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arXiv 2201.03509astro-ph.CO
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BeyondPlanck III。Commander3

BeyondPlanck III. Commander3

M. Galloway, K. J. Andersen, R. Aurlien, R. Banerji, M. Bersanelli, S. Bertocco, M. Brilenkov, M. Carbone, L. P. L. Colombo, H. K. Eriksen, M. K. Foss, C. Franc… 展开作者

M. Galloway, K. J. Andersen, R. Aurlien, R. Banerji, M. Bersanelli, S. Bertocco, M. Brilenkov, M. Carbone, L. P. L. Colombo, H. K. Eriksen, M. K. Foss, C. Franceschet, U. Fuskeland, S. Galeotta, S. Gerakakis, E. Gjerløw, B. Hensley, D. Herman, M. Iacobellis, M. Ieronymaki, H. T. Ihle, J. B. Jewell, A. Karakci, E. Keihänen, R. Keskitalo, G. Maggio, D. Maino, M. Maris, S. Paradiso, B. Partridge, M. Reinecke, A. -S. Suur-Uski, T. L. Svalheim, D. Tavagnacco, H. Thommesen, D. J. Watts, I. K. Wehus, A. Zacchei

摘要:

我们描述了端到端的贝叶斯CMB分析的计算基础设施实施的BeyondPlanck协作。这段代码被称为commander3,它为CMB和微波观测的全球分析提供了一个统计上一致的框架,可能对广泛的传统、当前和未来的实验有用。该文件有三个主要目标。首先,我们提供了现有代码库的高级概述,旨在指导希望根据自己的需求扩展和调整代码的读者,或者从头开始用不同的编程语言重新实现它。其次,我们讨论了任何全局CMB分析框架中出现的一些关键计算挑战,例如时间排序数据的内存压缩,FFT优化以及并行化和负载平衡。第三,我们量化了当前BeyondPlanck分析的CPU和RAM需求,发现高效分析总共需要1.5 TB的RAM,完整Gibbs样本的总成本为170 CPU小时,包括低级处理和高级组件分离,这完全在当前低成本计算设施的能力范围内。现有的代码库在GNU通用公共图书馆(GPL)许可证下公开提供。

英文摘要:

We describe the computational infrastructure for end-to-end Bayesian CMB analysis implemented by the BeyondPlanck collaboration. This code is called commander3, and provides a statistically consistent framework for global analysis of CMB and microwave observations, and may be useful for a wide range of legacy, current, and future experiments. The paper has three main goals. Firstly, we provide a high-level overview of the existing code base, aiming to guide readers who wish to extend and adapt the code according to their own needs, or to reimplement it from scratch in a different programming language. Secondly, we discuss some critical computational challenges that arise within any global CMB analysis framework, for instance in-memory compression of time-ordered data, FFT optimization, and parallelization and load-balancing. Thirdly, we quantify the CPU and RAM requirements for the current BeyondPlanck analysis, and find that a total of 1.5 TB of RAM is required for efficient analysis, and the total cost of a full Gibbs sample is 170 CPU-hrs, including both low-level processing and high-level component separation, which is well within the capabilities of current low-cost computing facilities. The existing code base is made publicly available under a GNU General Public Library (GPL) license.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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