Machine learning optimization of a generalized SU(5) parameter y finds y ≈ 0.8 produces the closest match to the original model while resolving the fermion mass discrepancy.
WhileH 5 in (4) was the complex conjugate ofH 5 in the nonsupersymmetric scenario, hereH 5 is (the bosonic part of) a separate chiral supermultiplet
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Good flavor search in SU(5): a machine learning approach
Machine learning optimization of a generalized SU(5) parameter y finds y ≈ 0.8 produces the closest match to the original model while resolving the fermion mass discrepancy.