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I. Positioning & Objectives
- This volume focuses on defining, organizing, and governing the parameter system. Core objects include theta, Theta, prior(theta), post(theta|data), C_eq / C_ineq, lb / ub, and T_map.
- Goals: provide an implementation-ready parameter lexicon; rules for constraints and transforms; prior and inference conventions; and stable binding interfaces to the equations/metrology/terms volumes (I30-*).
- Principles: introduce no new physical laws or field equations. For field quantities, paths, arrival time, and related relations, cite Core.Terms and Core.Equations.
II. Intended Readers & Prerequisites
- Reader profiles
- Modeling & inference engineers: design prior / L / post and implement infer_*.
- Domain scientists: supply the physically admissible domain Theta, bounds lb / ub, and constitutive hyper-parameters.
- Platform & numerics developers: implement the I30-* interfaces and maintain regression baselines.
- Prerequisite references
- Terms & symbols: EFT.WP.Core.Terms v1.0.
- Minimal equations & weak forms: EFT.WP.Core.Equations v1.1.
- Units & metrology: Metrology. suite.
III. Scope & Non-Scope
- In scope
- Parameter naming & numbering; postulates and conflict tables; parameter domain Theta and constraints C_eq / C_ineq; invertible transforms T_map.
- Prior libraries and hyper-parameter conventions; minimal links for MLE/MAP/MCMC; Fisher information and identifiability.
- Covariance & uncertainty propagation; scenario governance & version traceability; cross-volume bindings and export formats.
- Out of scope
- Derivation and proofs of physical equations (see Core.Equations).
- Construction of unit systems and legal metrology specifics (see Metrology.).
IV. Unified Notation & Formatting Essentials
- Style conventions
- All formulas, symbols, and definitions are English in plain text; wrap inline symbols in backticks, e.g., theta, Theta, prior(theta), C_eq(theta).
- Any expression involving division, integrals, or composite operators must use parentheses, and must declare the path gamma(ell) and the measure d ell.
- Two arrival-time conventions (cross-volume exemplar)
- Constant-factored: T_arr = ( 1 / c_ref ) * ( ∫ n_eff d ell )
- General form: T_arr = ( ∫ ( n_eff / c_ref ) d ell )
- Conflict isolation (mandatory)
Strictly distinguish T_fil vs T_trans; n vs n_eff; never use bare c—use c_ref. - Numbering & citations
Postulates Pxx-?, minimal equations Sxx-?, metrology flows Mx-?, implementation bindings Ixx-?. Cross-volume citation uses the fixed form: “see companion white paper Energy Threads, Chapter x, S/P/M/I…”.
V. Cross-Volume Relationships & Interfaces
- With Core.Terms
Inherit and reuse the definitions and writing rules for T_fil(x,t), rho(x,t), n(x,t), n_eff(x,t), gamma(ell), d ell, c_ref. - With Core.Equations
Use compute_jacobian(eqn, params) and check_dim(expr) for dimensional closure and sensitivities; use propagate_uncertainty_mc for output-side propagation. - With Metrology.
Register and validate units via check_dim; declare parameter defaults and dimensions (with units) at first occurrence. - Implementation bindings (this volume’s interface family)
I30-1 … I30-12: parameter registration & aliases; domains & constraints; priors & sampling; transforms & invertibility; inference & calibration; identifiability & covariance; uncertainty propagation; scenario/version management; import/export & regression.
VI. Deliverables & How to Use
- Deliverables
- Parameter registry (YAML/JSON): name, code, type, unit, role, default, bounds, prior, transform, see.
- Prior and transform libraries: Normal/LogNormal/Beta/... and log/logit/softplus/zscore standardized entry points.
- Feasible-set description: Theta = { theta | C_eq = 0, C_ineq ≤ 0 }.
- Regression assets: export_params for export; compare_param_sets for diffs and baselines.
- Minimal usage sequence
- register_param and set_bounds to onboard parameters and declare bounds.
- set_transform and set_prior to establish numerical feasibility and statistical conventions.
- Choose infer_mle / infer_map / posterior_sample_mcmc to obtain a point estimate or samples of theta.
- Use propagate_uncertainty_mc to transmit uncertainty to outputs; interface with compute_jacobian as needed.
- Persist with export_params, then enter the regression baseline and scenario governance.
VII. Versioning & Traceability
- Version semantics
From v1.0, adopt backward-compatible minor increments; extending parameter fields or augmenting prior families must not break existing scripts. - Traceability & governance
Manage scenarios via create_scenario / activate_scenario / diff_scenarios; record evolution with bump_version; see Appendix B for detailed change logs.
VIII. Reading Path & Example Cues
- Recommended path
- Read Chapter 1’s naming and numbering postulates (P31-*) to internalize conflict lists and alias strategy.
- Configure lb / ub and C_eq / C_ineq per Chapter 3, and choose an appropriate T_map.
- Select priors and likelihood per Chapter 4, and complete calibration via Chapter 6’s workflow.
- Propagate uncertainty with Chapter 7, and onboard scenario/version governance per Chapter 8.
- Arrival-time examples (cross-volume consistency)
Any parameter touching T_arr (e.g., c_ref, hyper-parameters of n_eff) must use the fully parenthesized canonical form T_arr = ( ∫ ( n_eff / c_ref ) d ell ) with explicit gamma(ell) and d ell.
IX. Compliance Statement
- All parameter names, set names, function prototypes, statistics, constraints, and prior/posterior expressions are strictly English only; narrative prose may be in any language, but not the formal items above.
- Rules for dimensional closure, explicit paths, and symbol isolation remain source-consistent with Core.Terms and Core.Equations; violations are rejected by validate_param_set and check_dim.
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/