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

Fuente: arXiv
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Autori principali: Berglund, Per, Butbaia, Giorgi, Hübsch, Tristan, Jejjala, Vishnu, Mishra, Challenger, Peña, Damián Mayorga, Tan, Justin
Natura: Preprint
Pubblicazione: 2024
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author Berglund, Per
Butbaia, Giorgi
Hübsch, Tristan
Jejjala, Vishnu
Mishra, Challenger
Peña, Damián Mayorga
Tan, Justin
author_facet Berglund, Per
Butbaia, Giorgi
Hübsch, Tristan
Jejjala, Vishnu
Mishra, Challenger
Peña, Damián Mayorga
Tan, Justin
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2410_19728
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle cymyc -- Calabi-Yau Metrics, Yukawas, and Curvature
Berglund, Per
Butbaia, Giorgi
Hübsch, Tristan
Jejjala, Vishnu
Mishra, Challenger
Peña, Damián Mayorga
Tan, Justin
High Energy Physics - Theory
Machine Learning
High Energy Physics - Phenomenology
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.
title cymyc -- Calabi-Yau Metrics, Yukawas, and Curvature
topic High Energy Physics - Theory
Machine Learning
High Energy Physics - Phenomenology
url https://arxiv.org/abs/2410.19728