Back to publications
cymyc -- Calabi-Yau Metrics, Yukawas, and Curvature
Paper Details
Published: 2024/10/25
ARXIV ID: abs/2410.19728v1
The authors introduce a high-performance Python library written in Jax for numerical investigation of the geometry of a large class of Calabi-Yau manifolds and their associated moduli spaces. The authors develop a well-defined geometric ansatz to numerically model tensor fields of arbitrary degree, considered as sections of the tensor bundle, on this class of Calabi–Yau manifolds. This library includes a machine learning component which incorporates this ansatz to compute tensor fields of interest on these spaces by finding an approximate solution to the system of partial differential equations they should satisfy.
Authors
Justin Tan
Cambridge University
PhD Student
Challenger Mishra
Cambridge University
Departmental Early Career Academic Fellow, Accelerate Programme