CGenome is a purely phenomenological observational framework that represents astrophysical systems as structured vectors in a 20-dimensional feature space. The framework does not introduce new physical laws, modify gravity, or assume causal mechanisms. It defines a unified observational coordinate system intended solely for the statistical organization and classification of astrophysical systems across scales. Each astrophysical system is represented as a 20-dimensional vector in a unified observational manifold: CG = (CG1, CG2, …, CG20) The objective of CGenome is not physical explanation, but statistical classification, structural embedding, and hierarchical organization of cosmic systems. This work is strictly descriptive and does not claim dynamical laws, modifications of General Relativity, or physical causation. It provides a data-driven taxonomy framework for astrophysical structure analysis. The framework is designed for compatibility with clustering, dimensional reduction, and statistical learning techniques, including PCA, UMAP, and HDBSCAN. CGenome can be interpreted as a high-dimensional observational coordinate system for organizing astrophysical complexity rather than a physical theory.
Ali Alhawarat (Thu,) studied this question.