SPT和Planck I的DES 3年数据和CMB镜头的联合分析：CMB镜头图的构建和建模选择

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SPT和Planck I的DES 3年数据和CMB镜头的联合分析：CMB镜头图的构建和建模选择

Joint analysis of DES Year 3 data and CMB lensing from SPT and Planck I: Construction of CMB Lensing Maps and Modeling Choices

论文作者

Omori, Y., Baxter, E. J., Chang, C., Friedrich, O., Alarcon, A., Alves, O., Amon, A., Andrade-Oliveira, F., Bechtol, K., Becker, M. R., Bernstein, G. M., Blazek, J., Bleem, L. E., Camacho, H., Campos, A., Rosell, A. Carnero, Kind, M. Carrasco, Cawthon, R., Chen, R., Choi, A., Cordero, J., Crawford, T. M., Crocce, M., Davis, C., DeRose, J., Dodelson, S., Doux, C., Drlica-Wagner, A., Eckert, K., Eifler, T. F., Elsner, F., Elvin-Poole, J., Everett, S., Fang, X., Ferté, A., Fosalba, P., Gatti, M., Giannini, G., Gruen, D., Gruendl, R. A., Harrison, I., Herner, K., Huang, H., Huff, E. M., Huterer, D., Jarvis, M., Krause, E., Kuropatkin, N., Leget, P. -F., Lemos, P., Liddle, A. R., MacCrann, N., McCullough, J., Muir, J., Myles, J., Navarro-Alsina, A., Pandey, S., Park, Y., Porredon, A., Prat, J., Raveri, M., Rollins, R. P., Roodman, A., Rosenfeld, R., Ross, A. J., Rykoff, E. S., Sánchez, C., Sanchez, J., Secco, L. F., Sevilla-Noarbe, I., Sheldon, E., Shin, T., Troxel, M. A., Tutusaus, I., Varga, T. N., Weaverdyck, N., Wechsler, R. H., Wu, W. L. K., Yanny, B., Yin, B., Zhang, Y., Zuntz, J., Abbott, T. M. C., Aguena, M., Allam, S., Annis, J., Bacon, D., Benson, B. A., Bertin, E., Bocquet, S., Brooks, D., Burke, D. L., Carlstrom, J. E., Carretero, J., Chang, C. L., Chown, R., Costanzi, M., da Costa, L. N., Crites, A. T., Pereira, M. E. S., de Haan, T., De Vicente, J., Desai, S., Diehl, H. T., Dobbs, M. A., Doel, P., Everett, W., Ferrero, I., Flaugher, B., Friedel, D., Frieman, J., García-Bellido, J., Gaztanaga, E., George, E. M., Giannantonio, T., Halverson, N. W., Hinton, S. R., Holder, G. P., Hollowood, D. L., Holzapfel, W. L., Honscheid, K., Hrubes, J. D., James, D. J., Knox, L., Kuehn, K., Lahav, O., Lee, A. T., Lima, M., Luong-Van, D., March, M., McMahon, J. J., Melchior, P., Menanteau, F., Meyer, S. S., Miquel, R., Mocanu, L., Mohr, J. J., Morgan, R., Natoli, T., Padin, S., Palmese, A., Paz-Chinchón, F., Pieres, A., Malagón, A. A. Plazas, Pryke, C., Reichardt, C. L., Romer, A. K., Ruhl, J. E., Sanchez, E., Schaffer, K. K., Schubnell, M., Serrano, S., Shirokoff, E., Smith, M., Staniszewski, Z., Stark, A. A., Suchyta, E., Tarle, G., Thomas, D., To, C., Vieira, J. D., Weller, J., Williamson, R.

论文摘要

对宇宙微波背景（CMB）的星系位置，星系镜头和镜头的测量之间的互相关的联合分析提供了对宇宙大规模结构的强大约束。在即将进行的分析中，我们将通过使用黑暗能源调查（DES）的第3年数据以及来自南极望远镜（SPT）和Planck的CMB数据进行测量的这种互相关的分析。在这里，我们提供了此分析的两个关键要素：（1）SPT-SZ调查足迹中改进的CMB镜头图，以及（2）将用于从互相关测量中提取宇宙学信息的分析方法。相对于先前由相同CMB观测的镜头图，我们实施了从Thermal Sunyaev Zel'Dovich效应中去除污染的技术，从而使宇宙学信息从跨跨相关测量的较小角度尺度中提取，而不是先前的分析中的DES 1年级数据。我们描述了这些地图和DES数据之间互相关的模型，并验证我们的建模选择以证明我们的分析的鲁棒性。然后，我们预测了Galaxy Survey-CMB镜头自动和互相关的预期宇宙学约束。我们发现，Galaxy-CMB镜头和Galaxy Shear-CMB镜头相关性将对$ s_8 =σ_8\ sqrt {ω_ {\ rm m} /0.3} $构成约束，以几个％的级别提供了强大的一致性检查，从而提供了强大的一致性检查。我们探索了去除剪切校准的外部先验的方案，发现CMB透镜互相关的联合分析可以在5％至10％的水平下对剪切校准幅度提供约束。

Joint analyses of cross-correlations between measurements of galaxy positions, galaxy lensing, and lensing of the cosmic microwave background (CMB) offer powerful constraints on the large-scale structure of the Universe. In a forthcoming analysis, we will present cosmological constraints from the analysis of such cross-correlations measured using Year 3 data from the Dark Energy Survey (DES), and CMB data from the South Pole Telescope (SPT) and Planck. Here we present two key ingredients of this analysis: (1) an improved CMB lensing map in the SPT-SZ survey footprint, and (2) the analysis methodology that will be used to extract cosmological information from the cross-correlation measurements. Relative to previous lensing maps made from the same CMB observations, we have implemented techniques to remove contamination from the thermal Sunyaev Zel'dovich effect, enabling the extraction of cosmological information from smaller angular scales of the cross-correlation measurements than in previous analyses with DES Year 1 data. We describe our model for the cross-correlations between these maps and DES data, and validate our modeling choices to demonstrate the robustness of our analysis. We then forecast the expected cosmological constraints from the galaxy survey-CMB lensing auto and cross-correlations. We find that the galaxy-CMB lensing and galaxy shear-CMB lensing correlations will on their own provide a constraint on $S_8=σ_8 \sqrt{Ω_{\rm m}/0.3}$ at the few percent level, providing a powerful consistency check for the DES-only constraints. We explore scenarios where external priors on shear calibration are removed, finding that the joint analysis of CMB lensing cross-correlations can provide constraints on the shear calibration amplitude at the 5 to 10% level.

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