cymyc -- Calabi-Yau Metrics, Yukawas, and Curvature

Per Berglund, Giorgi Butbaia, Tristan Hübsch, Vishnu Jejjala, Challenger Mishra +2 more
10/25/2024
hep-thcs.LGhep-ph

No official code found. Best implementation: Justin-Tan/cymyc (10 stars, MIT, last commit 2026-03-12).

Abstract

We introduce \texttt{cymyc}, a high-performance Python library for numerical investigation of the geometry of a large class of string compactification manifolds and their associated moduli spaces. We develop a well-defined geometric ansatz to numerically model tensor fields of arbitrary degree on a large class of Calabi-Yau manifolds. \texttt{cymyc} includes a machine learning component which incorporates this ansatz to model tensor fields of interest on these spaces by finding an approximate solution to the system of partial differential equations they should satisfy.

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Code Implementations(1)

Justin-Tan/cymycCommunity100%
MIT

String theory geometry toolkit

100PythonJul 19, 20247 months agoMIT
differential-geometryphysics

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Cite this paper

@article{berglund2024cymyc,
  title  = {cymyc -- Calabi-Yau Metrics, Yukawas, and Curvature},
  author = {Per Berglund and Giorgi Butbaia and Tristan Hübsch and Vishnu Jejjala and Challenger Mishra and Damián Mayorga Peña and Justin Tan},
  year   = {2024},
  eprint = {2410.19728},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2410.19728v1}
}

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