Machine learning string standard models
We study machine learning of phenomenologically relevant properties of string compactifications, which arise in the context of heterotic line bundle models. Both supervised and unsupervised learning are considered. We find that, for a fixed compactification manifold, relatively small neural networks...
| Main Authors: | , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
American Physical Society
2022
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