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April 19, 2026Open Access

Automated Hidden Physics Detection in Galaxy Rotation Curves via Symbolic Regression with Langevin-Diffusion Expression Priors

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Authors

HMHanif Muhammad

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Overview

Automated analysis detects hidden physics in galaxy rotation curves, indicating new insights for astrophysics.

Key Points

  • This research aims to identify hidden physics in galaxy rotation curves using automated methods and symbolic regression.
  • Applied PIR-JEPA to SPARC galaxy rotation curve dataset
  • Conducted analysis in three stages for evidence accumulation
  • Utilized Delta-s metric to identify hidden physics candidates
  • Confirmed results through scoring of generated expressions across galaxies
  • Identified 61.5% of 143 galaxies as hidden physics candidates
  • Confirmed 11 out of 12 candidates at high reliability
  • Dominance of log(|v_bar|+1) expression supports Radial Acceleration Relation
  • First data-driven recovery of a correction term from SPARC dataset

Cite This Study

Hanif Muhammad (2026) studied this question.

synapsesocial.com/papers/69e4734c010ef96374d8f182https://doi.org/10.5281/zenodo.19614469
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