A cornerstone of modern cosmology is the cosmological principle, which asserts the large-scale homogeneity and isotropy of the Universe. Its robustness is supported by observations of the cosmic microwave background — the echo of the Big Bang — yet several anomalies, such as hemispherical power asymmetry, invite scrutiny of this paradigm. Type Ia supernovae, as standard candles, allow us to map the expansion of the Universe and test its isotropy: according to Hubble's law, discovered by Edwin Hubble, and the Friedmann equations, in an isotropic model the relationship between redshift and distance should be the same in all directions. Admixtures of dark matter and dark energy merely scale the expansion rate without breaking its symmetry. Detecting a preferred direction would therefore challenge the standard cosmological model.
The researchers analyzed the Pantheon+ compilation — a collection of 1701 supernovae from 20 different surveys — dividing it into six subsamples by origin (Low-z, PS1, SDSS, SNLS, DES, High-z). Two independent methods were applied. The first was dipole fitting: a correction with amplitude $A_D$ and a direction vector was introduced into the theoretical distance modulus, and Markov Chain Monte Carlo (MCMC) simulations were used to find best-fit parameters, including matter density $Ω_m$, the Hubble constant $H_0$, and the dipole direction. To break the degeneracy between $H_0$ and absolute luminosity, Cepheid calibrators from the SH0ES project, led by Adam Riess, were employed. The second method was hemisphere comparison: the sky was split by a random plane into two halves, $Ω_m$ was determined for each, and the anisotropy level AL was computed. This procedure was repeated for nearly 200,000 directions to find the maximum signal. Significance was assessed using isotropic simulations — 5000 mock catalogs that preserve the redshift distribution and covariance matrix of the real data but lack any intrinsic anisotropy.
Dipole analysis of the full sample found no significant signal: the amplitude is constrained to $A_D$ < 0.764×10⁻³ (95% CL). However, the Low-z subsample (z < 0.093) showed a non-zero amplitude of $A_D$ = 0.952+0.454−0.403×10⁻³ with a direction of (l, b) = (149.77°, −12.20°), corresponding to a significance of ~2.27σ. An even stronger signal emerged from the combination of four surveys (IDs 5, 56, 63, 150): $A_D$ = 1.730+0.554−0.715×10⁻³ with a direction of (153.05°, −1.25°) and significance 2.79σ. Excluding Low-z from the full sample drastically shifts the dipole direction by 138°. The hemisphere comparison method for the full sample yielded a maximum anisotropy level of AL_max = 0.289±0.052 in the direction (127.97°, 17.90°) with a significance of just 1.56σ. Notably, this direction nearly coincides with that of the SNLS subsample (difference 4.45°), while the Low-z and High-z subsamples instead weaken the signal along this axis. Combining all three (Low-z, SNLS, High-z) reproduces the full-sample direction to within 1.5°, highlighting the dominant role of SNLS.
The results indicate that the apparent cosmic anisotropy is most likely an artifact of uneven sky coverage by different surveys, rather than a property of the expansion of the Universe. This is reminiscent of the situation with galactic coordinates: if you look at the night sky from a city, the Milky Way seems asymmetric, but the cause is the distribution of streetlights, not the structure of the Galaxy. Here, too, local inhomogeneities in the sample, especially the contribution of SNLS, mimic a preferred direction. Thus, dark energy and dark matter remain within the isotropic paradigm, and the cosmological principle withstands the test, as anticipated by pioneers of supernova studies like Saul Perlmutter.
The next generation of telescopes — such as the Vera C. Rubin Observatory (LSST) — will provide far more uniform supernova surveys, allowing either confirmation or definitive exclusion of weak anisotropic signals on large scales. Moreover, improvements in statistical analysis methods and systematic error control will reduce the impact of data inhomogeneity.
These findings will influence the interpretation of data on the expansion of the Universe and constrain models that predict anisotropy in dark energy.
Detailed analysis of Pantheon+ subsamples, accounting for redshift effects and modeling of local structures (voids and superclusters), will help disentangle kinematic and gravitational contributions to anisotropy. Combining supernova data with the cosmic microwave background and the large-scale structure of galaxies will be key.
The article directly addresses the validity of the cosmological principle — one of the unresolved enigmas in physics. If the anisotropy proves real, it could point to new fields or modifications of Hubble's law on large scales, as well as a need to revise the Friedmann equations.
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What the work does
The study uses the Pantheon+ compilation (1701 Type Ia supernovae) to test the isotropy of cosmic expansion via dipole fitting and hemispherical comparison. The full sample shows no significant deviations, but a weak dipole signal (~2σ) is found in the Low-z subsample, which the authors attribute to uneven data coverage, particularly the dominance of SNLS.
Where its strength is
A key strength is the careful treatment of systematic effects related to sample inhomogeneity, and the demonstration of how these can mimic anisotropy. This underscores the importance of homogeneous surveys for testing the cosmological principle.
Where it could go next
Worth trying
Why this may matter
Such tests help distinguish genuine cosmological signals from data artifacts, which is critical for confidence in the standard model and for interpreting future surveys like LSST.
Nearby works in our archive
The closest work in the archive sits at 0.64 by meaning — the usual level for our corpus.
Pantheon+ can be compared to a patchwork quilt stitched from 20 different 'fabrics' — astronomical surveys. Each patch has its own texture and covers its own piece of the sky, and the brightest 'patches' (SNLS) set the tone for the whole pattern.