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arXiv 2202.07546gr-qc
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非最小耦合于冷暗物质的2-形式场引发的晚期各向异性

Late-Time Anisotropy Sourced by a 2-Form Field Non-Minimally Coupled to Cold Dark Matter

J. Bayron Orjuela-Quintana, Jose L. Palacios-Córdoba, César A. Valenzuela-Toledo

AI总结:

该研究探讨Bianchi I背景下2-形式场与冷暗物质作用的宇宙动力学,发现两类德西特吸引子,数值验证耦合放大物质主导期剪切,用观测数据约束当前剪切约为$Σ_0 \not\neq - 10^{-4}$,并对比2-形式与1-形式场的膨胀动力学差异。

摘要:

本文研究了Bianchi I背景下2-形式场与冷暗物质相互作用产生的宇宙学动力学。通过动力学系统分析,我们识别出两个导致宇宙指数膨胀的吸引子,即德西特(de-Sitter)解。值得注意的是,这些解存在关键区别:一个与宇宙学常数场景无法区分,另一个则对应由2-形式场引发的各向异性德西特膨胀。为验证模型的渐近行为,我们对其膨胀历史进行了数值探究。分析表明,暗物质组分间的耦合会在物质主导时期放大剪切,为解决结构形成过程相关的某些观测差异提供了潜在途径。随后,我们利用最新观测数据集对模型的参数空间进行了约束。值得关注的是,我们发现当前剪切被精确约束为约$Σ_0 \neq - 10^{-4}$。本文还讨论了2-形式场引发的膨胀动力学与1-形式场(即矢量场)的若干关键差异,为二者对晚期各向异性支撑作用的各自影响提供了见解。

英文摘要:

This paper investigates the cosmological dynamics arising from the interaction between a 2-form field and cold dark matter within a Bianchi I background. Employing a dynamical system analysis, we identify two attractors yielding to exponential expansion of the Universe, i.e., de-Sitter solutions. Notably, these solutions exhibit a pivotal distinction: one is indistinguishable from the cosmological constant scenario, while the other corresponds to an \emph{anisotropic de-Sitter} expansion sourced by the 2-form field. To validate the asymptotic behavior of our model, we conduct a numerical exploration of its expansion history. Our analysis reveals that the coupling between the dark sectors amplifies the shear during the matter-dominated epoch, offering a potential avenue to address certain observational discrepancies related to the structure formation process. Then, we constrain the parameter space of the model using recent observational datasets. Remarkably, we find that the current shear is precisely constrained to be approximately $Σ_0 \approx - 10^{-4}$. We also discuss some key differences in the expansionary dynamics sourced by the 2-form field compared to a 1-form field, i.e., a vector field, offering insights into their respective impacts on the support they provide to late-time anisotropy.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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