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Testing interacting dark matter and dark energy model with cosmological data

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Title
Testing interacting dark matter and dark energy model with cosmological data
Author(s)
Gong Cheng; Yin-Zhe Ma; Fengquan Wu; Jiajun Zhang; Xuelei Chen
Subject
BARYON ACOUSTIC-OSCILLATIONS, ; MAIN GALAXY SAMPLE, ; REDSHIFT 0.8, ; GROWTH-RATE, ; I.
Publication Date
2020-08
Journal
PHYSICAL REVIEW D, v.102, no.4, pp.043517
Publisher
AMER PHYSICAL SOC
Abstract
© 2020 American Physical Society. We investigate the model of dark matter-dark energy (DM-DE) interaction with coupling strength proportional to the multiplication of dark sector densities with different power indices Q = gamma rho(a)(c)rho(beta)(d). We first investigate the modification of the cosmic expansion history, and then further develop the formalism to take into account the cosmological perturbations and dark matter temperature evolution. We then use the latest observational cosmology data, including cosmic microwave background (CMB) data, baryon acoustic oscillations (BAO) data, redshift-space distortion (RSD) data and Type Ia supernovae (SNe) data to constrain the model parameters. We find in the phantom region, a positive alpha is preferred by the data above 2 sigma statistic significance. If we choose the power indices to be integers or half-integers for plausible physics of particle interaction, the allowed values within 1 sigma confidence regions are alpha = 0.5 and beta = 0, 0.5, 1. The inclusion of BAO and RSD data from large-scale structure and SNe data improves the constraints significantly. Our model predicts lower values of f(z)sigma(8)(z) at z < 1 comparing to Lambda CDM model, which alleviates the tension of Lambda CDM with various RSD data from optical galaxy surveys. Overall, the DM-DE interaction model is consistent with the current observational data, especially providing a better fit to the RSD data
URI
https://pr.ibs.re.kr/handle/8788114/7688
DOI
10.1103/PhysRevD.102.043517
ISSN
2470-0010
Appears in Collections:
Center for Fundamental Theory(순수물리이론 연구단) > 1. Journal Papers (저널논문)
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