Which Particles Defy Their Own Layer? Pre-Registered Rank Divergers in the Standard Model
After confirming FPL in the Standard Model (M_PHYSICS_1, 5/5), we pre-registered structural rank-diverger predictions for all 17 particles: photon and gluon rank top-3 in force coupling but bottom-2 in mass proximity (rank gap=13-14). Null model: all layer pairs significant (p<=0.030). Confirmed 7/10 pre-registered hypotheses across two experiments. One informative denial: higgs tied at degree=3 with bottom, top, and z_boson -- revealing ranking sensitivity to degree ties.
Background
In a prior experiment, we confirmed that the Functional Proximity Law holds across the Standard Model: hub rank in force_coupling correlates with hub rank in decay_channel more than with mass_proximity (5/5 pre-registered hypotheses confirmed). The W boson was the top hub in both force coupling and decay.
The obvious next question: which specific particles are structural rank outliers -- particles that rank very differently across layers?
This is a discovery-mode question. FPL tells us the law holds; diverger analysis tells us who breaks the pattern.
The Two Experiments
M_PHYSICS_2_divergers_v1 (pre-registered 2026-06-02T16:55:39, hash 6119706e...): 5 hypotheses about which particles would show the largest rank gaps between layers, and whether the diverger count would exceed chance.
M_PHYSICS_3_v1 (pre-registered 2026-06-02T17:23:23, hash 08d934fe...): 5 hypotheses adding permutation-based significance tests (p-values via 500 label shuffles), re-specifying two errored test types from M_PHYSICS_2, and testing the decay channel hub prediction.
Both datasets: sm_particles.json, n=17 particles, 3 layers (force_coupling, decay_channel, mass_proximity), source: PDG 2024.
What IRDME Found
Force Coupling vs Mass Proximity: Rank Gap = 13
- The largest rank separation was between force_coupling and mass_proximity:
- photon: force_coupling rank #3 (degree=10), mass_proximity rank #16 (degree=1). Gap = 13.
- gluon: force_coupling rank #4 (degree=7), mass_proximity rank #14 (degree=1). Gap = 10-13.
Photon couples to all electrically charged particles (high force degree) but is massless (minimal mass proximity connections). This rank separation is consistent with known physics: massless force mediators are structurally distinct from massive particles.
h4 (M_PHYSICS_2): at least 3 particles with rank gap >= 10 between force and mass -- CONFIRMED (8 particles showed divergence).
Force Coupling vs Decay Channel: Photon Is Invisible in Decays
Between force coupling and decay channel, photon showed the largest gap: force rank #3, decay rank #17. Gluon: force rank #4, decay rank #16. Both particles mediate forces but rarely appear as endpoints in decay products.
Conversely, muon (force rank #14, decay rank #4) and tau (force rank #11, decay rank #3) show the reverse: high in decay products, low in force coupling.
The Persistent Hubs
Across all three layers, three particles consistently rank in the top 5: w_boson, z_boson, higgs. The W boson was confirmed as rank #1 in mass_proximity (M_PHYSICS_3 h2: CONFIRMED).
Significance Tests (M_PHYSICS_3)
- Permutation-based p-values (500 label shuffles per pair):
- r(force_coupling, mass_proximity) = 0.501, p = 0.026 -- CONFIRMED (h1)
- r(force_coupling, decay_channel) = 0.569, p = 0.020 -- CONFIRMED (h4)
- Null model (200 permutations): all three layer pairs significant at p <= 0.030
The rank separation survives label randomization. It is not a degree-distribution artifact.
The Informative Denial
h3 predicted higgs in top-4 of mass_proximity. Result: DENIED -- higgs ranks #5.
Why: bottom quark, top quark, and z_boson all share degree=3 in mass_proximity (same as higgs). The engine's tie-breaking placed higgs at rank 5. The prediction needed max_rank=5 to account for the four-way tie.
This denial is not a scientific failure -- it reveals a metric sensitivity issue. When four particles share the same degree, rank predictions must account for ties. This is a useful calibration finding for designing future hypotheses.
Full Verdict Summary
M_PHYSICS_2 (5 hypotheses): 3/5 CONFIRMED, 2 UNRESOLVED (delta_centrality_direction test type not supported -- re-tested in M_PHYSICS_3).
M_PHYSICS_3 (5 hypotheses): 4/5 CONFIRMED, 1/5 DENIED (higgs tie).
Combined (10 hypotheses, excluding 2 re-specified errors): 7/8 CONFIRMED, 1/8 DENIED.
Honest Interpretation
What this shows: IRDME rank separation in the Standard Model is statistically significant (p <= 0.030) and consistent with known particle physics structure. Photon and gluon rank as outliers between layers in a way that matches what physicists know about massless force mediators.
What this does not show: these are not newly discovered particle categories. The rank clusters (high-force/low-mass, persistent cross-layer hubs, high-decay/low-force) correspond to structure that particle physicists already know. IRDME recovers it, which is a validation result, not a discovery result.
What is still pending: a baseline comparison against degree-only ranking and PCA. Without this, we cannot claim IRDME adds unique explanatory value beyond simpler rank methods. That comparison is the next step in this chain.
What Comes Next
- Two open questions from this chain:
- Baseline comparison: Does a simple degree-rank-difference analysis produce the same diverger list as IRDME? If yes, IRDME's framing is equivalent to simpler methods in this domain. If no, IRDME captures something additional.
- Beyond Standard Model: Hypothetical BSM (beyond Standard Model) particles have predicted force couplings and mass ranges. Would they fit into existing rank clusters or create new ones? This is a forward-looking structural prediction test.
Pre-Registration Record
M_PHYSICS_2: hash 6119706e59832266aa44352dcad16f53fdac3128931bf9821f1e1701ae7a589c, timestamp 2026-06-02T16:55:39+00:00, commit e4f5550
M_PHYSICS_3: hash 08d934fe14f6a25f38655b4bec6beb937190948febf5acd6320981d08ba63206, timestamp 2026-06-02T17:23:23+00:00, commit e181948
Full experiment record: github.com/vladi160/preregistrations
Reproducibility
This result was pre-registered before analysis. SHA-256 hash: 6119706e59832266aa44352dcad16f53fdac3128931bf9821f1e1701ae7a589c
Verify at github.com/vladi160/preregistrations