Gamma-Ray Transients and Informational Dynamics

This work presents a transparent, falsifiable, and theory-agnostic data analysis framework applied to publicly available gamma-ray transient observations. The study examines whether observed gamma-ray emission patterns require particle-based dark matter interpretations or remain consistent with non-stationary, structural, and informational dynamics as proposed within the ZIP cosmology framework. The analysis focuses on three primary observational dimensions: temporal variability, spectral behavior, and spatial correlation. Particle-based dark matter models generally predict temporally stable emission components, universal spectral features such as narrow gamma-ray lines, and strong spatial correlations with dark matter overdensities. In contrast, ZIP cosmology interprets spacetime as an informational structure, where gamma-ray emission may arise from transient or local reconfigurations rather than particle annihilation or decay. To complement the qualitative methodology, the work includes a concise quantitative summary of key observational properties, a statistical characterization of variability and spectral dispersion, and an informational activity measure linking flux evolution to non-stationary dynamics. A dedicated appendix presents a quantitative case study of a representative gamma-ray transient region, illustrating the framework at the level of an individual source. The results indicate that the analyzed gamma-ray transient data do not require particle-based dark matter explanations and are consistent with heterogeneous, non-stationary informational dynamics. Emphasis is placed on methodological transparency, minimal assumptions, and clear falsification criteria, providing a robust foundation for future quantitative extensions and multi-instrument validation.