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SNe Ia serve as ideal standard candles and are widely utilized to constrain the cosmological parameters, especially to investigate the anisotropy of the universe. Recently, Scolnic et al. [31] published the most up-to-date compilation of SNe Ia data, known as the Pantheon+ compilation, which is the updated version of the previous Pantheon compilation [34]. One major difference between Pantheon+ and Pantheon is that the former contains much more low-redshift SNe than the latter, thus allowing us to probe the low-redshift universe more thoroughly. The Pantheon+ compilation consists of 1701 light curves from 1550 unique SNe Ia, covering a redshift range of
$ 0.001<z<2.3 $ . The redshift distribution of the Pantheon+ dataset is illustrated in Fig. 1. This figure demonstrates that the majority of SNe are concentrated at a low redshift range ($ z<0.1 $ ), while at a high redshift range ($ z>0.8 $ ), the data points are very sparse. To provide a clearer view of this concentration, the inset of Fig. 1 specifically highlights the redshift distribution below 0.1. Additionally, in Fig. 2, we plot the sky positions of the Pantheon+ SNe in the galactic coordinates, which reveals an inhomogeneous distribution, with a large number of data points concentrated near the celestial equator (see the red-solid line in Fig. 2).Figure 1. (color online) Redshift distribution of the Pantheon+ SNe. Data points are very sparse at
$ z>0.8 $ . The inset is the redshift distribution of the low-redshift ($ z<0.1 $ ) SNe.Figure 2. (color online) Sky position of the Pantheon+ SNe in the galactic coordinates colored according to the redshift. The red-solid line is the celestial equator.
The observed distance modulus
$ \mu_{\rm obs} $ is derived from the light curve parameters using a modified version of the Tripp formula [35]:$ \begin{array}{*{20}{l}} \mu_{\rm obs}=m_B-M+\alpha x_1-\beta c_1-\delta_{\rm bias}+\delta_{\rm host}, \end{array} $
(1) where
$ m_B $ represents the apparent magnitude in the B-band, and M corresponds to the absolute magnitude. The parameter$ x_1 $ is associated with the stretch of the light curve width, and$ c_1 $ represents the color parameter influenced by the intrinsic color and dust effects. The nuisance parameters α and β account for the link between the stretch$ x_1 $ and color$ c_1 $ with the luminosity.$ \delta_{\rm bias} $ and$ \delta_{\rm host} $ represent correction terms, where$ \delta_{\rm bias} $ accounts for the selection biases from simulations,$ \delta_{\rm host} $ considers the contribution of the host galaxy mass of the SNe Ia. After calibration using the BEAMS with bias corrections (BBC) method [36], the Pantheon+ dataset provides the corrected magnitude$ m_{\rm obs} $ , along with the corresponding covariance matrix. The observed distance modulus is then expressed as$ \mu_{\rm obs}=m_{\rm obs}-M $ . The details of the Pantheon+ dataset can be found in Scolnic et al. [31].In a spatially flat universe, the dimensionless distance modulus at a given redshift z can be expressed as
$ \mu(z)=5\log_{10}\frac{d_L(z)}{\rm Mpc}+25, $
(2) where
$ d_L $ represents the luminosity distance and is measured in units of Mpc. In the framework of the standard ΛCDM model, the luminosity distance takes the following form:$ d_L(z)=(1+z)\frac{c}{H_0}\int^z_0\frac{{\rm d}z}{\sqrt{\Omega_{\rm M}(1+z)^3+\Omega_{\Lambda}}}, $
(3) where c denotes the speed of light,
