Cosmological implications of tracker scalar fields: Testing the evidence for dynamical dark energy with recent data
Md. Wali Hossain, Afaq Maqsood
TL;DR
The paper assesses non-phantom tracker scalar field models as dynamical dark energy by studying inverse axionlike (IAX) and inverse steep exponential (ISE) potentials, including their background evolution and perturbations. It combines CMB, DESI DR1/DR2 BAO, Pantheon Plus, H(z), and RSD data, using AIC/BIC for model comparison to ΛCDM. The results show a mild suppression of the matter power spectrum and fσ8 relative to ΛCDM, while the reduced bispectrum remains similar to ΛCDM, yielding no strong evidence for dynamical dark energy in the non-phantom regime; the IAX model is somewhat favored over ISE but neither outperforms ΛCDM. The findings suggest that current non-phantom tracker models do not alleviate existing tensions and that phantom-crossing scenarios, which some studies have found to fit certain datasets better, remain an important direction for future work.
Abstract
We investigate non phantom tracker scalar field models as dynamical dark energy scenario. These models can alleviate the cosmic coincidence problem and transition to a cosmological constant-like behaviour at late times. Focusing on the inverse axionlike and inverse steep exponential potentials, we study their background evolution and perturbations, finding a mild suppression in the matter power spectrum compared to $Λ$CDM but no distinguishing features in the bispectrum. Using combined datasets of ${\rm CMB}+{\rm BAO\; (DESI~DR1\; \&\; DR2)}+{\rm Pantheon~Plus}+{\rm Hubble\; parameter}+{\rm RSD}$, we perform a statistical comparison based on the Akaike Information Criterion (AIC) and the Bayesian Information Criterion (BIC). Our results indicate that, within the framework of non-phantom tracker models, the data show no evidence for dynamical dark energy. The $Λ$CDM model continues to provide a better fit to current observations in the non phantom regime. We emphasise, however, that our analysis does not rule out the possibility of phantom-crossing dark energy models, which have been found in other studies to provide a better fit to some datasets.
