark_energy_model='ppf')
        self.assertAlmostEqual(camb.get_background(pars, no_thermo=True).cosmomc_theta(), 0.0104077, 7)

        pars = camb.set_params(cosmomc_theta=0.0104077, ombh2=0.022, omch2=0.122, w=-0.95,
                               dark_energy_model='DarkEnergyFluid', initial_power_model='InitialPowerLaw')
        self.assertAlmostEqual(camb.get_background(pars, no_thermo=True).cosmomc_theta(), 0.0104077, 7)

        with self.assertRaises(CAMBValueError):
            camb.set_params(dark_energy_model='InitialPowerLaw')
        data.calc_background(pars)
        h2 = (data.Params.H0 / 100) ** 2
        self.assertAlmostEqual(data.get_Omega('baryon'), data.Params.ombh2 / h2, 7)
        self.assertAlmostEqual(data.get_Omega('nu'), data.Params.omnuh2 / h2, 7)
        self.assertAlmostEqual(data.get_Omega('photon') + data.get_Omega('neutrino') + data.get_Omega('de') +
                               (pars.ombh2 + pars.omch2 + pars.omnuh2) / h2 + pars.omk, 1, 8)
        pars.set_cosmology(H0=67, mnu=1, neutrino_hierarchy='normal')
        data.calc_background(pars)
        h2 = (pars.H0 / 100) ** 2
        self.assertAlmostEqual(data.get_Omega('photon') + data.get_Omega('neutrino') + data.get_Omega('de') +
                               (pars.ombh2 + pars.omch2 + pars.omnuh2) / h2 + pars.omk, 1, 8)
        redshifts = np.array([0.005, 0.01, 0.3, 0.9342, 4, 27, 321.5, 932, 1049, 1092, 2580, 1e4, 2.1e7])
        self.assertTrue(
            np.allclose(data.redshift_at_conformal_time(data.conformal_time(redshifts)), redshifts, rtol=1e-7))
        pars.set_dark_energy(w=-1.8)
        data.calc_background(pars)
        self.assertTrue(
            np.allclose(data.redshift_at_conformal_time(data.conformal_time(redshifts)), redshifts, rtol=1e-7))
        pars.set_cosmology(cosmomc_theta=0.0104085)
        data.calc_background(pars)
        self.assertAlmostEqual(data.cosmomc_theta(), 0.0104085)
        derived = data.get_derived_params()
        pars.Accuracy.BackgroundTimeStepBoost = 2
        data.calc_background(pars)
        derived2 = data.get_derived_params()
        self.assertAlmostEqual(derived['thetastar'], derived2['thetastar'], places=5)
        pars.set_cosmology(H0=67.5, ombh2=0.022, omch2=0.122, mnu=0.11, neutrino_hierarchy='inverted')
        self.assertEqual(pars.num_nu_massive, 3)
        self.assertEqual(pars.nu_mass_numbers[1], 1)
        self.assertEqual(pars.nu_mass_eigenstates, 2)
        self.assertAlmostEqual(pars.nu_mass_fractions[0], 0.915197, places=4)
コード例 #5
0
ファイル: camb_test.py プロジェクト: EFTCAMB/EFTCAMB
    def testBackground(self):
        pars = camb.CAMBparams()
        pars.set_cosmology(H0=68.5, ombh2=0.022, omch2=0.122, YHe=0.2453, mnu=0.07, omk=0)

        zre = camb.get_zre_from_tau(pars, 0.06)
        age = camb.get_age(pars)
        self.assertAlmostEqual(zre, 8.39, 2)
        self.assertAlmostEqual(age, 13.65, 2)

        data = camb.CAMBdata()
        bao = data.get_BAO([0.57, 0.27], pars)

        data = camb.CAMBdata()
        data.calc_background(pars)
        DA = data.angular_diameter_distance(0.57)
        H = data.hubble_parameter(0.27)
        self.assertAlmostEqual(DA, bao[0][2], 3)
        self.assertAlmostEqual(H, bao[1][1], 3)

        age2 = data.physical_time(0)
        self.assertAlmostEqual(age, age2, 4)

        r = data.comoving_radial_distance(0.48)
        t0 = data.conformal_time(0)
        t1 = data.conformal_time(11.5)
        t2 = data.comoving_radial_distance(11.5)
        self.assertAlmostEqual(t2, t0 - t1, 2)
        self.assertAlmostEqual(t1, 4200.78, 2)

        chistar = data.conformal_time(0) - model.tau_maxvis.value
        chis = np.linspace(0, chistar, 197)
        zs = data.redshift_at_comoving_radial_distance(chis)
        chitest = data.comoving_radial_distance(zs)
        self.assertTrue(np.sum((chitest - chis) ** 2) < 1e-3)

        theta = data.cosmomc_theta()
        self.assertAlmostEqual(theta, 0.0104759965, 5)

        derived = data.get_derived_params()
        self.assertAlmostEqual(derived['age'], age, 2)
        self.assertAlmostEqual(derived['rdrag'], 146.976, 2)

        # Test BBN consistency, base_plikHM_TT_lowTEB best fit model
        pars.set_cosmology(H0=67.31, ombh2=0.022242, omch2=0.11977, mnu=0.06, omk=0)
        self.assertAlmostEqual(pars.YHe, 0.245336, 5)
        data.calc_background(pars)
        self.assertAlmostEqual(data.cosmomc_theta(), 0.01040862, 7)
        self.assertAlmostEqual(data.get_derived_params()['kd'], 0.14055, 4)

        # test massive sterile models as in Planck papers
        pars.set_cosmology(H0=68.0, ombh2=0.022305, omch2=0.11873, mnu=0.06, nnu=3.073, omk=0, meffsterile=0.013)
        self.assertAlmostEqual(pars.omegan * (pars.H0 / 100) ** 2, 0.00078, 5)
        self.assertAlmostEqual(pars.YHe, 0.24573, 5)

        data.calc_background(pars)
        self.assertAlmostEqual(data.get_derived_params()['age'], 13.773, 2)
        self.assertAlmostEqual(data.cosmomc_theta(), 0.0104103, 6)

        # test dark energy
        pars.set_cosmology(H0=68.26, ombh2=0.022271, omch2=0.11914, mnu=0.06, omk=0)
        pars.set_dark_energy(w=-1.0226, dark_energy_model='fluid')

        data.calc_background(pars)
        self.assertAlmostEqual(data.get_derived_params()['age'], 13.789, 2)
        scal = data.luminosity_distance(1.4)
        vec = data.luminosity_distance([1.2, 1.4, 0.1, 1.9])
        self.assertAlmostEqual(scal, vec[1], 5)
        pars.set_dark_energy()  # re-set defaults

        # test theta
        pars.set_cosmology(cosmomc_theta=0.0104085, H0=None, ombh2=0.022271, omch2=0.11914, mnu=0.06, omk=0)
        self.assertAlmostEqual(pars.H0, 67.5512, 2)