论文标题

黑暗能源调查3年结果:Planck CMB镜头图中宇宙空隙和超级锁的烙印

Dark Energy Survey Year 3 results: imprints of cosmic voids and superclusters in the Planck CMB lensing map

论文作者

Kovács, A., Vielzeuf, P., Ferrero, I., Fosalba, P., Demirbozan, U., Miquel, R., Chang, C., Hamaus, N., Pollina, G., Bechtol, K., Becker, M., Rosell, A. Carnero, Kind, M. Carrasco, Cawthon, R., Crocce, M., Drlica-Wagner, A., Elvin-Poole, J., Gatti, M., Giannini, G., Gruendl, R. A., Porredon, A., Ross, A. J., Rykoff, E. S., Sevilla-Noarbe, I., Sheldon, E., Yanny, B., Abbott, T., Aguena, M., Allam, S., Annis, J., Bacon, D., Bernstein, G., Bertin, E., Bocquet, S., Brooks, D., Burke, D., Carretero, J., Castander, F. J., Costanzi, M., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Diehl, H. T., Dietrich, J., Ferté, A., Flaugher, B., Frieman, J., García-Bellido, J., Gaztañaga, E., Gerdes, D., Giannantonio, T., Gruen, D., Gschwend, J., Gutierrez, G., Hinton, S., Hollowood, D. L., Honscheid, K., Huterer, D., Kuehn, K., Lahav, O., Lima, M., March, M., Marshall, J., Melchior, P., Menanteau, F., Morgan, R., Muir, J., Ogando, R., Palmese, A., Paz-Chinchon, F., Pieres, A., Malagón, A. Plazas, Monroy, M. Rodriguez, Roodman, A., Sanchez, E., Schubnell, M., Serrano, S., Smith, M., Suchyta, E., Tarle, G., Thomas, D., To, C. -H., Varga, T. N., Weller, J.

论文摘要

来自宇宙空隙和超级流体的CMB镜头信号探测了低红移宇宙网络中结构的增长。在此分析中,我们将Planck CMB镜头图与暗能量调查中检测到的空隙交叉相关,第3(y3)数据集($ \ sim $ 5,000 $^{2} $),扩大了使用Y1目录($ \ sim $ \ sim $ 1,300 v $^$^{2} $)的先前测量值。鉴于与Y1数据相比,统计功率的增加,我们报告了使用大约3,600个从红色发光的红色星系样本中检测到的大约3,600个空隙的阴性CMB收敛($κ$)烙印的检测。但是,测得的信号低于基于$λ$ CDM模型的小鼠N体模拟(参数$ω_ {\ rm m} = 0.25 $,$σ_8= 0.8 $),并且差异主要与空隙中心区域相关联。考虑到完整的void镜头曲线,我们将振幅$a_κ=κ_ {\ rm des}/κ_ {\ rm小鼠} $适合具有固定形状的基于仿真的模板,并发现信号中的中等$2σ$偏差,具有$a_κ\近似a_κ\近似于$a_κ\近似pm0.79 \ pm0.12 $。我们还研究了基于Planck 2018 $λ$ CDM宇宙学的Websy模拟,但是鉴于物质密度波动略高于小鼠,结果的一致性甚至更低。然后,我们确定了DES和小鼠目录中的超级克鲁斯特人,并以$8.4σ$级别的水平检测到它们的烙印;同样,$a_κ= 0.84 \ pm0.10 $振幅。空隙和超级克洛特斯的组合产生了$10.3σ$检测,$a_κ= 0.82 \ pm0.08 $限制在CMB镜头幅度上,因此总体信号比小鼠预期的$2.3σ$弱。

The CMB lensing signal from cosmic voids and superclusters probes the growth of structure in the low-redshift cosmic web. In this analysis, we cross-correlated the Planck CMB lensing map with voids detected in the Dark Energy Survey Year 3 (Y3) data set ($\sim$5,000 deg$^{2}$), expanding on previous measurements that used Y1 catalogues ($\sim$1,300 deg$^{2}$). Given the increased statistical power compared to Y1 data, we report a $6.6σ$ detection of negative CMB convergence ($κ$) imprints using approximately 3,600 voids detected from a redMaGiC luminous red galaxy sample. However, the measured signal is lower than expected from the MICE N-body simulation that is based on the $Λ$CDM model (parameters $Ω_{\rm m} = 0.25$, $σ_8 = 0.8$), and the discrepancy is associated mostly with the void centre region. Considering the full void lensing profile, we fit an amplitude $A_κ=κ_{\rm DES}/κ_{\rm MICE}$ to a simulation-based template with fixed shape and found a moderate $2σ$ deviation in the signal with $A_κ\approx0.79\pm0.12$. We also examined the WebSky simulation that is based on a Planck 2018 $Λ$CDM cosmology, but the results were even less consistent given the slightly higher matter density fluctuations than in MICE. We then identified superclusters in the DES and the MICE catalogues, and detected their imprints at the $8.4σ$ level; again with a lower-than-expected $A_κ=0.84\pm0.10$ amplitude. The combination of voids and superclusters yields a $10.3σ$ detection with an $A_κ=0.82\pm0.08$ constraint on the CMB lensing amplitude, thus the overall signal is $2.3σ$ weaker than expected from MICE.

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