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• W2944908437 abstract "We introduce a new approach for cosmological parameter estimation based on the information-theoretical Jensen-Shannon divergence (${cal D}_{rm JS}$), calculating it for models in the restricted parameter space ${H_0, w_0, w_a}$, where $H_0$ is the value of the Hubble constant today, and $w_0$ and $w_a$ are dark energy parameters, with the other parameters held fixed at their best-fit values from the Planck 2018 data. As an application, we investigate the $H_0$ tension between the Planck temperature power spectrum data (TT) and the local astronomical data by comparing the $Lambda$CDM model with the $w$CDM and the $w_0w_a$CDM dynamic dark energy models. We find agreement with other works using the standard Bayesian inference for parameter estimation; in addition, we show that while the ${cal D}_{rm JS}$ is equally minimized for both values of $H_0$ along the $(w_0,w_a)$ plane, the lines of degeneracy are different for each value of $H_0$. This allows for distinguishing between the two, once the value of either $w_0$ or $w_a$ is known." @default.
• W2944908437 created "2019-05-29" @default.
• W2944908437 creator A5050798556 @default.
• W2944908437 creator A5077451482 @default.
• W2944908437 creator A5082552436 @default.
• W2944908437 date "2020-12-03" @default.
• W2944908437 modified "2023-09-23" @default.
• W2944908437 title "Informational approach to cosmological parameter estimation" @default.
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• W2944908437 doi "https://doi.org/10.1103/physrevd.102.123514" @default.
• W2944908437 hasPublicationYear "2020" @default.
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