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Machine Learning and Algebraic Approaches towards Complete Matter Spectra in 4d F-theory
Motivated by engineering vector-like (Higgs) pairs in the spectrum of 4d F-theory compactifications, we combine machine learning and algebraic geometry techniques to analyze line bundle cohomologies on families of holomorphic curves. To quantify jumps of these cohomologies, we first generate 1.8 mil...
| Autores principales: | , , , , , |
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| Lenguaje: | eng |
| Publicado: |
2020
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1007/JHEP01(2021)196 http://cds.cern.ch/record/2722689 |