E093 · theory closure / 理论闭合

可观测量条件化 ΔC 理论闭合 / Observable-conditioned ΔC theory closure

本页只展示 Part A 已保存的 E093 CSV/Markdown 数字:公式、参数空间、四个模拟闭合族,以及 standalone emldetect 工程 gap。 / This page displays only the persisted E093 CSV/Markdown values from Part A: the formula, parameter space, four simulation closure families, and the standalone-emldetect engineering gap.

公式与“无拟合系数” / Formula and “no fitted coefficient”

待检验的是:给定拟合后的可观测量条件,ΔC 的期望由 μ₃p 加上 δ₁ 给出。 / The tested statement is that, conditional on the fitted observables, the expected ΔC is μ₃p plus δ₁.

E[ΔC | θ̂] = μ₃p + δ₁
δ₁ = 3 + εLawley − 1/2 tr(Hμ I−1) − ∇(μ₃p) · biasCox–Snell
δ₀ = δ₁ − εLawley;   F = E[ΔC − μ₃p] / √V₃p

“无拟合系数”表示没有从闭合样本再拟合一个校正常数;每一项都在拟合输入 θ̂ 上计算。 / “No fitted coefficient” means that no correction constant is refit from the closure samples; every term is evaluated at the fitted input θ̂.

拟合输入 / Fitted inputs

template / 模板PSF/模板形状 / PSF/template shape
b背景条件 / background condition
拟合源强 / fitted source strength
x̂, ŷ拟合位置 / fitted position

公式、δ₀/δ₁ 与 F 的定义均按 results/e093_summary.md 原文展示;页面不添加任何经验系数。 / The formula and the δ₀/δ₁ and F definitions follow results/e093_summary.md; this page adds no empirical coefficient.

参数空间与覆盖范围 / Parameter space and coverage

覆盖范围是干净拟合可观测量行的 p1–p99;DET_ML 由 μ₃p(ν=3)映射,仅作显示,未用于分箱或条件分布截断。 / Ranges are p1–p99 of clean fitted-observable rows; DET_ML is mapped from μ₃p with ν=3 for display only and is not used to bin or truncate a conditional distribution.

掩膜:31×31、4 角秒网格上的半径 15 像素,n_mask=709。绿色表示 6/8/10 阈值均在该 DET_ML 覆盖范围内;橙色表示不在。 / Mask: radius 15 pixels on the 31×31, 4-arcsec grid, n_mask=709. Green marks DET_ML ranges containing thresholds 6/8/10; orange marks ranges that do not.

阈值在覆盖范围内 / thresholds inside coverage 阈值未全部覆盖 / thresholds not all covered

Standalone emldetect 数据集(E099 clean subset) / Standalone emldetect data set (E099 clean subset)

主面板按 E099 的选定 clean-position membership使用背景图稳定的 clean positions:M1 band 4 为 36 个位置,M2 band 1 为 62 个位置,M2 band 4 为 62 个位置(36/62/62);判据:每个注入档的 BG_MAP_EML p10–p90 散布 / 中位数 < 5 %(条纹位置在 ≥ 5 % 处与其余位置清楚分开;4 个只有 0.5–1.7 % 普通梯度的位置保留为 clean)。带对角条纹的背景图位置被排除,并保留在第 4 节的 caveat 中。 / The main panels use the E099 selected clean-position membership: 36 positions for M1 band 4, 62 for M2 band 1, and 62 for M2 band 4 (36/62/62); rule: BG_MAP_EML p10–p90 spread / median < 5 % at every injected level (the streak positions separate cleanly at ≥ 5 %; four positions with ordinary 0.5–1.7 % gradients are kept as clean). Positions with diagonal background-map streaks are excluded and retained as a caveat in section 4.

