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

Autor:	Berglund, Per, Butbaia, Giorgi, Hübsch, Tristan, Jejjala, Vishnu, Mishra, Challenger, Peña, Damián Mayorga, Tan, Justin
Rok vydání:	2024
Předmět:	High Energy Physics - Theory Computer Science - Machine Learning High Energy Physics - Phenomenology
Druh dokumentu:	Working Paper
Popis:	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. Comment: 35 pages, 12 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2410.19728 Zobrazit plný text záznamu View this record from Arxiv