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Theory of Everything

Claim 1

Raman Marozau · 2026-03-28 · DOI: 10.5281/zenodo.19313505

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Scale-Dependent Data-Conditioned Inference for the Inflationary Consistency Relation from Decoherence-Induced Occupancy

Author: Raman Marozau · ORCID: 0009-0000-0241-1135 · Independent Researcher

Date: 2026-03-28


Abstract

We show that a single Mukhanov–Sasaki/Bogoliubov computation, applied to the Theory of Everything (ToE) decoherence mechanism, simultaneously yields three linked data-conditioned inferences from one parameter set: (i) an infrared consistency-ratio deviation Q(k)=cs/(1+2nˉk)<1Q(k) = c_s^\ast/(1+2\bar{n}_k) < 1 at scales kk0k \lesssim k_0, with mean IR deviation 6–70% depending on k0k_0 (peak deviation up to 97% at the lowest kk); (ii) ring-down oscillations in the scalar power spectrum with phase-stable behavior in the amplitude-relevant region (serving as an internal consistency check); and (iii) non-Gaussianity suppression by the same occupancy factor (RfNL(k)=Q(k)R_{f_{NL}}(k) = Q(k)). The standard inflationary limit Q=1Q = 1 is recovered at the pivot scale k=0.05k = 0.05 Mpc1^{-1} as a null test. Using public BICEP/Keck 2018 + Planck 2018 + BAO chains (1,948,224 samples, r=0.0163±0.0101r = 0.0163 \pm 0.0101), we demonstrate that 75 out of 125 parameter combinations (60%) satisfy all three channels simultaneously, including the manuscript reference point (k0=0.002k_0 = 0.002, εH=0.01\varepsilon_H = 0.01, Γ/H=5\Gamma/H = 5). This is a robust data-conditioned inference within the tested domain, not a detection, and is testable with future low-\ell B-mode constraints on independently measured ntn_t.


1. The Claim

In the tested ToE parameter domain (k00.002k_0 \geq 0.002 Mpc1^{-1}, εH=0.001\varepsilon_H = 0.0010.050.05, Γ/H=1\Gamma/H = 12020), a single Mukhanov–Sasaki/Bogoliubov computation simultaneously yields three linked data-conditioned inferences from one parameter set:

(i) An IR consistency-ratio deviation Q(k)<1Q(k) < 1 (~6%–70%, scale-dependent);

(ii) Ring-down oscillations with phase-stable behavior in the amplitude-relevant region (internal consistency check — passes for all 125 points, confirming phase coherence but not independently constraining the parameter space);

(iii) Non-Gaussianity suppression by the same occupancy factor (RfNL(k)=Q(k)R_{f_{NL}}(k) = Q(k)).

The standard limit Q=1Q = 1 is recovered at the pivot scale. This is falsifiable with future low-\ell B-mode measurements.


2. What Is New

  • One solver, three channels. All three observables (QQ, ring-down, fNLf_{NL}) are computed from a single call to the Mukhanov–Sasaki solver with Bogoliubov matching at η0\eta_0. They are not independent fits — they are three consequences of one mechanism.

  • Phase-metric correction. The ring-down phase ϕk=arg(αkβk)\phi_k = \arg(\alpha_k \beta_k^\ast) is evaluated only where observationally relevant (amplitude-weighted mask, >1%>1\% of peak). This removes branch-cut artifacts at high kk where βk0|\beta_k| \to 0.

  • Manuscript point passes all three channels. At k0=0.002k_0 = 0.002, εH=0.01\varepsilon_H = 0.01, Γ/H=5.0\Gamma/H = 5.0: Channel 1 (Q) PASS, Channel 2 (ring-down) PASS, Channel 3 (fNLf_{NL}) PASS.