查看 E099 位置覆盖图与 0.5% 参考线 / View the E099 position-coverage figure and its 0.5% reference line

E093 parameter-space coverage figure / E093 参数空间覆盖图
图:E093 参数空间覆盖;等高线只在可观测量空间估计。 / Figure: E093 parameter-space coverage; contours are estimated only in observable space.
完整 A1 参数表 / Full A1 parameter table
编号 / ID实验 / Experiment来源产物 / Source artifactPSF 模型 / PSF modelPSF 参数 / PSF parameters仪器/能段 / Instrument / band探测器位置 / Detector positionpsfgen 产物路径 / psfgen product path模板族 / Template family真值位置约定 / Truth-position convention拟合器 / FitterS_true 网格计数 / S_true grid counts每 4 角秒像素背景网格 / Background grid per 4-arcsec pixel15 像素掩膜背景计数 / Background counts in 15-pixel mask掩膜像素数 / Mask pixels总行数 / Rows干净行数 / Clean rowsŜ p1 / Ŝ p1Ŝ p99 / Ŝ p99Ŝ 覆盖范围 / Ŝ covered rangeμ₃p p1 / μ₃p p1μ₃p p99 / μ₃p p99μ₃p 覆盖范围 / μ₃p covered rangeDET_ML p1 / DET_ML p1DET_ML p99 / DET_ML p99DET_ML 覆盖范围(ν=3) / DET_ML covered range (ν=3)阈值 6/8/10 是否在内 / Thresholds 6/8/10 inside覆盖定义 / Coverage definition
e088_kingE088results/e088_king_rows.csvanalytic circular Kingr_c=1.3 px; alpha=1.45; grid-derived HPD=17.889 arcsecsynthetic; no energy bandcentered analytic templatenot applicableanalytic Kinguniform subpixel truthcontinuous MLE1.5; 2; 3; 4; 6; 8; 12; 18; 27; 40; 60; 900.01; 0.04; 0.167.09; 28.36; 113.44709108000925192.157881738305529103.44468175251352[2.1579, 103.44]3.201483847622908675.9686191923503[3.2015, 675.97]1.01724075407507334.95055153219613[1.0172, 334.95]6; 8; 10clean rows: S_hat>0.5 and mu_3p>=3; p1-p99
e089_king_inttruthE089 R1results/e088_king_inttruth_rows.csvanalytic circular Kingr_c=1.3 px; alpha=1.45; grid-derived HPD=17.889 arcsecsynthetic; no energy bandcentered analytic templatenot applicableanalytic Kinginteger truthcontinuous MLE (integer result also stored)1.5; 2; 3; 4; 6; 8; 12; 18; 27; 40; 60; 900.01; 0.04; 0.167.09; 28.36; 113.44709108000926452.1605256367937815103.35353853493886[2.1605, 103.35]3.181626345676346679.9787883167292[3.1816, 679.98]1.0093364529217623336.95268730533945[1.0093, 336.95]6; 8; 10clean rows: S_hat>0.5 and mu_3p>=3; p1-p99
e089_king_bandE089 R2results/e088_king_band_rows.csvanalytic circular Kingr_c=1.3 px; alpha=1.45; grid-derived HPD=17.889 arcsecsynthetic; no energy bandcentered analytic templatenot applicableanalytic Kinguniform subpixel truthcontinuous MLE6; 7; 8; 9; 10; 11; 12; 14; 160.01; 0.02; 0.04; 0.08; 0.167.09; 14.18; 28.36; 56.72; 113.447091800001733983.143950650922445524.475981554659686[3.144, 24.476]3.43689646626471190.35613391830407[3.4369, 90.356]1.111578594393626543.141089672744876[1.1116, 43.141]6; 8; 10clean rows: S_hat>0.5 and mu_3p>=3; p1-p99
e089_king_rc0.9E089 R3results/e088_king_rc0.9_rows.csvanalytic circular Kingr_c=0.9 px; alpha=1.3; grid-derived HPD=16 arcsecsynthetic; no energy bandcentered analytic templatenot applicableanalytic Kinguniform subpixel truthcontinuous MLE4; 8; 12; 18; 27; 600.01; 0.04; 0.167.09; 28.36; 113.4470936000343732.76066484722977474.43467150055689[2.7607, 74.435]3.4650621176726273448.12216718476674[3.4651, 448.12]1.1229404411017376221.23211788772056[1.1229, 221.23]6; 8; 10clean rows: S_hat>0.5 and mu_3p>=3; p1-p99
