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arXiv 2303.08095astro-ph.CO
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Cosmoglobe DR1结果。I. 通过贝叶斯端到端分析改进的威尔金森微波各向异性探测器(WMAP)地图

Cosmoglobe DR1 results. I. Improved Wilkinson Microwave Anisotropy Probe maps through Bayesian end-to-end analysis

D. J. Watts, A. Basyrov, J. R. Eskilt, M. Galloway, L. T. Hergt, D. Herman, H. T. Ihle, S. Paradiso, F. Rahman, H. Thommesen, R. Aurlien, M. Bersanelli, L. A. B… 展开作者

D. J. Watts, A. Basyrov, J. R. Eskilt, M. Galloway, L. T. Hergt, D. Herman, H. T. Ihle, S. Paradiso, F. Rahman, H. Thommesen, R. Aurlien, M. Bersanelli, L. A. Bianchi, M. Brilenkov, L. P. L. Colombo, H. K. Eriksen, C. Franceschet, U. Fuskeland, E. Gjerløw, B. Hensley, G. A. Hoerning, K. Lee, J. G. S. Lunde, A. Marins, S. K. Nerval, S. K. Patel, M. Regnier, M. San, S. Sanyal, N. -O. Stutzer, A. Verma, I. K. Wehus, Y. Zhou

AI总结:

该研究在单一贝叶斯端到端框架内首次联合分析WMAP和Planck LFI数据,通过Gibbs采样生成改进的CMB天图,发现其结果与官方高度一致且偏振残差更低,并解决了W波段与K波段的历史差异。

摘要:

我们发布了Cosmoglobe数据释放1(Data Release 1),它在单个贝叶斯端到端框架内实现了WMAP和Planck LFI时序数据的首次联合分析。该框架直接建立在BeyondPlanck合作团队对LFI测量数据的类似分析基础之上,并通过全局后验分布的Gibbs采样来解决CMB分析挑战,同时兼顾了校准、成图和成分分离。生成一个完整的WMAP+LFI Gibbs样本的计算成本为812 CPU小时,其中603 CPU小时用于WMAP低层处理;这表明对WMAP数据进行端到端贝叶斯分析在计算上是可行的。我们发现,我们的WMAP后验平均温度天图和CMB温度功率谱与官方WMAP9结果在很大程度上是一致的。或许最显著的区别在于,我们的CMB偶极振幅为$3366.2 \pm 1.4\\ \mathrm{μK}$,比WMAP9的估计值高$11\\ \mathrm{μK}$,比BeyondPlanck高$2.5\\ σ$;然而,它与由HFI主导的Planck PR4结果完全一致。相比之下,我们的WMAP偏振天图与WMAP9结果的差异更为显著,并且通常表现出明显更低的大尺度残差。我们将此归因于约束更好的增益和传输不平衡模型。特别值得注意的是,被官方WMAP宇宙学分析排除在外的W波段偏振天图,首次在视觉上与V波段天图表现出一致性。同样,WMAP K波段和LFI 30 GHz天图之间长期存在的差异最终得到解决,两者之间的差异在高银纬处表现为与仪器噪声一致。所有天图和相关代码均通过Cosmoglobe网页公开发布。

英文摘要:

We present Cosmoglobe Data Release 1, which implements the first joint analysis of WMAP and Planck LFI time-ordered data, processed within a single Bayesian end-to-end framework. This framework builds directly on a similar analysis of the LFI measurements by the BeyondPlanck collaboration, and approaches the CMB analysis challenge through Gibbs sampling of a global posterior distribution, simultaneously accounting for calibration, mapmaking, and component separation. The computational cost of producing one complete WMAP+LFI Gibbs sample is 812 CPU-hr, of which 603 CPU-hrs are spent on WMAP low-level processing; this demonstrates that end-to-end Bayesian analysis of the WMAP data is computationally feasible. We find that our WMAP posterior mean temperature sky maps and CMB temperature power spectrum are largely consistent with the official WMAP9 results. Perhaps the most notable difference is that our CMB dipole amplitude is $3366.2 \pm 1.4\ \mathrm{μK}$, which is $11\ \mathrm{μK}$ higher than the WMAP9 estimate and $2.5\ σ$ higher than BeyondPlanck; however, it is in perfect agreement with the HFI-dominated Planck PR4 result. In contrast, our WMAP polarization maps differ more notably from the WMAP9 results, and in general exhibit significantly lower large-scale residuals. We attribute this to a better constrained gain and transmission imbalance model. It is particularly noteworthy that the W-band polarization sky map, which was excluded from the official WMAP cosmological analysis, for the first time appears visually consistent with the V-band sky map. Similarly, the long standing discrepancy between the WMAP K-band and LFI 30 GHz maps is finally resolved, and the difference between the two maps appears consistent with instrumental noise at high Galactic latitudes. All maps and the associated code are made publicly available through the Cosmoglobe web page.

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