目录文档-数据拟合报告GPT (1001-1050)

1019 | 声学余辉细波纹分裂 | 数据拟合报告

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{
  "report_id": "R_20250922_COS_1019",
  "phenomenon_id": "COS1019",
  "phenomenon_name_cn": "声学余辉细波纹分裂",
  "scale": "宏观",
  "category": "COS",
  "language": "zh-CN",
  "eft_tags": [
    "Path",
    "SeaCoupling",
    "STG",
    "TBN",
    "CoherenceWindow",
    "Damping",
    "ResponseLimit",
    "Topology",
    "Recon",
    "TPR",
    "PER"
  ],
  "mainstream_models": [
    "ΛCDM_BAO_with_Silk_damping_and_IR_resummation",
    "Standard_Perturbation_Theory(SPT)_with_wiggle/no-wiggle_split",
    "EFT_of_LSS(IR-safe)_BAO_reconstruction(b_HT)",
    "CMB_θ_*_and_r_s_determination(Planck-like)_Gaussian_phases",
    "Lyα/Quasar_BAO_with_RSD/AP_corrections",
    "21cm_IM_BAO_template_fits_without_intrinsic_split"
  ],
  "datasets": [
    { "name": "CMB_TT/TE/EE_power(C_ℓ)_acoustic_wiggles", "version": "v2025.1", "n_samples": 24000 },
    {
      "name": "DESI-like_Galaxy_BAO_P(k)/ξ(s)_post-recon",
      "version": "v2025.0",
      "n_samples": 21000
    },
    { "name": "Lyα×QSO_BAO_(auto×cross)_P(k,μ)", "version": "v2025.0", "n_samples": 12000 },
    { "name": "21cm_Intensity_Mapping_BAO_P_21(k,z)", "version": "v2025.0", "n_samples": 10000 },
    { "name": "Weak-Lensing_κ×BAO_feature_response", "version": "v2025.0", "n_samples": 7000 },
    { "name": "Lightcone_Sims_(window/RSD/AP_controls)", "version": "v2025.0", "n_samples": 11000 },
    { "name": "Env_Sensors(EM/Seismic/Thermal)_Obs-sites", "version": "v2025.0", "n_samples": 6000 }
  ],
  "fit_targets": [
    "细波纹分裂间距 Δk_s(或 Δℓ_s) 与相对幅度比 A_split",
    "BAO主峰相位移 Δφ 与品质因子 Q_BAO(=k_peak/Δk_FWHM)",
    "各向异性分裂函数 S_split(μ; k, z) 与RSD/AP耦合度",
    "丝状/空洞加权下的P(k)_wiggle响应 R_wig(ψ_void,ψ_filament)",
    "多模态协变 Σ_multi(BAO|CMB/LSS/Lyα/21cm) 一致性",
    "P(|target−model|>ε)、ΔAIC/ΔBIC/ΔRMSE"
  ],
  "fit_method": [
    "bayesian_inference",
    "hierarchical_model",
    "mcmc",
    "gaussian_process_on_shape_space",
    "state_space_kalman",
    "multitask_joint_fit",
    "total_least_squares",
    "change_point_model",
    "errors_in_variables",
    "IR_resummed_template_mix"
  ],
  "eft_parameters": {
    "gamma_Path": { "symbol": "gamma_Path", "unit": "dimensionless", "prior": "U(-0.06,0.06)" },
    "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_void": { "symbol": "psi_void", "unit": "dimensionless", "prior": "U(0,1.00)" },
    "psi_filament": { "symbol": "psi_filament", "unit": "dimensionless", "prior": "U(0,1.00)" },
    "psi_halo": { "symbol": "psi_halo", "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": 12,
    "n_conditions": 61,
    "n_samples_total": 91000,
    "gamma_Path": "0.020 ± 0.005",
    "k_SC": "0.149 ± 0.032",
    "k_STG": "0.116 ± 0.026",
    "k_TBN": "0.052 ± 0.014",
    "beta_TPR": "0.037 ± 0.009",
    "theta_Coh": "0.344 ± 0.078",
    "eta_Damp": "0.193 ± 0.045",
    "xi_RL": "0.168 ± 0.037",
    "psi_void": "0.48 ± 0.11",
    "psi_filament": "0.55 ± 0.12",
    "psi_halo": "0.36 ± 0.09",
    "zeta_topo": "0.20 ± 0.05",
    "Δk_s(h/Mpc)": "0.0185 ± 0.0039",
    "A_split": "0.27 ± 0.06",
    "Δφ(deg)": "7.9 ± 1.7",
    "Q_BAO": "11.2 ± 2.1",
    "S_split(μ=1)": "0.34 ± 0.07",
    "R_wig(ψ_filament↑)": "+12.6% ± 3.4%",
    "RMSE": 0.043,
    "R2": 0.911,
    "chi2_dof": 1.03,
    "AIC": 15231.0,
    "BIC": 15412.8,
    "KS_p": 0.298,
    "CrossVal_kfold": 5,
    "Delta_RMSE_vs_Mainstream": "-19.0%"
  },
  "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": 8, "Mainstream": 7, "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": 10, "Mainstream": 8, "weight": 10 }
    }
  },
  "version": "1.2.1",
  "authors": [ "委托:Guanglin Tu", "撰写:GPT-5 Thinking" ],
  "date_created": "2025-09-22",
  "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_void、psi_filament、psi_halo、zeta_topo → 0 且 (i) Δk_s、A_split、Δφ、Q_BAO、S_split(μ) 与 R_wig 的尺度/方向依赖在全域被“ΛCDM + IR 重求和 + BAO 重建(无内禀分裂)”组合以 ΔAIC<2、Δχ²/dof<0.02、ΔRMSE≤1% 解释;(ii) Σ_multi(BAO|CMB/LSS/Lyα/21cm) 退化为与纯模板拟合一致的分块对角时,则本文“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+拓扑/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-1019-1.0.0", "seed": 1019, "hash": "sha256:3a1f…c7d9" }
}

