Cosmological evolution of viable models in the generalized scalar-tensor theory
| Autor: | Shun Arai, Purnendu Karmakar, Atsushi Nishizawa |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Physics
High Energy Physics - Theory Cosmology and Nongalactic Astrophysics (astro-ph.CO) 010308 nuclear & particles physics Degenerate energy levels Planck mass FOS: Physical sciences Positive-definite matrix General Relativity and Quantum Cosmology (gr-qc) 01 natural sciences General Relativity and Quantum Cosmology symbols.namesake Scalar–tensor theory Model parameter High Energy Physics - Theory (hep-th) 0103 physical sciences symbols 010306 general physics Hamiltonian (quantum mechanics) Scalar field Hubble's law Mathematical physics Astrophysics - Cosmology and Nongalactic Astrophysics |
| Popis: | We investigate the parameter distributions of the viable generalized scalar-tensor theory with conventional dust matter after GW170817 in a model-independent way. We numerically construct the models by computing the time evolution of a scalar field, which leads to a positive definite second-order Hamiltonian and are consistent with the observed Hubble parameter. We show the model parameter distributions in the degenerate higher-order scalar-tensor (DHOST) theory, and its popular subclasses, e.g., Horndeski and GLPV theories, etc.. We find that 1) the Planck mass run rate, $\alpha_M$, is insensitive to distinguish the theories. 2) the kinetic-braiding parameter, $\alpha_B$, clearly discriminates the models from those of the Horndeski theory, 3) the parameters for the higher-order theories, $\alpha_H$ and $\beta_1$, are relatively smaller in magnitude (by several factors) than $\alpha_M$ and $\alpha_B$, but can still be used for discriminating the theories except for the GLPV theory. Based on the above three facts, we propose a minimal set of parameters that sensibly distinguishes the subclasses of DHOST theories, ($\alpha_M$, $\alpha_B-\alpha_M/2$, $\beta_1$). Comment: 43 pages, 20 figures, updated to the PRD accepted version |
| Databáze: | OpenAIRE |
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