UED Reconstruction Programme — Reproducibility Package v1.0

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Authors: Sandeep J Chavan Sandeep J Chavan
Cited by: 6

Abstract

The UED Reconstruction Programme — Reproducibility Package v1.0 defines the common mathematical, computational, documentation, and validation infrastructure supporting Papers 1–20 and the Programme Synthesis of the UED Reconstruction Programme v1.0. The package introduces no new physical law and does not strengthen the scientific status of any published result. Its purpose is to make the programme sufficiently explicit for independent researchers to inspect assumptions, reproduce mathematical and numerical procedures, verify benchmark outputs, identify contradictions, compare alternative closures, and attempt falsification. The reproducibility architecture includes the programme variable, constant, equation, and dependency registries; dimensional-audit records; paper-specific reproduction instructions; parameter tables; numerical protocols; software and environment requirements; validation criteria; figure-generation procedures; datasets and computational outputs where applicable; licensing information; and version/change-control records. The package distinguishes analytical reproducibility from computational reproducibility. For primarily analytical papers, the published derivations, registered equations, dimensional checks, and dependency structure form the principal reproduction route. For computational or model-dependent papers—particularly Papers 15–20—the package additionally specifies numerical procedures, parameter sets, boundary conditions, tolerances, generated outputs, and validation targets. Reproducing a calculation establishes that a reported result follows from its declared assumptions and procedure; it does not by itself establish the underlying physical interpretation. The purpose of this package is therefore not to protect UED from criticism, but to make criticism, alternative closure, correction, and falsification technically actionable.

Fields of Study & Subjects

Mathematics Computing and Information Processing Scientific Computing and Data Management Research Data Management Practices

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
14 September 2026
Language
EN