${H_0}$ represents the Hubble constant, typically parameterized in terms of a dimensionless parameter$h\equiv H_0/ (100\; {\rm km/ {\rm s/Mpc}})$ ; and$ \Omega_{\rm M} $ and$ \Omega_{\Lambda}=1-\Omega_{\rm M} $ denote the dimensionless densities of matter and dark energy, respectively.The dipole fitting method, first introduced by Mariano et al. [7], is utilized to investigate the anisotropy of the universe. This method fits the observational data using a dipole model directly. According to the dipole fitting method, a dipole modulation is introduced to the theoretical distance modulus in the isotropic ΛCDM model, given by the following form:
$ \begin{array}{*{20}{l}} \mu_D(z)=\mu_{\rm iso}(z)\left[1+D({\hat{\boldsymbol{n}}} \cdot {\hat{\boldsymbol{p}}})\right]. \end{array} $
(4) Here,
$ \mu_{\rm iso}(z) $ represents the distance modulus in the isotropic ΛCDM model determined by Eq. (2), D is the amplitude of the dipole,$ {\hat{\boldsymbol{n}}} $ is the direction of the dipole, and$ {\hat{\boldsymbol{p}}} $ is the unit vector pointing toward the SNe Ia. In galactic coordinates, the two unit vectors$ {\hat{\boldsymbol{n}}} $ and$ {\hat{\boldsymbol{p}}} $ can be parameterized using the galactic longitude l and latitude b in the following manner:$ {\hat{\boldsymbol{n}}}=\cos(b_0)\cos(l_0){\hat{\boldsymbol{i}}}+\cos(b_0)\sin(l_0){\hat{\boldsymbol{j}}}+\sin(b_0){\hat{\boldsymbol{k}}}, $
(5) $ {\hat{\boldsymbol{p_i}}}=\cos(b_i)\cos(l_i){\hat{\boldsymbol{i}}}+\cos(b_i)\sin(l_i){\hat{\boldsymbol{j}}}+\sin(b_i){\hat{\boldsymbol{k}}}, $
(6) where
$ {\hat{\boldsymbol{i}}} $ ,$ {\hat{\boldsymbol{j}}} $ , and$ {\hat{\boldsymbol{k}}} $ represent the unit vectors along the three axes of the Cartesian coordinates, and ($ l_0 $ ,$ b_0 $ ) and ($ l_i $ ,$ b_i $ ) represent the direction of the dipole and direction of the i-th SN in the galactic coordinates, respectively. In the Pantheon+ dataset, the SNe positions are provided in the equatorial coordinates. In order to directly compare with other works, we transform the equatorial coordinates$ ({\rm RA, DEC}) $ to the galactic coordinates ($ l,b $ ) using the formulae given in Ref. [37].The free parameters in our analysis consist of the matter density
$ \Omega_{\rm m} $ , absolute magnitude M, dimensionless Hubble constant h, dipole amplitude D, and dipole direction$ (l_0,b_0) $ . Therein, the absolute magnitude M and dimensionless Hubble constant h cannot be simultaneously constrained using SNIa data alone due to their degeneracy. Fortunately, the absolute magnitude M can also be refined by establishing an absolute distance scale, employing primary distance anchors such as Cepheids. The Pantheon+ dataset has extended the lower redshift boundary of SNe Ia to 0.001, which encompasses primary distance indicators found in Cepheid host galaxies. The degeneracy between M and h is eliminated by combining the measurements from the SH0ES Cepheid and SNe data. As a result, M and h can be constrained simultaneously. Following the methodology outlined by Brout et al. [38], the best-fitting parameters are determined by maximizing the likelihood function, which is related to the$ \chi^2 $ by$ \begin{array}{*{20}{l}} -2\ln(\mathcal{L})=\chi^2=\Delta{\boldsymbol{\mu}}^{T}{\boldsymbol{C}}^{-1}\Delta{\boldsymbol{\mu}}, \end{array} $
(7) in which
$ {\boldsymbol{C}} $ represents the total covariance matrix, which combines the statistical and systematic covariance matrices.$ \Delta{\boldsymbol{\mu}} $ denotes the residual vector of the distance modulus, where the i-th element is defined as$ \Delta\mu_i= \left\{ \begin{array}{*{20}{l}} \mu_{{\rm{obs}},i}-\mu_{{\rm{ceph}},i},& i\in {\rm{Cepheid}} \ {\rm{hosts}},\\ \mu_{{\rm{obs}},i}-\mu_{D,i},& {\rm{otherwise}}. \end{array} \right. $
