The Cosmic Rhythm: Empirical Physics of Process Ontology

This book presents the Energy Quantum Theory (EQT)—a foundational physical framework that replaces the substance-based ontology of modern physics with a unified process ontology. EQT posits that the sole fundamental entity of nature is the frequency-resolved energy quanta density field \rho(\mathbf{r}, t, f), and that all physical phenomena—from quantum fluctuations to planetary dynamics, galaxy formation, and black hole mergers—are gradient transients (\nabla \rho_f \neq 0) in this field. These transients evolve via a universal nonlinear dynamics \partial_t \rho = k(f) \rho^2 - D(f) \nabla^2 \rho + \cdots, manifesting a cosmic rhythm governed by the freezing spectrum t_{\text{freeze}}(f) \propto f^{-1}. Through the method of reinterpretive validation, the book demonstrates how EQT quantitatively explains four landmark observational anomalies using only publicly available data: — The 2.8-year transient gravity anomaly in Earth’s D″ layer (GRACE, 2006–2008); — The ultrafast electron dynamics in XFEL femtosecond experiments; — The “precocious galaxies” at z > 10 observed by JWST; — The gravitational wave signatures of binary black hole/neutron star mergers (LIGO/Virgo). Crucially, EQT is not a phenomenological patch but a falsifiable, predictive, and computable theory. It derives precise, testable predictions across scales: the electron density void (0.1 nm, 20 fs), the GRACE-FO detectable 1991 gravity anomaly, the JWST–LISA cross-correlation signal, and the L/R \propto \mathcal{M}_c^{-5/3} scaling law for compact binaries. Philosophically, EQT fulfills three missions: (1) terminating substance ontology, (2) grounding irreversibility in orbital irreducibility, and (3) revealing non-cumulative emergence as the origin of complexity. By unifying quantum, planetary, galactic, and cosmological physics under the principle that “process is being,” this work establishes EQT as a new paradigm for 21st-century physics—one that returns science to its core mission: explaining nature, not merely fitting data.