Deep learning and k-means clustering in heterotic string vacua with line bundles

Deep learning and k-means clustering in heterotic string vacua with line bundles

Abstract We apply deep-learning techniques to the string landscape, in particular, SO(32) heterotic string theory on simply-connected Calabi-Yau threefolds with line bundles. It turns out that three-generation models cluster in particular islands specified by deep autoencoder networks and k-means++...

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Bibliographic Details
Main Authors: Hajime Otsuka, Kenta Takemoto
Format: Article
Language:English
Published: SpringerOpen 2020-05-01
Series:Journal of High Energy Physics
Subjects:
Superstring Vacua
Superstrings and Heterotic Strings
Online Access:http://link.springer.com/article/10.1007/JHEP05(2020)047

Internet

http://link.springer.com/article/10.1007/JHEP05(2020)047

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