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ZENODO
Preprint . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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The Falsification of Particle-Based Dark Matter: A Pre-emptive Analysis of CERN FASER Null-Results

Authors: Puzinas, Darius;

The Falsification of Particle-Based Dark Matter: A Pre-emptive Analysis of CERN FASER Null-Results

Abstract

CERN'S FASER experiment represents the frontier of searches for "Dark Sector" particles, specifically targeting dark photons and light WIMPs. This brief provides a formal prediction using the Universal Space Theory (UST) framework. We demonstrate that the phenomena attributed to "Dark Matter" are macroscopic geometric artifacts of the 2D manifold's anisotropic tension ($1/r$ flux focusing), rather than the influence of undetected 3D inclusions. We predict that FASER will report a null result for all non-Standard Model candidates, confirming that the "Dark Sector" is a mathematical misinterpretation of medium-geometry effects.

Keywords

Universal Space Theory, UST Model, CERN, Dark Matter, Manifold Mechanics, Anisotropy, FASER, Dark Photons, WIMPs

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green