Ejemplo n.º 1
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)

        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)
Ejemplo n.º 2
0
    def testAssigments(self):
        ini = os.path.join(os.path.dirname(__file__), '..', 'inifiles', 'planck_2018.ini')
        if os.path.exists(ini):
            pars = camb.read_ini(ini)
            self.assertTrue(np.abs(camb.get_background(pars).cosmomc_theta() * 100 / 1.040909 - 1) < 2e-5)
        pars = camb.CAMBparams()
        pars.set_cosmology(H0=68.5, ombh2=0.022, mnu=0, omch2=0.1)
        self.assertAlmostEqual(pars.omegam, (0.022 + 0.1) / 0.685 ** 2)
        with self.assertRaises(AttributeError):
            # noinspection PyPropertyAccess
            pars.omegam = 1
        pars.InitPower.set_params(ns=0.01)
        data = camb.CAMBdata()
        data.Params = pars
        self.assertEqual(data.Params.InitPower.ns, pars.InitPower.ns)
        d = dark_energy.DarkEnergyFluid(w=-0.95)
        pars.DarkEnergy = d
        self.assertEqual(pars.DarkEnergy.w, -0.95)
        pars.DarkEnergy = dark_energy.AxionEffectiveFluid(w_n=0.4)
        data.Params = pars
        self.assertEqual(pars.DarkEnergy.w_n, 0.4)
        pars.z_outputs = [0.1, 0.4]
        self.assertEqual(pars.z_outputs[1], 0.4)
        pars.z_outputs[0] = 0.3
        self.assertEqual(pars.z_outputs[0], 0.3)
        pars.z_outputs = pars.z_outputs
        pars.z_outputs = []
        pars.z_outputs = None
        self.assertFalse(len(pars.z_outputs))
        with self.assertRaises(TypeError):
            pars.DarkEnergy = initialpower.InitialPowerLaw()
        pars.NonLinear = model.NonLinear_both
        printstr = str(pars)
        self.assertTrue('Want_CMB_lensing = True' in printstr and
                        "NonLinear = NonLinear_both" in printstr)
        pars.NonLinear = model.NonLinear_lens
        self.assertTrue(pars.NonLinear == model.NonLinear_lens)
        with self.assertRaises(ValueError):
            pars.NonLinear = 4
        pars.nu_mass_degeneracies = np.zeros(3)
        self.assertTrue(len(pars.nu_mass_degeneracies) == 3)
        pars.nu_mass_degeneracies = [1, 2, 3]
        self.assertTrue(pars.nu_mass_degeneracies[1] == 2)
        pars.nu_mass_degeneracies[1] = 5
        self.assertTrue(pars.nu_mass_degeneracies[1] == 5)
        with self.assertRaises(CAMBParamRangeError):
            pars.nu_mass_degeneracies = np.zeros(7)
        pars.nu_mass_eigenstates = 0
        self.assertFalse(len((pars.nu_mass_degeneracies[:1])))
        pars = camb.set_params(**{'InitPower.ns': 1.2, 'WantTransfer': True})
        self.assertEqual(pars.InitPower.ns, 1.2)
        self.assertTrue(pars.WantTransfer)
        pars.DarkEnergy = None

