11 citations · 13 across the 5 of their papers we have counts for
5 papers
Towards Beyond Standard Model Model-Building with Reinforcement Learning on Graphs
George N. Wojcik, Shu Tian Eu, Lisa L. Everett
We provide a framework for exploring physics beyond the Standard Model with reinforcement learning using graph representations of new physics theories. The graph structure allows f…
Graph Reinforcement Learning for Exploring BSM Model Spaces
George N. Wojcik, Shu Tian Eu, Lisa L. Everett
We present a methodology for performing scans of BSM parameter spaces with reinforcement learning (RL). We identify a novel procedure using graph neural networks that is capable of…
Lepton Flavor Portal Matter
George N. Wojcik, Lisa L. Everett, Shu Tian Eu +1
The paradigm of portal matter represents a well-motivated extension to models with kinetic mixing/vector portal dark matter. In previous work, we constructed a simple leptonic port…
Portal Matter, Kinetic Mixing, and Muon
George N. Wojcik, Lisa L. Everett, Shu Tian Eu +1
We present a minimal construction using leptonic portal matter that addresses the muon anomaly. While the chiral enhancement mechanism is reminiscent of that of fermiophobic…
Flavored Gauge-Mediated Supersymmetry Breaking Models with Discrete Non-Abelian Symmetries
Shu Tian Eu, Lisa L. Everett, Todd Garon +1
We investigate flavored gauge mediation models in which the Higgs and messenger doublets are embedded in multiplets of the discrete non-Abelian symmetry S3. In these theories, the…