PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
July 22, 20260 citationsOpen Access

Statistical Confirmation of the External Field Effect in SPARC Galaxies and Strict Limits on the Intrinsic Variation of the Acceleration Scale \ (a₀\)

View Full Paper
LMLic.Mendoza Romo Martinez Mendoza Romo Martinez

Key Points

  • To analyze the Radial Acceleration Relation in SPARC galaxies and assess the external field effect.
  • High-precision analysis of 161 galaxies from the SPARC catalog
  • Incorporated large-scale external gravitational field estimates
  • Model comparison using the Bayesian Information Criterion
  • Confirmed the external field effect at a significance of 25.5σ
  • Measured slope of m = -0.700 ± 0.025, aligning with theoretical expectations
  • No conclusive evidence for intrinsic variation of acceleration scale, upper bound ∼5% relative to EFE amplitude

Abstract

Abstract I present an independent, high-precision analysis of the Radial Acceleration Relation (RAR) using a sample of 161 galaxies from the SPARC catalog, combined with large-scale external gravitational field estimates. I confirm the External Field Effect (EFE) — a unique prediction of Modified Newtonian Dynamics — at a significance of 25. 5σ, more than five times higher than previous reports. I measure a slope \ (m = -0. 700 0. 025\), in excellent agreement with theoretical expectations, and show that correcting for the EFE reduces the RAR residual dispersion by 62. 5%. Model comparison via the Bayesian Information Criterion yields \ (6246\), decisively favoring the EFE over the null hypothesis. After controlling for the standard EFE contribution, I find no conclusive evidence for an intrinsic variation of the acceleration scale \ (a₀\), placing a strict upper bound at the ∼5% level relative to the EFE amplitude.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Lic.Mendoza Romo Martinez Mendoza Romo Martinez (2026) studied this question.

synapsesocial.com/papers/6a605dd44163e025518d7c22https://doi.org/10.5281/zenodo.21448086
Ask AI
Helpful
Bookmark
Share
View Full Paper