        from camb.sources import GaussianSourceWindow
        pars = camb.CAMBparams()
        pars.SourceWindows = [GaussianSourceWindow(), GaussianSourceWindow(redshift=1)]
        self.assertEqual(pars.SourceWindows[1].redshift, 1)
        pars.SourceWindows[0].redshift = 2
        self.assertEqual(pars.SourceWindows[0].redshift, 2)
        self.assertTrue(len(pars.SourceWindows) == 2)
        pars.SourceWindows[0] = GaussianSourceWindow(redshift=3)
        self.assertEqual(pars.SourceWindows[0].redshift, 3)
        self.assertTrue('redshift = 3.0' in str(pars))
        pars.SourceWindows = pars.SourceWindows[0:1]
        self.assertTrue(len(pars.SourceWindows) == 1)
        pars.SourceWindows = []
        self.assertTrue(len(pars.SourceWindows) == 0)
Ejemplo n.º 3
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)
Ejemplo n.º 4
0
    def testAssigments(self):
        ini = os.path.join(os.path.dirname(__file__), '..', 'inifiles',
                           'planck_2018.ini')
        if os.path.exists(ini):
            pars = camb.read_ini(ini)
            self.assertTrue(
                np.abs(
                    camb.get_background(pars).cosmomc_theta() * 100 /
                    1.040909 - 1) < 2e-5)
        pars = camb.CAMBparams()
        pars.set_cosmology(H0=68.5, ombh2=0.022, mnu=0, omch2=0.1)
        self.assertAlmostEqual(pars.omegam, (0.022 + 0.1) / 0.685**2)
        with self.assertRaises(AttributeError):
            # noinspection PyPropertyAccess
            pars.omegam = 1
        pars.InitPower.set_params(ns=0.01)
        data = camb.CAMBdata()
        data.Params = pars
        self.assertEqual(data.Params.InitPower.ns, pars.InitPower.ns)
        d = dark_energy.DarkEnergyFluid(w=-0.95)
        pars.DarkEnergy = d
        self.assertEqual(pars.DarkEnergy.w, -0.95)
        pars.DarkEnergy = dark_energy.AxionEffectiveFluid(w_n=0.4)
        data.Params = pars
        self.assertEqual(pars.DarkEnergy.w_n, 0.4)
        pars.z_outputs = [0.1, 0.4]
        self.assertEqual(pars.z_outputs[1], 0.4)
        pars.z_outputs[0] = 0.3
        self.assertEqual(pars.z_outputs[0], 0.3)
        pars.z_outputs = pars.z_outputs
        pars.z_outputs = []
        pars.z_outputs = None
        # noinspection PyTypeChecker
        self.assertFalse(len(pars.z_outputs))
        with self.assertRaises(TypeError):
            pars.DarkEnergy = initialpower.InitialPowerLaw()
        pars.NonLinear = model.NonLinear_both
        printstr = str(pars)
        self.assertTrue('Want_CMB_lensing = True' in printstr
                        and "NonLinear = NonLinear_both" in printstr)
        pars.NonLinear = model.NonLinear_lens
        self.assertTrue(pars.NonLinear == model.NonLinear_lens)
        with self.assertRaises(ValueError):
            pars.NonLinear = 4
        pars.nu_mass_degeneracies = np.zeros(3)
        self.assertTrue(len(pars.nu_mass_degeneracies) == 3)
        pars.nu_mass_degeneracies = [1, 2, 3]
        self.assertTrue(pars.nu_mass_degeneracies[1] == 2)
        pars.nu_mass_degeneracies[1] = 5
        self.assertTrue(pars.nu_mass_degeneracies[1] == 5)
        with self.assertRaises(CAMBParamRangeError):
            pars.nu_mass_degeneracies = np.zeros(7)
        pars.nu_mass_eigenstates = 0
        self.assertFalse(len((pars.nu_mass_degeneracies[:1])))
        pars = camb.set_params(**{'InitPower.ns': 1.2, 'WantTransfer': True})
        self.assertEqual(pars.InitPower.ns, 1.2)
        self.assertTrue(pars.WantTransfer)
        pars.DarkEnergy = None
        pars = camb.set_params(**{
            'H0': 67,
            'ombh2': 0.002,
            'r': 0.1,
            'Accuracy.AccurateBB': True
        })
        self.assertEqual(pars.Accuracy.AccurateBB, True)

        from camb.sources import GaussianSourceWindow
        pars = camb.CAMBparams()
        pars.SourceWindows = [
            GaussianSourceWindow(),
            GaussianSourceWindow(redshift=1)
        ]
        self.assertEqual(pars.SourceWindows[1].redshift, 1)
        pars.SourceWindows[0].redshift = 2
        self.assertEqual(pars.SourceWindows[0].redshift, 2)
        self.assertTrue(len(pars.SourceWindows) == 2)
        pars.SourceWindows[0] = GaussianSourceWindow(redshift=3)
        self.assertEqual(pars.SourceWindows[0].redshift, 3)
        self.assertTrue('redshift = 3.0' in str(pars))
        pars.SourceWindows = pars.SourceWindows[0:1]
        self.assertTrue(len(pars.SourceWindows) == 1)
        pars.SourceWindows = []
        self.assertTrue(len(pars.SourceWindows) == 0)
        params = camb.get_valid_numerical_params()
        self.assertEqual(
            params, {
                'ombh2', 'deltazrei', 'omnuh2', 'tau', 'omk', 'zrei',
                'thetastar', 'nrunrun', 'meffsterile', 'nnu', 'ntrun',
                'HMCode_A_baryon', 'HMCode_eta_baryon', 'HMCode_logT_AGN',
                'cosmomc_theta', 'YHe', 'wa', 'cs2', 'H0', 'mnu', 'Alens',
                'TCMB', 'ns', 'nrun', 'As', 'nt', 'r', 'w', 'omch2'
            })
        params2 = camb.get_valid_numerical_params(
            dark_energy_model='AxionEffectiveFluid')
        self.assertEqual(params2.difference(params),
                         {'fde_zc', 'w_n', 'zc', 'theta_i'})