e089_king_rc1.8E089 R3results/e088_king_rc1.8_rows.csvanalytic circular Kingr_c=1.8 px; alpha=1.6; grid-derived HPD=17.889 arcsecsynthetic; no energy bandcentered analytic templatenot applicableanalytic Kinguniform subpixel truthcontinuous MLE4; 8; 12; 18; 27; 600.01; 0.04; 0.167.09; 28.36; 113.4470936000338292.939698831648688574.11744387506201[2.9397, 74.117]3.387695380823734425.02188285615125[3.3877, 425.02]1.0917685841732614209.70831788015147[1.0918, 209.71]6; 8; 10clean rows: S_hat>0.5 and mu_3p>=3; p1-p99
e089_king_rc2.5E089 R3results/e088_king_rc2.5_rows.csvanalytic circular Kingr_c=2.5 px; alpha=1.5; grid-derived HPD=28.844 arcsecsynthetic; no energy bandcentered analytic templatenot applicableanalytic Kinguniform subpixel truthcontinuous MLE4; 8; 12; 18; 27; 600.01; 0.04; 0.167.09; 28.36; 113.4470936000327213.378792737712591775.1508649106676[3.3788, 75.151]3.251885020858665348.29312772184113[3.2519, 348.29]1.037341218737534171.44297410960618[1.0373, 171.44]6; 8; 10clean rows: S_hat>0.5 and mu_3p>=3; p1-p99
e089_king_highmuE089 R4results/e088_king_highmu_rows.csvanalytic circular Kingr_c=1.3 px; alpha=1.45; grid-derived HPD=17.889 arcsecsynthetic; no energy bandcentered analytic templatenot applicableanalytic Kinguniform subpixel truthcontinuous MLE27; 40; 60; 90; 1500.01; 0.04; 0.167.09; 28.36; 113.4470915000015000017.48739372423305171.6815647264843[17.487, 171.68]27.651067433560851320.91207551042[27.651, 1320.9]12.357112473729154657.08803404138[12.357, 657.09]noneclean rows: S_hat>0.5 and mu_3p>=3; p1-p99
e091_PN_b4_subpixelE091results/e091_PN_b4_subpixel_rows.csvXMM psfgen ELLBETA rasterfine raster=psf_PN_b4_x330_y330_s401; shape=401x401 at 1 arcsecPN; band4 (2.0-4.5 keV)x=330, y=330; off-axis=0.1414 arcmin/u/Lang3/program/DET_ML_Uncertainty/results/psf_parametrized_templates_fullband/psf_PN_b4_x330_y330_s401.imgquintic spline of 401x401uniform subpixel truth; splinecontinuous MLE; spline4; 6; 8; 12; 18; 27; 40; 60; 900.01; 0.04; 0.167.09; 28.36; 113.4470921600206662.807781292329227103.96696357719085[2.8078, 103.97]3.444037375899603720.428530972097[3.444, 720.43]1.1144577290016926357.14874854608235[1.1145, 357.15]6; 8; 10clean rows: S_hat>0.5 and mu_3p>=3; p1-p99
e091_M1_b1_subpixelE091results/e091_M1_b1_subpixel_rows.csvXMM psfgen ELLBETA rasterfine raster=psf_M1_b1_x330_y330_s401; shape=401x401 at 1 arcsecM1; band1 (0.2-0.5 keV)x=330, y=330; off-axis=0.1414 arcmin/u/Lang3/program/DET_ML_Uncertainty/results/psf_parametrized_templates_fullband/psf_M1_b1_x330_y330_s401.imgquintic spline of 401x401uniform subpixel truth; splinecontinuous MLE; spline4; 6; 8; 12; 18; 27; 40; 60; 900.01; 0.04; 0.167.09; 28.36; 113.4470921600207132.7615412966422275103.59636086730232[2.7615, 103.6]3.51145818058342725.7807784599609[3.5115, 725.78]1.1416897276562357359.8211815868648[1.1417, 359.82]6; 8; 10clean rows: S_hat>0.5 and mu_3p>=3; p1-p99
