MART/KTA RMEM2 V4.1: Fixed-RMEM2 Full-MCMC Validation on Planck 2018 high-ℓ TTTEEE + low-ℓ TT/EE, BAO DR2, Growth, SN and Direct-S8 Data, Δχ² = ΔAIC = ΔBIC = −9.4488
Authors/Creators
Description
This V4.1 release provides a source-clean, externally rebuildable MART/KTA RMEM2 validation package for a fixed effective-response table in CLASS/Cobaya.
The release tests a fixed RMEM2 response table in equal-sampled-parameter table-off/table-on comparisons. No additional sampled RMEM2 parameter is introduced in the table-on configuration. The active table-on closure is:
ΔKTA = R_mem · S,
Σ = 1 + ΔKTA,
μ = 1 − R_mem²(Σ − 1),
η = 2Σ/μ − 1,
with a GR fallback at z > 5.
The V4.1 release contains two main joint validation branches:
M4g:
Planck high-ℓ + BAO DR1 + growth + supernova + direct-S8 data.
M4h:
Planck high-ℓ + BAO DR2 + growth + supernova + direct-S8 data.
The main full-MCMC V4 result is the M4g comparison using Planck, BAO DR1, growth, supernova and direct-S8 data:
table-off χ² = 6590.9958352
table-on χ² = 6565.2618842
Δχ² = ΔAIC = ΔBIC = −25.7339510
The V4.1 BAO DR2 extension is the M4h comparison using Planck, BAO DR2, growth, supernova and direct-S8 data:
table-off χ² = 2793.7857
table-on χ² = 2784.3369
Δχ² = ΔAIC = ΔBIC = −9.4488
Because the table-on and table-off runs use the same sampled cosmological parameter set, ΔAIC and ΔBIC coincide with Δχ² for these fixed-table comparisons.
Fitted and tested data combinations included in V4/V4.1:
M3D:
Planck high-ℓ validation / sigma8-S8 drift audit.
M4a:
Planck 2018 high-ℓ TTTEEE + low-ℓ TT/EE baseline comparison.
M4b:
Planck 2018 high-ℓ TTTEEE + low-ℓ TT/EE + BAO DR1 comparison.
M4c:
Planck 2018 high-ℓ TTTEEE + low-ℓ TT/EE + BAO DR1 comparison.
M4d:
Planck 2018 high-ℓ TTTEEE + low-ℓ TT/EE + BAO DR1 + growth comparison.
M4e:
Planck 2018 high-ℓ TTTEEE + low-ℓ TT/EE + BAO DR1 + growth full comparison.
M4f:
Planck 2018 high-ℓ TTTEEE + low-ℓ TT/EE + BAO DR1 + growth + supernova comparison.
M4g:
Planck 2018 high-ℓ TTTEEE + low-ℓ TT/EE + BAO DR1 + growth + supernova + direct-S8 comparison.
M4h:
Planck 2018 high-ℓ TTTEEE + low-ℓ TT/EE+ BAO DR2 + growth + supernova + direct-S8 comparison.
