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January 18, 20260 citationsOpen Access

Dark Flow Reinterpreted as a Super-Horizon Gravitational Gradient

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BRBrian Rieckmann

Key Points

  • This research aims to reinterpret Dark Flow as a structural phenomenon instead of a motion of matter.
  • Analyzed the implications of inherited curvature gradients on the observable universe.
  • Built upon previous theories including Creation, Structural Memory, and Dark Matter.
  • Developed a framework for understanding cosmic structure formation without invoking super-luminal motion.
  • Showed that large-scale anisotropies arise from Super-Horizon Gradient Geometries (SHGGs).
  • Provided a coherent explanation of Dark Flow's persistence through structural memory and dark matter binding.
  • Resolved tensions between observational data and ΛCDM model predictions.

Abstract

This paper reinterprets Dark Flow as a structural horizon‑gradient phenomenon rather than a bulk motion of matter. Building on the Creation, Structural Memory, and Dark Matter (Structural Binding) papers, it shows that large‑scale anisotropies arise naturally from inherited curvature gradients that extend beyond the observable universe. These Super‑Horizon Gradient Geometries (SHGGs) create directional biases in cosmic structure formation without requiring super‑luminal motion, exotic forces, or violations of isotropy.The result is a coherent structural explanation of Dark Flow: a persistent, large‑scale curvature gradient preserved by structural memory and expressed through the binding behavior of dark‑matter structures. This framework resolves long‑standing tensions between observation and ΛCDM predictions by reframing Dark Flow as a geometric inheritance rather than a dynamical anomaly.

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Cite This Study

Brian Rieckmann (2025) studied this question.

synapsesocial.com/papers/696c776ceb60fb80d1395ba4https://doi.org/10.5281/zenodo.18272326
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