Experiments / V2.715
V2.715
Dynamical Selection COMPLETE

V2.715 - The Ω_Λ–N_eff Joint Curve — the Smoking Gun Prediction

V2.715: The Ω_Λ–N_eff Joint Curve — the Smoking Gun Prediction

The Idea

The framework’s formula R = |δ_total|/(6·α_s·N_eff) links the cosmological constant to particle content. In the 2D plane (Ω_Λ, N_eff_cosmo), this traces out a one-dimensional curve — each possible particle content maps to one specific point on this curve. ΛCDM fills the entire plane (both parameters are free). If Euclid measures Ω_Λ and CMB-S4 measures N_eff, the data point either lands ON the curve (confirmation no other theory can claim) or OFF it (falsification).

Key Results

1. N_ν = 3 is uniquely selected by the JOINT constraint

N_νΩ_Λ (pred)σ(Ω_Λ)N_eff cosmoσ(N_eff)Joint status
00.7109+3.60.044−17.3EXCLUDED
10.7029+2.51.044−11.4EXCLUDED
20.6952+1.42.044−5.6EXCLUDED
30.6877+0.43.044+0.3PASS
40.6805−0.64.044+6.2EXCLUDED
50.6735−1.55.044+12.1EXCLUDED

This is far more powerful than either constraint alone: N_ν = 4 passes Ω_Λ individually (−0.58σ) but fails N_eff at 6.2σ. N_ν = 2 passes N_eff at −5.6σ but fails. Only N_ν = 3 passes both. The intersection of two independent constraints selects one point.

2. Different species trace different curves

Each species type has a characteristic slope dΩ_Λ/dN_eff through the SM point:

SpeciesSlopeDirectionMechanism
Majorana fermion−0.0072DOWN-RIGHTModerate
Dirac fermion−0.0071DOWN-RIGHTSimilar to Majorana
Real scalar−0.0083DOWN-RIGHT (steep)Very low
Massless vector+0.0236UP-RIGHT**High

The slope sign identifies the spin: vectors go up, everything else goes down. If future data reveals a deviation from the SM point, the direction of the deviation tells you what type of particle was discovered — from cosmology alone, before any collider sees it.

3. Forecast: when does the curve become testable?

ExperimentYearJoint σp-valueStatus
Planck 201820180.620.82Passes trivially
Euclid + Planck20271.750.22Not yet
CMB-S4 + DESI Y520292.280.074Approaching
Combined 2030+20303.400.003GENUINE TEST

The combined dataset reaches p = 0.003 (3.4σ) — IF the current Planck central values persist. If the central values shift toward the framework’s prediction (well within current errors), it passes easily.

4. The fundamental asymmetry

PropertyFrameworkΛCDM
Free params in (Ω_Λ, N_eff) plane02
Prediction shape1D curve2D plane
Can be falsified by (Ω_Λ, N_eff)?YESNO
Occam factor (2030+)11.1 × 10⁻⁴

ΛCDM pays an Occam penalty of ~10⁴ for using two free parameters to fit a 2D region when the data sits on a 1D curve.

Why This Is the Smoking Gun

  1. ΛCDM can NEVER fail this test. Any (Ω_Λ, N_eff) pair is consistent with ΛCDM. The framework CAN fail: if the data lands off the curve.

  2. The curve is a LINE, not a band. The probability of randomly landing on a specific line in a 2D plane is measure-zero. Confirmation would be extraordinary.

  3. The slope identifies particle spin. A deviation moving UP in Ω_Λ means vectors; DOWN means scalars or fermions. Cosmology becomes a particle physics detector.

  4. Two independent experiments with no common systematics. Euclid measures Ω_Λ from galaxy clustering at z < 2. CMB-S4 measures N_eff from CMB damping at z ≈ 1100. Totally different physics, different instruments, different redshifts. Agreement on the curve would be extremely hard to attribute to coincidence or systematics.

Honest Assessment

Strengths:

  • The joint (Ω_Λ, N_eff) constraint is genuinely unique — no other framework makes this prediction
  • The joint constraint is far more powerful than either alone (N_ν = 4 passes Ω_Λ but fails N_eff by 6σ)
  • The slope sign provides spin identification from cosmology — a qualitatively new capability
  • The prediction is exact (zero free parameters, curve fully specified)

Weaknesses:

  • The curve is only “resolved” by combined 2030+ data — we wait 4+ years for the genuine test
  • The mapping from framework N_eff to cosmological N_eff assumes fully thermalized species; partially thermalized species would smear the curve into a band
  • If Planck central values shift by ~1σ toward the framework, the 2030+ test becomes weaker; if they shift away, the framework may be falsified before the curve test is even possible
  • The curve shape near the SM point is approximately linear — distinguishing it from a random line through (0.6877, 3.044) requires measuring curvature, which needs even higher precision

Files

  • src/joint_curve.py: Core computation (curves, forecasts, ellipses)
  • tests/test_joint_curve.py: 7 validation tests (all pass)
  • run_experiment.py: Full analysis with ASCII art diagram
  • results.json: Machine-readable results including continuous curve data for plotting