目录文档-技术白皮书36-EFT.WP.EDX.Current v1.0

第15章 数据与复现(DataSpec / Methods.Repro)


I. 章节目标与结构

  1. 目标:定义 EDX.Current数据契约数据/管线卡审计轨导出,固化环境锁定与等价性检验,使 S20-* / S40-* / S50-* / I30-* / 第8章 / M10-* / M20-* / I40-* 在统一数据口径下可复现、可审计、可发布
  2. 结构:数据契约 → 数据格式与最小字段 → 管线卡与环境锁 → 复现流程 → 审计轨与发布 → 可证伪准则 → 合规模板 → 对应与退化 → 跨章指引与小结。
  3. 共享口径(到达时两式,显式路径/测度并记录 delta_form):
    • 常量外提:T_arr = ( 1 / c_ref ) * ( ∫ n_eff d ell )
    • 一般口径:T_arr = ( ∫ ( n_eff / c_ref ) d ell )

II. 数据契约(Data Contract)


III. 数据格式与最小字段(Dataset Card v1.0)

字段

必填

说明

dataset_id

数据集唯一标识

version

semver

source

仪器/仿真/第三方

instruments

型号/校准/量程

deemb / sync

去嵌方法与时间基对齐

binding_ref

layout ↔ gamma(ell) 绑定 ID

arrival

form/gamma/measure/c_ref/Tarr/u_Tarr/delta_form

freq_grid_Hz

频点数组

Z_eft / argZ

复阻抗与相位

weights

w_p(omega)

n_eff

段级或等效值

qa_gates

check_dim/passivity/KK 结果

hashes

每文件 sha256

示例(可直接粘贴)

dataset_card:

dataset_id: "EDXCUR-001"

version: "1.0.0"

source: "measurement"

instruments:

- {type:"VNA", model:"—", cal:"2025-08-01"}

deemb: {method:"TRL", version:"1.2", file:"/artifacts/deemb.json"}

sync: {ref:"10MHz", scheme:"shared_ref+trigger", dt_sync_s: 2.0e-12}

binding_ref: "LAY2PATH-xxxx"

arrival:

form: "n_over_c" # or "one_over_c_times_n"

gamma: "explicit"

measure: "d_ell"

c_ref: 299792458.0

Tarr_s: 1.234e-09

u_Tarr_s: 6.0e-12

delta_form: "n_over_c"

freq_grid_Hz: [ ... ]

Z_eft: {real:[...], imag:[...]}

argZ: [ ... ]

weights: {w_main:[...], w_side:[...] }

n_eff: [ ... ] # per segment or effective

qa_gates: {check_dim:"pass", passivity:"pass", KK:"pass"}

hashes:

files:

- {path:"/data/raw.s2p", sha256:"..."}

- {path:"/data/aligned.parquet", sha256:"..."}


IV. 管线卡与环境锁(Pipeline Card v1.0 / Env Lock)

示例

pipeline_card:

pipeline_id: "EDXCUR-PIPE-001"

version: "1.0.0"

steps:

- {id:"ingest", cmd:"load_raw --input /data/raw.s2p"}

- {id:"align", cmd:"align --deemb /artifacts/deemb.json --sync /artifacts/sync.json"}

- {id:"path_correct", cmd:"pathfix --binding LAY2PATH-xxxx"}

- {id:"compute", cmd:"compute_zeft --arrival n_over_c"}

- {id:"invert", cmd:"invert --priors priors.yaml --sampler NUTS"}

- {id:"ppc", cmd:"ppc --band ω1,ω2"}

- {id:"export", cmd:"export_cards --out /release"}

env_lock:

python: "3.11.6"

packages:

- {name:"numpy", version:"1.26.4"}

- {name:"scipy", version:"1.13.1"}

- {name:"pandas", version:"2.2.2"}

container:

image: "registry/edxcurrent:1.0.0"

digest: "sha256:..."

hardware: {cpu:"x86_64", gpu:"none", ram_GB:32}

seeds: {global: 20250915}


V. 复现流程(Methods.Repro)


VI. 审计轨与发布

示例

audit_manifest:

run_id: "RUN-2025-09-15-001"

toolchain: {simstack:"1.0.0", kernels:"0.9.3"}

diffs: {params_changed: ["Ks_tau"], reason:"tuning within prior"}

seeds: {global: 20250915}

qa:

check_dim: "pass"

passivity: "pass"

KK: "pass"

logs: "/logs/run_001.txt"

release_manifest:

normative_refs: ["EFT.WP.Core.DataSpec v1.0","Methods.Repro v1.0"]

artifacts: ["/cards/dataset.yaml","/cards/pipeline.yaml","/cards/env_lock.yaml","/cards/audit.yaml"]

hashes: {dataset:"...", pipeline:"...", env_lock:"...", audit:"..."}


VII. 可证伪准则(复现侧)

  1. R1 两口径一致性失败:同一 gamma(ell) 与 n_eff 上,T_arr(n_over_c) 与 T_arr(one_over_c_times_n) 之差超出 u(T_arr)。
  2. R2 K–K 或被动性失败:复现结果出现 Re{Z_eft}<0 或 K–K 不一致。
  3. R3 等价性检验失败
    • ε_Z = max_ω |Z_eft^{rep} - Z_eft^{pub}| / |Z_eft^{pub}| > ε_Z_gate;
    • ε_φ = max_ω |arg Z^{rep} - arg Z^{pub}| > ε_φ_gate;
    • ε_w = max_ω Σ_p |w_p^{rep} - w_p^{pub}| > ε_w_gate。
  4. R4 环境不可再现:env_lock 重建失败或指纹不一致。
  5. R5 审计轨缺失:缺 hashes 或日志不完整。

VIII. 合规模板(可直接粘贴)

dataset_card: { ... 如 III 节示例 ... }

pipeline_card: { ... 如 IV 节示例 ... }

# 1) 两口径 T_arr 一致性

T1 = (1/c_ref) * sum(n_eff[i]*Δell[i]) # n_over_c

T2 = sum((n_eff[i]/c_ref) * Δell[i]) # one_over_c_times_n

assert abs(T1 - T2) <= u_Tarr

# 2) K–K 与被动性快速门

assert min(Re(Z_eft)) >= 0.0

assert KK_consistency(Z_eft) is True

# 3) 等价性阈值

eps_Z = max_abs(Z_eft_rep - Z_eft_pub) / max_abs(Z_eft_pub)

eps_phi= max_abs(phi_rep - phi_pub)

eps_w = max_over_ω(sum_abs(w_rep - w_pub))

assert eps_Z <= ε_Z_gate and eps_phi <= ε_φ_gate and eps_w <= ε_w_gate


IX. 与经典框架的对应与退化

当路径唯一 w_p=1、ΔZ_rad=0、n_eff→常数 且 Δt_sync→0 时,本章数据契约退化为传统 S-parameters + 去嵌 + 校准 的发布形态;arrival 仍需保留以保证跨卷可比。

X. 跨章指引与小结


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首次发布: 2025-11-11|当前版本:v5.1
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