Author: Dr. L. Vardien Askel Status: Open Research Draft Contact: [email protected]
This repository presents a theoretical–experimental framework for studying time as an active field capable of sustaining energy persistence, even in scenarios of minimal or absent material support. The framework defines temporal structures, energy modes, flows, and patterns that are measurable, persistent, and reproducible across different simulation platforms, while integrating multiscale correlations, sensitivity analyses, and predictive modeling.
The goal is to provide a unified, auditable approach for exploring energy persistence driven by temporal dynamics, cross-platform validation, and operational extrapolation, while remaining accessible to scientific collaborators.
- /text/ — Conceptual manuscript detailing theoretical definitions, operational guidelines, and model structures related to operative time and energy persistence.
- /simulations/ — Guidelines for multiscale simulations, temporal operators, predictive kernels, and persistence analyses.
- /experiments/ — Framework for experimental validation within current technological limits, including reproducibility criteria and cross-platform comparison.
- /examples/ — Sample simulations and illustrative persistence predictions.
Each component emphasizes transparency, verification, and methodological clarity.
- Definition and measurement of energy persistence modes driven by temporal structures.
- Quantitative criteria to distinguish persistent temporal energy from transient or spurious effects.
- Bayesian ensembles and statistical reconstruction of temporal energy patterns.
- Predictive kernels with cross-validation, noise filtering, and robustness tests.
- Modular, auditable framework supporting reproducibility and verification.
Protocols and structures ensure replicability across independent simulation and laboratory environments:
- Standardized data formats, metadata, and conceptual vectors.
- Statistical criteria for significance, error control, and signal-to-noise validation.
- Pre-simulation pipelines for model validation prior to experimental implementation.
- Guidelines for documenting results and reporting reproducibility metrics.
This repository is intended for academic, educational, and collaborative research purposes. Specific simulation parameters, temporal kernel configurations, and experimental procedures are intentionally abstracted for confidentiality and safety.
If you use or discuss this work, please cite it as:
Askel, L. V. (2025). Operative Time and Persistent Energy. GitHub Repository.
This repository is a living draft. Contributions, critiques, and replication attempts from independent research groups are welcome. All operational parameters, temporal mode definitions, and sensitive experimental procedures are intentionally withheld in this public version to protect research integrity.
For technical questions, replication reports, or collaboration inquiries: [email protected]