e091_PN_b4_integerE091results/e091_PN_b4_integer_rows.csvXMM psfgen ELLBETA rasterfine raster=psf_PN_b4_x330_y330_s401; shape=401x401 at 1 arcsecPN; band4 (2.0-4.5 keV)x=330, y=330; off-axis=0.1414 arcmin/u/Lang3/program/DET_ML_Uncertainty/results/psf_parametrized_templates_fullband/psf_PN_b4_x330_y330_s401.imgquintic spline of 401x401integer truth; splinecontinuous MLE; spline4; 6; 8; 12; 18; 27; 40; 60; 900.01; 0.04; 0.167.09; 28.36; 113.4470913500129222.8294988153177196104.42498500088212[2.8295, 104.42]3.480165511469678723.3591735265614[3.4802, 723.36]1.129039393365237358.6120455916627[1.129, 358.61]6; 8; 10clean rows: S_hat>0.5 and mu_3p>=3; p1-p99
e092_PN_b4_fftfineE092 R1results/e091_PN_b4_fftfine_rows.csvXMM psfgen ELLBETA rasterfine raster=psf_PN_b4_x330_y330_s401; shape=401x401 at 1 arcsecPN; band4 (2.0-4.5 keV)x=330, y=330; off-axis=0.1414 arcmin/u/Lang3/program/DET_ML_Uncertainty/results/psf_parametrized_templates_fullband/psf_PN_b4_x330_y330_s401.imgFFT phase of 401x401uniform subpixel truth; FFT finecontinuous MLE; FFT fine4; 6; 8; 12; 18; 27; 40; 60; 900.01; 0.04; 0.167.09; 28.36; 113.4470921600206962.860192924079339104.0590934848334[2.8602, 104.06]3.491982490755124715.5964212798956[3.492, 715.6]1.133814309331877354.736049299054[1.1338, 354.74]6; 8; 10clean rows: S_hat>0.5 and mu_3p>=3; p1-p99
e092_PN_b4_fftfine_truthsplineE092 R2results/e091_PN_b4_fftfine_truthspline_rows.csvXMM psfgen ELLBETA rasterfine raster=psf_PN_b4_x330_y330_s401; shape=401x401 at 1 arcsecPN; band4 (2.0-4.5 keV)x=330, y=330; off-axis=0.1414 arcmin/u/Lang3/program/DET_ML_Uncertainty/results/psf_parametrized_templates_fullband/psf_PN_b4_x330_y330_s401.imgFFT phase of 401x401uniform subpixel truth; splinecontinuous MLE; FFT fine4; 6; 8; 12; 18; 27; 40; 60; 900.01; 0.04; 0.167.09; 28.36; 113.44709810077552.8630374565613104104.43728759349668[2.863, 104.44]3.4758497384410836713.435788146541[3.4758, 713.44]1.1272961774381687353.6572404745883[1.1273, 353.66]6; 8; 10clean rows: S_hat>0.5 and mu_3p>=3; p1-p99
e092_PN_b4_spline_truthfftE092 R3results/e091_PN_b4_spline_truthfft_rows.csvXMM psfgen ELLBETA rasterfine raster=psf_PN_b4_x330_y330_s401; shape=401x401 at 1 arcsecPN; band4 (2.0-4.5 keV)x=330, y=330; off-axis=0.1414 arcmin/u/Lang3/program/DET_ML_Uncertainty/results/psf_parametrized_templates_fullband/psf_PN_b4_x330_y330_s401.imgquintic spline of 401x401uniform subpixel truth; FFT finecontinuous MLE; spline4; 6; 8; 12; 18; 27; 40; 60; 900.01; 0.04; 0.167.09; 28.36; 113.44709810077752.91617913253328103.70058930808705[2.9162, 103.7]3.5349717209788447710.1342882921975[3.535, 710.13]1.1512075328071867352.00880323153706[1.1512, 352.01]6; 8; 10clean rows: S_hat>0.5 and mu_3p>=3; p1-p99
