Table of Contents
Fetching ...

Bimetric gravity improves the fit to DESI BAO and eases the Hubble tension

Marcus Högås, Edvard Mörtsell

TL;DR

This study tests dynamical dark energy as a solution to the Hubble tension by comparing a phenomenological $w_0 w_a$CDM model with a fundamental bimetric gravity framework using DESI DR2 BAO, Planck 2018 + ACT CMB data, and multiple SN Ia compilations. The CPL approach provides a modest fit improvement over ΛCDM but aggravates the $H_0$ discrepancy, while bimetric gravity offers a small gain in fit quality and raises $H_0$ to about $69.0 m \,km\,s^{-1}\,Mpc^{-1}$, reducing the tension to roughly $3.7\sigma$. Including locally calibrated SNe Ia strengthens the case for bimetric gravity to around $2\sigma$ over ΛCDM, comparable to the CPL model when the local calibration is accounted for. Overall, the results favor a theoretically well-motivated dynamical dark energy scenario (bimetric gravity) with distinct predictions (e.g., gravitational-wave signatures) that are testable with future observations, though the evidence remains non-definitive.

Abstract

We investigate whether the latest combination of DESI DR2 baryon acoustic oscillation (BAO) measurements, cosmic microwave background (CMB) data (Planck 2018 + ACT), and Type Ia supernovae (SNe Ia) compilations (Pantheon+, Union3, and DES Y5) favor a dynamical dark energy component, and explore if such a scenario can simultaneously help resolve the Hubble tension. We contrast two frameworks: the widely used phenomenological $w_0 w_a$CDM model, and bimetric gravity, a fundamental modification of general relativity that naturally gives rise to phantom dark energy. The $w_0 w_a$CDM model is moderately preferred over $Λ$CDM, at the $2$-$4 \, σ$ level, when fitting DESI DR2 + CMB + SNe Ia, but it exacerbates the Hubble tension. By comparison, bimetric gravity provides a modest improvement in fit quality, at the $1 \, σ$ level, but, by inferring $H_0 = 69.0 \pm 0.4 \, \mathrm{km/s/Mpc}$, it partially eases the Hubble tension, from a $5 \,σ$ discrepancy to a $3.7 \, σ$ tension. Including locally calibrated SNe Ia brings the overall preference for the bimetric model over $Λ$CDM to the $2 \, σ$ level, comparable to that of the $w_0 w_a$CDM model when including the local SN Ia calibration.

Bimetric gravity improves the fit to DESI BAO and eases the Hubble tension

TL;DR

This study tests dynamical dark energy as a solution to the Hubble tension by comparing a phenomenological CDM model with a fundamental bimetric gravity framework using DESI DR2 BAO, Planck 2018 + ACT CMB data, and multiple SN Ia compilations. The CPL approach provides a modest fit improvement over ΛCDM but aggravates the discrepancy, while bimetric gravity offers a small gain in fit quality and raises to about , reducing the tension to roughly . Including locally calibrated SNe Ia strengthens the case for bimetric gravity to around over ΛCDM, comparable to the CPL model when the local calibration is accounted for. Overall, the results favor a theoretically well-motivated dynamical dark energy scenario (bimetric gravity) with distinct predictions (e.g., gravitational-wave signatures) that are testable with future observations, though the evidence remains non-definitive.

Abstract

We investigate whether the latest combination of DESI DR2 baryon acoustic oscillation (BAO) measurements, cosmic microwave background (CMB) data (Planck 2018 + ACT), and Type Ia supernovae (SNe Ia) compilations (Pantheon+, Union3, and DES Y5) favor a dynamical dark energy component, and explore if such a scenario can simultaneously help resolve the Hubble tension. We contrast two frameworks: the widely used phenomenological CDM model, and bimetric gravity, a fundamental modification of general relativity that naturally gives rise to phantom dark energy. The CDM model is moderately preferred over CDM, at the - level, when fitting DESI DR2 + CMB + SNe Ia, but it exacerbates the Hubble tension. By comparison, bimetric gravity provides a modest improvement in fit quality, at the level, but, by inferring , it partially eases the Hubble tension, from a discrepancy to a tension. Including locally calibrated SNe Ia brings the overall preference for the bimetric model over CDM to the level, comparable to that of the CDM model when including the local SN Ia calibration.

