Use active learning to determine the bounded-from-below region in parameter space of a multiscalar potential in quantum field theory.
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Updated
Sep 21, 2023 - Python
Use active learning to determine the bounded-from-below region in parameter space of a multiscalar potential in quantum field theory.
Framework + runtime CLI para OCC/ILSC: un “compilador” operacional que ejecuta módulos reproducibles (inputs YAML/JSON) y emite veredictos PASS/FAIL con witnesses/certificados auditables. Incluye el compendio canónico en PDF y el CLI para correr demos mínimos (MRD) de forma determinista y trazable.
Modified gravity framework exploring coherence-field coupling (ξRΦ²), curvature-EM coupling (κ_R RF²), and BSM parameter space (dark photon, axion). Validated 3D solver, null-result constraints, tabletop feasibility analysis.
Python & web data interface for connection interactions of the strong force and beyond to experiments.
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