Published June 22, 2026
| Version v1
Preprint
Open
Symbolic Regression as a Probe of Dark Matter and Modified Gravity: Synthesis of Hubble Constant and Radial Acceleration Relation Constraints
Authors/Creators
Description
Phase 3 synthesizing SR-discovered H(z) and RAR forms into empirical discriminants for DM models. We present a GP hook null test (3/164 significant — consistent with null), mass-weighted EFE analysis (null result across 3 proxies), abundance-matched MCMC ((\sigma_8 = 0.900), (\Omega_m = 0.246)), MaNGA cross-validation (10,052 independent galaxies), SPARC sub-sample cross-validation (CPX5 parameters are range-dependent at 15(\sigma)), and a systematic-error-aware forecast for Euclid/Rubin/Roman. Adversarially validated over 4 debate rounds (24 challenges, 0 fatal).
Files
phase3_zenodo.zip
Files
(578.7 kB)
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md5:e645195bb70118936f14ceea0b90675d
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Additional details
Software
- Repository URL
- https://github.com/ivan-hernandez/h0-symbolic-regression