Reliability & Structural Diagnostics Layer

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τ

UNNS Laboratory v0.9.2

Reliability & Structural Diagnostics Layer

The first τ-Field Laboratory capable of evaluating not only molecular spectra,
but its own predictions — introducing the Quality Geometry layer.

Research Preview UNNS Lab τ-Field Geometry

Abstract. UNNS Laboratory v0.9.2 introduces a new layer of scientific analysis: Quality Geometry, the first diagnostic framework able to distinguish between τ-field structural adequacy, dataset precision, and manifold-level reliability. This is not a minor revision of v0.9.1 — it marks the transition from a matching engine to a τ-Field diagnostic instrument, enabling molecule-independent comparison, structural confidence scoring, and the first unified τ-reliability index.

Chamber XXI as a Bridge Between Nuclear Microstructure and Recursive Substrate

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Experiment 8 — Chamber XXI: τ-Microstructure Spectral Chamber (τ-MSC)

Research → Lab Phase IV Complete UNNS Lab v0.4.2 Chamber XXI

XXI
Chamber XXI glyph — concentric τ-curvature shells with a single τ-probe orbiting inside the nuclear micro-volume.
τ-torsion spiral — the micro-probe samples a rotating τ-gradient, encoding local curvature and torsion into a synthetic hyperfine trace.

Chamber XXI is a microscopic τ-field playground. It renders τ-curvature microstructure, τ-torsion and a synthetic hyperfine response in a 4-pane layout, providing a visual analogue of magnetization-distribution effects and finite-size corrections in τ-field language.

Abstract

The τ-Microstructure Spectral Chamber (τ-MSC) is a dedicated microscopic τ-field chamber inside the UNNS Empirical Testing Laboratory v0.4.2. It combines four synchronized panels: (1) a τ-field micro-chamber with radial shells and spiral microstructure; (2) a synthetic hyperfine spectrum; (3) an effective nuclear magnetization-distribution profile (Bohr–Weisskopf-like); (4) a diagnostic gauge cluster reporting ⟨κ⟩, ⟨τ⟩ and Eeff.

The goal is not to simulate a specific real molecule in detail, but to provide a τ-field template for how nuclear τ-curvature and τ-torsion could imprint themselves on electronic hyperfine structure. Calibration against real data (RaF) is supplied at the level of conceptual scale-matching, not as a hard constraint on the underlying UNNS dynamics.

UNNS Laboratory · τ-Field Substrate

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UNNS Lab v0.9.1 — τ-Coupling Engine and Real Data Assimilation

A τ-field–driven comparison engine that brings real hyperfine spectra into the UNNS Substrate: from τ-MSC simulations and τ-projection, through χ² normalization, to multi-manifold τ-hyperfine coupling.

UNNS Lab τ-Field τ-MSC / Real Data v0.9.1 · Research Preview
Abstract. UNNS Lab v0.9.1 introduces a χ²-normalized τ-Coupling Engine that can be applied directly to real hyperfine spectroscopy data. τ-MSC simulations are calibrated against experimental frequencies, matched line-by-line, grouped into hyperfine manifolds, and evaluated using a normalized χ² that remains meaningful across light and heavy molecules. A new τ-hyperfine coupling layer then extracts global parameters such as ΔC and gω, revealing whether the τ-Microstructure Hypothesis is consistent with real spectra. This article explains the architecture of v0.9.1, the role of χ² normalization, and how the RaF testbed demonstrates stable τ-coupling across multiple manifolds.

Chamber XX — Phase F Maxwell-Analog Bridge

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Phase F UNNS Labs Recursive Geometry Maxwell-Analog Dynamics
Phase E → Phase F

The Chamber XX Phase F Bridge introduces the first operational translation of recursive tensor geometry into Maxwell-analog field dynamics within the UNNS Substrate. Extending the recursion tensor Rij = Oi(τi) − Oj(τj), the chamber computes its divergence Φ = ∇·R and curl Ψ = ∇×R to reveal dual-field coupling — the emergence of electric-like and magnetic-like behaviors inside a purely discrete recursive system.

Chamber XIX — Recursive Tensor Field Explorer

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E

Phase E • UNNS High-Order Operators Laboratory

The Phase E reference chamber of the UNNS Substrate. It measures curvature asymmetry between τ-fields through Rij = Oi(τi) − Oj(τj), establishing the tensor foundation for upcoming Phase F divergence dynamics.

  1. UNNS Advanced Field Explorer | UNNS.tech
  2. The UNNS Neural Engine | UNNS.tech
  3. UNNS High-Order Operators Laboratory
  4. Lab Chamber XVIII — Recursive Geometry Coherence Validation Engine | UNNS.tech

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