[Submitted on 10 Nov 2022]

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    Abstract: We look at dark energy from a biology inspired viewpoint by means of the
    Approximate Bayesian Computation (ABC) and late time cosmological observations.
    We find that dynamical dark energy comes out on top, or in the ABC language
    naturally selected, over the standard $\Lambda$CDM cosmological scenario. We
    confirm this conclusion is robust to whether baryon acoustic oscillations and
    Hubble constant priors are considered. Our results show that the algorithm
    prefers low values of the Hubble constant, consistent or at least a few
    standard deviation away from the cosmic microwave background estimate,
    regardless of the priors taken initially in each model. This supports the
    result of the traditional MCMC analysis and could be viewed as strengthening
    evidence for dynamical dark energy being a more favorable model of late time

    Submission history

    From: Reginald Christian Bernardo [view email]

    Thu, 10 Nov 2022 10:56:28 UTC (9,014 KB)

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