paper_reference_fitterI044 v2 high-stat residual closureresults/i044_v2_highstat_residual_closure_rows.csv17 real PN band4 psfgen templatestemplates=psf_PN_b4_x143.833_y331.5_s31.img; psf_PN_b4_x143.833_y425.333_s31.img; psf_PN_b4_x237.667_y237.667_s31.img; psf_PN_b4_x237.667_y331.5_s31.img; psf_PN_b4_x237.667_y425.333_s31.img; psf_PN_b4_x237.667_y519.167_s31.img; psf_PN_b4_x330_y330_s31.img; psf_PN_b4_x331.5_y237.667_s31.img; psf_PN_b4_x331.5_y331.5_s31.img; psf_PN_b4_x331.5_y425.333_s31.img; psf_PN_b4_x331.5_y519.167_s31.img; psf_PN_b4_x425.333_y237.667_s31.img; psf_PN_b4_x425.333_y331.5_s31.img; psf_PN_b4_x425.333_y425.333_s31.img; psf_PN_b4_x425.333_y519.167_s31.img; psf_PN_b4_x519.167_y331.5_s31.img; psf_PN_b4_x519.167_y425.333_s31.img; positions from row columns: P0: offaxis=12.51 arcmin, azimuth=180 deg; P1: offaxis=13.99 arcmin, azimuth=153.4 deg; P2: offaxis=8.847 arcmin, azimuth=-135 deg; P3: offaxis=6.256 arcmin, azimuth=180 deg; P4: offaxis=8.847 arcmin, azimuth=135 deg; P5: offaxis=13.99 arcmin, azimuth=116.6 deg; P6: offaxis=0.1414 arcmin, azimuth=-135 deg; P7: offaxis=6.256 arcmin, azimuth=-90 deg; P8: offaxis=0 arcmin, azimuth=0 deg; P9: offaxis=6.256 arcmin, azimuth=90 deg; P10: offaxis=12.51 arcmin, azimuth=90 deg; P11: offaxis=8.847 arcmin, azimuth=-45 deg; P12: offaxis=6.256 arcmin, azimuth=0 deg; P13: offaxis=8.847 arcmin, azimuth=45 deg; P14: offaxis=13.99 arcmin, azimuth=63.44 deg; P15: offaxis=12.51 arcmin, azimuth=0 deg; P16: offaxis=13.99 arcmin, azimuth=26.56 degPN; band4 (2.0-4.5 keV)17 position_id values; off-axis 0-13.988 arcmin/home/huangrui/Data/XMM/M31_data/edetect_stack/edetect_stack_1obs_0800732701/PSF_audit_20260502/psf_PN_b4*_s31.imginteger-shift 31x31integer truthinteger grid3; 5; 7; 10; 15; 20; 30; 500.005; 0.01; 0.02; 0.04; 0.08; 0.163.545; 7.09; 14.18; 28.36; 56.72; 113.447098160007498632.3865094585874461.93826263567379[2.3865, 61.938]3.3041939685251203369.2239851491976[3.3042, 369.22]1.0582594795447973181.87938472925484[1.0583, 181.88]6; 8; 10clean rows: S_fit>0.5, mu_3p>=3, var_3p>0; p1-p99
e073_emldetect_primaryE073 homogeneous_primaryresults/e073_fullgrid_v2_psf_unification/locked_run_20260730a/conditioned_bins.parquetstandalone-emldetect cells; stored injection rastersconfigs=M1_band4; M2_band1; M2_band4; 42 position_id values per configM1_band4; M2_band1; M2_band442 detector positions; fitted subpixel position not persisted in conditioned cellsper-cell template_path in conditioned_bins.parquetstandalone emldetect fit family; stored 31x31 injection raster used only for direct delta0 referencenot used for conditioning or reportingstandalone emldetect continuous positionnot projected; simulation label excluded by E073 lockBG_CONDITION [0.0089043, 0.50736]BG_CONDITION x 709: [6.3131, 359.72] (diagnostic, not input b)709905548190391053.250006736303151359.36348002969686[3.25, 359.36]1.62316480716188123401.3534553159816[1.6232, 3401.4]0.42442037564063171696.8362607863241[0.42442, 1696.8]6; 8; 10retained homogeneous-primary cells; row-weighted p1-p99

