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A divergence-free parametrization for dynamical dark energy

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arxiv 1501.07598 v4 pith:HQCBKHS7 submitted 2015-01-29 astro-ph.CO gr-qc

Ozgur Akarsu , Tekin Dereli , J. Alberto Vazquez This is my paper
classification astro-ph.COgr-qc
keywords darkenergydatadynamicalparametrizationsamedegreesequation
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abstract

We introduce a new parametrization for the dark energy, led by the same idea to the linear expansion of the equation of state in scale factor $a$ and in redshift $z$, which diverges neither in the past nor future and contains the same number of degrees of freedom with the former two. We present constraints of the cosmological parameters using the most updated baryon acoustic oscillation (BAO) measurements along with cosmic microwave background (CMB) data and a recent reanalysis of Type Ia supernova (SN) data. This new parametrization allowed us to carry out successive observational analyses by decreasing its degrees of freedom systematically until ending up with a dynamical dark energy model that has the same number of parameters with $\Lambda$CDM. We found that the dark energy source with a dynamical equation of state parameter equal $-2/3$ at the early universe and $-1$ today fits the data slightly better than $\Lambda$.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. How Holographic is the Dark Energy? A Spline Nodal reconstruction approach

    astro-ph.CO 2025-07 conditional novelty 5.0 of 10

    A three-node spline reconstruction of holographic dark energy improves chi-squared over LambdaCDM by about 10 to 12, but Bayesian evidence gives no clear preference.

  2. An overview of what current data can (and cannot yet) say about evolving dark energy

    astro-ph.CO 2025-02 conditional novelty 4.0 of 10

    The apparent preference for evolving dark energy depends strongly on which supernova catalog and which BAO survey are used, and is not robust across all independent data combinations.

  3. Dissipative Cosmology and the Nature of Dark Energy: Insights from Bulk Viscosity with DESI DR2 observations

    astro-ph.CO 2026-06 unverdicted novelty 3.0 of 10

    Bulk viscous fluid models for dark energy yield improved fits to supernova, BAO, and CMB data over LambdaCDM, especially in the interacting non-minimal case.

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