目录 / 文档-技术白皮书 / 37-EFT.WP.EDX.HighSpeed v1.0
第15章 数据与复现(DataSpec / Methods.Repro)
I. 章节目标与结构
- 目标:定义 HighSpeed 卷的数据契约、数据/管线卡与审计轨导出,固化环境锁定与等价性检验,使 S20-HF / S30-HF / S50-HF / I30-HF / I40-HF / M10-HF / M20-HF / 第7章 在统一数据口径下可复现、可审计、可发布。
- 结构:数据契约 → 字段与模板 → 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 → 跨章闭环。
- 共享到达时两口径(等价,须显式路径/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(HighSpeed 增量)
- 工件类型:raw/cleaned/aligned S-parameters、Z_eft/argZ、Znorm(omega)、(可选)T_mm/Z0_mm、arrival、binding_ref、deemb/sync、HF KPIs{T_group/E_phase/GDR/ΔW}、Z_c(omega)、(若启用)ΔZ_rad(omega)、qa_gates、audit_manifest。
- 最小一致性:SI 单位;关键等式 check_dim=pass;Re{Z_eft}≥0 与 KK_consistency=pass;两口径 T_arr 一致;若启用辐射通道,Re{ΔZ_rad}≥0。
- 版本与校验:semver + 每文件 sha256;记录 created_at、toolchain 与 env_lock 指纹。
III. 数据集卡(Dataset Card v1.0,HF 字段)
字段 | 必填 | 说明 |
|---|---|---|
dataset_id | ✓ | 唯一标识 |
version | ✓ | semver |
source | ✓ | measurement / simulation / 3D-EM |
instruments | ✓ | VNA/TDR/探头型号、校准 |
deemb | ✓ | 去嵌方法/版本/工件路径/baseline_id |
sync | ✓ | 时间基/对齐方案/dt_sync_s |
binding_ref | ✓ | layout ↔ gamma(ell) 绑定 ID |
arrival | ✓ | form/gamma/measure/c_ref/Tarr/u_Tarr/delta_form |
Znorm(omega) | ✓ | 端口归一化阻抗(可为频率数组) |
S(omega) | ✓ | 多端口 S 参数(文件或数组) |
T_mm/Z0_mm | — | 混合模矩阵与归一阻抗 |
Z_eft/argZ | ✓ | 张度地形化阻抗与相位 |
Z_c(omega) | ✓ | 特性阻抗(线/模态) |
HF_KPI | ✓ | T_group_s[]/E_phase/GDR/ΔW |
alpha_per_m/beta_per_m | — | 幅度/相位色散(可选) |
ΔZ_rad(omega) | — | 辐射正实修正(若启用,Re≥0) |
qa_gates | ✓ | check_dim/passivity/KK 结果 |
hashes/created_at/toolchain | ✓/—/— | 完整性与可追溯 |
最小模板(可直接粘贴)
dataset_card:
dataset_id: "EDXHS-001"
version: "1.0.0"
source: "measurement"
instruments:
- {type:"VNA", model:"—", cal:"2025-08-01", range:"10 MHz–40 GHz"}
deemb: {method:"TRL", version:"1.2", artifact:"/artifacts/deemb.json", baseline_id:"BLSN-EDX-001"}
sync: {ref:"10MHz", scheme:"shared_ref+trigger", dt_sync_s: 2.0e-12}
binding_ref: "LAY2PATH-HF-0001"
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"
Znorm_ohm: [50.0, 50.0]
sparams: "/artifacts/S.s2p"
mixed_mode:
enabled: true
T_mm: "/cfg/T_mm.yaml"
Z0_mm_ohm: [100.0, 25.0]
Z_eft: {real:[...], imag:[...]}
argZ: [ ... ]
Zc_ohm: [ ... ]
HF_KPI:
T_group_s: [ ... ]
E_phase_rad: 0.043
GDR_s: 1.8e-10
ΔW: 0.17
dispersion:
alpha_per_m: [ ... ] # optional
beta_per_m: [ ... ] # optional
radiation:
enabled: true
deltaZ_rad: {Re_ohm:[...], Im_ohm:[...]} # Re ≥ 0
Re_Zrad_min: 0.0
qa_gates: {check_dim:"pass", passivity:"pass", KK:"pass"}
hashes:
files:
- {path:"/artifacts/S.s2p", sha256:"..."}
- {path:"/artifacts/deemb.json", sha256:"..."}
created_at: "2025-09-16T10:00:00Z"
toolchain: {simstack_hf:"1.0.0", kernels:"0.9.3"}
IV. 管线卡(Pipeline Card v1.0)与环境锁(Env-Lock v1.0)
- 标准阶段:ingest → align(I30-HF) → deembed/renorm → s2z(I40-HF) → sync_corr → path_correct → kpi_eval(Ω) → radiation_eval → export(cards)。
- 环境锁:记录 OS/解释器/依赖/容器摘要与硬件;所有阶段在同一单位制下执行。
pipeline_card:
pipeline_id: "EDXHS-PIPE-001"
version: "1.0.0"
steps:
- {id:"ingest", cmd:"load_sparams --input /artifacts/S.s2p"}
- {id:"align", cmd:"map_ports --binding LAY2PATH-HF-0001"}
- {id:"deembed", cmd:"deembed --fixture /artifacts/deemb.json --baseline BLSN-EDX-001"}
- {id:"renorm", cmd:"renorm --znorm Znorm.yaml"}
- {id:"s2z", cmd:"map_S_to_Z --mode mixed --Tmm /cfg/T_mm.yaml"}
