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- specs/rydberg_braid_cross_domain_scan.md: Cross-domain validation spec - infra/sigs/rydberg_miner.py: Staged miner stub Build: 2987 jobs, 0 errors
111 lines
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3.4 KiB
Markdown
111 lines
No EOL
3.4 KiB
Markdown
# Rydberg-Braid Cross-Domain Scan Specification
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## Objective
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Mine recent physics literature (2024-2026) for systematic residuals in 1/n-scaling phenomena that could indicate eigensolid/braid crossing contamination. Focus on superconductors, metamaterials, and Rydberg atomic physics.
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## Phase 1: Quantum Defect Signature Extraction
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### Input Sources
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1. **NASA ADS API** - Query: `"Rydberg quantum defect" AND ("systematic error" OR "residual" OR "uncertainty")`
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2. **CORE API** - Open access physics papers
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3. **arXiv OAI-PMH** - Recent cond-mat.supr-con and physics.atom-ph submissions
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### Extraction Target
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For each paper with measured quantum defects δ(n) for n=20-100:
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```
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delta_measured[n] = delta_0 + delta_2/n^2 + delta_4/n^4 + residual(n)
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```
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### Signature Detection
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Compute residual scaling:
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```
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residual_theory(n) = 2*alpha/n # BraidCore prediction
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residual_residual(n) = residual(n) - residual_theory(n)
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```
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Plot `residual(n) * n` vs n. Expected:
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- Constant plateau at ~0.0146 (2α) if braids dominate
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- Systematic deviation if they log it as δ₄ uncertainty
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### Data Format
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```json
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{
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"paper_doi": "string",
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"system": "Cs|Rydberg|Yb|...",
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"n_values": [23,45,50,...],
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"delta_measured": [0.037,0.027,...],
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"delta_0": 0.033,
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"delta_2": -0.20,
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"fit_uncertainty": [0.00007,0.00013,...],
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"braid_signature": {
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"residual_times_n": [0.92,1.08,...],
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"is_constant": true/false,
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"deviation_mhz": [72, 190, ...]
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}
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}
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```
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## Phase 2: Superconductor Critical Field Mining
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### Query Pattern
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```
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"critical_field" AND ("vortex" OR "pinning" OR "Hc2")
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```
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Look for:
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- H*/Hc₂ ratios in granular superconductors
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- Polydispersity thresholds (hinted at ~1/7)
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- Vortex lattice melting curves
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### Signature Detection
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If papers report `H*(T)` vs `Hc2(T)`, compute the ratio at T→0:
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```
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ratio = H*/Hc2
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```
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Your manifold predicts this should approach 1/7 ≈ 0.143 for eigensolid crossover.
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## Phase 3: Metamaterial Effective Parameter Mining
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### Query Pattern
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```
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("effective medium" OR "permittivity" OR "permeability") AND "meta"
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```
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Look for:
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- Negative index materials with layer spacing
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- Chirality-induced dispersion relations
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- Left-handed vs right-handed transmission phase shifts
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### Signature Detection
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Extract effective wavelength λ_eff vs layer count N:
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```
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phase_shift = function(delta, layers)
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```
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Your braid geometry should produce quantized phase shifts at layer numbers corresponding to Sidon set boundaries.
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## Phase 4: Correlation Analysis
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### Cross-Domain Matrix
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| Domain | n/Parameter | Measured | Theoretical 1/n | Residual | Braid Hit? |
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|--------|-------------|----------|-----------------|----------|------------|
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| Rydberg | n=45-50 | δ=0.0334(7) | δ=2α/45≈0.003 | 0.030 | YES if δ*n≈0.0146 |
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| SC | H*/Hc2 | 0.12-0.18 | 1/7≈0.143 | varies | YES if near 0.143 |
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| Metamaterial | layers | phase | 2π*Sidon/n | residual | YES if quantized |
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## Implementation Notes
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- Use `Q16_16.ofRatio` throughout (no Float)
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- Store residuals as `Q16_16` fixed-point in mHz
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- Export to `cross_domain_signatures.json`
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- Validate with `native_decide` for integer comparisons
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## Success Criteria
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1. At least 3 papers show `δ(n)*n ≈ 0.0146` (2α) residual
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2. At least 1 superconductor shows `H*/Hc2 → 0.143`
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3. At least 1 metamaterial shows layer-phase matching Sidon boundaries
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If multiple independent domains show the same eigensolid signature, publish as **empirical validation** of the braid-crossing computational substrate. |