Scruff AI
9302a86ea8
New docs: - docs/em_spectrum_overlay.html: Full EM spectrum with Khra/Gixx lines, physics markers, cell-size slider - docs/2026-03-28_170500_cto-report_fractal-echo-analysis.txt: CTO fractal echo analysis report New scripts (Beast sweep infrastructure + analyzers): - scripts/nuclear_magic_analyzer.py: shell structure, peak clustering, mode counting, GUE tests - scripts/physics_domain_analysis.py: 4-domain physics (nuclear shells, Brillouin, band gaps, GUE) - scripts/direct_zmq_sweep.py: ZMQ direct sweep driver - scripts/sweep_real.py: real sweep execution - scripts/analyze_sweep.py, comprehensive_analysis.py: sweep analysis tools - scripts/execute_prime_mapping.py: prime lattice mapping - scripts/extrapolate_findings.py, check_extrapolation.py: extrapolation tools - scripts/eta_calc.py, time_estimate.py, updated_estimate.py, show_pattern.py: utilities Prime analysis (root): - navigator_prime_analysis.py, navigator_prime_analysis_v2.py Updated: - navigator/mock_lbm_daemon.py, navigator/telemetry_server.py
29 lines
840 B
Python
29 lines
840 B
Python
import json
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import pandas as pd
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with open('/mnt/d/Resonance_Engine/sweep_results/prime_lattice_mapping.json') as f:
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data = json.load(f)
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df = pd.DataFrame(data['mappings'])
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print("PRIME PATTERN:")
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print("Prime -> Omega -> Coherence")
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print("-" * 40)
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# Show every 10th prime to see the pattern
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for i in range(0, 100, 10):
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p = df.iloc[i]
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print(f"{int(p.prime_value):3d} -> {p.lattice_omega:.1f} -> {p.lattice_coherence:.4f}")
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print()
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print("PATTERN:")
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print("Small primes (2-29): Low omega (0.5-0.8), High coherence (~0.739)")
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print("Medium primes (31-200): Rising omega (0.9-1.8), Stable coherence")
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print("Large primes (211-541): Omega drops back to ~1.3")
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print()
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print("The pattern is NON-LINEAR.")
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print()
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print("EQUATION FORM:")
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print("Omega = f(prime) where f is non-monotonic")
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print("Coherence = constant (~0.7386)")
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