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arXiv 1002.5004astro-ph.CO
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暗能量的直接重建

Direct reconstruction of dark energy

Chris Clarkson, Caroline Zunckel

摘要:

直接从观测数据重建有效的暗能量状态方程是宇宙学中的一个重要问题。由于物理模型如此之少,未来的暗能量研究不能仅仅基于约束暗能量参数空间。本文提出了一种新的非参数方法,它可以精确地重建各种各样的暗能量行为,而不需要事先对暗能量做任何假设,这种方法简单、快速、相对精确,而且不涉及昂贵的参数空间探索。该技术使用主成分分析和信息标准的组合来识别数据中的真实特征,并定制拟合函数以拾取趋势并平滑噪声。我们发现,我们可以使用SNAP质量的数据将大量的w(z)模型限制在红移z<1的10- 20%之内。

英文摘要:

An important issue in cosmology is reconstructing the effective dark energy equation of state directly from observations. With so few physically motivated models, future dark energy studies cannot only be based on constraining a dark energy parameter space. We present a new non-parametric method which can accurately reconstruct a wide variety of dark energy behaviour with no prior assumptions about it. It is simple, quick and relatively accurate, and involves no expensive explorations of parameter space. The technique uses principal component analysis and a combination of information criteria to identify real features in the data, and tailors the fitting functions to pick up trends and smooth over noise. We find that we can constrain a large variety of w(z) models to within 10-20 % at redshifts z<1 using just SNAP-quality data.

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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