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arXiv 1111.2400astro-ph.CO
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哈勃参数观测数据对Lema-Tolman-Bondi模型的约束

Constraints on Lema\^ıtre-Tolman-Bondi models from Observational Hubble Parameter data

Hao Wang, Tong-Jie Zhang

摘要:

我们使用观测哈勃参数数据(OHD),最新的观测数据集(Stern et al. 2010,简称SJVKS)和模拟数据集,以约束Lema-Tolman-Bondi(LTB)空洞模型。强调了在LTB宇宙学中对OHD本身进行一致性检验的必要性。选择三个空隙作为测试模型,并使用SN Ia和OHD的Union 2数据集进行约束。尽管它们的参数化不同,但我们的测试模型的结果显示出一些指示性的相似性,例如,从OHD获得的最佳拟合空隙都比从SNIa获得的空隙宽得多。由于SJVKS数据集的大小很小,因此约束条件并不确定。因此,未来OHD观测的约束力进行了研究,通过一个图的优点(FoM)分析的基础上的Monte Carlo模拟数据。我们发现,在未来OHD与SN Ia变得更加一致的情况下,测试模型的结果几乎是一致的:1)需要多达32个SJVKS样不确定性水平的OHD数据点才能给出比SN Ia的Union 2数据集更高的FoM; 2)精确的观测有助于减少所需的数量; 3)增加调查深度并不总是增加FoM。另一方面,如果未来的OHD和Union 2数据集以与目前类似的方式保持不同的空隙,则从两个探针获得的1σ置信区域最终应该分离。我们测试这个猜想,并发现,这种不一致性出现的最低观测要求(数据集的大小,不确定性水平和调查深度)强烈依赖于空模型。

英文摘要:

We use the observational Hubble parameter data (OHD), both the latest observational dataset (Stern et al. 2010, referred to as SJVKS) and the simulated datasets, to constrain Lema\^ıtre-Tolman-Bondi (LTB) void models. The necessity of the consistency check on OHD itself in the LTB cosmology is stressed. Three voids are chosen as test models and are constrained using the Union2 dataset of SN Ia as well as OHD. Despite their different parametrization, the results from our test models show some indicating similarities, e.g., the best-fit voids obtained from OHD are all considerably broader than those from SN Ia. Due to the small size of the SJVKS dataset, the constraints are not conclusive. The constraining power of the future OHD observations are therefore investigated, through a Figure of Merit (FoM) analysis based on the Monte Carlo simulated data. We found that, in the case that the future OHD become more consistent with SN Ia, the results from the test models are almost unanimous: 1) as many as 32 OHD data points at the SJVKS-like uncertainty level are needed to give a higher FoM than the Union2 dataset of SN Ia; 2) precise observation helps reduce this required number; 3) increasing the survey depth does not always increase the FoM. On the other hand, if the future OHD and the Union2 dataset keep favor different voids, in a similar manner as they do at present, the 1σ confidence regions obtained from the two probes should finally separate. We test this conjecture and found that, the minimum observational requirement (the size of the dataset, the uncertainty level and the survey depth) for this inconsistency to emerge depends strongly on the void model.

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