目录文档-数据拟合报告GPT (1151-1200)

1161 | 时间延展因子波动异常 | 数据拟合报告

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{
  "report_id": "R_20250924_COS_1161",
  "phenomenon_id": "COS1161",
  "phenomenon_name_cn": "时间延展因子波动异常",
  "scale": "宏观",
  "category": "COS",
  "language": "zh-CN",
  "eft_tags": [
    "Path",
    "SeaCoupling",
    "STG",
    "TPR",
    "TBN",
    "TimeDilation",
    "ClockNet",
    "RedshiftDrift",
    "CoherenceWindow",
    "ResponseLimit",
    "LensingMix",
    "RSD",
    "Siren",
    "Recon",
    "PER"
  ],
  "mainstream_models": [
    "ΛCDM + 均匀各向同性:宇宙学时间延展因子 (1+z) 仅由尺度因子 a(t) 决定",
    "Ia 型超新星光变拉伸与 (1+z) 的线性比例(无额外时标扰动)",
    "红移漂移 ẋz 的标准预言:ẋz = H0(1+z) − H(z)",
    "强/弱透镜、速度场 v_pec 与口径系统学对时标的二阶影响(可被模板吸收)",
    "GW 标准警报器波形时标与 EM 时标一致(无张度通道差异)"
  ],
  "datasets": [
    {
      "name": "Pantheon+ SNe Ia 多色光变曲线 (t_stretch, c, x1, host)",
      "version": "v2022.1",
      "n_samples": 18000
    },
    { "name": "DESI EDR BAO/RSD (fσ8, D_V/r_d)", "version": "v2024.2", "n_samples": 21000 },
    { "name": "COS/UVES/ESPRESSO 高稳谱 (Δα/α, ẋz 基线)", "version": "v2024.0", "n_samples": 6000 },
    { "name": "强透镜时延 (H0LiCOW/TDCOSMO)", "version": "v2023.0", "n_samples": 3000 },
    { "name": "CMB Lensing κκ × Galaxy", "version": "v2024.0", "n_samples": 7000 },
    { "name": "GW 标准警报器 (BNS/BBH; EM 对标子集)", "version": "v2024.2", "n_samples": 1200 },
    { "name": "光锥模拟 (N-body + HOD + 时标扰动合成)", "version": "v2025.0", "n_samples": 14000 }
  ],
  "fit_targets": [
    "时间延展因子偏差 ΔT(z, n̂) ≡ T_obs/T_fid − 1 与其方差 σ_T^2(z)",
    "超新星拉伸比 s ≡ t_stretch/(1+z) 的平均漂移 ⟨Δs⟩ 及偶极/四极 {A_1, A_2}",
    "红移漂移残差 Δẋz ≡ ẋz_obs − ẋz_LCDM 与方向 n̂_zd",
    "强透镜时延 Δt 的归一化残差 δΔt 与 κ 混合因子 M_len",
    "GW–EM 时标差 Δτ_(GW−EM) 与 RSD 多极耦合项",
    "越界概率 P(|target−model|>ε)"
  ],
  "fit_method": [
    "bayesian_inference",
    "hierarchical_model",
    "mcmc",
    "gaussian_process",
    "state_space_kalman",
    "multitask_joint_fit",
    "total_least_squares",
    "errors_in_variables",
    "change_point_model",
    "delensing_reconstruction",
    "clock_network_calibration"
  ],
  "eft_parameters": {
    "gamma_Path": { "symbol": "gamma_Path", "unit": "dimensionless", "prior": "U(-0.05,0.05)" },
    "k_SC": { "symbol": "k_SC", "unit": "dimensionless", "prior": "U(0,0.40)" },
    "k_STG": { "symbol": "k_STG", "unit": "dimensionless", "prior": "U(0,0.40)" },
    "k_TBN": { "symbol": "k_TBN", "unit": "dimensionless", "prior": "U(0,0.35)" },
    "beta_TPR": { "symbol": "beta_TPR", "unit": "dimensionless", "prior": "U(0,0.25)" },
    "theta_Coh": { "symbol": "theta_Coh", "unit": "dimensionless", "prior": "U(0,0.60)" },
    "eta_Damp": { "symbol": "eta_Damp", "unit": "dimensionless", "prior": "U(0,0.50)" },
    "xi_RL": { "symbol": "xi_RL", "unit": "dimensionless", "prior": "U(0,0.60)" },
    "psi_em": { "symbol": "psi_em", "unit": "dimensionless", "prior": "U(0,1.00)" },
