Phase Transitions of a Nonlinear Wave Field (Season 1) — Reproducibility Package v2.0.0

SEASON 1 — Nonlinear Wave Field (reproducibility package) This dataset accompanies a study of a nonlinear wave field exhibiting two lineshape regimes within a single system: a low-band regime with Fano-like asymmetry and high-Q characteristics, and a high-band regime with Lorentz-like symmetrization and a lower Q. We quantify the competition between Fano and Lorentz via the ΔBIC metric, trace the ΔBIC=0 transition, enforce Kramers–Kronig consistency (minimum-phase reconstruction), and use a censored −3 dB rule together with step↔FRF cross-validation to ensure physically consistent fits. What’s new in this version (reproducibility update) This version focuses on making reproduction straightforward and auditable. Core science and numeric results are unchanged; the update aligns packaging, documentation, and integrity checks. Canonical mapping unified: docs/README_MANUSCRIPT.txt is the single, canonical figure/table map used by the pipeline. README aligned with actual paths: commands and folders match the archive layout; no external repositories are required. Minimal environment added: env/requirements.txt (small dependency set) for quick, no-heavy-simulation runs. Licensing clarified: single LICENSE file covering MIT (code) and CC BY 4.0 (data). Citation metadata updated: CITATION.cff now includes DOI 10.5281/zenodo.17022054 and the current release date. Provenance consolidated: a single canonical checksum file provenance/FINAL_manifest_SHA256.txt (duplicates removed/retired). Convenience bundle: SE1_quick_bundle_ALLINONE.zip is included for one-shot reproduction (paths remain unchanged). Note: The computational pipeline and figure outputs are the same; the execution interface is clarified (explicit --map in preflight/save), and the archive structure is harmonized to avoid path ambiguity. No heavy simulations are required. Contents Inputs: consolidated, ready for the pipeline. Code: lightweight scripts to reproduce all figures/tables without heavy simulation(BRIDGE_PROVIDED_CSVS.py → PREFLIGHT_CHECK.py → SAVE_WISHLIST_RUNNER.py) plus a one-cell harness. Per-figure source data: CSVs for all main figures/tables. Provenance & integrity: canonical SHA-256 manifest and run metadata. Documentation: top-level README and the canonical figure/table map. How to reproduce (three steps) BRIDGE — organize provided CSVs into standard locations. PREFLIGHT — validate structure and mapping (--map docs/README_MANUSCRIPT.txt). SAVE — export per-figure sources to outputs/core (or a specified output folder). The same flow is wrapped by a single-cell harness for convenience. No external repositories are required. Key findings (scientific highlights) ΔBIC-based lineshape competition (Fano vs. Lorentz) and mapping of the transition where ΔBIC=0. Kramers–Kronig consistency checks (minimum-phase amplitude→phase reconstruction). Censored −3 dB rule for robust Q-reporting in windows lacking clear crossing. Step↔FRF cross-validation and ablations on weighting, baselines, and windowing. Integrity & versioning Checksums: see provenance/FINAL_manifest_SHA256.txt for file-level SHA-256 digests. Version policy: scientific results are stable; packaging/documentation may evolve to improve clarity and reproducibility. Reproducibility target: quick, no-heavy-simulation runs on common Linux/Colab environments using the minimal requirements file. Licensing and citation Code: MIT License. Data: CC BY 4.0. Citation (CFF included): please cite this record: 10.5281/zenodo.17022054.