Script on the left, output on the right. Each entry pairs the executable code with the data it produced, so every claim links back to something reproducible. Test outcomes feed back into Research Notes as confirmations or course-corrections.
These are the test rigs: HPC simulation campaigns, coupled-cavity sweeps, the joint 7-vector operator search, and the prediction–observation matchups that turn cipher predictions into supported, refuted, or open status. Failed predictions are shown alongside successful ones — the value of an experiment is what it tells you, not which side of the hypothesis it lands on.
Test JJ Phase 1 looks for *emergent* spectral behavior when two FDTD cavities are coupled and driven slightly out of balance. The theory predicts that the seven foundational geometric expressions should *compose* when geometries couple — producing a joint fingerprint distinct from the sum of two sin...
The 256³ pulsed FDTD simulation is the grid-convergence test for Paper 7's universe-birth cascade prediction. Tests whether the framework's predicted shell perturbation amplitude (10⁻⁶, matching CMB observation) is grid-resolution-independent or is an artifact of the simulation discretization.
Compu...
HPC-039 tested rotationally symmetric cavities from {5}-fold to {15}-fold under 96³ FDTD, measuring self-resonance error and void contrast for each.
Headline finding: {7}-fold cavities are uniquely self-resonant at 2.7% error. All other geometries show 8% to 56% self-resonance error. The {7}-fold ca...
SIM-003 v6c is the current version of a long-running simulation attempting to *derive* the framework's foundational r = 0.5 decoherence ceiling from cone-cascade geometry, rather than impose it as a parameter.
Why this matters. r=0.5 governs the entire dimensional cascade — when overflow occurs, the...
HPC-032 tested whether the sphere is the geometric uniformity maximum that cavities approach (conventional wisdom) or whether the icosahedral family beats it (framework prediction). Nine geometries swept under 96³ FDTD.
Headline finding: three geometries beat the sphere.
Icosahedron: 1.04 vs sphere...
HPC-028 followed up on HPC-027 by characterizing the frequency selectivity of the optimal bicone geometries. The question: is the 3,428× concentration broadband (geometric) or narrowband (resonance-tuned)?
Headline finding: broadband. The optimal 35° bicone maintains >2,000× concentration from 200 G...
HPC-027 swept bicone half-angles from 10° to 60° in 5° steps under 96³ FDTD. The result: 35° half-angle gives 3,428× peak EM concentration, with the 30°–40° range all giving over 2,000×.
Why 35°. The bicone waist is where standing-wave nodes from both cones overlap. The optimal half-angle places tho...
HPC-024 was an early test of the angular-deficit hypothesis: that geometric concentration in cone-like or pinch geometries should scale with the local framerate. Seven geometries swept on 64³ FDTD: bicone, cone, pyramid, double-pyramid, sphere control, hemisphere, torus.
Headline finding: geometries...