Learning non-Higgsable gauge groups in 4D F-theory
We apply machine learning techniques to solve a specific classification problem in 4D F-theory. For a divisor D on a given complex threefold base, we want to read out the non-Higgsable gauge group on it using local geometric information near D. The input features are the triple intersection numbers...
Main Authors: | Zhang, Zhibai (Author), Wang, Yinan (Contributor) |
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Other Authors: | Massachusetts Institute of Technology. Center for Theoretical Physics (Contributor), Massachusetts Institute of Technology. Department of Physics (Contributor) |
Format: | Article |
Language: | English |
Published: |
Springer Berlin Heidelberg,
2018-08-14T17:23:27Z.
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Subjects: | |
Online Access: | Get fulltext |
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