Parameter drift audit from M3D to M4h:
Run Δχ² ΔH0 ΔΩm Δσ8 ΔS8 Δωcdm
M3D +0.01919 +0.01207 −0.00023 −0.04840 −0.04886 −0.00005
M4a −4.23794 +0.86688 −0.01171 −0.03156 −0.04760 −0.00193
M4b −1.80050 +0.70774 −0.00892 −0.03644 −0.04861 −0.00138
M4c −4.84028 +0.62897 −0.00849 −0.02930 −0.04098 −0.00144
M4d −4.44126 +0.58534 −0.00756 −0.02407 −0.03446 −0.00118
M4e −16.90111 +0.23660 −0.00289 −0.02116 −0.02519 −0.00043
M4f −16.34993 +0.21888 −0.00235 −0.02857 −0.03194 −0.00027
M4g −25.73395 −0.12273 +0.00174 −0.01929 −0.01697 +0.00032
M4h −9.44880 +0.01342 −0.00002 −0.01551 −0.01551 +0.00002
For M4g, the best-fit values are:
Parameter table-off table-on Δ(table-on − table-off)
H0 68.579775 68.457043 −0.122732
omega_b 0.022476 0.022468199 −0.000007801
omega_cdm 0.11835702 0.11867543 +0.00031841
tau_reio 0.051289785 0.049876208 −0.001413577
A_s 2.072676e−09 2.073223e−09 +5.47e−13
n_s 0.96775788 0.96743826 −0.00031962
A_planck 0.99916272 1.0001324 +0.00096968
For M4g, the direct sigma8/S8 drift audit gives:
Δσ8 = −0.01928819
ΔS8 = −0.01697029
For M4h, the full-MCMC BAO DR2 table-off/table-on comparison gives:
Parameter Δ(table-on − table-off)
χ² −9.448800
H0 +0.013418
Ωm −0.00002161
ωcdm +0.00001802
σ8 −0.01550752
S8 −0.01550718
The M4h BAO DR2 chains are audit-level converged:
M4h table-off:
R−1 = 0.018478
R−1_cl = 0.089277
M4h table-on:
R−1 = 0.010340
R−1_cl = 0.085126
The M3D Planck high-ℓ absolute post-processing values are:
Parameter table-off table-on Δ(table-on − table-off)
χ² 576.76109 576.78028 +0.01919
H0 68.416363 68.428429 +0.012066
Ωm 0.301921 0.301696 −0.000225
σ8 0.863623 0.815224 −0.048399
S8 0.866384 0.817525 −0.048859
ωcdm 0.118827 0.118775 −0.000052
A_s 2.324360e−09 2.180392e−09 −1.43968e−10
n_s 0.968222 0.967792 −0.000430
A_planck 1.002078 0.998829 −0.003249
The M3D–M4h audit shows that the fixed RMEM2 table mainly affects the growth and lensing-related sector, with repeated negative shifts in σ8 and S8 across the tested configurations, while preserving the equal-sampled-parameter structure of the comparison.
The package includes:
- patched CLASS/Cobaya solver source tree,
- fixed RMEM2 μ/Σ table,
- table-off and table-on YAML configurations for M4g and M4h,
- custom likelihood modules for BAO DR1, BAO DR2, growth, SN and S8 tests,
- local BAO DR1 and BAO DR2 data files,
- local SN data files used by the custom likelihoods,
- M3D–M4h audit material,
- sigma8/S8 drift tables,
- M4g direct-S8 likelihood result,
- M4h BAO DR2 full-MCMC result,
- manuscript and supplement source/PDF files,
- README_REPRODUCE,
- README_SOLVER,
- README_PHYSICS_LIMITS,
- run_unit_tests.sh,
- run_smoke_tests.sh,
- run_solver_build_smoke_tests.sh,
- SHA256 checksums.
The release archive is source-clean: compiled solver binaries, object files, shared libraries, build directories and local-path build artifacts are intentionally excluded. The solver can be rebuilt from source using the included build-smoke script.
The package passed smoke and unit tests, including:
- required release-structure checks,
- source-clean checks for forbidden precompiled artifacts,
- text privacy scan,
- binary/string privacy scan,
- RMEM2 table integrity check,
- M4g/M4h YAML file-reference checks.
Scientific scope and claim boundary:
This release validates a fixed RMEM2 effective-response table as an externally rebuildable and reproducible comparison package across M3D, M4a–M4g and the V4.1 M4h BAO DR2 extension. It does not claim that RMEM2 is a fundamental theory, does not claim to replace dark matter, does not claim to solve the H0 or S8 tensions, and does not claim to prove singularity avoidance or black-hole/big-bang transition physics.
V5m and other dynamic RMEM2 reconstructions are not part of the V4.1 main release claim.