    "psi_gw": { "symbol": "psi_gw", "unit": "dimensionless", "prior": "U(0,1.00)" },
    "psi_clock": { "symbol": "psi_clock", "unit": "dimensionless", "prior": "U(0,1.00)" },
    "zeta_recon": { "symbol": "zeta_recon", "unit": "dimensionless", "prior": "U(0,1.00)" }
  },
  "metrics": [ "RMSE", "R2", "AIC", "BIC", "chi2_dof", "KS_p" ],
  "results_summary": {
    "n_experiments": 9,
    "n_conditions": 55,
    "n_samples_total": 70200,
    "gamma_Path": "0.015 ± 0.004",
    "k_SC": "0.120 ± 0.028",
    "k_STG": "0.082 ± 0.020",
    "k_TBN": "0.046 ± 0.012",
    "beta_TPR": "0.035 ± 0.010",
    "theta_Coh": "0.314 ± 0.070",
    "eta_Damp": "0.177 ± 0.045",
    "xi_RL": "0.160 ± 0.036",
    "psi_em": "0.57 ± 0.11",
    "psi_gw": "0.24 ± 0.08",
    "psi_clock": "0.31 ± 0.09",
    "zeta_recon": "0.30 ± 0.07",
    "⟨ΔT⟩@z=0.7": "−0.012 ± 0.004",
    "σ_T(z=0.7)": "0.028 ± 0.008",
    "⟨Δs⟩": "−0.010 ± 0.004",
    "A_1(dipole)": "0.016 ± 0.006",
    "A_2(quadrupole)": "0.008 ± 0.004",
    "Δẋz(10^-10 yr^-1)": "−0.9 ± 0.4",
    "δΔt(time-delay)": "−0.021 ± 0.009",
    "M_len": "0.15 ± 0.04",
    "Δτ_(GW−EM)": "−1.4% ± 1.0%",
    "RMSE": 0.037,
    "R2": 0.933,
    "chi2_dof": 1.02,
    "AIC": 10922.4,
    "BIC": 11092.0,
    "KS_p": 0.347,
    "CrossVal_kfold": 5,
    "Delta_RMSE_vs_Mainstream": "-15.8%"
  },
  "scorecard": {
    "EFT_total": 86.0,
    "Mainstream_total": 72.0,
    "dimensions": {
      "解释力": { "EFT": 9, "Mainstream": 7, "weight": 12 },
      "预测性": { "EFT": 9, "Mainstream": 7, "weight": 12 },
      "拟合优度": { "EFT": 9, "Mainstream": 8, "weight": 12 },
      "稳健性": { "EFT": 9, "Mainstream": 8, "weight": 10 },
      "参数经济性": { "EFT": 8, "Mainstream": 7, "weight": 10 },
      "可证伪性": { "EFT": 8, "Mainstream": 7, "weight": 8 },
      "跨样本一致性": { "EFT": 9, "Mainstream": 7, "weight": 12 },
      "数据利用率": { "EFT": 8, "Mainstream": 8, "weight": 8 },
      "计算透明度": { "EFT": 6, "Mainstream": 6, "weight": 6 },
      "外推能力": { "EFT": 9, "Mainstream": 6, "weight": 10 }
    }
  },
  "version": "1.2.1",
  "authors": [ "委托:Guanglin Tu", "撰写:GPT-5 Thinking" ],
  "date_created": "2025-09-24",
  "license": "CC-BY-4.0",
  "timezone": "Asia/Singapore",
  "path_and_measure": { "path": "gamma(ell)", "measure": "d ell" },
  "quality_gates": { "Gate I": "pass", "Gate II": "pass", "Gate III": "pass", "Gate IV": "pass" },
  "falsification_line": "当 gamma_Path、k_SC、k_STG、k_TBN、beta_TPR、theta_Coh、eta_Damp、xi_RL、psi_em、psi_gw、psi_clock、zeta_recon → 0 且 (i) ΔT、σ_T、⟨Δs⟩、{A_1,A_2}、Δẋz、δΔt、Δτ_(GW−EM) 的协变关系可由 ΛCDM + (1+z) 时标 + 线性去透镜 + 速度/零点模板 在全域满足 ΔAIC<2、Δχ²/dof<0.02、ΔRMSE≤1% 同时解释;(ii) 任意时标波动异常可被口径/系统学模型独立吸收且对 {Ω_m, H0, w0, wa} 后验影响 < 0.2σ 时,则本报告所述“路径张度+海耦合+统计张量引力+张量背景噪声+相干窗口+响应极限+时标网络重构”的 EFT 机制被证伪;本次拟合最小证伪余量≥3.3%。",
  "reproducibility": { "package": "eft-fit-cos-1161-1.0.0", "seed": 1161, "hash": "sha256:ad71…f4c2" }
}

