This framework classifies SPARC galaxies into distinct substrate states, suggesting alternative models for galactic dynamics.
Key Points
The study aims to develop a framework that reinterprets galactic dynamics without relying on dark matter, instead focusing on neutrino-driven substrate interactions.
Utilized the SPARC rotation curve dataset involving 175 galaxies for classification purposes.
Introduced a tripartite classification of galactic substrate interactions under varying conditions.
Conducted validation runs on multiple galaxies emphasizing the stability of the proposed classifications.
Adopted a comprehensive theoretical framework incorporating various astrophysical mechanisms.
Identified six distinct substrate interaction states with stable classifications under perturbation.
Demonstrated significant substrate wins in specific test galaxies, with measurable shifts in velocity profiles.
Validated predictions for neutrino flavor ratios in relation to the substrates surrounding SPARC galaxies.
Cite This Study
Stephen Justin Senior Burdick (2026) studied this question.