Branch-Aware Phase-to-Bearing Diagnostics in an Idealized Helical DAS Phase Array: Data and Code

Data and code supporting a simulation-based, task-specific study of branch-aware phase-to-bearing diagnostics in a locked idealized helical distributed acoustic sensing (DAS) and normalized-MUSIC pipeline. The deposit contains source code, tests, locked configurations, trained checkpoints, record-level E7/E8 outputs, registered primary evidence, derived summaries, analysis scripts, run manifests, and SHA-256 integrity records. The evidence is bounded to the deposited simulator, mismatch profiles, initialization seeds, checkpoints, and evaluation chain. It is not an experimental DAS dataset and does not establish deployment-level robustness or portable hardware performance.