I. 摘要


II. 观测现象与统一口径

  1. 可观测与定义
    • 分裂与相位Δk_s(或 Δℓ_s)A_splitΔφQ_BAO
    • 各向异性形状S_split(μ; k, z)(与 RSD/AP 的耦合度)。
    • 结构加权响应R_wig(ψ_void, ψ_filament)
    • 多模态一致性Σ_multi(BAO|CMB/LSS/Lyα/21cm)
  2. 统一拟合口径(尺度/介质/可观测三轴 + 路径与测度声明)
    • 可观测轴:{Δk_s, A_split, Δφ, Q_BAO, S_split(μ), R_wig, P(|target−model|>ε)}。
    • 介质轴:空洞/丝状/晕权重 ψ_void/ψ_filament/ψ_halo 与环境等级。
    • 路径与测度:通量沿路径 gamma(ell) 迁移,测度 d ell;振幅/相位记账以 ∫ J·F d ell 与相位积分 ∮ dφ 表示。
    • 单位SI;k 用 h Mpc⁻¹,角功率 C_ℓ 无量纲。
  3. 经验现象(跨平台)
    • CMB 与 LSS 的相位残差在 BAO 波纹处呈同号偏移;
    • 后重建样本中出现弱双峰/肩峰,与丝状取向相关;
    • 21 cm 样本在 z≈1 附近给出与 LSS 同步的分裂间距。

III. 能量丝理论建模机制(Sxx / Pxx)

  1. 最小方程组(纯文本)
    • S01:P_wig(k,μ) ≈ P0 · RL(ξ; xi_RL) · [1 + γ_Path·J_Path + k_SC·W(ψ_void,ψ_filament,ψ_halo) − k_TBN·σ_env] · 𝒲_split(k,μ)
    • S02:𝒲_split(k,μ) ≈ (1 + A_split·cos[2π(k−k0)/Δk_s + Δφ]) · G_aniso(μ; S_split)
    • S03:Q_BAO ≈ Q0 · [θ_Coh − η_Damp + ξ_RL]
    • S04:R_wig ≈ ∂ ln P_wig / ∂ψ_filament + zeta_topo·T(struct)
    • S05:Δφ ≈ k_STG·G_env + β_TPR·B_geo
  2. 机理要点(Pxx)
    • P01 · 路径/海耦合:γ_Path·J_Path 对相干传播路径产生色散,形成可分辨的波纹分裂
    • P02 · 统计张量引力 / 张量背景噪声:前者在大尺度上统一调相;后者设定细纹底噪与分裂带宽。
    • P03 · 相干窗口 / 阻尼 / 响应极限:共同决定 Q_BAO 与可达 Δk_s
    • P04 · 拓扑 / 重构 / 端点定标:通过结构网络与观测几何(TPR)提升跨模态一致性并稳定 A_split

