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Imprints of Dark Energy on Cosmic Structure Formation. I. Realistic Quintessence Models

机译:黑暗能量对宇宙结构形成的影响。一,逼真的精髓模型

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摘要

Dark energy as a quintessence component causes a typical modification of thebackground cosmic expansion, which in addition to its clustering properties,can leave a potentially distinctive signature on large scale structures. Manyprevious studies have investigated this topic, particularly in relation to thenon-linear regime of structure formation. However, no careful pre-selection ofviable quintessence models with high precision cosmological data was performed.Here we show that this has led to a misinterpretation (and underestimation) ofthe imprint of quintessence on the distribution of large scale structures. Tothis purpose we perform a likelihood analysis of the combined Supernova IaUNION dataset and WMAP5-years data to identify realistic quintessence models.Differences from the vanilla LambdaCDM are especially manifest in the predictedamplitude and shape of the linear matter power spectrum, though these remainwithin the uncertainties of the SDSS data. We use these models as benchmark forstudying the clustering properties of dark matter halos by performing a seriesof high resolution N-body simulations. We find that realistic quintessencemodels allow for relevant differences of the dark matter distribution with therespect to the LambdaCDM scenario well into the non-linear regime, withdeviations up to 40% in the non-linear power spectrum. Such differences areshown to depend on the nature of DE, as well as the scale and epoch considered.At small scales (k~1-5 h Mpc^{-1}, depending on the redshift) the structureformation process is about 20% more efficient than in LambdaCDM. We show thatthese imprints are a specific record of the cosmic structure formation historyin DE cosmologies and therefore cannot be accounted in standard fittingfunctions of the non-linear matter power spectrum. Comment: 24 pages, 11 figures. Higher resolution paper available at http://cp3.phys.ucl.ac.be/upload/papers/astro-ph-0903.5490.ps (ps) and http://cp3.phys.ucl.ac.be/upload/papers/astro-ph-0903.5490.pdf (pdf). v2: New discussion on the non-linear power spectrum at small scales. v3: same as v2 with corrected references. Matches version to appear in MNRAS
机译:作为典型成分的暗能量会导致背景宇宙膨胀的典型变化,除了其聚类特性外,它还可能在大规模结构上留下潜在的独特特征。许多先前的研究已经对该主题进行了研究,特别是关于结构形成的非线性机制。但是,没有对具有高精度宇宙学数据的可行的典型模型进行仔细的预选。在这里,我们表明这导致了典型特征对大型结构分布的烙印的错误解释(并低估了)。为此,我们对超新星IaUNION数据集和WMAP5年的数据进行了似然分析,以识别出真实的典型模型。香草LambdaCDM的差异尤其体现在线性物质功率谱的预测幅度和形状上,尽管这些仍在不确定性内SDSS数据。我们通过执行一系列高分辨率的N体模拟,将这些模型用作研究暗物质晕的聚类特性的基准。我们发现,现实的典型模型考虑到LambdaCDM情景,使暗物质分布的相关差异很好地进入了非线性状态,在非线性功率谱中的偏差高达40%。这些差异取决于DE的性质以及所考虑的规模和时代。在小规模(k〜1-5 h Mpc ^ {-1},取决于红移)下,结构形成过程要多20%左右。比LambdaCDM更高效。我们表明,这些烙印是DE宇宙学中宇宙结构形成历史的特定记录,因此无法在非线性物质功率谱的标准拟合函数中加以说明。评论:24页,11位数字。可在http://cp3.phys.ucl.ac.be/upload/papers/astro-ph-0903.5490.ps(ps)和http://cp3.phys.ucl.ac.be/upload/获得更高分辨率的论文论文/astro-ph-0903.5490.pdf(pdf)。 v2:有关小规模非线性功率谱的新讨论。 v3:与v2相同,带有更正的引用。匹配版本以显示在MNRAS中

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