Dark Sector Analysis App

This report details the development and validation of the Dark Sector Analysis Gravitational Scanner, a high-fidelity computational instrument designed to visualize the invisible architecture of the universe.Built upon the theoretical framework of the Topological Lagrangian Model, the application simulates metric tension and dimensional synchronization within a non-orientable spacetime manifold (N = 25 ensemble).We present the methodology behind the Geometric Observer, a novel algorithm that utilizes deterministic seeding to predict vacuum stress (Ξ 00 ).We further report on a rigorous Null Hypothesis test performed on the Boötes Void.Contrary to optical expectations of emptiness, the scanner detected a massive, linear high-tension filament (P U LL > 1.2) running through the void's axis.We interpret this not as a false positive, but as a successful instance of Computational Weak Lensing, revealing the dark matter scaffold of the cosmic web that remains invisible to standard electromagnetic surveys.