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Self‑Instantiated Stress–Energy: Initial Modeling Release – v4.0.6

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@morozow morozow released this 14 Oct 22:25
· 17 commits to main since this release
v4.0.6
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v4.0.6 – Initial Research Release

This first release provides a self-contained Python module for exploring a closed-system cosmology where stress–energy emerges dynamically from decoherence. It includes background evolution, freeze-out mapping, primordial spectra, diagnostics, and publication-grade plots.

Key capabilities

  • Computes H(N), ε_H(N), conformal time, and entanglement-fluid dynamics with a validated w_ent model.
  • Robust freeze-out root finding for c_s k = aH with windowed k-band selection.
  • Scalar and tensor power spectra with occupancy-enhanced amplitudes and finite-time ring-down.
  • Amplitude calibration to As at the Planck pivot while preserving r-invariance.
  • Diagnostics: conservation residuals, stability via z^2, generalized consistency r/(-8 n_t), n_s - 1.
  • Reproducible figure generation saved to experimental_data/plots.

Reproducibility and responsibility notes

  • Deterministic numerics with explicit parameterization and windowed k-range ensure unique, physical roots.
  • Semi-classical bound enforced: H_*/M_pl < 1e-2 (assertion halts runs that violate applicability).
  • Applicability conditions surfaced via diagnostics; users should verify small |η_H| at freeze-out for selected modes.
  • Results are model-dependent and intended for research; interpret within the stated assumptions only.

Getting started

  • Requirements: Python >= 3.8; NumPy >= 2.3.3; Matplotlib >= 3.10.7.
  • Install: pip install . in a fresh virtual environment.
  • Run: python -m src.analysis to produce datasets and plots.

Citations and use

  • If you use this module, cite the associated manuscript "Self-Instantiated Stress–Energy: A Predictive Framework for Matter and Metric in Closed-System Cosmology".
  • Please include the version tag v4.0.6 in your methods for traceability.

Known limitations

  • Single-fluid entanglement sector and constant c_s for scalars; extensions may require revisiting stability and calibration.
  • Numerical derivatives use finite stencils; extreme parameter choices may require higher resolution.

License and contributions

  • Released for academic research. Open issues and pull requests are welcome with clear numerical tests and reproducibility notes.

Changelog

  • Added: background solver, freeze-out mapping, spectra with occupancy and ring-down, amplitude calibration, diagnostics suite, plotting pipeline.
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