Explaining the Dark Energy, Baryon and Dark Matter Coincidence via Domain-Dependent Random Densities
John McDonald

TL;DR
This paper proposes a statistical framework where the observed similarity of dark energy, baryon, and dark matter densities arises from superhorizon domains with randomly varying densities, explained through anthropic selection and specific density dependencies.
Contribution
It introduces a model linking densities to random variables and computes probability distributions, explaining the coincidence without fine-tuning, and aligns with physical scenarios like axion dark matter and quintessence.
Findings
The observed density ratios are statistically natural within the proposed model.
The model's probability distribution matches observed values for specific parameter choices.
The framework supports a physical realization involving axion dark matter and quintessence.
Abstract
The dark energy, dark matter and baryon densities in the Universe are observed to be similar, with a factor of no more than 20 between the largest and smallest densities. We show that this coincidence can be understood via superhorizon domains of randomly varying densities when the baryon density at initial collapse of galaxy-forming perturbations is determined by anthropic selection. The baryon and dark matter densities are assumed to be dependent on random variables \theta_{d} and \theta_{b} according to \rho_{dm} ~ \theta_{d}^{\alpha} and \rho_{b} ~ \theta_{b}^{\beta}, while the effectively constant dark energy density is dependent upon a random variable \phi_{Q} according to \rho_{Q} ~ \phi_{Q}^{n}. The ratio of the baryon density to the dark energy density at initial collapse, r_{Q}, and the baryon-to-dark matter ratio, r, are then determined purely statistically, with no…
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