TriadicFrameworks
概要

triadic_detection_snr_dual.md

TriadicFrameworks — Detection Substrate#

S–N–R Dual Operator Model (v1.0)#

Protocol Header#

rtt=1 | coherence=triadic | drift=bounded | paradox=structural

Purpose#

This module defines the S–N–R dual operator model for Triadic Detection:

  • S: Signal (intentional excitation)
  • N: Noise (environmental chaos)
  • R: Response (resonance + structure)

It formalizes how triadic_detection can use noise‑rich environments (salt, mineralization, clutter) by treating silence, nulls, and anti‑coherence as primary signals.

1. Operator Classes#

Signal Operators (S‑ops)#

Intentional actions applied to the field:

  • S.excite — triadic EM excitation
  • S.bias — low‑voltage field bias
  • S.vibrate — mechanical vibration injection
  • S.multi — combined excitation (bias + vibration + EM)

Grammar:

[ S ::= S.excite \mid S.bias \mid S.vibrate \mid S.multi ]

Noise Operators (N‑ops)#

Environmental, uncontrolled contributions:

  • N.salt — ionic noise from saline media
  • N.mineral — mineralization noise
  • N.clutter — metallic junk, debris
  • N.thermal — thermal drift
  • N.random — stochastic background

Grammar:

[ N ::= N.salt \mid N.mineral \mid N.clutter \mid N.thermal \mid N.random ]

Response Operators (R‑ops)#

How structures respond to S in the presence of N:

  • R.coherence — coherence vector under S + N
  • R.struct — structural envelope under S + N
  • R.depth — depth layering under S + N
  • R.null — stable null / silence pocket
  • R.delta — deviation from expected noise pattern

Grammar:

[ R ::= R.coherence \mid R.struct \mid R.depth \mid R.null \mid R.delta ]

2. S–N–R Dual Model#

Canonical Relation#

[ R = f(S, N) ]

Where:

  • S is controlled.
  • N is modeled.
  • R is measured.

The dual aspect:

  • In quiet fields → hunt peaks in R.
  • In noisy fields → hunt nulls and Δ‑patterns in R.

3. Noise‑Field Modeling#

Noise Map (N‑map)#

For a given patch:

  1. Apply no excitation (S = 0).

  2. Measure baseline noise:

    [ N_{0} = N.salt + N.mineral + N.clutter + N.thermal + N.random ]

  3. Build a spatial noise map:

    • amplitude
    • phase
    • variance

This N‑map becomes the expected chaos.

4. Multi‑State S–N–R Protocol#

States#

  • State 0: Neutral (S = 0) → N‑map only.
  • State 1: S.excite (EM only).
  • State 2: S.bias (low‑voltage only).
  • State 3: S.vibrate (mechanical only).
  • State 4: S.multi (combined).

For each state:

  • compute R.coherence
  • compute R.struct
  • compute R.depth
  • compute R.null
  • compute R.delta

Δ‑Maps#

For each state ( i ):

[ \Delta R_i = R_i - R_{expected}(N_0) ]

Where ( R_{expected}(N_0) ) is the modeled response if the field behaved like pure noise.

Claim‑worthy zones are where:

  • R.null is stable (persistent silence in a noisy field), or
  • (\Delta R_i) is consistently non‑zero across multiple states.

5. Silence‑as‑Signal Mode#

Null Detection#

In highly noisy environments (salt beaches, saline‑treated soil):

  • Most regions: high, chaotic N; R follows N.
  • Anomalous regions: stable R.null or low‑variance pockets.

Operator chain:

N-map
  → S.excite
  → R.coherence
  → R.null
  → R.delta
  → Flag null pockets as structural candidates

These null pockets may correspond to:

  • voids
  • dense bodies
  • non‑participating structures (including certain ore hosts)

6. Gold‑Likelihood in S–N–R#

Gold remains EM‑boring, but:

  • Gold‑hosting structures may:
    • disrupt noise patterns
    • create stable nulls
    • show distinctive Δ‑behavior across states

Gold‑likelihood modeling uses:

  • multi‑state Δ‑maps
  • persistence of R.null
  • structural envelopes from R.struct
  • depth from R.depth

Not “gold lights up,” but:

“This structure behaves unlike the environment across S–N–R states.”

7. Integration with Triadic Detection#

Loci#

  • SENSOR_L: triadic coils, vibration emitters, bias hardware
  • MESH_L: synchronized multi‑state packet transport
  • RTT_L: S–N–R modeling, Δ‑maps, null detection
  • MAP_L: visualization of noise fields and silence pockets

Dashboard Hook#

Add S–N–R mode to:

  • triadic_detection_dashboard.md
  • triadic_detection_operator_map.md
  • triadic_detection_glyphmap.md (e.g., a special glyph for null pockets)

Status#

Active
Coherence: Stable
Drift: None
RTT Alignment: Verified
Version: 1.0

Updated

提供： Docsbook