3. Data

PropertyValue
SourceBICEP/Keck 2018 + Planck 2018 + BAO joint analysis
Chain setBK18_17_BK18lf_freebdust_incP2018_BAO
OriginNASA LAMBDA (https://lambda.gsfc.nasa.gov/product/bicepkeck/)
Raw samples1,948,224
Effective samples4,593,771 (weighted)
rr0.016268±0.0101340.016268 \pm 0.010134 (free parameter)
nsn_s0.9669120.966912 (weighted mean)
ntn_tFixed to r/8-r/8 in chains (standard consistency relation)

The tensor spectral index ntn_t is not free in these chains. This is precisely the assumption being tested: the ToE predicts ntr/8n_t \neq -r/8 at low kk.


4. Method

4.1 ToE Parameters

These parameters are not present in BK18 chains. They define the decoherence mechanism:

ParameterValueRole
k0k_0scanned: 0.0005–0.01 Mpc1^{-1}IR feature scale, sets η0=1/k0\eta_0 = -1/k_0
εH\varepsilon_Hscanned: 0.001–0.05First slow-roll parameter
ηH\eta_H0.005 (fixed)Second slow-roll parameter
ss0.0 (fixed)Sound speed running
csc_s^\ast1.0 (fixed)Sound speed at horizon crossing
Γ/H\Gamma/Hscanned: 1–20Decoherence rate

4.2 Computation Pipeline

For each parameter point (k0,εH,Γ/H)(k_0, \varepsilon_H, \Gamma/H):

  1. Instantiate ToETheoryErrorEval (from src/toe_decoherence_validation/toe_theory.py).
  2. Call _compute_ms_on_sparse_grid(k_grid, eta_0, c_s, eps_H, eta_H, s, Gamma_over_H).
  3. This single call returns: nˉk\bar{n}_k, ϕk\phi_k, θk\theta_k, AringA_\text{ring}, rkr_k at each kk.
  4. From these, compute:
    • Channel 1: Q(k)=cs/(1+2nˉk)Q(k) = c_s^\ast / (1 + 2\bar{n}_k)
    • Channel 2: Aring(k)A_\text{ring}(k), ϕk(k)\phi_k(k) (with amplitude-weighted phase mask)
    • Channel 3: RfNL(k)=1/(1+2nˉk)=Q(k)/csR_{f_{NL}}(k) = 1/(1 + 2\bar{n}_k) = Q(k)/c_s^\ast

All three channels emerge from the same Bogoliubov coefficient βk\beta_k. No additional fitting.

4.3 Channel Pass Criteria

ChannelCriterionPhysical meaning
1 (Q)1Qk0.0020.05\langle 1-Q \rangle_{k \leq 0.002} \geq 0.05 AND $1-Q(0.05)
2 (ring-down)Aring,rms(IR)>106A_\text{ring,rms}(\text{IR}) > 10^{-6} AND ϕk\phi_k smooth where W(k)>0.01WmaxW(k) > 0.01 \cdot W_\text{max}Nonzero oscillation amplitude + stable phase
3 (fNLf_{NL})RfNLk0.002<0.95\langle R_{f_{NL}} \rangle_{k \leq 0.002} < 0.95Suppression 5%\geq 5\% in IR

Phase weight: W(k)=Aring(k)(1+2nˉk)W(k) = A_\text{ring}(k) \cdot (1 + 2\bar{n}_k). Points with W<1%W < 1\% of maximum are masked (phase undefined where βk0|\beta_k| \to 0).


5. Results

5.1 Main Quantitative Result: IR Deviation from Q=1Q = 1

At the manuscript reference point (k0=0.002k_0 = 0.002, εH=0.01\varepsilon_H = 0.01, Γ/H=5.0\Gamma/H = 5.0):

kk [Mpc1^{-1}]nˉk\bar{n}_kQ(k)Q(k)1Q(k)1 - Q(k)Note
0.00051.559×1011.559 \times 10^{-1}0.762323.8%Maximum effect
0.00103.772×1023.772 \times 10^{-2}0.92997.0%
0.00203.252×1023.252 \times 10^{-2}0.93896.1%k0k_0
0.00501.651×1031.651 \times 10^{-3}0.99670.33%
0.01001.874×1051.874 \times 10^{-5}0.999960.004%
0.02002.277×1072.277 \times 10^{-7}1.000000~0
0.05001.257×1091.257 \times 10^{-9}1.000000~0Pivot (null test)

Mean IR deviation (k0.002k \leq 0.002): 12.3%. Pivot: Q=0.9999999975Q = 0.9999999975 (1\approx 1 to 9 decimal places).

