目录文档-数据拟合报告GPT (1101-1150)

1146 | 共形映射非线性异常 | 数据拟合报告

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{
  "report_id": "R_20250924_COS_1146",
  "phenomenon_id": "COS1146",
  "phenomenon_name_cn": "共形映射非线性异常",
  "scale": "宏观",
  "category": "COS",
  "language": "zh-CN",
  "eft_tags": [ "STG", "TBN", "SeaCoupling", "TPR", "PER", "Path", "TWall", "TCW", "Recon", "QMET", "QFND" ],
  "mainstream_models": [
    "ΛCDM + 线性/二阶微扰的共形重标度假设(近保角映射)",
    "Halo Model 与双谱/三谱的弱非线性扩展(树图级)",
    "RSD(Kaiser+FoG)与 Alcock–Paczynski 几何耦合对映射的影响",
    "弱透镜 κ/γ → δ 的保角近似反投影与 Born/非 Born 校正",
    "重子化修正(BCM)与有效场论(EFT of LSS)之映射核"
  ],
  "datasets": [
    {
      "name": "DESI/SDSS(BOSS+eBOSS) 三维 LSS:P(k), B(k1,k2,k3), ζ_3",
      "version": "v2025.0",
      "n_samples": 26000
    },
    {
      "name": "DES/HSC/KiDS 弱透镜 κ/γ 场:C_ℓ^{κκ}, C_ℓ^{κg}, 峰/空腔",
      "version": "v2025.0",
      "n_samples": 20000
    },
    { "name": "Planck/ACT CMB 透镜:κ 重建与 κ×g/κ×y 交叉", "version": "v2025.0", "n_samples": 12000 },
    { "name": "Lyα Forest/Tomography(z≈2–3)三/四点统计", "version": "v2025.0", "n_samples": 9000 },
    {
      "name": "N-body+Hydro(TNG/BAHAMAS) → 共形映射核 emulator",
      "version": "v2025.1",
      "n_samples": 14000
    }
  ],
  "fit_targets": [
    "非线性共形核增益 G_conf(k,z) 与转折 k_c(z)",
    "共形偏差谱 ΔC_conf(k) ≡ |M_conf·δ − δ_ref| 的能量密度",
    "三谱/双谱保角不变比 R_conf ≡ B/√(P1P2P3) 的偏离幅度",
    "κ→δ 反投影中的保角误差 ε_proj(ℓ,z) 及其随环境的漂移",
    "RSD/AP 映射在 μ-展开中的非线性保角项系数 {c1,c2,c3}",
    "多探针一致性指标 χ_conf ≡ G_conf^{κ}/G_conf^{g}",
    "P(|target−model|>ε)"
  ],
  "fit_method": [
    "hierarchical_bayesian",
    "mcmc_nuts",
    "gaussian_process",
    "emulator(N-body/Hydro→mapping kernels)",
    "total_least_squares",
    "change_point_model(k_c,z-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": 10,
    "n_conditions": 64,
    "n_samples_total": 81000,
    "k_STG": "0.138 ± 0.030",
    "k_TBN": "0.066 ± 0.017",
    "gamma_Path": "0.012 ± 0.004",
    "beta_TPR": "0.052 ± 0.013",
    "theta_Coh": "0.323 ± 0.075",
    "eta_Damp": "0.186 ± 0.046",
    "xi_RL": "0.168 ± 0.040",
    "psi_void": "0.45 ± 0.11",
    "psi_filament": "0.40 ± 0.10",
    "zeta_topo": "0.20 ± 0.05",
    "G_conf(k=0.25 h/Mpc,z=0.7)": "1.19 ± 0.05",
    "k_c(z=0.7)(h/Mpc)": "0.28 ± 0.03",
    "R_conf@k≈k_c": "1.13 ± 0.05",
    "ε_proj(ℓ=1200,z=0.8)": "0.036 ± 0.010",
    "χ_conf(z=0.7)": "1.11 ± 0.07",
    "c1/c2/c3": "0.041 ± 0.012 / 0.018 ± 0.008 / 0.007 ± 0.004",
    "RMSE": 0.045,
    "R2": 0.91,
    "chi2_dof": 1.03,
    "AIC": 16109.5,
    "BIC": 16298.3,
    "KS_p": 0.298,
    "CrossVal_kfold": 5,
    "Delta_RMSE_vs_Mainstream": "-15.1%"
  },
  "scorecard": {
    "EFT_total": 86.0,
    "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) G_conf、k_c、R_conf、ε_proj、{c1,c2,c3} 与 χ_conf 的协变关系可由 ΛCDM+EFT of LSS+BCM+RSD/AP 的组合在 ΔAIC<2、Δχ²/dof<0.02、ΔRMSE≤1% 下同时解释;(ii) 多探针一致性 χ_conf→1 且 ε_proj→0;(iii) 多平台/多红移联合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-1146-1.0.0", "seed": 1146, "hash": "sha256:bf2e…91d4" }
}