(8) Here,
$ \mu_{{{\rm{ceph}}},i} $ corresponds to the calibrated distance to the host galaxy determined from the Cepheid measurements, while$ \mu_{{{\rm{obs}}},i} $ and$ \mu_{D,i} $ are determined by Eq. (1) and Eq. (4), respectively. -
We employ the Markov Chain Monte Carlo (MCMC) method, specifically the affine-invariant MCMC ensemble sampler provided by the publicly available Python package
$\textsf{emcee}$ 1 [39], to perform the parameter fitting. The posterior probability density functions (PDFs) of the free parameters are calculated using this approach. For each parameter, we assume a flat prior distribution as follows:$ \Omega_{\rm M}\sim[0, 1] $ ,$ M\sim[-21.0,-18.0] $ ,$ h\sim[0.6,0.8] $ ,$ D\sim[0,0.01] $ ,$ l_0\sim[-180^{\circ},180^{\circ}] $ 2 , and$ b_0\sim[-90^{\circ},90^{\circ}] $ .First, we use the full Pantheon+ sample to constrain the free parameters of the dipole-modulated ΛCDM model. The full sample contains 1701 data points in the redshift range
$ z<2.3 $ , including 77 SNe in galaxies hosting Cepheids. The constraints on the parameters are summarized in the first row of Table 1. The left panel of Fig. 3 shows the corresponding two-dimensional confidence contours and one-dimensional posterior PDFs for the parameters. In the dipole-modulated ΛCDM model, the background parameters$ \Omega_{\rm M} $ , M, and h are tightly constrained as$ \Omega_{\rm M}=0.334^{+0.018}_{-0.018} $ ,$ M=-19.248_{-0.030}^{+0.029} $ , and$ h=0.735_{-0.010}^{+0.010} $ , which are consistent with those obtained from the isotropic flat ΛCDM model [38] within 1σ uncertainty. Regarding the dipole component, the anisotropic signal is weak in the full Pantheon+ sample. The 68% upper limit of the dipole amplitude is constrained to be$ D<0.3\times 10^{-3} $ , and the dipole direction points toward$ (l_0,b_0)=(326.3_{\ -49.5^{\circ}}^{\circ+82.4^{\circ}},-10.4_{\ -40.0^{\circ}}^{\circ+37.9^{\circ}}) $ . The small upper limit of the dipole amplitude and the large uncertainty on the dipole direction indicate that the full Pantheon+ dataset is well consistent with a large-scale isotropic universe.Sample N $ \Omega_m $ M h $ D/10^{-3} $ $ l_0[^{\circ}] $ $b_0/(^{\circ})$ $ z<2.3 $ 1701 $ 0.334_{-0.018}^{+0.018} $ $ -19.248_{-0.030}^{+0.029} $ $ 0.735_{-0.010}^{+0.010} $ $<0.3 $ $ 326.3_{-49.5}^{+82.4} $ $ -10.4_{-40.0}^{+ 37.9} $ $ z<0.7 $ 1626 $ 0.348_{-0.021}^{+0.022} $ $ -19.245_{-0.030}^{+0.030} $ $ 0.735_{-0.010}^{+0.010} $ $<0.4 $ $ 320.8_{-42.2}^{+64.5} $ $ -12.6_{-35.8}^{+ 29.8} $ $ z<0.5 $ 1492 $ 0.332_{-0.024}^{+0.025} $ $ -19.244_{-0.030}^{+0.029} $ $ 0.736_{-0.010}^{+0.010} $ $<0.5 $ $ 320.7_{-40.1}^{+67.3} $ $ -13.1_{-33.5}^{+ 29.4} $ $ z<0.4 $ 1392 $ 0.341_{-0.029}^{+0.030} $ $ -19.245_{-0.029}^{+0.030} $ $ 0.735_{-0.010}^{+0.010} $ $<0.4 $ $ 317.2_{-50.5}^{+80.2} $ $ -3.3_{-35.7}^{+ 43.5} $ $ z<0.3 $ 1207 $ 0.404_{-0.043}^{+0.045} $ $ -19.246_{-0.030}^{+0.029} $ $ 0.733_{-0.010}^{+0.010} $ $<0.7 $ $ 315.6_{-31.0}^{+46.3} $ $ 12.6_{-22.3}^{+ 39.3} $ $ z<0.2 $ 944 $ 0.446_{-0.073}^{+0.075} $ $ -19.246_{-0.030}^{+0.030} $ $ 0.732_{-0.010}^{+0.010} $ $ 0.7_{-0.4}^{+0.4} $ $ 323.7_{-24.9}^{+35.0} $ $ 13.2_{-19.2}^{+33.9} $ $ z<0.1 $ 741 $ 0.411_{-0.213}^{+0.235} $ $ -19.249_{-0.030}^{+0.030} $ $ 0.731_{-0.011}^{+0.011} $ $ 1.0_{-0.4}^{+0.4} $ $ 334.5_{-21.6}^{+25.7} $ $ 16.0_{-16.8}^{+27.1} $ $ z<0.07 $ 702 $ 0.551_{-0.280}^{+0.263} $ $ -19.250_{-0.030}^{+0.030} $ $ 0.729_{-0.011}^{+0.011} $ $ 0.8_{-0.4}^{+0.4} $ $ 330.9_{-29.1}^{+34.0} $ $ 26.0_{-22.5}^{+34.1} $ $ z<0.04 $ 593 $ 0.344_{-0.245}^{+0.349} $ $ -19.250_{-0.030}^{+0.029} $ $ 0.730_{-0.011}^{+0.011} $ $ 1.0_{-0.4}^{+0.4} $ $ 316.4_{-31.3}^{+34.9} $ $ 36.4_{-24.1}^{+31.9} $ $ z<0.03 $ 466 $ 0.635_{-0.366}^{+0.261} $ $ -19.250_{-0.030}^{+0.029} $ $ 0.733_{-0.011}^{+0.011} $ $ 1.5_{-0.6}^{+0.6} $ $ 322.7_{-21.3}^{+23.5} $ $ 16.9_{-17.4}^{+26.4} $ $ z<0.02 $ 272 $ 0.482_{-0.332}^{+0.346} $ $ -19.252_{-0.030}^{+0.029} $ $ 0.723_{-0.012}^{+0.012} $ $ 1.4_{-0.9}^{+0.9} $ $ 282.7_{-39.2}^{+56.6} $ $ 20.9_{-30.3}^{+38.6} $ Table 1. Best-fitting parameters of the dipole-modulated ΛCDM model. The uncertainties are given at the
$ 1\sigma $ confidence level. For the dipole amplitude, the$ 68% $ upper limit is reported when the posterior DPF has no evident peak. The second column lists the number of data points. The galactic longitude$ l_0 $ is converted into the range of$ [0^{\circ},360^{\circ}] $ .Figure 3. (color online) Posterior PDFs of parameters and two-dimensional confidence contours constrained from the full Pantheon+ sample (left panel) and the
$ z<0.1 $ subsample (right panel). The black dashed lines represent the median value and$ 1\sigma $ uncertainty, and the red dashed line is the$ 1\sigma $ upper limit.In addition to investigating the dipole using the full Pantheon+ dataset, we explore the possible redshift-dependence of the dipole by dividing the dataset into several subsamples. These subsamples are obtained by excluding supernovae with redshift higher than a certain cutoff value
$ z_{\rm c} $ . In other words, a subsample consists of the supernovae with redshift$ z<z_c $ . The cutoff redshift$ z_c $ is chosen from 0.1 to the maximum redshift with an equal step size$ \Delta z=0.1 $ . Since the number of data points in some redshift bins are very sparse, as is seen from Fig. 1, we only consider the subsamples with number differences larger than 100. We finally found six subsamples, with$ z_c=0.1 $ , 0.2, 0.3, 0.4, 0.5, 0.7. The number of data points in each subsample is listed in the second column of Table 1. Notably, all supernovae in galaxies hosting Cepheids are included in each subsample, even if their redshift exceeds the cutoff value. This is because these supernovae are used to determine the absolute magnitude, M, and eliminate the degeneracy between M and h.We constrain the parameters of the dipole-modulated ΛCDM model with each subsample using the same method mentioned above, and the results are summarized in Table 1. Similar to that inferred from the full Pantheon+ sample, it is found that there is no strong evidence for the presence of dipole anisotropy in the subsamples with a cutoff redshift
$ z_{\rm c} $ higher than 0.2. However, the dipole signal emerges in the subsamples with$ z_{\rm c}\leq0.2 $ . In the subsample with$ z<0.2 $ , the dipole amplitude is constrained as$ D=0.7^{+0.4}_{-0.4}\times 10^{-3} $ , pointing toward$ (l_0,b_0)= (323.7_{\ -24.9^{\circ}}^{\circ+35.0^{\circ}},13.2_{\ -19.2^{\circ}}^{\circ+33.9^{\circ}}) $ , which deviates from an isotropic universe at$ >1\sigma $ confidence level. In contrast, in the subsample with$ z<0.1 $ , the dipole signal emerges at the$ >2\sigma $ confidence level, with a dipole amplitude$ D=1.0_{-0.4}^{+0.4}\times 10^{-3} $ , pointing toward$(l_0,b_0)= $ $(334.5_{\ -21.6^{\circ}}^{\circ+25.7^{\circ}}, 16.0_{\ -16.8^{\circ}}^{\circ+27.1^{\circ}})$ . The right panel of Fig. 3 shows the corresponding two-dimensional confidence contours and one-dimensional posterior PDFs for the parameters with this subsample. To facilitate comparison, we also plot the posterior PDFs of the parameters constrained from different subsamples in Fig. 4. As can be seen, the significance of the dipole signal progressively increases with the decrease in$ z_c $ , while the dipole direction is relatively stable.Figure 4. (color online) Posterior PDFs of parameters constrained from different subsamples with
