非最小 F(Q)引力模型中的通货膨胀情景

IF 5.4 3区 材料科学 Q2 CHEMISTRY, PHYSICAL
S. Davood Sadatian, S. Mohamad Reza Hosseini
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引用次数: 0

摘要

f(Q)引力是一种修正引力理论,其拉格朗日是非度量标量Q的函数。f(Q)引力理论是一大类修正引力理论的一部分,旨在解释宇宙加速膨胀而不需要暗能量。在本文中,我们研究了标量场与物质非最小耦合的修正引力 f(Q)(它与膨胀标量场(j)和非度量标量(Q)有一个新的相互作用项 αQ(1+j2))。在追寻过程中,通过确定慢滚参数和计算场方程后获得模型的线性扰动,对一个膨胀模型进行了扩展和研究。通过将模型参数与 CMB 观测数据进行比较,通过参数约束使模型与观测数据相适应。经过一些数值计算,我们表明在1<α<1.5和1.42<γ2<1.75的条件下,我们的模型与观测数据是一致的,并且不存在幻影。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Inflation scenario in a non-minimal f(Q) gravity model

In the context of f(Q) gravity, cosmological inflation takes a different turn. f(Q) gravity is a modified theory of gravity, where the Lagrangian is a function of the non-metricity scalar Q. f(Q) gravity theory is part of an extensive class of modified gravity theories designed to explain the accelerated expansion of the universe without the requirement for dark energy. In this paper, we study the modified gravity f(Q) in which the scalar field is non-minimally coupled with the matter (it has a new interaction term αQ(1+ϕ2) with the inflaton scalar field (ϕ) and non-metricity scalar (Q)). In pursuit, an inflationary model is extended and investigated by determining the slow-roll parameters and obtaining the model's linear perturbations after calculating the field equation. By comparing the model parameters with the CMB observational data, the model is adapted to observational data through the constraint of the parameters. After some numerical calculations, we show our model is consistent with observational data and free of the phantom if 1<α<1.5 and 1.42<γ2<1.75.

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来源期刊
ACS Applied Energy Materials
ACS Applied Energy Materials Materials Science-Materials Chemistry
CiteScore
10.30
自引率
6.20%
发文量
1368
期刊介绍: ACS Applied Energy Materials is an interdisciplinary journal publishing original research covering all aspects of materials, engineering, chemistry, physics and biology relevant to energy conversion and storage. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important energy applications.
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