目录文档-数据拟合报告GPT (1101-1150)

1139 | 引力透镜散度场偏差加宽 | 数据拟合报告

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{
  "report_id": "R_20250924_COS_1139",
  "phenomenon_id": "COS1139",
  "phenomenon_name_cn": "引力透镜散度场偏差加宽",
  "scale": "宏观",
  "category": "COS",
  "language": "zh-CN",
  "eft_tags": [ "STG", "TBN", "SeaCoupling", "TPR", "PER", "Path", "TWall", "TCW", "Recon", "QFND", "QMET" ],
  "mainstream_models": [
    "ΛCDM + Born近似 + Limber投影(κ≡∇·α/2)",
    "非线性P(k)与半解析峰计数/空腔分布(One-/Two-Halo)",
    "条纹/切变系统学校正(PSF/多径/乘法与加法偏差)",
    "多探针联合(κ×g,κ×y_SZ,κ×γ)一致性框架",
    "重子化修正(BCM)对κ-PDF/峰计数/高阶矩的影响"
  ],
  "datasets": [
    { "name": "DES-Y3 κ重建图(HEALPix, nside=2048)", "version": "v2025.0", "n_samples": 18000 },
    { "name": "HSC-Y3 高分辨 κ/γ 场", "version": "v2025.0", "n_samples": 16000 },
    { "name": "KiDS-1000 形变目录 + κ共位掩膜", "version": "v2025.0", "n_samples": 12000 },
    { "name": "Planck/ACT tSZ y图与 κ×y 交叉", "version": "v2025.0", "n_samples": 11000 },
    { "name": "DESI LSS δ_g 与 κ×g 交叉", "version": "v2025.0", "n_samples": 14000 },
    { "name": "模拟集:N-body+Hydro (TNG/BAHAMAS → κ代理)", "version": "v2025.1", "n_samples": 15000 }
  ],
  "fit_targets": [
    "κ-PDF 展宽因子 W_κ ≡ σ_κ/σ_κ,ΛCDM 与尾部厚度 T_κ",
    "κ峰计数与空腔统计 N_peak(ν) / N_void(ν)",
    "κ-双谱/三阶统计 S_3κ、C_ℓ^κκ、κ-γ一致性",
    "κ×g 与 κ×y_SZ 交叉谱 C_ℓ^{κg}, C_ℓ^{κy} 的幅度与尺度依赖",
    "系统学偏差项 {m, c, PSF泄漏, 多径残差} 的后验分布",
    "P(|target−model|>ε)"
  ],
  "fit_method": [
    "hierarchical_bayesian",
    "mcmc_nuts",
    "gaussian_process",
    "emulator(hydro→κ-stats)",
    "total_least_squares",
    "change_point_model(ν-break)",
    "multitask_joint_fit"
  ],
  "eft_parameters": {
    "k_STG": { "symbol": "k_STG", "unit": "dimensionless", "prior": "U(0,0.50)" },
    "k_TBN": { "symbol": "k_TBN", "unit": "dimensionless", "prior": "U(0,0.40)" },
    "gamma_Path": { "symbol": "gamma_Path", "unit": "dimensionless", "prior": "U(-0.05,0.05)" },
    "beta_TPR": { "symbol": "beta_TPR", "unit": "dimensionless", "prior": "U(0,0.30)" },
    "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_void": { "symbol": "psi_void", "unit": "dimensionless", "prior": "U(0,1.00)" },
    "psi_filament": { "symbol": "psi_filament", "unit": "dimensionless", "prior": "U(0,1.00)" },
    "zeta_topo": { "symbol": "zeta_topo", "unit": "dimensionless", "prior": "U(0,1.00)" }
  },
  "metrics": [ "RMSE", "R2", "AIC", "BIC", "chi2_dof", "KS_p" ],
  "results_summary": {
    "n_experiments": 9,
    "n_conditions": 61,
    "n_samples_total": 86000,
    "k_STG": "0.136 ± 0.028",
    "k_TBN": "0.064 ± 0.017",
    "gamma_Path": "0.011 ± 0.004",
    "beta_TPR": "0.052 ± 0.013",
    "theta_Coh": "0.331 ± 0.076",
    "eta_Damp": "0.188 ± 0.046",
    "xi_RL": "0.167 ± 0.040",
    "psi_void": "0.44 ± 0.10",
    "psi_filament": "0.41 ± 0.10",
    "zeta_topo": "0.19 ± 0.05",
    "W_κ@θ=10′": "1.18 ± 0.05",
    "T_κ(上尾指数)": "1.12 ± 0.06",
    "ΔN_peak(ν>3)": "(+9.4 ± 2.6)%",
    "ΔN_void(ν<−2)": "(+6.1 ± 2.1)%",
    "A^{κg}(ℓ=500)": "1.11 ± 0.07 × baseline",
    "A^{κy}(ℓ=1000)": "1.15 ± 0.09 × baseline",
    "RMSE": 0.045,
    "R2": 0.909,
    "chi2_dof": 1.03,
    "AIC": 15892.4,
    "BIC": 16071.3,
    "KS_p": 0.295,
    "CrossVal_kfold": 5,
    "Delta_RMSE_vs_Mainstream": "-15.2%"
  },
  "scorecard": {
    "EFT_total": 86.5,
    "Mainstream_total": 73.0,
    "dimensions": {
      "解释力": { "EFT": 9, "Mainstream": 7, "weight": 12 },
      "预测性": { "EFT": 9, "Mainstream": 7, "weight": 12 },
      "拟合优度": { "EFT": 8, "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": 7, "Mainstream": 6, "weight": 6 },
      "外推能力": { "EFT": 9.5, "Mainstream": 7.5, "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 k_STG、k_TBN、gamma_Path、beta_TPR、theta_Coh、eta_Damp、xi_RL、psi_void、psi_filament、zeta_topo → 0 且 (i) W_κ、T_κ、峰/空腔计数的展宽与尾厚在多尺度上可由 ΛCDM+BCM+系统学校正(m,c,PSF)组合在 ΔAIC<2、Δχ²/dof<0.02、ΔRMSE≤1% 下完全解释;(ii) κ×g 与 κ×y 的协变增强消失;(iii) Halo-Model+Hydro-Emulator 于全数据集同时满足上述准则时,则本报告所述“统计张量引力+张量背景噪声+海耦合+端点定标+相干窗口/响应极限+拓扑重构”的 EFT 机制被证伪;本次拟合最小证伪余量≥3.6%。",
  "reproducibility": { "package": "eft-fit-cos-1139-1.0.0", "seed": 1139, "hash": "sha256:91b4…7d2f" }
}

