Gravitational Network Network Cosmology: Eliminating Dark Matter and Dark Energy Through Dynamic Binding Energy

Read full text
Authors: Mart Wijn
Cited by: 0

Abstract

We propose an alternative cosmological framework that eliminates the need for both darkmatter (27% of universal mass-energy) and dark energy (68%) by recognizing that dynamicgravitational networks generate binding energy that manifests as effective mass via E=mc2. Inthis model, all stars within a galaxy form a self-organizing N-body network whose emergentproperties — including distributed binding, dynamic equilibrium, and coherent structure —account for observations currently attributed to dark matter. Galaxy rotation curves, the BulletCluster, gravitational lensing anomalies, and the wide variation in 'missing mass' acrossgalaxies (0% to 99.99%) are all explained through network binding energy without invokingexotic particles. Cosmic acceleration is explained by a 'catapult mechanism': the progressiverelease of Big Bang momentum as gravitational networks weaken with expansion, causingobjects to 'become lighter' as binding energy decreases and the same force produces greateracceleration. We further propose that galaxies represent cores from multiple Big Bang events atdifferent epochs, naturally explaining the JWST discovery of unexpectedly mature earlygalaxies and the Hubble tension. The framework maintains perfect energy conservation,requires no fine-tuning, and operates as an eternal cyclic cosmology. We present ten testablepredictions using existing astronomical data from SDSS, Gaia, and JWST, several of which canbe evaluated immediately through database analysis. By Occam's Razor, a model explaining95% of the 'mysterious universe' through known physics operating in complex systems warrantsserious investigation before continued investment in undetected exotic particles.

Fields of Study & Subjects

Cosmology and Gravitation Theories Galaxies: Formation Evolution Phenomena Dark Matter and Cosmic Phenomena

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
4 March 2026
Language
EN