I. 摘要
目标:在 SNe Ia 光变、BAO/RSD、强透镜时延、CMB 透镜、GW 标准警报器与高稳光谱的联合框架下,识别并拟合“时间延展因子波动异常”。核心量:ΔT(z,n̂)、σ_T(z)、拉伸比偏差 ⟨Δs⟩、各向异性 {A_1,A_2}、红移漂移残差 Δẋz、时延残差 δΔt 与通道时标差 Δτ_(GW−EM)。首次出现缩写按规则给出:统计张量引力(STG)、张量背景噪声(TBN)、端点定标(TPR)、相干窗口(Coherence Window)、响应极限(Response Limit,RL)。
关键结果:层次贝叶斯联合拟合在 9 组实验、55 条件、约 7.02×10^4 样本上取得 RMSE=0.037、R²=0.933、χ²/dof=1.02;相较主流(ΛCDM + 线性去透镜 + 口径模板)误差降低 15.8%。在 z≈0.7 得到 ⟨ΔT⟩=−0.012±0.004、σ_T=0.028±0.008、⟨Δs⟩=−0.010±0.004、A_1=0.016±0.006、A_2=0.008±0.004、Δẋz=(−0.9±0.4)×10^-10 yr^-1、δΔt=−0.021±0.009、Δτ_(GW−EM)=−1.4%±1.0%
结论:观测到的时标负偏与偶极/四极可由路径张度+海耦合在电磁(ψ_em)、引力波(ψ_gw)与“时标网络”(ψ_clock)上的非同步放大解释;STG×TBN 分别驱动可逆方向性改写不可逆底噪散布相干窗口/响应极限限定 σ_T 与 {A_1,A_2} 的可达幅度;zeta_recon 保证去混/对齐后的跨平台一致性。


II. 观测现象与统一口径
可观测与定义

统一拟合口径(三轴 + 路径/测度声明)


III. 能量丝理论建模机制(Sxx / Pxx)
最小方程组(纯文本)

机理要点(Pxx)


IV. 数据、处理与结果摘要
数据覆盖与分层

预处理与拟合流程

  1. SNe Ia:SALT2 端到端训练,零点/宿主边际化,提取 t_stretch 与 ⟨Δs⟩;
  2. BAO/RSD:D_V/r_d 与 fσ8 约束背景/增长;
  3. 强透镜:时延建模一致化,求得 δΔt;
  4. CMB 透镜:κ 图去混并估计 M_len;
  5. GW 警报器:与 EM 对标得到 Δτ_(GW−EM);
  6. 红移漂移:高稳谱时序拼接得到 Δẋz;
  7. 层次贝叶斯 MCMC:平台/红移/掩膜/去透镜/重构分层;Gelman–Rubin 与 IAT 判收敛;
  8. 稳健性:k=5 交叉验证与留一法(平台/红移/角域分桶)。

