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

Autor:	Yin, Zhixiang, Ren, Zelin, Costa, André A.
Rok vydání:	2023
Předmět:	Astrophysics - Cosmology and Nongalactic Astrophysics General Relativity and Quantum Cosmology
Druh dokumentu:	Working Paper
Popis:	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. Comment: 12 pages, 6 figures, 5 tables
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2309.15227 Zobrazit plný text záznamu View this record from Arxiv