https://github.com/alifayyazmalik/tfm-paper16-entropy-spacetime-scaffolding
Codebase for Paper #16: Entropy-driven cosmic expansion, black hole ringdown distortions, and CMB anomalies in the Time Field Model.
https://github.com/alifayyazmalik/tfm-paper16-entropy-spacetime-scaffolding
Science Score: 36.0%
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Repository
Codebase for Paper #16: Entropy-driven cosmic expansion, black hole ringdown distortions, and CMB anomalies in the Time Field Model.
Basic Info
- Host: GitHub
- Owner: alifayyazmalik
- License: mit
- Language: Python
- Default Branch: main
- Size: 0 Bytes
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Metadata Files
README.md
Time Field Model (TFM) - Paper #16: Entropy and the Scaffolding of Time
Repository for "Entropy and the Scaffolding of Time: Decoherence, Cosmic Webs, and the Woven Tapestry of Spacetime"
(Paper #16 in the TFM Series)
Table of Contents
- Key Features
- Quick Start
- Repository Structure
- Validation Guides
- Dependencies
- Contributing
- Citation
- License
Key Features
Codebase to reproduce results from Paper #16:
1. Entropy-Driven Cosmic Expansion
- Modified Hubble diagrams with TFM corrections.
2. Black Hole Ringdown Distortions
- Waveform generators for LIGO/Virgo comparisons.
3. CMB Non-Gaussian Anomalies
- Simulate high-ℓ CMB signatures from micro-Big Bangs.
4. Logistic Entropy Growth Model
- Quantum-to-classical entropy transition (Eq. 3).
Quick Start
1. Install Dependencies
bash
pip install -r requirements.txt # numpy, scipy, astropy, healpy, h5py
2. Run Simulations
Black Hole Entropy Corrections (M87 Example):
bash
python entropy_simulations/blackhole_entropy.py --mass 6.5e9
Supernova Hubble Deviations (z=0.7):
bash
python supernova_hubble/hubble_deviation.py --redshift 0.7
CMB Non-Gaussianity Estimator:
bash
python cmb_analysis/non_gaussianity.py --map data/cmb_tfm_simulated.fits
Repository Structure
plaintext
tfm-paper16-entropy-spacetime-scaffolding/
├── entropy_simulations/ # Entropy growth models + black hole code
│ ├── blackhole_entropy.py
│ └── logistic_entropy.py
├── cmb_analysis/ # CMB non-Gaussianity tools
│ ├── non_gaussianity.py
│ └── peak_statistics.py
├── supernova_hubble/ # Hubble diagram deviation calculator
│ └── hubble_deviation.py
├── data/ # Precomputed datasets
│ ├── blackhole_ringdowns.h5 # BH waveforms (TFM vs GR)
│ ├── cmb_tfm_simulated.fits # Simulated CMB map
│ └── snia_catalog.csv # Sample SN Ia data
├── docs/ # Validation guides
│ ├── ligo_validation.md
│ └── cmb_validation.md
├── requirements.txt # Python dependencies
├── CITATION.cff # Citation metadata
└── README.md
Validation Guides
Reproduce observational comparisons from the paper:
1. LIGO/Virgo Ringdown Analysis
```bash
Download GWTC-3 catalog
wget https://gwosc.org/eventapi/json/GWTC-3/
Compare TFM predictions for GW150914
python entropysimulations/ringdownanalysis.py \
--event GW150914 \
--tfmmodel data/blackholeringdowns.h5
```
2. Planck CMB Anomalies
bash
python cmb_analysis/non_gaussianity.py \
--map data/cmb_tfm_simulated.fits \
--planck_data data/planck2018_smica.fits
3. Supernova Hubble Diagram
bash
python supernova_hubble/hubble_deviation.py \
--catalog data/snia_catalog.csv \
--output hubble_deviation.png
Dependencies
- Python 3.8+
- Core Packages: numpy, scipy, astropy, h5py, healpy
- Optional: matplotlib (plotting), pandas (SN Ia data parsing)
Contributing
- Fork the repository.
- Create a branch:
bash git checkout -b feature/your-idea - Commit changes:
bash git commit -m "Add your feature" - Push to the branch:
bash git push origin feature/your-idea - Submit a pull request.
Citation
If you use this code or datasets, cite:
bibtex
@article{Malik2025_TFM16,
author = {Malik, Ali Fayyaz},
title = {Entropy and the Scaffolding of Time: Decoherence, Cosmic Webs, and the Woven Tapestry of Spacetime},
year = {2025},
url = {https://github.com/alifayyazmalik/tfm-paper16-entropy-spacetime-scaffolding}
}
License
This project is licensed under the MIT License - see LICENSE for details.
Note: Replace DOI/10.5281/zenodo.XXXXXXX with your actual Zenodo DOI after publishing the repository.
Owner
- Login: alifayyazmalik
- Kind: user
- Repositories: 1
- Profile: https://github.com/alifayyazmalik
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