What does this research mean for the field?

The zero-free-parameter GCFT model predicts galaxy rotation curves with 77% accuracy within a 20% margin across 12 galaxies, performing competitively but slightly underperforming MOND, which achieves 87% accuracy. Novelty: ClaimNovelty.INCREMENTAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

This research aims to evaluate the performance of CDN-258 and compare it with the Modified Newtonian Dynamics (MOND) model in predicting galaxy rotation curves.

June 19, 2026Open Access

CDN-260: The Rotation Curve Test

Key Points

This research aims to evaluate the performance of CDN-258 and compare it with the Modified Newtonian Dynamics (MOND) model in predicting galaxy rotation curves.
Applied CDN-258 with zero free parameters to 12 galaxy rotation curves
Analyzed a total of 102 radial points, with galaxy masses ranging from 5×10⁷ to 1.2×10¹¹ M☉
Compared model predictions using the GCFT and MOND frameworks.
GCFT achieved 77% accuracy within 20% of observed data, winning in 4 out of 12 low-mass irregular galaxies
MOND achieved 87% accuracy within 20%, winning in 8 out of 12 galaxies
Results indicate significant fit of MOND compared to GCFT, particularly for low-mass irregular galaxies.

Abstract

Applies CDN-258 unbounded κ (a) = 0. 152· (1+ (aₜ/a) ¹. 10) to 12 galaxy rotation curves (102 radial points, Mbar = 5×10⁷–1. 2×10¹¹ M☉) with zero free parameters. GCFT: 77% within 20%, wins 4/12 low-mass irregulars. MOND: 87% within 20%, wins 8/12. D9 paid in full; D10 opened (γ scale-dependence).

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