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arXiv 2304.03643astro-ph.IMastro-ph.CO
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Triumvirate:一款用于三点聚类测量的Python/C++程序包

Triumvirate: A Python/C++ package for three-point clustering measurements

Mike Shengbo Wang, Florian Beutler, Naonori S. Sugiyama

AI总结:

本研究推出Python/C++程序包Triumvirate,基于hitomi代码算法实现三极球谐分解下的三点聚类统计量高效测量,附带友好界面与两点统计测量功能,可服务于宇宙学模型检验。

摘要:

Triumvirate是一款用于大尺度结构(LSS)宇宙学分析中三点聚类统计量测量的Python/C++程序包。给定一份带有空间坐标的离散粒子(如星系)星表,它可计算三点相关函数多极矩的估计量——三点相关函数在傅里叶空间也被称为双谱,计算采用Sugiyama等人(2019)提出的三极球谐(TripoSH)分解方法。Triumvirate的目标是提供高效的端到端聚类统计量测量,其结果可输入下游星系巡天分析,用于约束和检验宇宙学模型。为此,它基于Sugiyama等人(2018、2019)开发的hitomi代码中的原始算法构建,提供了用户友好的界面,支持星表数据与测量结果的灵活输入/输出(I/O),编译后的程序可通过外部参数文件配置,并通过增强的日志记录与警告/异常处理进行追踪。为保证完整性与互补性,该程序包还包含两点聚类统计量的测量方法。

英文摘要:

Triumvirate is a Python/C++ package for measuring the three-point clustering statistics in large-scale structure (LSS) cosmological analyses. Given a catalogue of discrete particles (such as galaxies) with their spatial coordinates, it computes estimators of the multipoles of the three-point correlation function, also known as the bispectrum in Fourier space, in the tri-polar spherical harmonic (TripoSH) decomposition proposed by Sugiyama et al. (2019). The objective of Triumvirate is to provide efficient end-to-end measurement of clustering statistics which can be fed into downstream galaxy survey analyses to constrain and test cosmological models. To this end, it builds upon the original algorithms in the hitomi code developed by Sugiyama et al. (2018, 2019), and supplies a user-friendly interface with flexible input/output (I/O) of catalogue data and measurement results, with the built program configurable through external parameter files and tracked through enhanced logging and warning/exception handling. For completeness and complementarity, methods for measuring two-point clustering statistics are also included in the package.

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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