WHAT THE OCEAN CAN TEACH US ABOUT DARK MATTER

Abstract The Bullet Cluster (1E 0657-56) provides an important observational case for investigating the relationship between baryonic matter and the gravitational mass distribution inferred from gravitational lensing. During the collision of two galaxy clusters, the intracluster gas undergoes substantial hydrodynamic interaction, whereas the galaxies experience comparatively little direct collisional interaction. Lensing analyses indicate that the dominant projected mass distribution is spatially displaced from the hot gas, demonstrating that the observed baryonic distribution alone does not account for the inferred gravitational potential. This paper develops an oceanic analogy to examine the distinction between observable tracers, underlying dynamical structure, and indirect measurement. In a stratified fluid, velocity fields and spatially varying refractive indices can produce observable effects that are not determined by visible tracers alone. These mechanisms are not physically equivalent to gravitational lensing, but they provide a framework for examining how system properties may be inferred from their effects on observable quantities. The analogy is considered within Infinity Mechanics (IM), a conceptual framework proposing that physical organization may extend through a hierarchy of scales without a privileged minimum or maximum. The possibility that unresolved physical organization could contribute to phenomena currently attributed to dark matter is treated as a speculative research direction, not an established explanation. Establishing such a connection would require a defined mechanism, mathematical formulation, consistency with astrophysical observations, and falsifiable predictions.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-31
DOI
https://doi.org/10.5281/zenodo.23842754
Primary Topic
Galaxies: Formation, Evolution, Phenomena
Type
preprint
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preprint

WHAT THE OCEAN CAN TEACH US ABOUT DARK MATTER

Matthew Arnold
Zenodo (CERN European Organization for Nuclear Research)
Galaxies: Formation, Evolution, Phenomena
preprint

WHAT THE OCEAN CAN TEACH US ABOUT DARK MATTER

Matthew Arnold
preprint en

Abstract

Abstract The Bullet Cluster (1E 0657-56) provides an important observational case for investigating the relationship between baryonic matter and the gravitational mass distribution inferred from gravitational lensing. During the collision of two galaxy clusters, the intracluster gas undergoes substantial hydrodynamic interaction, whereas the galaxies experience comparatively little direct collisional interaction. Lensing analyses indicate that the dominant projected mass distribution is spatially displaced from the hot gas, demonstrating that the observed baryonic distribution alone does not account for the inferred gravitational potential. This paper develops an oceanic analogy to examine the distinction between observable tracers, underlying dynamical structure, and indirect measurement. In a stratified fluid, velocity fields and spatially varying refractive indices can produce observable effects that are not determined by visible tracers alone. These mechanisms are not physically equivalent to gravitational lensing, but they provide a framework for examining how system properties may be inferred from their effects on observable quantities. The analogy is considered within Infinity Mechanics (IM), a conceptual framework proposing that physical organization may extend through a hierarchy of scales without a privileged minimum or maximum. The possibility that unresolved physical organization could contribute to phenomena currently attributed to dark matter is treated as a speculative research direction, not an established explanation. Establishing such a connection would require a defined mechanism, mathematical formulation, consistency with astrophysical observations, and falsifiable predictions.

Zenodo (CERN European Organization for Nuclear Research)
Galaxies: Formation, Evolution, Phenomena
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