The DNA of Worlds: Multi-Stream Coherence Fingerprinting Across 45 Planets, Moons, Stars, and Exoplanets

This work introduces a dynamical framework for evaluating planetary systems based on behavioral coherence rather than static classification metrics. Current habitability assessment relies primarily on orbital distance, equilibrium temperature, and composition. These measures describe what a system is, but do not capture how it behaves. We demonstrate that variability across multiple independent observables reveals a complementary dimension of system state. Using multi-stream coherence analysis, we evaluate 45 planetary bodies including Solar System planets, moons, and exoplanets. Results show that Earth-like dynamical behavior is not confined to the traditional habitable zone. Several non-habitable-zone systems exhibit strong Earth-like coherence patterns, while some canonical candidates do not. A continuous dynamical gradient emerges across the Solar System, with increasing complexity and decreasing coupling as distance from the Sun increases. Moons such as Titania and Europa rank among the most Earth-like systems behaviorally, highlighting the limitations of location-based habitability models. This framework does not replace existing physical models, but introduces a measurement layer focused on system dynamics. If validated across additional domains, it suggests that complex systems may share common transition structures independent of the underlying forces that govern them. All datasets used in this work are derived from publicly available sources including NASA Kepler, TESS, the NASA Exoplanet Archive, JPL planetary data, and PhysioNet cardiac datasets. What something is does not determine how it behaves.