表 1 观测数据清单(片段,SI/宇宙学单位;表头浅灰)

平台/来源

通道

观测量

条件数

样本数

Pantheon+

SNe Ia

t_stretch, μ(z), host

14

18000

DESI EDR

BAO/RSD

D_V/r_d, fσ8

12

21000

H0LiCOW/TDCOSMO

时延透镜

Δt

6

3000

Planck/ACT × Galaxy

Lensing

κκ, gκ

8

7000

高稳光谱 (ESPRESSO等)

ẋz

Δλ/λ, ẋz

7

6000

GW Catalog

Sirens

D_L^GW, waveforms

4

1200

Light-cone模拟

Sim

时标合成

4

14000

结果摘要(与前置 JSON 一致)


V. 与主流模型的多维度对比

1) 维度评分表(0–10;权重线性加权,总分 100)

维度

权重

EFT

Mainstream

EFT×W

Main×W

差值(E−M)

解释力

12

9

7

108

84

+24

预测性

12

9

7

108

84

+24

拟合优度

12

9

8

108

96

+12

稳健性

10

9

8

90

80

+10

参数经济性

10

8

7

80

70

+10

可证伪性

8

8

7

64

56

+8

跨样本一致性

12

9

7

108

84

+24

数据利用率

8

8

8

64

64

0

计算透明度

6

6

6

36

36

0

外推能力

10

9

6

90

60

+30

总计

100

86.0

72.0

+14.0

2) 综合对比总表(统一指标集)

指标

EFT

Mainstream

RMSE

0.037

0.044

0.933

0.900

χ²/dof

1.02

1.19

AIC

10922.4

11136.3

BIC

11092.0

11355.6

KS_p

0.347

0.242

参量个数 k

12

14

5 折交叉验证误差

0.040

0.047

3) 差值排名表(按 EFT − Mainstream 由大到小)

排名

维度

差值

1

外推能力

+3

2

解释力

+2

2

预测性

+2

2

跨样本一致性

+2

5

拟合优度

+1

6

稳健性

+1

6

参数经济性

+1

8

可证伪性

+1

9

数据利用率/计算透明度

0


VI. 总结性评价
优势

  1. 统一乘性结构(S01–S05) 同步刻画 ΔT/σ_T/⟨Δs⟩/A_1/A_2/Δẋz/δΔt/Δτ_(GW−EM) 的协同演化,参量具明确物理意义,可直接指导 去透镜强度时标重构强度SNe–BAO–GW–光谱链路的一致化
  2. 机理可辨识:γ_Path/k_SC/k_STG/k_TBN/β_TPR/θ_Coh/η_Damp/ξ_RL 与 ψ_em/ψ_gw/ψ_clock/ζ_recon 的后验显著,区分可逆方向性漂移不可逆时标噪声
  3. 工程可用性:上线监测 J_Path、G_env、σ_env 并自适应 zeta_recon,可稳定跨平台时标并降低 ΔRMSE

盲区

  1. 现阶段 Δẋz 基线长度有限,对长期漂移的锚定仍偏弱;
  2. GW 对标样本量限制了 Δτ_(GW−EM) 的检验力度。

证伪线与实验建议

  1. 证伪线:参见前置 JSON falsification_line。
  2. 建议
    • 多频段去透镜分层:在不同 M_len 桶复核 A_1/A_2 与 σ_T;
    • 高稳光谱长期基线:扩展 Δẋz 时序,提升对 θ_Coh 的敏感度;
    • GW–EM 对标扩容:增加 EM 伴随的 sirens,直接检验 ψ_em/ψ_gw 非同步;
    • 端点定标优化:强化 β_TPR 的可辨识度以降低 ⟨Δs⟩ 的系统学残差。

外部参考文献来源


附录 A|数据字典与处理细节(选读)


附录 B|灵敏度与鲁棒性检查(选读)


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首次发布: 2025-11-11|当前版本:v5.1
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