5.2 Joint-Channel Consistency

Scan: 5 values of k0k_0 × 5 values of εH\varepsilon_H × 5 values of Γ/H\Gamma/H = 125 points.

ChannelPass rate
1 (Q deviation in IR)75/125 (60%)
2 (ring-down)125/125 (100%)
3 (fNLf_{NL} suppression)75/125 (60%)
All three simultaneously75/125 (60%)

The 75 feasible points span k0{0.002,0.005,0.01}k_0 \in \{0.002, 0.005, 0.01\} at all tested εH\varepsilon_H and Γ/H\Gamma/H. The 50 non-feasible points have k0{0.0005,0.001}k_0 \in \{0.0005, 0.001\} where the mean IR deviation is below the 5% threshold (individual kk-point deviations reach 6–7%, but the mean across the IR window k0.002k \leq 0.002 does not meet the criterion due to the coarse kk-grid in that region).

Note on Channel 2: Ring-down passes for all 125 points (100%). After implementing the gauge-robust complex-phase metric (Δϕk=arg(uk+1uk)\Delta\phi_k = \arg(u_{k+1} u_k^\ast) with amplitude-weighted edges), the phase is smooth wherever observationally relevant (phase score 0.98 at manuscript point, weighted Δϕ=0.067|\Delta\phi| = 0.067 rad, well below π/2\pi/2 threshold). This channel serves as an internal consistency check confirming that the MS solver produces physically coherent phase behavior. The feasible region is determined by Channels 1 and 3; Channel 2 confirms phase coherence across the entire tested domain.

Phase metric robustness: at the manuscript point, 4 of 7 kk-points are significant (obs_weight >1%> 1\% of max). The remaining 3 points (k0.02k \geq 0.02) have βk0|\beta_k| \to 0 and are correctly masked as phase-undefined.

Manuscript point (k0=0.002k_0 = 0.002, εH=0.01\varepsilon_H = 0.01, Γ/H=5.0\Gamma/H = 5.0): ALL THREE PASS.

5.3 Data-Conditioned Inference of ToE-Induced Deviation

This section reports a data-conditioned inference of ToE-induced deviation, not a standalone prediction and not a detection.

Operationally, we took the observed BK18 posterior values of rr (from chains with nt=r/8n_t = -r/8), propagated them through the Mukhanov–Sasaki solver with fixed ToE parameters, and computed ΔQ(k)QToE(k;rBK18)1\Delta_Q(k) \equiv Q_\text{ToE}(k;\, r_\text{BK18}) - 1.

Therefore, what is inferred here is the ToE-implied departure from the consistency baseline Q=1Q = 1 conditioned on real BK18 data for rr. What is not done here is a direct data measurement of Q(k)Q(k) (or free-ntn_t inference of ntn_t) from polarization data; in BK18, ntn_t is fixed, so the chains encode Q=1Q = 1 by construction.


6. Null Test: Pivot Scale

At k=0.05k = 0.05 Mpc1^{-1} (Planck pivot), the mode is deep sub-horizon at η0\eta_0 (k/k0=25k/k_0 = 25 for manuscript k0k_0). The Bogoliubov coefficient βk0\beta_k \to 0, giving nˉk109\bar{n}_k \approx 10^{-9} and Q=1.000000000Q = 1.000000000.

This is physically expected: decoherence at η0\eta_0 does not affect modes that are deep sub-horizon at that time. The ToE reduces to standard inflation at the pivot scale.

This null test is passed for all 125 parameter points in the scan.


7. Robustness

7.1 Sensitivity to εH\varepsilon_H

The consistency ratio Q(k)Q(k) is nearly independent of εH\varepsilon_H in the tested range (0.001–0.05). At fixed k0=0.002k_0 = 0.002:

εH\varepsilon_Hmax(1Q)(1-Q)
0.00123.6%
0.00523.7%
0.01023.8%
0.02024.0%
0.05024.7%

Variation: <1< 1 percentage point across a factor-50 range in εH\varepsilon_H. The effect is controlled by k0k_0 (horizon geometry at η0\eta_0), not by slow-roll details.

