Hi everyone,
I’ve been exploring a framework (CUE) where spacetime is modeled as an emergent informational medium described by a saturation field sigma(x).
The idea is that deviations from Newtonian gravity arise from the nonlinear response of this field, rather than from dark matter halos.
SPARC test (175 galaxies)
I tested the model on the full SPARC dataset:
- Baryonic only: chi-squared ~ 85
- Softened model: chi-squared ~ 9
- Fitted M/L (Mass-to-Light): chi-squared ~ 3.4
Conclusion: The model reproduces the Radial Acceleration Relation (RAR).
Critical test: Residuals
I looked for deviations from RAR using surface-density proxies:
- Initial signal: Weak
- Controlled signal: Disappears when controlling for nuisance parameters
Conclusion: No robust deviation from RAR found.
Key point (New result)
The model makes a falsifiable prediction:
- The characteristic acceleration scale evolves with cosmic expansion: a0 proportional to H(z).
- Which implies: BTFR velocities scale as H(z)^(1/4).
Result: This corresponds to a ~10–20% increase in velocities at z ~ 1 (at fixed baryonic mass).
Comparison with current data
- Low-z HI BTFR: No evolution (Matches model).
- High-z stellar/baryonic TFR: Mixed / uncertain results.
- BTFR dataset: No clean homogeneous dataset yet.
Status: Current data don’t provide a definitive test, but may already place tension on strong evolution.
Interpretation
At this stage:
- The framework reproduces MOND/RAR phenomenology but is not yet observationally distinguishable from it.
- The main value: It provides a possible interpretation and a clear, testable prediction.
Slides (See images above, especially the one for the high-redshift prediction)
I’d really appreciate feedback on:
- Whether current high-z data already constrain this prediction?
- Better ways to test BTFR evolution?
- Whether lensing or cosmology is a better discriminator?
Due to community filters, I’ve placed the link to the full PDF (hosted on Google Drive) and the AI-collaboration credits in the first comment below