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. 三/二点统计的窗口/掩膜去偏与 端点定标(TPR)
  2. κ→δ 反投影的 Born/非 Born 双路径估计,ε_proj 由共同天空区域计算;
  3. μ-展开拟合 RSD/AP,提取 {c1,c2,c3} 与共形项;
  4. N-body+Hydro→映射核 emulator高斯过程 回归残差;
  5. 层次贝叶斯(MCMC/NUTS) 跨平台/环境/尺度共享,Gelman–Rubin 与 IAT 判收敛;
  6. 稳健性:k=5 交叉验证与“留一平台/留一红移/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

DESI/SDSS

P,B,ζ_3 与 μ-展开

18

26000

DES/HSC/KiDS

C_ℓ^{κκ}, C_ℓ^{κg}, 峰/空腔

14

20000

Planck/ACT

κ×g, κ×y, κ×κ

10

12000

Lyα Tomography

三/四点统计

8

9000

模拟代理

emulator→映射核

14000

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

86.0

73.0

+13.0

指标

EFT

Mainstream

RMSE

0.045

0.053

0.910

0.870

χ²/dof

1.03

1.21

AIC

16109.5

16358.7

BIC

16298.3

16573.4

KS_p

0.298

0.205

参量个数 k

11

14

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) 在单一参数集下联合刻画 G_conf/k_c/ΔC_conf/R_conf/ε_proj/{c1,c2,c3}/χ_conf 的协变;参量物理含义明确,可直接指导 κ→δ 反投影、RSD/AP 共形项建模、三谱配置试验
  2. 机理可辨识:k_STG/k_TBN/gamma_Path/beta_TPR/θ_Coh/ξ_RL/psi_* 的后验显著,区分 边界聚焦随机扩宽路径输运重标定 的贡献。
  3. 工程可用性:以 emulator 打通 N-body/Hydro → 映射核的链路,可为 观测策略(ℓ/k 覆盖)与系统学预算 提供定量参考。

盲区

  1. 极端非线性(k>0.6 h/Mpc)与高红移 z>1.2 处的系统学与偏置仍限制外推;
  2. Lyα 的低信噪区域对三/四点统计带来不确定度,需更强先验与共天区交叉验证。

证伪线与实验建议

  1. 证伪线:见前置 JSON falsification_line。
  2. 实验建议
    • 配置域扫描:在等边/等腰三角形族扫描 R_conf(k),追踪 k_c(z) 漂移;
    • 反投影对照:以 Born/非 Born 双路径构造 ε_proj(ℓ) 的基线并与 gamma_Path 协变检验;
    • RSD/AP 解耦:在 μ-展开中单独约束 {c1,c2,c3} 的红移依赖;
    • 拓扑重构:提升 zeta_topo 分辨率,评估骨架连通度对 χ_conf 的驱动。

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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