7.2 Sensitivity to Γ/H\Gamma/H

Γ/H\Gamma/H does not affect Q(k)Q(k) or fNLf_{NL} suppression (identical values for all Γ/H\Gamma/H at fixed k0k_0, εH\varepsilon_H). It affects only the ring-down damping rate: larger Γ/H\Gamma/H suppresses oscillation amplitude faster.

7.3 k0k_0 as the Key Parameter

k0k_0 determines the scale and amplitude of the ToE effect:

k0k_0 [Mpc1^{-1}]max(1Q)(1-Q)Mean IR deviation
0.00056.3%below threshold
0.0017.0%below threshold
0.00223.8%12.3%
0.00579.7%41.8%
0.0196.9%70.8%

The ToE-implied deviation is a family of curves parameterized by k0k_0. Constraining k0k_0 from data is the key next step.

7.4 Quasi-Invariant Q(k0)0.94Q(k_0) \approx 0.94

At k=k0k = k_0 (the decoherence scale), Q(k0)0.94Q(k_0) \approx 0.94 across all tested εH\varepsilon_H values. This is a candidate structural invariant of the matching prescription, arising because nˉk(k0)\bar{n}_k(k_0) is determined by horizon geometry at η0\eta_0, not by slow-roll parameters.


8. Falsification Criteria

8.1 Confirmation

The ToE receives support if, in an analysis with free ntn_t and low-\ell B-mode data:

  1. The posterior prefers Q(k)<1Q(k) < 1 at kk0k \lesssim k_0 with >3σ> 3\sigma significance;
  2. The scale dependence matches the ToE-implied form (stronger in IR, vanishing at pivot);
  3. The three channels (QQ, ring-down, fNLf_{NL}) are jointly consistent from one parameter set.

8.2 Refutation

The ToE is refuted if data with free ntn_t yield:

  1. Q(k)=1Q(k) = 1 at low kk within errors incompatible with the ToE-implied 6–70%;
  2. No scale-dependent enhancement toward the IR;
  3. Robustness under marginalization over ToE parameters.

8.3 Inconclusive

If uncertainties on ntn_t at low kk exceed the ToE-implied Δnt\Delta n_t, the result is non-discriminating.


9. Limitations

LimitationImpactPath forward
ToE parameters fixed (not marginalized)nˉk\bar{n}_k amplitude depends on k0k_0, εH\varepsilon_HFull MCMC with ToE parameters free (src/toe_decoherence_validation/run_mcmc.py)
ntn_t not free in BK18 chainsCannot test Q1Q \neq 1 from data directlyMCMC with free ntn_t (implemented)
Instantaneous matching at η0\eta_0Leading-order approximationFinite-width transition analysis
No independent replicationSingle codebaseOpen code, reproducible pipeline
Scan covers 3 of 6 ToE parametersηH\eta_H, ss, csc_s^\ast fixedExtended scan in future work
Phase metric uses 1% amplitude thresholdThreshold choice affects channel 2Appendix A documents the definition

10. Reproducibility

All code and data are open:

# Extract BK18 chains
tar xzf modeling/chains_no_data_files.tar.gz -C /tmp/bk18_chains/

# Single-point evaluation (manuscript parameters)
python src/toe_decoherence_validation/evaluate_bk18.py

# Sensitivity map (k0 × eps_H scan)
python src/toe_decoherence_validation/evaluate_bk18_map.py

# Joint analysis (three channels, 125 points)
python src/toe_decoherence_validation/joint_analysis.py

Physics implementation: src/toe_decoherence_validation/toe_theory.py, imports MS solver from src/toe_decoherence_validation/mukhanov_sasaki.py.

All plots generated automatically in plots/.


Appendix A: Phase Metric Definition

The ring-down phase ϕk=arg(αkβk)\phi_k = \arg(\alpha_k \beta_k^\ast) is physically meaningful only where the Bogoliubov coefficient βk|\beta_k| is nonzero. At high kk (kk0k \gg k_0), βk0|\beta_k| \to 0 and the phase is numerically undefined.

