PAXV Science: From 1989 Foundations to Quantum-Electrical Events

The complete chronology, physics, and math behind Watcher / PAXV. We begin in 1989 and progress to today’s 52 GS/s acquisition, FPGA/AI fusion, and anomaly-preserving fractal + wavelet storage—so voltage–current waveforms can be reconstructed for forensics at practical cost.

Timeline 1989→2025 Classical ↔ Quantum Junior Science → PhD Neon Flow Diagram Formula Library (Signals + Storage)

Chronological Science Timeline (1989 → 2025)

1989–1995
ASIC-dominant; early FPGAs insufficient for GS/s capture; storage mostly HDD.
Analog front-ends bound edge fidelity; lab-grade scopes only.
Core math: Nyquist, Shannon, impedance, rise-time ↔ bandwidth
1996–2005
Usable FPGAs; GHz CPUs; 1st practical high-speed ADC/DAC families; SERDES expands.
Digital comms broaden; storage still a bottleneck.
Matched filters, correlation, BER & constellation math
2006–2015
Multi-core CPUs; JESD204; SSD RAID becomes viable; SI discipline matures.
Conductor/dielectric losses and jitter decomposition formalized.
Eye diagrams, CTLE/DFE, jitter budgets
2016–2020
14/7 nm FinFET; GS/s ADCs broadly available; PCIe 4/5; HBM.
Post-quantum crypto research; larger FPGA DSP fabrics.
Aperture-jitter SNR, ENOB, pipeline throughput
2021–2025
52 GS/s acquisition; FPGA/AI fusion for signal-level forensics.
Fractal + wavelet compression; RAID-5 SSD; anomaly-preserving math.
Time–bandwidth, IFS coding, wavelets, entropy, CS, reliability
Classical Physics Backbone
Quantum Discovery Layer

What We Control

Impedance, rise-time, jitter, attenuation, equalization, thermal budgets, bus throughput, RAID reliability—deterministic controls that keep captured edges physically truthful and time-aligned.

  • Transmission lines: \(Z_0, \Gamma, \mathrm{VSWR}, t_r \approx 0.35/B\)
  • ADC: \(\Delta, P_q, \mathrm{SNR}_{ideal}, \mathrm{ENOB}\)
  • Clock/jitter: \(\mathrm{SNR}_{jitter}, \sigma_t \leftrightarrow \mathcal{L}(f)\)
  • Links: eye budgets, RJ/DJ, BER bathtubs
  • Thermal & power: \(P=VI\), \(I^2R\), \(\Delta T=P\theta_{JA}\)

Why It Matters

Leading-edge fidelity is bounded by bandwidth, noise, and timing. The backbone preserves edge truth; without it, anomalies blur into artifacts and can’t be proven post-capture.

What We Discover

Sub-picosecond variance patterns in 19 ps snapshots that deviate from expectation. Distributional drift is measured and retained through compression for forensics.

  • Time–bandwidth limits, matched filters, Cramér–Rao bounds
  • Variance, KL, Mahalanobis, CUSUM (anomaly persistence)
  • Fractal IFS + wavelets with anomaly-first distortion budgets
  • Mutual-information retention and reconstruction PSNR

Why It Matters

We preserve “quantum-electrical event” signatures by math, not myth—so reconstruction yields the true analog state behind digital traffic, long after the event.

Explanations by Depth (Junior Science → PhD)

Junior Science

Electricity makes waves. We take super-fast pictures of those waves so we can see tiny changes others miss.

High School

Sampling faster than a signal’s bandwidth lets us rebuild it. Edges need bandwidth; noise and timing blur edges.

Undergraduate

Nyquist/Shannon, rise-time vs bandwidth, impedance & reflections, ADC quantization & ENOB, jitter-limited SNR, BER curves.

Graduate

Group delay, phase-noise integration, eye budgets, STFT/wavelets, Wiener/Kalman filters, rate–distortion control.

PhD

Fractal IFS coding with collage bounds, anomaly-preserving thresholds, MI retention, compressed-sensing guarantees.

End-to-End Logic Flow (Capture → Classify → Store → Reconstruct)

RF/Analog In ADC @ 52 GS/s FPGA (DSP + AI) Wavelet / Anomaly Fractal IFS Entropy / RAID-5 SSD Classifier / Alerts Reconstruction Forensics / Playback

Blue = primary ingest & compression; gold = dual-layer anomaly-first compression; lower branch = real-time classification → reconstruction → forensic playback.

Formula Library (Signals + Fractal/Compression)

Each card shows: the equation, a multi-sentence explanation (what the formula means and how we use it), and where it is applied in the system.