揭开被遮蔽的宇宙：贝叶斯眼中的2M++目录
Unmasking the Masked Universe: the 2M++ catalogue through Bayesian eyes
摘要：
这项工作描述了一个完整的贝叶斯分析附近的宇宙跟踪星系的2M++调查。分析分两个连续步骤进行。第一步自洽地导出了在高斯统计近似下的光度依赖的星系偏差、物质涨落的功率谱和物质密度场。第二步，在固定偏差模型和固定宇宙学的假设下，对三维大尺度结构进行了详细的分析。这第二个步骤允许在z=1000的最终密度场和初始条件的重建，假设一个固定的偏置模型。从这些，我们得到的领域，自洽外推所观察到的大尺度结构。我们给出了两个例子，这些外推和它们的效用的结构检测：斯隆长城的可见性，和使用DIVA，拉格朗日为基础的技术来分类结构的检测和表征的本地虚空。
英文摘要：
This work describes a full Bayesian analysis of the Nearby Universe as traced by galaxies of the 2M++ survey. The analysis is run in two sequential steps. The first step self-consistently derives the luminosity dependent galaxy biases, the power-spectrum of matter fluctuations and matter density fields within a Gaussian statistic approximation. The second step makes a detailed analysis of the three dimensional Large Scale Structures, assuming a fixed bias model and a fixed cosmology. This second step allows for the reconstruction of both the final density field and the initial conditions at z=1000 assuming a fixed bias model. From these, we derive fields that self-consistently extrapolate the observed large scale structures. We give two examples of these extrapolation and their utility for the detection of structures: the visibility of the Sloan Great Wall, and the detection and characterization of the Local Void using DIVA, a Lagrangian based technique to classify structures.
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