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Chapter 5: Time Bases, Synchronization, and Arrival-Time Calibration


I. Scope & Objectives


II. Terms & Symbols

  1. Time bases and mapping
    • tau_mono: internal monotonic clock.
    • ts: externally published clock.
    • Linear mapping: ts_i(t) = alpha_i * tau_mono + beta_i + epsilon_i(t).
    • alpha_i: clock skew; beta_i: clock offset; epsilon_i(t): zero-mean jitter term.
  2. Two formulations of arrival time
    • General form: T_arr(gamma) = ( ∫_{gamma(ell)} ( n_eff / c_ref ) d ell ).
    • Pull-out-constant form: T_arr(gamma) = ( 1 / c_ref ) * ( ∫_{gamma(ell)} n_eff d ell ).
    • Discrepancy: delta_form = | ( ∫ ( n_eff / c_ref ) d ell ) - ( 1 / c_ref ) * ( ∫ n_eff d ell ) |.
  3. Path and measure
    • gamma(ell): piecewise-C1 path, ell ∈ [0, L_gamma], with line measure d ell.
    • L_gamma = ( ∫{gamma(ell)} 1 d ell ); avg_gamma[f] = ( 1 / L_gamma ) * ( ∫{gamma(ell)} f d ell ).
  4. Observability and metrics
    • TS.time.offset, TS.time.skew, TS.time.jitter, TS.hb.violations.
    • Quality gates: eps_time_map, delta_form, eps_norm, eps_mass.

III. Postulates & Minimal Equations (P61-/S62-)


IV. Data & Manifest Conventions

  1. Mapping and uncertainty
    • timebase.alpha, timebase.beta, timebase.r_rms, timebase.confidence.
    • ts_domain, tau_domain, window.size, window.step.
  2. Arrival time and paths
    • T_arr.general, T_arr.factorized, delta_form, gamma.param, support.ell_range, measure.d_ell.
    • c_ref.source, n_eff.source, n_eff.context (e.g., temperature, frequency, tension).
  3. Causality and synchronization
    sync.method ∈ [two_way, beacon, hybrid], sync.anchors, hb.violations, retry.count, comp.success.
  4. Conservation and quality gates
    eps_time_map ≤ ε_time_gate, delta_form ≤ ε_form_gate; where applicable, also eps_norm ≤ ε_norm_gate, eps_mass ≤ ε_mass_gate.

V. Algorithms & Implementation Bindings (I60-*)

  1. I60-4 calibrate_arrival_time(trace:any, paths:list, c_ref:float, medium:any) -> CalReport
    • Function
      1. Compute both T_arr forms and delta_form.
      2. Fit alpha/beta from anchor pairs and output r_rms with confidence intervals.
      3. If trace includes two-way probes, estimate d_prop and offset_AB.
    • Key steps
      1. Parse gamma(ell) and d ell, validate units and dimensions.
      2. Compute T_arr.general and T_arr.factorized.
      3. Assemble (tau_k, ts_k, w_k) and fit alpha/beta.
      4. Produce CalReport = {alpha, beta, r_rms, T_arr.*, delta_form, anchors, quality}.
  2. I60-3 advance_dt with I60-2 exchange_packets
    • advance_dt records anchors at the end of each step and triggers conditional calibration.
    • exchange_packets records event causality and time-sync stamps at event boundaries, with idempotent deduplication.
  3. I60-5 emit_metrics
    Periodically emits TS.time.* and TS.hb.violations, and persists snapshots of mapping parameters.

VI. Metrology Flow & Run Diagram (Mx-61)

  1. Objective
    On startup, on drift excursions, and at window rotations, execute unified time and arrival-time calibration to guarantee cross-layer alignment and traceability.
  2. Flow
    • Collect anchors: record a set of (tau_k, ts_k) on tau_mono, and gather path and medium context.
    • Arrival-time computation: for each path gamma, compute both T_arr forms.
    • Time-base fitting: estimate alpha/beta by weighted least squares, obtain r_rms and confidence bounds.
    • Consistency checks: verify delta_form, eps_time_map, and TS.time.jitter against gates.
    • Publish & persist: write timebase.*, T_arr.*, anchors, and evidence for passing gates.
    • Triggers: if any gate fails, shorten the window, raise anchor frequency, or switch the sync method.
  3. Artifact
    Calibration report cal.json containing mapping parameters, two-form results, gate statuses, and replay directives.

VII. Verification & Test Matrix

  1. Minimum required
    • Constant medium with static offset: expect delta_form ≈ 0, alpha ≈ constant, beta ≈ constant.
    • Segmented path: gamma = gamma_1 ⋃ gamma_2; verify T_arr additivity and stability of delta_form.
    • Two-way exchange: inject known d_prop and offset_AB, verify estimation error.
  2. Boundary & extreme cases
    • High-jitter conditions: as var( epsilon_i(t) ) grows, confirm TS.time.jitter alerts and strategy switching.
    • Drift transitions: under piecewise changes in alpha, verify piecewise fitting and window adaptation.
    • Strong medium variation: rapidly varying n_eff causing divergence between T_arr forms, verify compensation and reporting.
  3. Regression & thresholds
    With fixed anchors and conditions, compare Δalpha, Δbeta, Δr_rms, Δdelta_form, and TS.hb.violations.

VIII. Cross-References & Dependencies


IX. Risks, Limitations & Open Questions

  1. Risks
    • Omitting two-form computation and delta_form reporting makes arrival-time results incomparable.
    • Ignoring ts quantization and sampling delays biases alpha/beta estimates.
    • Poor anchor selection can undermine the representativeness of r_rms.
  2. Limitations
    No specific time-sync protocol is mandated; only abstract methods and manifest requirements. Implementations must satisfy mapping and evidence persistence.
  3. Open questions
    • Real-time estimation of nonlinear clock drift (temperature and load coupling).
    • Robust T_arr calibration and uncertainty propagation under strongly random path disturbances.

X. Deliverables & Versioning

  1. Deliverables
    • Reference implementation and contract tests for I60-4.
    • Mx-61 run scripts and a cal.json template.
    • Dashboard configurations for TS.time.*, TS.hb.violations, delta_form, and gate statuses.
  2. Versioning
    From v1.0, freeze field names and gate semantics. Add new statistics in a backward-compatible manner and include migration guidance.

XI. New Terms & Symbols (to memorize)


Copyright & License (CC BY 4.0)

Copyright: Unless otherwise noted, the copyright of “Energy Filament Theory” (text, charts, illustrations, symbols, and formulas) belongs to the author “Guanglin Tu”.
License: This work is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0). You may copy, redistribute, excerpt, adapt, and share for commercial or non‑commercial purposes with proper attribution.
Suggested attribution: Author: “Guanglin Tu”; Work: “Energy Filament Theory”; Source: energyfilament.org; License: CC BY 4.0.

First published: 2025-11-11|Current version:v5.1
License link:https://creativecommons.org/licenses/by/4.0/