Experimental Verification Protocol for Theorem I (MCE)
Target: Statistical Validation of the
Lead Theorist: Alexey Lukin
Methodology: Comparative Dynamical Mass Modeling (IFU Data)
- Objective
To empirically verify the correlation between a galaxy's star-formation history and its dark matter fraction (
- Data Sources & Sample Selection
We require high-resolution Integral Field Unit (IFU) data to decouple baryonic and dark mass.
Primary Survey: SDSS-IV MaNGA (Mapping Nearby Galaxies at Apache Point Observatory).
Sample A (Post-Starburst/E+A): 500+ galaxies identified by strong Balmer absorption and lack of emission lines (quenched burst at
Sample B (Control/Quiescent): 500+ elliptical galaxies matched with Sample A by Stellar Mass (
- Methodology: Mass Decomposition
We will use Jeans Anisotropic Modeling (JAM) to determine the total dynamical mass within the effective radius (
Luminosity Profiles: Use SDSS
Kinematics: Extract stellar velocity dispersion maps (
Bayesian Inference: Run MCMC simulations to find the best fit for:
where
- The CCA Prediction vs. Standard CDM
We define the Archival Surplus Ratio (
Standard $\Lambda$CDM Prediction:
CCA Theorem Prediction:
- Statistical Falsification Criteria
Success: A measured
Falsification: A measured
- Global Implications
If
Dark Matter is an archival record of baryonic entropy.
The fundamental constant
The universe is a computational substrate governed by the MCE Theorem.