$ z_c\geq 0.1 $ .We note that more than one-third of data points have a redshift below
$ 0.1 $ ( see Fig. 1). In light of the clear dipole signal in the low-redshift range, we perform a thorough examination of the dipole-modulated ΛCDM model with the low-redshift data points by dividing it into several redshift bins. To achieve this, we further divide the$ z<0.1 $ data points into several subsamples using a similar method as before but with a smaller redshift interval of 0.01. We also only consider the subsamples with number differences larger than 100. We finally find four subsamples:$ z<0.02 $ ,$ z<0.03 $ ,$ z<0.04 $ , and$ z<0.07 $ . The constraining results from these subsamples are summarized in the last four columns of Table 1. Because the luminosity distance (see Eq. (3)) is insensitive to the matter density parameter$ \Omega_{\rm M} $ at the low-redshift region, this parameter could not be tightly constrained. The constraints on the other parameters remain consistent across all the subsamples. Especially, the parameters M and h are almost independent of the subsamples. This indicates that the dipole-modulated ΛCDM model provides stable parameter estimation in the low-redshift range. The posterior PDFs of the parameters, constrained from different low-redshift subsamples, are displayed in Fig. 5. These plots further support the existence of an anisotropic signal at the low-redshift region. Notably, the dipole parameters are stable, remaining nearly independent of the specific value of the cutoff redshift$ z_{\rm c} $ , although the uncertainty is large for the lowest-redshift subsample ($ z<0.02 $ ).Figure 5. (color online) Posterior PDFs of parameters constrained from different subsamples with
$ z_c\leq 0.1 $ .Figure 6 shows the dipole directions constrained from the low-redshift subsamples. In this figure, the contours represent the 1σ uncertainty regions of the dipole directions. For comparison, the CMB dipole direction pointing toward
$ (l,b)=(264^{\circ},48^{\circ}) $ [12] is also shown using a red star. From this figure, we can clearly see that the dipole directions obtained from different subsamples are consistent. Notably, the dipole directions of all low-redshift subsamples, except for the lowest-redshift subsample ($ z<0.02 $ ), deviate from the CMB dipole at more than the$ 1\sigma $ confidence level. The consistency between the dipole directions of the$ z<0.02 $ subsample and the CMB is mainly due to the large uncertainty of the former. This implies that the anisotropic signal underlying the low-redshift Pantheon data could not be purely explained by the peculiar motion of the local universe.
Consistency of Pantheon+ supernovae with a large-scale isotropic universe
- Received Date: 2023-07-25
- Available Online: 2023-12-15
Abstract: We investigate the possible anisotropy of the universe using data on the most up-to-date type Ia supernovae, i.e., the Pantheon+ compilation. We fit the full Pantheon+ data with the dipole-modulated ΛCDM model and find that the data are well consistent with a null dipole. We further divide the full sample into several subsamples with different high-redshift cutoffs