Wasserstein Distance in Cosmological Structure Formation: An Optimal Transport Perspective
Tsutomu T. Takeuchi (Nagoya University)

TL;DR
This paper introduces a novel framework using Wasserstein distance from optimal transport theory to describe the evolution of matter distribution in cosmological structure formation, linking initial density fields to observed galaxy data.
Contribution
It formulates cosmological structure formation as a mass transport problem and derives an approximate Wasserstein distance expression that decomposes into physical processes.
Findings
Wasserstein distance captures mass transport, galaxy bias, and shot noise.
The framework relates the distance to the matter power spectrum and galaxy correlation functions.
Provides a unified geometric perspective on structure formation.
Abstract
The formation of cosmological large-scale structure is usually described in terms of the evolution of density fluctuations and their statistical measures, such as the power spectrum and correlation function. However, these statistics characterize the amplitude structure of density fluctuations and do not directly describe the spatial redistribution of matter that occurs during structure formation. In this work we formulate cosmological structure formation as a transport problem of mass distributions using the Wasserstein distance from optimal transport theory. The generative process from the initial linear density field to the observed galaxy catalog is treated as a hierarchical mapping from a continuous density field to a galaxy point process, and an approximate expression for the Wasserstein distance between them is derived under the small-fluctuation approximation. We show that this…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Cosmology and Gravitation Theories · Statistical Mechanics and Entropy
