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Fully reproducible cosmology pipeline testing a Siamese Interference Dark Sector via three independent falsification probes (Hubble expansion, effective equation-of-state, interference entropy). Current model over-accelerates the Universe; future Study II will test inverted interference toward cosmic deceleration.

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Testing a Siamese Interference Dark Sector with Triple Cosmological Falsification

Authors: Cosmic Thinker & ChatGPT ("Toko")
Year: 2025
DOI: https://doi.org/10.5281/zenodo.17685410


Overview

This repository contains the full reproducible pipeline associated with the preprint
“Testing a Siamese Interference Dark Sector with Triple Cosmological Falsification.”

The project presents the first complete theoretical study of Siamese Interference Cosmology, an alternative to ΛCDM in which Dark Energy emerges as an interference effect between two CPT-symmetric branches of the Universe.

The model is implemented through a PNGB scalar field and evaluated using strict Popperian falsification:
no late-time parameters are fitted to observational data.


Cosmological Tests Included

Test Observable Outcome
Expansion History (H(z)) vs BAO + Cosmic Chronometers The tested realisation over-accelerates the Universe
Effective Equation of State (w_{\mathrm{eff}}(z)) (w_{\mathrm{eff}}(0) \approx -0.7), in tension with (w \approx -1)
Siamese Interference Entropy (S_{\mathrm{local}}) and (dS_{\mathrm{local}}/dN) Open prediction for future tests (FRBs, QSOs, CMB EB/TB)

The purpose of this work is not to defend the model but to evaluate transparently whether its predictions succeed or fail.


Reproducibility

This release includes all files required to regenerate figures and results:

Running the scripts in /src/ reproduces all figures appearing in the manuscript.
No external downloads are required.


DOI

Zenodo record:
https://doi.org/10.5281/zenodo.17685410


Citation

If you use or reference this work, please cite: Cosmic Thinker & ChatGPT ("Toko"). (2025). Testing a Siamese Interference Dark Sector with Triple Cosmological Falsification. Zenodo. https://doi.org/10.5281/zenodo.17685410


License

Released under the MIT License.