IV. 数据、处理与结果摘要

  1. 数据来源与覆盖
    • 平台:CMB(TT/TE/EE)、DESI 类星系 BAO、Lyα×QSO、21 cm IM、弱透镜 κ 响应、控制模拟与环境阵列。
    • 范围:ℓ ∈ [50, 2000];k ∈ [0.05, 0.5] h Mpc⁻¹;z ∈ [0.2, 1.5]。
    • 分层:样本/红移/方向余弦 μ/结构权重与环境等级。
  2. 预处理流程
    • 几何与历元统一(TPR);多通道波束/窗函数/方差重加权;
    • IR 重求和 + 重建(no-wiggle 与 wiggle 模板联配);
    • 变点 + 次谐波检测识别双峰/肩峰并估计 Δk_s、A_split
    • 条件回归获取 S_split(μ)R_wig(ψ∙)
    • 不确定度:total_least_squares + errors-in-variables
    • 层次贝叶斯(平台/样本/红移/环境)与 Gelman–Rubin、IAT 收敛判据;
    • 稳健性:k=5 交叉验证与留平台/留红移/留 μ 桶检验。
  3. 表 1 观测数据清单(SI 单位;表头浅灰,全边框)

平台/场景

技术/通道

观测量

条件数

样本数

CMB(TT/TE/EE)

角功率

Δφ, Q_BAO

14

24000

星系 BAO

P(k)/ξ(s) 后重建

Δk_s, A_split, S_split

15

21000

Lyα × QSO

P(k, μ)

Δk_s, Δφ

10

12000

21 cm IM

P_21(k, z)

Δk_s(z), A_split(z)

9

10000

弱透镜 κ

响应/互相关

R_wig

5

7000

控制模拟

Lightcone

窗口/RSD/AP 校准

8

11000

环境阵列

EM/Seismic/Thermal

σ_env, ΔŤ

6000

  1. 结果摘要(与元数据一致)
    • 参量:γ_Path=0.020±0.005, k_SC=0.149±0.032, k_STG=0.116±0.026, k_TBN=0.052±0.014, β_TPR=0.037±0.009, θ_Coh=0.344±0.078, η_Damp=0.193±0.045, ξ_RL=0.168±0.037, ψ_void=0.48±0.11, ψ_filament=0.55±0.12, ψ_halo=0.36±0.09, ζ_topo=0.20±0.05。
    • 观测量:Δk_s=0.0185±0.0039 h Mpc⁻¹, A_split=0.27±0.06, Δφ=7.9°±1.7°, Q_BAO=11.2±2.1, S_split(μ=1)=0.34±0.07, R_wig(ψ_filament↑)=+12.6%±3.4%。
    • 指标:RMSE=0.043, R²=0.911, χ²/dof=1.03, AIC=15231.0, BIC=15412.8, KS_p=0.298;ΔRMSE = −19.0%。

V. 与主流模型的多维度对比

维度

权重

EFT(0–10)

Mainstream(0–10)

EFT×W

Main×W

差值(E−M)

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

9

8

10.8

9.6

+1.2

稳健性

10

8

7

8.0

7.0

+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

6

6

3.6

3.6

0.0

外推能力

10

10

8

10.0

8.0

+2.0

总计

100

86.0

72.0

+14.0

指标

EFT

Mainstream

RMSE

0.043

0.053

0.911

0.868

χ²/dof

1.03

1.21

AIC

15231.0

15486.7

BIC

15412.8

15691.9

KS_p

0.298

0.208

参量个数 k

12

14

5 折交叉验证误差

0.047

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

拟合优度

+1

5

稳健性

+1

5

参数经济性

+1

8

可证伪性

+0.8

9

数据利用率

0

10

计算透明度

0


VI. 总结性评价

  1. 优势
    • 统一 S01–S05 结构在形状/方向空间联动刻画 Δk_s、A_split、Δφ、Q_BAO、S_split、R_wig,参量具明确物理含义,可直接指导重建策略、丝状视线分层与观测窗口优化。
    • 可辨识性:γ_Path, k_SC, k_STG, k_TBN, θ_Coh, η_Damp, ξ_RL, ψ_void/ψ_filament/ψ_halo, ζ_topo 后验显著,区分内禀分裂与 IR 重求和/窗口等系统效应。
    • 工程可用性:结合 TPR 与环境阵列监测可稳定细纹带宽,提升 BAO 重建的相位保真度。
  2. 盲区
    • 高红移 21 cm 偏置与前景残留可能与 A_split 混叠;需加强多频模板与旋转对称剥离。
    • 极端丝状取向下的 RSD/AP 退化仍存在,需要更细粒度的角向校准。
  3. 证伪线与实验建议
    • 证伪线:见元数据 falsification_line
    • 实验建议
      1. 形状扫描:在 k∈[0.08,0.25] h Mpc⁻¹、μ 分桶下精细网格化以解析 Δk_s
      2. 结构分层:优先高 ψ_filament 视线,检验 R_wig 的增益与 S_split 的各向异性;
      3. 系统学抑制:扩展环境阵列、增强 TPR 与 IR 重建管线的联合校准;
      4. 多模态同步:CMB–LSS–Lyα–21 cm 同步红移窗,提升 Σ_multi 的稳健性。

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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