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arXiv 2307.09522astro-ph.CO
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利用额外暗流体的高维模型探索复合前宇宙

Exploration of the Pre-recombination Universe with a High-Dimensional Model of an Additional Dark Fluid

Michael Meiers, Lloyd Knox, Nils Schöneberg

AI总结:

本研究提出作为ΛCDM扩展的高维广义暗物质模型,指出用边缘化后验分布评估高维模型易产生误导,给出缓解策略,且证实该模型可缓解哈勃张力,其最佳拟合状态方程的特征可为后续建模提供参考。

摘要:

我们实现并探索了具有任意随红移变化状态方程的高维广义暗物质(HDGDM),作为ΛCDM模型的扩展。将该模型与CMB(宇宙微波背景)、BAO(重子声学振荡)和超新星数据拟合后,我们证明使用边缘化后验分布很容易得出关于此类高维模型可行性的误导性结论。我们讨论了这类陷阱及相应的缓解策略,这些策略可用于搜寻参数空间中受观测支持的区域。我们进一步表明,一旦采用这些技术,HDGDM模型在缓解哈勃张力方面确实展现出潜力,并且我们在最佳拟合状态方程中发现了有趣的特征,可为未来的模型构建提供启发。

英文摘要:

We implement and explore high-dimensional generalized dark matter (HDGDM) with an arbitrary equation of state as a function of redshift as an extension to ΛCDM.. Exposing this model to CMB, BAO, and supernova data, we demonstrate that the use of marginalized posterior distributions can easily lead to misleading conclusions on the viability of a high-dimensional model such as this one. We discuss such pitfalls and corresponding mitigation strategies, which can be used to search for an observationally favored region of the parameter space. We further show that the HDGDM model in particular does show promise in terms of its ability to ease the Hubble tension once such techniques are employed, and we find interesting features in the best-fitting equation of state that can serve as an inspiration for future model building.

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