Coh Miyao

activity

20222026

most citedExploring the flavor structure of quarks and leptons with reinforcement learning

10 citations · 21 across the 5 of their papers we have counts for

collaborators

Showing 2024Show all

2 papers · 1 filter

hep-ph2024★ 4 cited

Reinforcement learning-based statistical search strategy for an axion model from flavor

Satsuki Nishimura, Coh Miyao, Hajime Otsuka

We propose a reinforcement learning-based search strategy to explore new physics beyond the Standard Model. The reinforcement learning, which is one of machine learning methods, is…

hep-ph2024★ 1 cited

New Constraints on Gauged U(1) $_{L_{μ} - L_{τ}}$ Models via $Z - Z^{'}$ Mixing

Kento Asai, Coh Miyao, Shohei Okawa +1

It is known that the model based on U(1) $_{L_{μ} - L_{τ}}$ gauge symmetry can explain not only the discrepancy between the measured value of muon $g - 2$ and the theoretical prediction, bu…

Reinforcement learning-based statistical search strategy for an axion model from flavor

New Constraints on Gauged U(1)Lμ​−Lτ​​ Models via Z−Z′ Mixing

New Constraints on Gauged U(1) $_{L_{μ} - L_{τ}}$ Models via $Z - Z^{'}$ Mixing