Do Gamma-Ray Transients Require Particle Dark Matter? An Informational and Structural Analysis within ZIP Cosmology

This work presents a transparent, theory-agnostic, and falsifiable data analysis pipeline applied to publicly available gamma-ray transient observations. The study investigates 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 temporal variability, spectral heterogeneity, and spatial correlation properties of gamma-ray transients derived from Fermi-LAT processed data products. Particle-based dark matter models typically predict stable emission components, universal spectral features, 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. The presented pipeline deliberately avoids model fitting to preferred theoretical assumptions and instead evaluates observational signatures that can falsify the informational interpretation. The absence of temporally stable signals, universal spectral gamma-ray lines, and strong spatial correlations in the analyzed dataset indicates that the observations do not require particle-based dark matter explanations and remain compatible with informational and structural dynamics. This work emphasizes methodological transparency, reproducibility, and minimal assumptions, offering a framework that can be extended to raw photon event data and multi-instrument cross-validation in future studies.