COSMOLIKE - cosmological likelihood analyses for photometric galaxy surveys
COSMOLIKE - cosmological likelihood analyses for photometric galaxy surveys
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DOI：
10.1093/mnras/stx1261
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发表时间：
2016-01
影响因子：
4.8
通讯作者：
E. Krause;T. Eifler
中科院分区：
文献类型：
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作者：
E. Krause;T. Eifler
我们探索了从宇宙切变、星系-星系透镜、星系团、星系团数目计数和星系团弱透镜的联合分析中提取宇宙学约束的策略。我们利用COSMOLIKE软件模拟了一个类似大型天文观测望远镜(LSST)的数据集的结果，具体地说，我们(1)比较了不同探测器的单独和联合分析，(2)改变了透镜星系和源星系的选择标准，(3)研究了混合的影响，(4)研究了假设的宇宙学模型在多探测器协方差中的影响，(6)将信息量作为尺度的函数进行了量化，(7)在多探测器的背景下探索了内在星系排列的影响。我们的分析考虑了探测器内部和探测器之间的所有交叉相关性，并在多探测器协方差矩阵中包括了更高阶(非高斯)项。我们同时模拟宇宙学参数和各种系统学，例如，剪切和光z校准产生的不确定性，星系团质量-可观测关系，星系内在排列和星系偏差(总共多达54个参数)。我们重点介绍了两个结果：第一，将源星系的数密度增加30%，这相当于解决∼的混合问题，只获得了很少的信息。其次，将小尺度包括在星系团和星系-星系透镜中，利用晕占据分布模型，可以大大增强宇宙学的约束力。
We explore strategies to extract cosmological constraints from a joint analysis of cosmic shear, galaxy–galaxy lensing, galaxy clustering, cluster number counts and cluster weak lensing. We utilize the COSMOLIKE software to simulate results from a Large Synoptic Survey Telescope (LSST) like data set, specifically, we (1) compare individual and joint analyses of the different probes, (2) vary the selection criteria for lens and source galaxies, (3) investigate the impact of blending, (4) investigate the impact of the assumed cosmological model in multiprobe covariances, (6) quantify information content as a function of scales and (7) explore the impact of intrinsic galaxy alignment in a multiprobe context. Our analyses account for all cross-correlations within and across probes and include the higher-order (non-Gaussian) terms in the multiprobe covariance matrix. We simultaneously model cosmological parameters and a variety of systematics, e.g. uncertainties arising from shear and photo-z calibration, cluster mass-observable relation, galaxy intrinsic alignment and galaxy bias (up to 54 parameters altogether). We highlight two results: first, increasing the number density of source galaxies by ∼30 per cent, which corresponds to solving blending for LSST, only gains little information. Secondly, including small scales in clustering and galaxy–galaxy lensing, by utilizing halo occupation distribution models, can substantially boost cosmological constraining power.