- {id:"sync_corr", cmd:"phase_corr --dt_sync_s 2.0e-12"}
- {id:"path_correct", cmd:"pathfix --binding LAY2PATH-HF-0001"}
- {id:"kpi_eval", cmd:"kpi --omega ω1,ω2 --kpi_gates gates.yaml"}
- {id:"rad_eval", cmd:"rad --enable --zref Z_base.npy"}
- {id:"export", cmd:"export_cards --out /release"}
env_lock:
os: {name:"Ubuntu", version:"22.04"}
interpreter: {name:"Python", version:"3.11.6"}
packages:
- {name:"numpy", version:"1.26.4", hash:"sha256:..."}
- {name:"scipy", version:"1.13.1", hash:"sha256:..."}
- {name:"pandas", version:"2.2.2", hash:"sha256:..."}
container: {image:"registry/edxhs:1.0.0", digest:"sha256:..."}
hardware: {cpu:"x86_64", gpu:"none", ram_GB:32}
seeds: {global: 20250916}
V. 复现流程(Methods.Repro,执行口径)
- 获取并校验:拉取 dataset_card/pipeline_card/env_lock,核对 sha256。
- 重建环境:按 env_lock 启动容器/虚拟环境。
- 对齐与改正:执行 align → deembed/renorm → s2z → sync_corr → path_correct,确保 passivity/KK 与 arrival 完整。
- 到达时一致性:两口径各算一次 T_arr,验证在 u(T_arr) 内一致。
- KPI 再计算:在相干窗 Ω 上重算 T_group/E_phase/GDR 与 ΔW;(若有)验证 T_group ≈ L·dβ/dω。
- 辐射一致性:若启用 ΔZ_rad,验证 Re{ΔZ_rad}≥0 与封堵前后单调性;计算 P_rad ≈ ½Re{ΔZ_rad}|I_port|^2 与场量趋势一致。
- 等价性判定:按阈值 ε_Z/ε_φ/ε_Tg/ε_W/(ε_Zc) 比较复现结果与发布结果,出具 qa_gates。
VI. 审计轨与发布
audit_manifest:
run_id: "RUN-2025-09-16-001"
toolchain: {simstack_hf:"1.0.0", kernels:"0.9.3"}
diffs: {params_changed:["Ks_tau"], reason:"tuning within prior"}
seeds: {global: 20250916}
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:
- "/release/dataset_card.yaml"
- "/release/pipeline_card.yaml"
- "/release/env_lock.yaml"
- ["/release/audit_manifest.yaml", "/release/qa_report.json"]
hashes:
dataset_card: "sha256:..."
pipeline_card: "sha256:..."
env_lock: "sha256:..."
audit: "sha256:..."
VII. 可证伪准则(Repro 对应)
- R-HF-1(两口径一致性):同一 gamma(ell)/n_eff 上 T_arr(n_over_c) 与 T_arr(one_over_c_times_n) 差超 u(T_arr)。
- R-HF-2(正实/因果失败):复现得到 Re{Z_eft}<0 或 KK_consistency 失败。
- R-HF-3(等价性失败):
- 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_Tg = max_ω |T_group^{rep} − T_group^{pub}| > ε_Tg_gate
- ε_W = max_ω Σ_{p,m} |w_{p,m}^{rep} − w_{p,m}^{pub}| > ε_W_gate
- (可选)ε_Zc = max_ω |Z_c^{rep} − Z_c^{pub}| > ε_Zc_gate
- R-HF-4(环境不可再现):env_lock 重建失败或指纹不一致。
- R-HF-5(审计轨缺失):缺 hashes 或关键日志不完整。
VIII. 合规模板(一次性粘贴)
等价性与一致性校验(伪代码)# 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) KPI 与传播一致性
phi = unwrap(argZ - ω*Δt_sync)
T_group = grad(phi, ω)
assert max_abs(T_group - L*grad(beta, ω)) <= u_Tg # 若 beta 可得
# 3) 正实/因果快速门
assert min(Re(Z_eft)) >= 0.0 and KK_consistency(Z_eft)
# 4) 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_Tg = max_abs(Tg_rep - Tg_pub)
eps_W = max_over_ω(sum_abs(w_rep - w_pub))
eps_Zc = max_abs(Zc_rep - Zc_pub)
assert eps_Z<=ε_Z_gate and eps_phi<=ε_φ_gate and eps_Tg<=ε_Tg_gate and eps_W<=ε_W_gate and eps_Zc<=ε_Zc_gate
阈值建议(可在数据卡细化)
equivalence_gates:
eps_Z_gate: 0.03 # 3% 相对误差
eps_phi_gate: 0.05 # rad
eps_Tg_gate: 0.10e-9 # s
eps_W_gate: 0.10 # 权重总差
eps_Zc_gate: 2.0 # Ω(示例)
IX. 跨章引用与闭环
- 依赖:第7章(相干窗 KPI)、第8章(S↔Z 映射)、第9章(计量链)、第10章(证伪)、第11章(协同)、第12章(设计规则)、第14章(仿真栈)。
- 对接:第16章(设计规程与工程清单,将复现门与等价性阈值纳入签核),以及《EFT.WP.Core.DataSpec / Methods.Repro》之统一规范。
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首次发布: 2025-11-11|当前版本:v5.1
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