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arXiv · 2003.01732

Predicting the orbifold origin of the MSSM

Erik Parr·Patrick K. S. Vaudrevange·Martin Wimmer
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Abstract

MSSM-like string models from the compactification of the heterotic string on toroidal orbifolds (of the kind $T^6/P$) have distinct phenomenological properties, like the spectrum of vector-like exotics, the scale of supersymmetry breaking, and the existence of non-Abelian flavor symmetries. We show that these characteristics depend crucially on the choice of the underlying orbifold point group $P$. In detail, we use boosted decision trees to predict $P$ from phenomenological properties of MSSM-like orbifold models. As this works astonishingly well, we can utilize machine learning to predict the orbifold origin of the MSSM.

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Erik Parr, Patrick K. S. Vaudrevange, Martin Wimmer. 2020-03-03. Predicting the orbifold origin of the MSSM. https://doi.org/10.1002/prop.202000032

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