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arXiv 1812.06960hep-thastro-ph.COhep-phmath.AT
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字符串拓扑数据分析

Topological Data Analysis for the String Landscape

Alex Cole, Gary Shiu

摘要:

持久同源通过使用离散复合体的序列来计算数据集的多尺度拓扑。在本文中,我们提出持久同调可能是一个有用的工具,研究弦真空景观的结构。作为该程序的缩小版本,我们使用持久同调来表征模空间上的IIB型通量真空的分布:刚性Calabi-Yau,加权射影空间中的超曲面和对称六环面$T^6=(T^2)^3$。这些例子表明,持久性配对和多参数持久性包含有用的信息表征的景观,除了通常的信息包含在标准的持久性同源。我们还研究了如何限制到特殊真空现象有趣的低能量特性影响的拓扑分布。

英文摘要:

Persistent homology computes the multiscale topology of a data set by using a sequence of discrete complexes. In this paper, we propose that persistent homology may be a useful tool for studying the structure of the landscape of string vacua. As a scaled-down version of the program, we use persistent homology to characterize distributions of Type IIB flux vacua on moduli space for three examples: the rigid Calabi-Yau, a hypersurface in weighted projective space, and the symmetric six-torus $T^6=(T^2)^3$. These examples suggest that persistence pairing and multiparameter persistence contain useful information for characterization of the landscape in addition to the usual information contained in standard persistent homology. We also study how restricting to special vacua with phenomenologically interesting low-energy properties affects the topology of a distribution.

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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