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Observational constraints on Luciano-Saridakis entropic cosmology

Matías Leizerovich, Susana J. Landau, Giuseppe Gaetano Luciano, Andreas Papatriantafyllou, Emmanuel N. Saridakis

Abstract

A recently proposed generalized entropy by Luciano and Saridakis extends the standard Boltzmann-Gibbs and Bekenstein-Hawking framework through a microscopically motivated construction involving two independent entropic exponents. When applied within the gravity-thermodynamics correspondence, this entropy leads to a modified cosmological dynamics that can be interpreted as an effective dark energy sector of entropic origin, while recovering $Λ$CDM in appropriate limits. In this work, we perform the first observational confrontation of the resulting entropic cosmology at the background level. Focusing on the case $α_δ=0$, we constrain the model using Cosmic Chronometers, Pantheon$^+$ Type Ia supernovae calibrated with SH0ES, BAO measurements from DESI DR2 and compressed Planck 2018 CMB information. We find that the model yields a statistically robust fit to the combined data sets and can simultaneously satisfy Pantheon$^+$, SH0ES and CMB shift-parameter constraints, unlike $Λ$CDM. Although the entropic parameters remain close to their standard values, the $Λ$CDM limit is excluded at the $2σ$ level within the restricted parameter space considered. These results indicate that the Luciano-Saridakis entropic cosmology offers a viable extension of the standard model with the potential to alleviate the Hubble tension at the background level.

Observational constraints on Luciano-Saridakis entropic cosmology

Abstract

A recently proposed generalized entropy by Luciano and Saridakis extends the standard Boltzmann-Gibbs and Bekenstein-Hawking framework through a microscopically motivated construction involving two independent entropic exponents. When applied within the gravity-thermodynamics correspondence, this entropy leads to a modified cosmological dynamics that can be interpreted as an effective dark energy sector of entropic origin, while recovering CDM in appropriate limits. In this work, we perform the first observational confrontation of the resulting entropic cosmology at the background level. Focusing on the case , we constrain the model using Cosmic Chronometers, Pantheon Type Ia supernovae calibrated with SH0ES, BAO measurements from DESI DR2 and compressed Planck 2018 CMB information. We find that the model yields a statistically robust fit to the combined data sets and can simultaneously satisfy Pantheon, SH0ES and CMB shift-parameter constraints, unlike CDM. Although the entropic parameters remain close to their standard values, the CDM limit is excluded at the level within the restricted parameter space considered. These results indicate that the Luciano-Saridakis entropic cosmology offers a viable extension of the standard model with the potential to alleviate the Hubble tension at the background level.
Paper Structure (7 sections, 30 equations, 5 figures, 2 tables)

This paper contains 7 sections, 30 equations, 5 figures, 2 tables.

Figures (5)

  • Figure 1: Percentage difference of the sound horizon calculated in the LSEC model with respect to $\Lambda$CDM: Upper panel: Sound horizon at recombination, Lower panel: Sound horizon at the drag epoch. The values of $h$, $\omega_m$, $\omega_b$, $\tilde{\alpha}_\epsilon$ and $\epsilon$ are fixed to their mean values reported in Table \ref{['tab:results']}.
  • Figure 2: Percentage difference of the comoving distance calculated in the LSEC model with respect to $\Lambda$CDM. The values of $h$, $\omega_m$, $\omega_b$, $\tilde{\alpha}_\epsilon$ and $\epsilon$ are fixed to their mean values reported in Table \ref{['tab:results']}.
  • Figure 3: Results for the statistical analyses considering CMB (Planck 18 - Shift parameters), CC, SnIa + SH0ES (PPS), BAO (DESI DR2) datasets separately. Contour plots and 1-dimensional for the LSEC model with $\alpha_\delta=0$. The contours represent 68% and 95% confidence levels.
  • Figure 4: Results for the statistical analyses considering CMB (Planck 18 - Shift parameters), CC, SnIa + SH0ES (PPS), BAO (DESI DR2) datasets separately. Contour plots and 1-dimensional posteriors for $\rm \Lambda CDM$. The contours represent 68% and 95% confidence levels.
  • Figure 5: Posterior distributions for the parameters of the LSEC model with $\alpha_\delta=0$ using CMB+CC+BAO+SnIa datasets. The contours represent 68% and 95% confidence levels.