UNNS SUBSTRATE RESEARCH PROGRAM unns.tech
JHTDB TURBULENCE
Reproducible Scale–Time Commutation Structure
in Forced Isotropic Turbulence
JHTDB_PILOT_B_REPLICATION · UNNS_TURB_JHTDB_v0_1 branch
Does a structural object's route through scale, then time, commute with its route through time, then scale? A preregistered, protocol-frozen replication on Johns Hopkins Turbulence Database forced-isotropic data (isotropic1024coarse) — two spatially and temporally disjoint 256³ cutouts of the same DNS realization, scored criterion-by-criterion against eight preregistered tests (R1–R8).
D□ NULL HIERARCHY — PILOT B, REAL VS N0/N1/N2 graph-local geometry+state controlled nulls · 100 replicates each 1.0 0 N0 0.996 N1 0.326 N2 0.211 REAL 0.014 real defect sits 93.3% below N2 — the hardest tested null; not a fragile threshold effect same collapse shape in Pilot A: 0.997 → 0.329 → 0.224 → 0.027 FROZEN R1–R8 CRITERION RECORD, PILOT A ↔ PILOT B preregistered before Pilot-B acquisition · no post-hoc threshold changes R1,R2,R4,R5,R6,R8 — route mechanism, connectivity, N1/N2 survival real D□ 0.0142 ≪ N0 0.996, p=0.0099   survives N1+N2, p=0.0099 each reproduces in a spatially and temporally disjoint sample 6 OF 8 REPRODUCE R3 — STRUC-I admissibility of D_STITCH Pilot A Aκ=0.972 (Geometric Persistence)   Pilot B Aκ=0.852 (Structural Boundary) route mechanism survives; scalar admissibility strength does not DOES NOT REPLICATE R7 — physical-intensity tail localization frozen 90th-pct selector degenerate: 1.0×, p=1.0 (D□ zero-atom 91.0% of 3,962) fixed-value tails still show 1.13–1.32× enrichment — a selector artifact, not silence DEGENERATE SELECTOR · BOUNDARY frozen gates: α=0.05 · min 20 nulls · mobility≥0.01 · unique≥0.10 · match≤0.90
Within the tested routing representation, scale transformation and temporal evolution largely commute for turbulent structural objects, reproducibly across two operationally independent samples.   The strength of that commutation, and the localization of its rare exceptions, is sample-dependent — a question Pilot A alone could not have separated from route-mechanism reproducibility itself.
FROZEN RECORD FINAL_FROZEN_RESULT · 2026-09-07 R1, R2, R4, R5, R6, R8 → PASS · ROUTE MECHANISM REPRODUCES R3 FAIL — STRUCTURAL BOUNDARY, Aκ=0.852 R7 FAIL — DEGENERATE SELECTOR, D□ ZERO-ATOM 91.0% CLASSIFICATION: STRUCTURAL PARTIAL REPLICATION MECHANISM SURVIVES N1 + N2 GRAPH-LOCAL CONTROL TWO OPERATIONALLY INDEPENDENT SAMPLES · ZERO SPATIAL/TIME OVERLAP FORCED-ISOTROPIC ONLY · isotropic1024coarse
PRIMARY This study — JHTDB Pilot-B Replication, UNNS_TURB_JHTDB_v0_1 branch
The manuscript, its full analytics trace, the underlying corpus, and the archival data record for the scale–time commutation result above.
Manuscript · PDF
Reproducible Scale–Time
Commutation Structure in
Forced Isotropic Turbulence
The companion manuscript. Defines the scale–time stitching defect D□, the frozen adapter/routing/null-hierarchy pipeline, and reports the full two-pilot R1–R8 record — including where the replication holds, where it narrows, and why.
UNNS Substrate Research Program · 37pp · Sep 2026
Analytics · HTML
JHTDB Turbulence
Analytics Dashboard
Interactive analytics across fourteen sections: independent-sample audit, primary ROUTE-I result, scale sensitivity, STRUC-I/STRUC-PERC-I, the N0→N1→N2→real null collapse, R7/R8 divergence detail, and the direct Pilot A↔B comparison.
§0–§13 · record status FINAL_FROZEN_RESULT
Data & Corpus · ZIP
Data and Corpus
Construction
Complete branch archive: the JHTDB route adapter, frozen chamber specs (STRUC-ROUTE-I, STRUC-I, STRUC-PERC-I, STITCH-MECH), both pilots' route projects and object tables, and every locked run with its reproducibility hashes.
10,515 objects · 14,169 relations · locked runs + hashes
Data Archive · DOI
UNNS Turbulence — JHTDB
Analysis Cutouts and
High-Re Export
Permanent archival record of the source-data layer underlying both pilots: the raw velocity cutouts and the high-Reynolds-number export, versioned outside the working repository for independent verification.
