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Heterotic string model building with monad bundles and reinforcement learning

Abstract:

We use reinforcement learning as a means of constructing string compactifications with prescribed properties. Specifically, we study heterotic SO(10) GUT models on Calabi-Yau three-folds with monad bundles, in search of phenomenologically promising examples. Due to the vast number of bundles and the sparseness of viable choices, methods based on systematic scanning are not suitable for this class of models. By focusing on two specific manifolds with Picard numbers two and three, we show that ...

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Publication status:
Published

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Publication website:
https://arxiv.org/abs/2108.07316

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Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Sub department:
Theoretical Physics
Oxford college:
Balliol College
Role:
Author
ORCID:
0000-0003-4969-0447
Publication date:
2021-08-16
Language:
English
Keywords:
Pubs id:
1211328
Local pid:
pubs:1211328
Deposit date:
2022-02-02

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