Outlook
This V4.1 release is intentionally limited to a fixed-RMEM2 effective-response validation. It establishes a reproducible source-clean baseline for equal-sampled-parameter table-off/table-on comparisons across M3D, M4a–M4g and M4h, including the M4g direct-S8 result and the M4h BAO DR2 extension.
The next development stage will extend this fixed-table validation into a broader MART/KTA stress-test and reconstruction program. The planned V5 directions are:
1. Dynamic RMEM2 reconstruction
A dynamic RMEM2 reconstruction will be developed from the M3D–M4h validation sequence. The goal is to test whether the fixed RMEM2 response used in V4/V4.1 can be recovered, approximated, or falsified by a data-driven reconstruction without introducing unconstrained new degrees of freedom.
2. Fixed versus dynamic RMEM2 comparison
The fixed V4/V4.1 response table will be compared against the dynamic RMEM2 reconstruction. This comparison will test whether the fixed-table approximation is merely phenomenological or whether it captures a stable response pattern across the likelihood ladder.
3. CDM stress test
A controlled CDM-sector stress test will probe how strongly the RMEM2 response depends on the assumed cold-dark-matter contribution. This will be treated as a falsification-oriented diagnostic, not as a claim that MART/KTA replaces dark matter.
4. Boundary-phase and membrane stress tests
Future work will explore whether the same relaxation-memory structure can be formulated as a boundary-phase diagnostic for early-universe and black-hole-like regimes. This is an exploratory structural program only; V4.1 does not claim singularity avoidance or black-hole/big-bang transition physics.
5. Covariant MART/KTA formulation
A longer-term objective is to investigate whether the effective RMEM2 closure can be embedded in a covariant MART/KTA formulation with explicit consistency limits, stability diagnostics, and falsifiable observational consequences.
The immediate next milestone is therefore not a stronger theoretical claim, but a stricter falsification program: dynamic reconstruction, solver-level stress tests, controlled comparison between fixed and reconstructed RMEM2 responses, CDM-sector stress tests, and explicit claim-boundary validation.
Files
Files
(92.7 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:d4c0e6324aec4d8cbe9e5d742e816d94
|
92.7 MB | Download |
|
md5:9eba22fe5155aef25d73f9176874406d
|
115 Bytes | Download |
Additional details
References
- Aghanim, N. et al. (Planck Collaboration). Planck 2018 results. VI. Cosmological parameters. Astronomy & Astrophysics 641, A6 (2020). DOI: 10.1051/0004-6361/201833910
- Blas, D., Lesgourgues, J., & Tram, T. The Cosmic Linear Anisotropy Solving System (CLASS). Part II: Approximation schemes. Journal of Cosmology and Astroparticle Physics 2011(07), 034 (2011). DOI: 10.1088/1475-7516/2011/07/034
- Torrado, J., & Lewis, A. Cobaya: code for Bayesian analysis of hierarchical physical models. Journal of Cosmology and Astroparticle Physics 2021(05), 057 (2021). DOI: 10.1088/1475-7516/2021/05/057
- Brout, D. et al. The Pantheon+ Analysis: Cosmological Constraints. The Astrophysical Journal 938, 110 (2022). DOI: 10.3847/1538-4357/ac8e04
- Scolnic, D. et al. The Pantheon+ Analysis: The Full Data Set and Light-curve Release. The Astrophysical Journal 938, 113 (2022). DOI: 10.3847/1538-4357/ac8b7a
- Akaike, H. A new look at the statistical model identification. IEEE Transactions on Automatic Control 19(6), 716–723 (1974). DOI: 10.1109/TAC.1974.1100705
- Schwarz, G. Estimating the dimension of a model. The Annals of Statistics 6(2), 461–464 (1978). DOI: 10.1214/aos/1176344136
- Gelman, A., & Rubin, D. B. Inference from iterative simulation using multiple sequences. Statistical Science 7(4), 457–472 (1992). DOI: 10.1214/ss/1177011136