The gauge-robust complex-phase weighted metric (implemented per companion recommendation):

  1. Construct unit complex phase vector: uk=eiϕku_k = e^{i\phi_k}
  2. Compute local phase step: Δϕk=arg(uk+1uk)\Delta\phi_k = \arg(u_{k+1} \cdot u_k^\ast) — this is gauge-invariant and removes branch-cut artifacts
  3. Compute observational weight: W(k)=Aring(k)(1+2nˉk)W(k) = A_\text{ring}(k) \cdot (1 + 2\bar{n}_k)
  4. Mask points where W(k)<0.01max(W)W(k) < 0.01 \cdot \max(W) (phase observationally irrelevant)
  5. Compute edge weights: wedge=12(Wk+Wk+1)w_\text{edge} = \frac{1}{2}(W_{k} + W_{k+1}), normalized to sum to 1
  6. Weighted absolute phase variation: Δϕw=wedgeΔϕk\langle|\Delta\phi|\rangle_w = \sum w_\text{edge} \cdot |\Delta\phi_k|
  7. Phase score: Sϕ=clip(1Δϕw/π,  0,  1)S_\phi = \text{clip}(1 - \langle|\Delta\phi|\rangle_w / \pi,\; 0,\; 1)
  8. Pass criterion: Δϕw<π/2\langle|\Delta\phi|\rangle_w < \pi/2
  9. If fewer than 2 significant points: status = undetermined (not pass)

At the manuscript point: Sϕ=0.98S_\phi = 0.98, Δϕw=0.067\langle|\Delta\phi|\rangle_w = 0.067 rad, 4 significant points.


Figures

  • Figure 1: Three channels at manuscript point (k0=0.002k_0 = 0.002, εH=0.01\varepsilon_H = 0.01, Γ/H=5\Gamma/H = 5). Left: Q(k)Q(k) and RfNL(k)R_{f_{NL}}(k). Right: Aring(k)A_\text{ring}(k) and ϕk\phi_k (unwrapped, masked). → plots/joint_three_channels.png

  • Figure 2: Sensitivity heatmap: k0×εHmax(1Q)k_0 \times \varepsilon_H \to \max(1-Q). → plots/sensitivity_max_deviation.png

  • Figure 3: Joint feasibility map: number of channels passing (0–3) at each (k0,εH)(k_0, \varepsilon_H). → plots/joint_feasibility_map.png

  • Figure 4: Ring-down amplitude Aring(k)A_\text{ring}(k) vs Γ/H\Gamma/H. → plots/ringdown_vs_gamma.png


References

  1. R. Marozau, "A Theory of Everything from Internal Decoherence, Entanglement-Sourced Stress–Energy, Geometry as an Equation of State of Entanglement, and Emergent Gauge Symmetries from Branch Algebra" (manuscript).

  2. P. A. R. Ade, Z. Ahmed, M. Amiri, D. Barkats, R. Basu Thakur, C. A. Bischoff, D. Beck, J. J. Bock, H. Boenish, E. Bullock et al. (BICEP/Keck Collaboration), "Improved Constraints on Primordial Gravitational Waves using Planck, WMAP, and BICEP/Keck Observations through the 2018 Observing Season," Phys. Rev. Lett. 127, 151301 (2021). doi:10.1103/PhysRevLett.127.151301

  3. N. Aghanim, Y. Akrami, M. Ashdown, J. Aumont, C. Baccigalupi, M. Ballardini, A. J. Banday, R. B. Barreiro, N. Bartolo, S. Basak et al. (Planck Collaboration), "Planck 2018 results. VI. Cosmological parameters," Astron. Astrophys. 641, A6 (2020). doi:10.1051/0004-6361/201833910


Document generated from src/toe_decoherence_validation/ pipeline using BK18 public chains (NASA LAMBDA) and ToE physics from src/toe_decoherence_validation/toe_theory.py. All results reproducible via commands in Section 10.

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