BEHOMO项目：$Λ$ LTB $N$ -人体模拟
The BEHOMO project: $Λ$LTB $N$-body simulations
摘要：
我们的宇宙可能具有大尺度的非均匀性和各向异性，这不能用宇宙学的标准模型来解释，也就是说，$Λ$ CDM模型所建立的均匀和各向同性的FLRW度规可能无法准确地描述观测。目前，对非均匀背景下大尺度结构的演化还没有一个令人满意的认识。我们启动了Beyond Homogeneity and Isotropy宇宙学（BEHOMO）计划，用数值宇宙学的方法研究了非均匀$Λ$ LTB模型。理解大尺度结构的演化是用现在和未来的观测量约束非均匀模型并将标准模型置于更坚实的基础上的必要步骤。我们进行牛顿$N$体模拟，其准确性描述的背景演变检查对广义相对论的解决方案。相应的$Λ$ CDM模拟的大尺度结构也得到了验证。我们获得了有史以来产生的$Λ$ LTB模型的第一组模拟。数据产品包括11个快照之间的红移0和3.7的每一个已经执行的68个模拟，连同晕目录和透镜平面相对于21个快照，在红移0和4.2之间，总约180 TB的数据。我们计划在线性和非线性水平上研究微扰的增长，引力透镜，星系团的丰度和性质。数据可应要求获取。更多信息请访问valerio-marra.github.io/BEHOMO-project。
英文摘要：
Our Universe may feature large-scale inhomogeneities and anisotropies which cannot be explained by the standard model of cosmology, that is, the homogeneous and isotropic FLRW metric, on which the $Λ$CDM model is built, may not describe accurately observations. Currently, there is not a satisfactory understanding of the evolution of the large-scale structure on an inhomogeneous background. We start the cosmology beyond homogeneity and isotropy (BEHOMO) project and study the inhomogeneous $Λ$LTB model with the methods of numerical cosmology. Understanding the evolution of the large-scale structure is a necessary step to constrain inhomogeneous models with present and future observables and place the standard model on more solid grounds. We perform Newtonian $N$-body simulations, whose accuracy in describing the background evolution is checked against the general relativistic solution. The large-scale structure of the corresponding $Λ$CDM simulation is also validated. We obtain the first set of simulations of the $Λ$LTB model ever produced. The data products consist of 11 snapshots between redshift 0 and 3.7 for each of the 68 simulations that have been performed, together with halo catalogs and lens planes relative to 21 snapshots, between redshift 0 and 4.2, for a total of approximately 180 TB of data. We plan to study the growth of perturbations at the linear and nonlinear level, gravitational lensing, cluster abundances and proprieties. Data can be obtained upon request. Further information is available at valerio-marra.github.io/BEHOMO-project .
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