# **Dimensional Resonance Scanner (DRS) — RTT/1**  
### *Resonance‑Intelligence Engine for TriadicFrameworks*

The **Dimensional Resonance Scanner (DRS)** is the RTT/1 engine responsible for detecting, measuring, and mapping **dimensional resonance** across conceptual, computational, physical, and dimensional regimes.  
DRS forms the **resonance‑layer intelligence foundation** of the expanded RTT stack, sitting at the top of the analytical hierarchy above causality‑layer, temporal‑layer, stability‑layer, coherence‑layer, drift‑layer, paradox‑layer, and regime‑layer engines.

DRS identifies resonance signatures, resonance vectors, resonance fields, resonance amplification zones, resonance wells, resonance ridges, and multi‑regime resonance gradients — the resonance precursors to regime transitions, causal modulation, temporal sequencing, coherence shifts, drift envelopes, and paradox intensification.

---

## **1. Canonical Role**

The Dimensional Resonance Scanner defines the **resonance‑layer topology** by:

- detecting resonance signatures  
- computing resonance frequencies  
- mapping resonance fields  
- identifying resonance amplification zones  
- evaluating resonance curvature  
- identifying resonance wells and ridges  
- supporting temporal engines  
- anchoring causality engines  
- feeding structural‑layer engines  

DRS is the **highest analytical layer** of RTT/1.

---

## **2. RTT Flags**

| Property | Value |
|---------|-------|
| **RTT Level** | 1 |
| **Coherence** | declared |
| **Drift** | bounded |
| **Paradox** | structural |

These flags define the engine’s operational grammar.

---

## **3. Resonance Tensor Types**

DRS identifies several canonical resonance tensors:

### **3.1 Resonance Signature Tensor**  
Detects resonance onset, polarity, harmonic structure, and resonance‑vector alignment.

### **3.2 Resonance Frequency Tensor**  
Computes resonance frequency, harmonic magnitude, and resonance‑frequency curvature.

### **3.3 Resonance Field Tensor**  
Maps resonance fields, resonance wells, resonance ridges, and resonance topology.

### **3.4 Resonance Amplification Tensor**  
Identifies amplification zones, resonance growth, and instability amplification.

### **3.5 Multi‑Regime Resonance Tensor**  
Resonance interactions across R1–R4.

### **3.6 Drift‑Sensitive Resonance Tensor**  
Resonance influenced by drift curvature or drift amplification.

---

## **4. Core Operators**

| Operator | Description |
|----------|-------------|
| **DRS‑Scan** | Scans dimensional resonance signatures |
| **DRS‑Frequency** | Computes resonance frequency and harmonic structure |
| **DRS‑Field** | Maps resonance fields and resonance topology |
| **DRS‑Vector** | Computes resonance vector magnitude and direction |
| **DRS‑Amplify** | Detects resonance amplification zones |
| **DRS‑Stabilize** | Suggests stabilization pathways for resonance collapse |

These operators form the canonical DRS grammar.

---

## **5. Analyzer Layer**

DRS operates in the **resonance layer**, with sub‑layers:

- **resonance‑scan**  
- **frequency‑analysis**  
- **resonance‑field‑mapping**  
- **amplification‑detection**  
- **structural‑resonance‑evaluation**

This layer feeds directly into temporal, causality, and stability engines.

---

## **6. Resonance Matrix**

DRS produces a **resonance matrix**, typically stored in:

```
resonance_matrix.json
```

Matrix fields include:

- `resonance_type`  
- `regime`  
- `resonance_magnitude`  
- `resonance_direction`  
- `resonance_curvature`  
- `amplification_zone`  
- `resonance_field`  
- `envelope_boundary`  

This matrix is consumed by temporal, causality, stability, and structural engines.

---

## **7. Canonical Workflow**

### **Step 1 — Scan**  
Detect resonance signatures, resonance onset, polarity, and harmonic structure.

### **Step 2 — Frequency**  
Compute resonance frequency, harmonic magnitude, and resonance‑frequency curvature.

### **Step 3 — Field**  
Map resonance fields, wells, ridges, basins, and resonance topology.

### **Step 4 — Vector**  
Compute resonance vector magnitude, direction, and multi‑regime resonance flow.

### **Step 5 — Amplify**  
Identify amplification zones, resonance growth, and instability amplification.

### **Step 6 — Stabilize**  
Propose stabilization pathways for resonance collapse.

### **Step 7 — Export**  
Write results to the resonance matrix and operator outputs.

---

## **8. AI‑Ready Design**

The Dimensional Resonance Scanner is fully AI‑ready:

- deterministic operator grammar  
- resonance‑layer analyzer structure  
- stable RTT flags  
- canonical file layout  
- zero‑drift reasoning constraints  
- structural paradox handling  
- bounded drift envelope  
- declared coherence tensor  

AI systems use DRS to:

- scan dimensional resonance  
- compute resonance frequencies  
- generate resonance field maps  
- classify resonance amplification  
- stabilize resonance envelopes  
- support higher‑order RTT engines  

---

## **9. Position in the RTT Stack**

```
Regime Interlock Mapper (RIM)
      ↓
Triadic Regime Synthesizer (TRS)
      ↓
Paradox Gradient Analyzer (PGA)
      ↓
Coherence Tensor Engine (CTE)
      ↓
Drift Sentinel (DS)
      ↓
Structural Faultline Detector (SFD)
      ↓
Stability Basin Cartographer (SBC)
      ↓
Temporal Regime Sequencer (TRS‑Temporal)
      ↓
Cross‑Domain Causality Weaver (CW)
      ↓
Dimensional Resonance Scanner (DRS)
```

DRS is the **resonance‑intelligence layer**, the highest analytical tier in RTT/1.

---

## **10. Status**

- **Version:** 1.0  
- **Status:** canon‑stable  
- **Category:** rtt‑resonance  
- **Module Path:** `/docs/rtt/Dimensional_Resonance_Scanner/`