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March 1, 2026The European Physical Journal C3 citationsOpen Access

The Milky Way and M31 rotation curves in Yukawa gravity: phenomenology and Bayesian analysis

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DHDavendra S. HassanMDM. Dio DanariantoASAnto Sulaksono

Key Points

  • The research aims to explore how Yukawa gravity influences rotation curves of the Milky Way and Andromeda galaxies.
  • Developed an analytical and numerical framework to calculate rotational velocities under Yukawa gravity.
  • Incorporated contributions from stellar bulge, disk, dark matter halo, and supermassive black hole.
  • Conducted Bayesian analyses using observational data from the Milky Way and Andromeda galaxies.
  • Examined four scenarios: without dark matter, with non-trivial coupling, fully modified gravity, and standard Newtonian gravity.
  • Models with coupling strength less than 1 kpc show high Bayes factors but risk overfitting.
  • Data suggests dark matter may mimic baryonic kinematics in the Milky Way, leading to potentially biased constraints.
  • In Andromeda, Bayesian analysis favors Newtonian gravity, indicating data limitations in resolving complex models.
  • Highlights the need for realistic priors and high-precision data for improved gravity testing.

Abstract

Abstract Yukawa gravity provides a generalized framework for modeling gravity modification. We investigate the rotation curve profiles of spiral galaxies under Yukawa-like theories governed by the coupling strength β and the interaction range λ. We develop a unified analytical and numerical framework to calculate rotational velocities under Yukawa gravity, which includes contributions from all major galactic components: stellar bulge, disk, dark matter (DM) halo, and central supermassive black hole. The calculations show that β and λ strongly influence velocity distributions by shifting peaks, creating double-peaked structures, or enhancing dark matter dominance in the bulge or disk. To assess observational implications, we perform Bayesian analyses using data from the Milky Way (MW) and Andromeda (M31), which offer complementary characteristics: MW provides precise velocity profiles across multiple scales, while M31 includes broader morphological constraints. We examine four scenarios: Yukawa gravity without dark matter, dark matter with non-trivial coupling, fully modified gravity, and standard Newtonian gravity. Results show that MW models with λ 1 kpc yield high Bayes factors but risk overfitting, as dark matter mimics baryonic kinematics, while M31’s photometric priors from conjugate observations mitigate this, yielding robust parameter estimates. However, in M31, Bayes factors favor Newtonian gravity, suggesting that current data lack the precision to resolve more complex models. This finding highlights two key needs: (i) realistic, physically or empirically informed priors to avoid biased constraints, and (ii) high-precision data with independent photometry to guard against overfitting. Our framework offers a scalable approach for testing gravity with large galactic rotation curve datasets.

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Cite This Study

Hassan et al. (2026) studied this question.

synapsesocial.com/papers/69a3d800ec16d51705d2e896https://doi.org/10.1140/epjc/s10052-026-15428-2
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