Rediscovering_Geometry_without_SuperMUC_Muru_et_Al

A parameter-free derivation based on first principles — Newtonian gravity, Einsteinian curvature,and the σP framework — reproduces the key morphological results of Muru et al. (2025) withoutdark matter templates, annihilation channels, or high-performance computing. The morphologicalfeatures (axis ratios, spatial scales, and projected contours) emerge naturally from baryonic structureand geometry alone, using physics available since 1915.The primary disadvantage of this approach is not scientific but bibliometric. The σP frameworkreaches a modest citation/page ratio of 6/6, relying on classic sources such as Einstein (1915),Newton (1846), and Binney (1985). In contrast, the study by Muru et al. sets a new field recordwith 57/9 plus acknowledgements, surpassing the previous benchmark established byMcDermott et al. (2022) — A Phantom Menace: On the Morphology of the Galactic Center Excess— with 52/10.While the literature density of modern simulations is undeniably impressive, the underlying geometryremains stubbornly classical. The Galactic Center Excess can be explained without invoking self-annihilating dark matter particles, Monte Carlo chains, or petascale compute clusters. All it takesis Newton, Einstein, a bulge, and a Chrome tab.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-27
DOI
https://doi.org/10.5281/zenodo.17453139
Primary Topic
Dark Matter and Cosmic Phenomena
Type
article
Field-Weighted Citation Impact
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article

Rediscovering_Geometry_without_SuperMUC_Muru_et_Al

Zenodo (CERN European Organization for Nuclear Research)
Dark Matter and Cosmic Phenomena
article

Rediscovering_Geometry_without_SuperMUC_Muru_et_Al

article en

Abstract

A parameter-free derivation based on first principles — Newtonian gravity, Einsteinian curvature,and the σP framework — reproduces the key morphological results of Muru et al. (2025) withoutdark matter templates, annihilation channels, or high-performance computing. The morphologicalfeatures (axis ratios, spatial scales, and projected contours) emerge naturally from baryonic structureand geometry alone, using physics available since 1915.The primary disadvantage of this approach is not scientific but bibliometric. The σP frameworkreaches a modest citation/page ratio of 6/6, relying on classic sources such as Einstein (1915),Newton (1846), and Binney (1985). In contrast, the study by Muru et al. sets a new field recordwith 57/9 plus acknowledgements, surpassing the previous benchmark established byMcDermott et al. (2022) — A Phantom Menace: On the Morphology of the Galactic Center Excess— with 52/10.While the literature density of modern simulations is undeniably impressive, the underlying geometryremains stubbornly classical. The Galactic Center Excess can be explained without invoking self-annihilating dark matter particles, Monte Carlo chains, or petascale compute clusters. All it takesis Newton, Einstein, a bulge, and a Chrome tab.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 29%
Dark Matter and Cosmic Phenomena
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Rediscovering_Geometry_without_SuperMUC_Muru_et_Al · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS