Framework demonstrates stable galactic substrate classification without dark matter, indicating new astrophysical dynamics.
Key Points
The research aims to develop a framework that elucidates substrate interactions in SPARC galaxies driven by neutrino flux from supermassive black holes.
Used a 175-galaxy rotation curve dataset to classify galaxies into distinct interaction states.
Tested classifications against perturbation effects to confirm stability.
Expanded classification from three to six substrate interaction states with validation runs on specific galaxies.
Identified and classified galaxies into tripartite and later hexapartite interaction states.
Demonstrated that dark matter signals can be reinterpreted as neutrino maintenance budgets.
Validated predictions for neutrino flavor measurements at galactic edges.
Cite This Study
Stephen Justin Senior Burdick (2026) studied this question.