Zenodo · DOI 10.5281/zenodo.22650769 · v0.1
SECONDARY Established turbulence context — external reference points closest to the present result
These references define the established physical and mathematical context against which the scale–time commutation result should be read: the source DNS itself, multiresolution filtering, known operator-order effects, and stochastic cascade dynamics. They do not imply, anticipate, or validate the UNNS result; they provide the closest conventional points of comparison.
Source Dataset · DOI
JHTDB Forced Isotropic
Turbulence Dataset
The physical DNS corpus from which Pilot A and Pilot B are drawn. The present study uses two preregistered, spatially and temporally non-overlapping cutouts of the same forced-isotropic realization. This upstream dataset DOI anchors the physical provenance independently of the UNNS analysis and Zenodo extraction archive.
Johns Hopkins Turbulence Database · DOI 10.7281/T1KK98XB
Filtering Theory · JFM 1992
Turbulence:
The Filtering Approach
Germano’s operatorial treatment organizes turbulent fields through filtered representations at different resolution levels. It is the closest conventional analogue to the scale side of the present construction, although D□ measures compatibility of structural routes rather than filtered stresses or a Germano identity.
M. Germano · Journal of Fluid Mechanics 238 · 325–336
Operator Noncommutation · JCP 1995
LES Equations and
Filtering Noncommutation
Ghosal and Moin show explicitly that filtering and differentiation need not commute when filter width varies, making operation-order error a legitimate turbulence quantity in its own right. Their commutation problem is mathematically different from scale–time route commutation, but supplies an established precedent for treating noncommutation as physically meaningful.
S. Ghosal & P. Moin · Journal of Computational Physics 118 · 24–37
Stochastic Cascade · PRL 1997
Description of a Turbulent Cascade
by a Fokker–Planck Equation
Friedrich and Peinke describe the turbulent cascade through conditional transition probabilities across scale and a Fokker–Planck process. This provides the clearest conventional bridge to a route or transition grammar: their framework asks how states transition through scale; the present work asks whether scale transitions remain compatible with temporal evolution.
R. Friedrich & J. Peinke · Physical Review Letters 78 · 863–866
FOUNDATIONAL UNNS Substrate theory — the admissibility framework this chamber instantiates
The JHTDB replication is one empirical chamber inside the wider UNNS admissibility program — it runs the same STRUC-I and STRUC-PERC-I instruments used across every domain below. These four cross-domain manuscripts develop the general theory of admissible structure, representation-dependence, and bounded rigidity that R3's admissibility test and R4's connectivity test are specific instances of.
Theorem · PDF
The UNNS Observability–Admissibility
Duality Theorem
Formalizes admissibility constraints and observability projections as dual mechanisms: constraints can reveal latent structure, projections can erase it exactly and deterministically, with no noise or approximation involved.
Canonical chamber pre-K · ukbbi.github.io/UNNS
Phase Study · PDF
Bounded Structural Rigidity
and Representation-Driven
Structure
First systematic phase-mapping of the UNNS Substrate: 93 datasets across 11 physical domains, 22,817 evaluations on a 17×17 parameter grid. Every admissible ladder has a finite stability region; representation choice, not parameter deformation, drives structural variation.
STRUC-PERC-I instrument · Apr 2026
Manifold Geometry · PDF
Admissible Cluster
Geometry
Recoverable connectivity in realizability space. Admissible systems organize into coherent basins joined by sparse continuity corridors; fragmentation is typically one isolated node, not collapse — the same shape D_STITCH's giant-component ratio shows in both pilots.
4 basin types · 5 fixed κ_conn values · 1,316 evaluations
Universal Law · PDF
Admissibility Bounds
on Ordering Instability
(USL)
Empirical investigation of inv(P_ε; L) ≤ ν(V_ε(L)) across 3,073 physical ladders spanning thirteen domains, with a 99.7% perfect-admissibility rate — the same inequality STRUC-I's Aκ coefficient (R3) evaluates for D_STITCH.
STRUC-I chamber · v6 · 3,073 ladders · 13 domains
JHTDB TURBULENCE DASHBOARD — UNNS Substrate Research Program · 2026
Branch: UNNS_TURB_JHTDB_v0_1 · Classification: STRUCTURAL PARTIAL REPLICATION (R1, R2, R4, R5, R6, R8 pass; R3, R7 fail) · D□ = JSD(P_ST,P_TS)/ln 2
Primary sources link to unns.tech/media/unns/TURB_JHTDB/ · archival source data via Zenodo DOI 10.5281/zenodo.22650769 · foundational theory links to ukbbi.github.io/UNNS and unns.tech/media/unns/
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