Galaxy evolution is recast as transport of probability measures on a state manifold, with luminosity functions emerging as projections of a single dynamics.
Takeuchi,Applications of Big Data and Machine Learning in Galaxy Formation and Evolution, Series in Astronomy and Astrophysics, CRC Press, Boca Raton (2025)
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Galaxy evolution is cast as a geometrically constrained reaction-transport process on probability measures, using Wasserstein distance and CD(K,∞) conditions to enforce energy dissipation and interaction closure.
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Formalizing Galaxy Population Evolution: Drift and Mergers as Transport Processes on Manifolds
Galaxy evolution is recast as transport of probability measures on a state manifold, with luminosity functions emerging as projections of a single dynamics.
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A Measure-Theoretic Transport Formulation of Galaxy Evolution on the Galaxy Manifold: Geometric Constraints
Galaxy evolution is cast as a geometrically constrained reaction-transport process on probability measures, using Wasserstein distance and CD(K,∞) conditions to enforce energy dissipation and interaction closure.