cymyc: Calabi-Yau Metrics, Yukawas, and Curvature
A bstract We introduce 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. 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.
Authors
- Vishnu Jejjala (ORCID: https://orcid.org/0000-0003-2603-6717)
- Damián Kaloni Mayorga Peña (ORCID: https://orcid.org/0000-0003-4364-4650)
- Tristan Hübsch (ORCID: https://orcid.org/0000-0003-2026-7813)
- Giorgi Butbaia (ORCID: https://orcid.org/0009-0007-8041-0147)
- Challenger Mishra (ORCID: https://orcid.org/0000-0001-7920-0897)
- Per Berglund (ORCID: https://orcid.org/0000-0003-1675-4133)
- J. A. Tan
Institutions
- Howard University (US)
- University of Lisbon (PT)
- University of New Hampshire (US)
- University of New Hampshire at Manchester (US)
- University of the Witwatersrand (ZA)
- Universidade Politécnica de Lisboa (PT)
- University of Cambridge (GB)
- National Institute for Theoretical Physics (ZA)
Publication Details
- Journal
- Journal of High Energy Physics
- Published
- 2025-03-05
- DOI
- https://doi.org/10.1007/jhep03(2025)028
- Citations
- 1
- Primary Topic
- Black Holes and Theoretical Physics
- Type
- article
- Field-Weighted Citation Impact
- 1.87