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, Wang, Yinan |
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Other Authors: | Massachusetts Institute of Technology. Center for Theoretical Physics |
Format: | Article |
Language: | English |
Published: |
Springer Berlin Heidelberg
2018
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Online Access: | http://hdl.handle.net/1721.1/117358 https://orcid.org/0000-0001-7418-1519 |
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