AI Reconstructs Cosmic Vorticity and Rotational Flow

This research reports an empirical reconstruction of the cosmic vorticity field using an artificial intelligence framework. The AI is trained on simulations of the concordance LambdaCDM model and applied to Sloan Digital Sky Survey galaxies. The reconstructed three-dimensional velocity and vorticity fields reveal coherent vortical structures, including spiral flows in clusters, filaments, and voids. The cosmic web inferred from vorticity closely matches that derived from density segmentation. The power spectra of the reconstructed velocity and vorticity fields agree statistically with LambdaCDM predictions. The inferred velocity field effectively removes redshift-space distortions, yielding an almost isotropic clustering signal. These results reinforce the concordance cosmological model from an independent perspective. The AI-driven reconstruction closes a long-standing observational gap, highlighting the potential of AI to access otherwise unobservable quantities and address fundamental questions in cosmology and galaxy formation. The reliance on simulations and the LambdaCDM model introduces potential biases that must be considered when interpreting the results.

_Context: This intelligence report was compiled by the DailyOrbitalWire Strategy Engine. Verified for Art. 50 Compliance._