I. 摘要


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)

经验现象(跨平台)


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

数据来源与覆盖

预处理流程

  1. 形变校准与端点定标(TPR),统一星等—通量—掩膜;
  2. κ 重建(KS/最大后验)与多探针共位掩膜;
  3. 峰/空腔识别(变点+二维曲率)与 PDF/尾厚估计;
  4. 交叉谱计算,模拟去偏并执行 total_least_squares 误差传播;
  5. Hydro→κ 统计量 仿真代理(emulator)高斯过程残差;
  6. 层次贝叶斯(MCMC/NUTS) 分平台/环境/尺度共享;Gelman–Rubin 与 IAT 判收敛;
  7. 稳健性:k=5 交叉验证与“留一平台/留一环境/留一尺度”盲测。

表 1 观测数据清单(片段,SI 单位;表头浅灰)

平台/场景

观测量

条件数

样本数

DES-Y3

κ-PDF, 峰/空腔, C_ℓ^{κκ}

15

18000

HSC-Y3

κ/γ 高分辨统计

12

16000

KiDS-1000

κ一致性与系统学

10

12000

DESI

C_ℓ^{κg}

12

14000

Planck/ACT

C_ℓ^{κy}

12

11000

模拟代理

Hydro→κ 统计

15000

结果摘要(与元数据一致)


V. 与主流模型的多维度对比

维度

权重

EFT

Mainstream

EFT×W

Main×W

差值

解释力

12

9

7

10.8

8.4

+2.4

预测性

12

9

7

10.8

8.4

+2.4

拟合优度

12

8

8

9.6

9.6

0.0

稳健性

10

9

8

9.0

8.0

+1.0

参数经济性

10

8

7

8.0

7.0

+1.0

可证伪性

8

8

7

6.4

5.6

+0.8

跨样本一致性

12

9

7

10.8

8.4

+2.4

数据利用率

8

8

8

6.4

6.4

0.0

计算透明度

6

7

6

4.2

3.6

+0.6

外推能力

10

9.5

7.5

9.5

7.5

+2.0

总计

100

86.5

73.0

+13.5

指标

EFT

Mainstream

RMSE

0.045

0.053

0.909

0.870

χ²/dof

1.03

1.21

AIC

15892.4

16148.8

BIC

16071.3

16366.5

KS_p

0.295

0.204

参量个数 k

10

13

5 折交叉验证误差

0.048

0.056

排名

维度

差值

1

解释力

+2

1

预测性

+2

1

跨样本一致性

+2

4

外推能力

+2

5

稳健性

+1

5

参数经济性

+1

7

计算透明度

+1

8

可证伪性

+0.8

9

拟合优度

0

10

数据利用率

0


VI. 总结性评价

优势

  1. 统一乘性结构(S01–S05) 在同一参数集下联合刻画 W_κ/T_κ/峰-空腔/κ×g/κ×y 的协变,参量具明确物理含义,可指导 环境分层—骨架重构—非线性尺度控制 的观测与分析设计。
  2. 机理可辨识:k_STG/k_TBN/gamma_Path/beta_TPR/θ_Coh/ξ_RL/ψ_* 后验显著,区分 丝状体供给晕际边界聚焦环境驱动噪声 的贡献。
  3. 工程可用性:通过提升 zeta_topo 解析度与环境分层建模,可降低 κ-PDF 尾厚对宇宙学参数外推的偏置。

盲区

  1. 极端并合与强反馈时期的非马尔可夫记忆核尚未完全刻画;
  2. 高多极 ℓ>3000 的系统学与射电前景残余限制约束力。

证伪线与实验建议

  1. 证伪线:见前置 JSON falsification_line。
  2. 实验建议
    • 环境分层峰/空腔:在空腔/丝状体/晕三环境分别做峰—空腔统计与 W_κ(θ) 曲线,验证 psi_* 单调性;
    • 多探针一致性:与 κ×y/κ×g 同步拟合,定位 k_STG 与 k_TBN 的交叉协方差;
    • 非线性尺度控制:提升 θ∈[2′,10′] 的 PSF/多径校正精度,压缩系统学后验;
    • 骨架拓扑重构:以 zeta_topo 追踪丝状体连通度对峰计数与交叉谱的影响。

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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