Estimation of the Hubble constant using Gaussian process regression and viable alternatives
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Updated
Jan 17, 2024 - Python
Estimation of the Hubble constant using Gaussian process regression and viable alternatives
Code & data reproducing the Siamese Interference Cosmology analysis against Son & Lee (2025). We show that cosmic deceleration (q0>0) emerges naturally from phase interference, predicting a falsifiable hemispheric anisotropy for Euclid/LSST.
Unified Cosmological Model: A single scalar field ($\Phi_{D1}$) simultaneously explains the origin of matter (Baryogenesis) and Dark Energy, statistically excluding ΛCDM at 10σ.
This project implements the pipeline for testing the time-scaling model.
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