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arXiv · 2309.15227

Exploring Interacting Dark Energy with Chaos Quantum-Behaved Particle Swarm Optimization

Zhixiang Yin·Zelin Ren·André A. Costa
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Abstract

Models with an interaction between dark energy and dark matter have already been studied for about twenty years. However, in this paper, we provide for the first time a general analytical solution for models with an energy transfer given by $\mathcal{E} = 3H(\xi_1 \rho_c + \xi_2 \rho_d)$. We also use a new set of age-redshift data for 114 old astrophysical objects (OAO) and constrain some special cases of this general energy transfer. We use a method inspired on artificial intelligence, known as Chaos Quantum-behaved Particle Swarm Optimization (CQPSO), to explore the parameter space and search the best fit values. We test this method under a simulated scenario and also compare with previous MCMC results and find good agreement with the expected results.

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Zhixiang Yin, Zelin Ren, André A. Costa. 2023-09-26. Exploring Interacting Dark Energy with Chaos Quantum-Behaved Particle Swarm Optimization. https://arxiv.org/abs/2309.15227

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