Non-local Gradient Informational Field Theory (NGIFT): A Computational Model of Spacetime Emergence and Galactic Dynamics

This paper presents the Non-local Gradient Informational Field Theory (NGIFT), a paradigm shift in theoretical physics that redefines gravity and galactic dynamics as emergent properties of an underlying informational substrate. By replacing the concept of mass-induced curvature with Informational Processing Density (IPD), this model provides a unified explanation for galactic rotation curves and atomic stability without invoking Dark Matter, Planet Nine, or the Gravitational Constant (G). We demonstrate through numerical simulation that the anomalous motion of stars at galactic rims is a result of a matrix boundary effect—an informational processing bottleneck—rather than unobserved mass.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-11
DOI
https://doi.org/10.5281/zenodo.20127126
Primary Topic
Statistical Mechanics and Entropy
Type
preprint
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preprint

Non-local Gradient Informational Field Theory (NGIFT): A Computational Model of Spacetime Emergence and Galactic Dynamics

Szymon Flieger
Zenodo (CERN European Organization for Nuclear Research)
Statistical Mechanics and Entropy
preprint

Non-local Gradient Informational Field Theory (NGIFT): A Computational Model of Spacetime Emergence and Galactic Dynamics

Szymon Flieger
preprint en

Abstract

This paper presents the Non-local Gradient Informational Field Theory (NGIFT), a paradigm shift in theoretical physics that redefines gravity and galactic dynamics as emergent properties of an underlying informational substrate. By replacing the concept of mass-induced curvature with Informational Processing Density (IPD), this model provides a unified explanation for galactic rotation curves and atomic stability without invoking Dark Matter, Planet Nine, or the Gravitational Constant (G). We demonstrate through numerical simulation that the anomalous motion of stars at galactic rims is a result of a matrix boundary effect—an informational processing bottleneck—rather than unobserved mass.

Zenodo (CERN European Organization for Nuclear Research)
Statistical Mechanics and Entropy
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