Paper Structure

This paper contains 8 sections, 23 equations, 5 figures, 1 table.

Figures (5)

  • Figure 1: Redshift evolution of the dark energy density for three different values of the bimetric mass parameter $m_\mathrm{FP}$. For reference, $H_0 \sim 10^{-33} \, \mathrm{eV}$. While the detailed evolution of $\Omega_\mathrm{DE}$ can vary considerably depending on the theory parameters, it always follows the same qualitative pattern: beginning as a (possibly negative) cosmological constant in the early universe, here around $-4$, then transitioning to a greater late-time value $\Omega_\Lambda$. A larger $m_\mathrm{FP}$ corresponds to an earlier transition. For comparison, the evolution of a $w_0 w_a$CDM model with $w_0 = -0.8$ and $w_a = -0.9$ is also shown, highlighting differences in behavior between the bimetric and $w_0 w_a$CDM models.
  • Figure 2: Results for a general bimetric model. Marginalized posterior constraints on $H_0$ and $\theta$ from BAO (DESI DR2), CMB (Planck 2018 + ACT), and three different SNe Ia compilations. Contours show the $68 \, \%$ and $95 \, \%$ credence regions. In the limit $\theta \to 0$, the standard $\Lambda$CDM model is recovered. In contrast to the $w_0 w_a$CDM model, the results show strong consistency across the three SNe Ia compilations. The inferred Hubble constant is significantly higher than for the $w_0 w_a$CDM and $\Lambda$CDM models, thereby reducing the Hubble tension from the $5 \, \sigma$ level to $3.7 \, \sigma$.
  • Figure 3: Results for a general bimetric model. Marginalized posterior constraints on $\theta$ and $m_\mathrm{FP}$ from BAO (DESI DR2), CMB (Planck 2019 + ACT), and three different SNe Ia compilations. Contours show the $68 \, \%$ and $95 \, \%$ credence regions. While the mixing angle $\theta$ is constrained, the mass scale $m_\mathrm{FP}$ only exhibits a lower bound $m_\mathrm{FP} > 3.0 \times 10^{-32} \, \mathrm{eV}$ at $68 \, \%$ credence. For reference, $H_0 \sim 10^{-33} \, \mathrm{eV}$.
  • Figure 4: Comparing data to models shown in residual form relative to a fiducial $\Lambda$CDM model, following the style of Fig. 13 of Ref. DESI:2025zgx. The fiducial $\Lambda$CDM model is the CMB prediction for the distance ratios. The BAO (DESI DR2) data points are shown with error bars. Here, $D_M$ denotes the angular diameter distance, $D_H$ the Hubble distance, and $r_d$ the sound horizon at the baryon drag epoch. The best-fit $w_0 w_a$CDM and bimetric models are shown as dashed lines. The primary improvement in the quality of fit of the $w_0 w_a$CDM model compared with the bimetric model arises from the low-redshift Hubble distance ratios at $z_\mathrm{eff} = 0.51$ and $z_\mathrm{eff} = 0.71$ (right panel). Conversely since the Hubble distance is inversely proportional to the Hubble parameter, $D_H(z) = c / H(z)$, the bimetric model predicts a higher value for $H_0$ compared with the $w_0 w_a$CDM model, thus reducing the Hubble tension.
  • Figure 5: Redshift evolution of the dark energy equation of state for the best-fit bimetric and $w_0 w_a$CDM models from the combined BAO (DESI DR2), CMB (Planck 2018 + ACT), and SNe Ia (DES Y5) data. For the $w_0 w_a$CDM model, $w_\mathrm{DE}$ is $<-1$ and approximately constant at early times, crosses the phantom divide at $z \simeq 0.4$, and approaches $-0.8$ today. For the bimetric model $w_\mathrm{DE}$, starts at $-1$ in the early universe, then rises monotonically after recombination, with $\Omega_\mathrm{DE}$ increasing from a negative value, crossing zero at $z \simeq 5$, where the equation of state formally diverges, and remaining below $-1$ thereafter, steadily approaching $-1$. The divergence in $w_\mathrm{DE}$ simply reflects the change of sign in the energy density and does not indicate a physical pathology. This is a behavior that the CPL parameterization cannot capture.