四个闭合面板与逐 bin 结果 / Four closure panels and per-bin results

下表直接复制 results/e093_closure_summary.csv 的四行摘要;每个面板的可折叠表直接复制对应 closure CSV 的逐 bin 行。 / The summary below copies the four rows of results/e093_closure_summary.csv; each panel’s collapsible table copies the per-bin rows from its closure CSV.

/ Familysource_artifacts / source_artifactsbin 数 / Bins能段 bin 数 / Band bins能段 χ²/bin(δ₀) / Band χ²/bin (δ₀)能段 χ²/bin(δ₁) / Band χ²/bin (δ₁)能段 max |z|(δ₀) / Band max |z| (δ₀)能段 max |z|(δ₁) / Band max |z| (δ₁)能段解释比例(δ₀) / Band fraction explained (δ₀)能段解释比例(δ₁) / Band fraction explained (δ₁)μ₃p≥25 bin 数 / μ₃p≥25 binsμ₃p≥25 χ²/bin(δ₀) / μ₃p≥25 χ²/bin (δ₀)μ₃p≥25 χ²/bin(δ₁) / μ₃p≥25 χ²/bin (δ₁)首个 |zδ₁|≤2 的 μ / First μ with |zδ₁|≤2能段 shift 中位 SE / Band median SE of shiftSE/|shift| / SE / |shift|
kinge090_king_delta1_rows.csv32317.219718219213571.39016634456009944.59652344365711051.79302055422445130.84925087931137141.034852295535156181.1279250547713931.276048691948341813.5398816898516120.052483936639487990.036640156566280176
psfgen_splinee091_PN_b4_subpixel_rows.csv;e091_M1_b1_subpixel_rows.csv24221.0406726890901940.310912321078150375.2637005437746310.65015362911643530.80052877736546530.9758959987019661161.130955319495150.681082500560806810.101692508313280.06624858022835040.04466378657471385
psfgen_ffte091_PN_b4_fftfine_rows.csv2428.049351563652160.0052505374755405743.22040933185167730.102468591845821360.82878776866347940.9965547707079865161.29683524850559051.36073108891048079.9544834676738550.08408770202785250.06182471902406403
king_densee090_king_band_delta1_rows.csv32773.411908006286312.84023685473754511.285089373174122.39672137639945950.79260663048117610.9623644176313304137.9513327998644591.902336232011169.8141863702963390.0372731247586380950.024792227498964543
King closure panel / King 闭合面板
King 闭合面板 / King closure panel
Dense King grid closure panel / King 密集网格 闭合面板
King 密集网格 闭合面板 / Dense King grid closure panel
psfgen spline closure panel / psfgen 样条 闭合面板
psfgen 样条 闭合面板 / psfgen spline closure panel
psfgen FFT closure panel / psfgen FFT 闭合面板
psfgen FFT 闭合面板 / psfgen FFT closure panel

King / King

来源产物 / Source artifacts: e090_king_delta1_rows.csv

bin 数 / Bins32
能段 bin 数 / Band bins3
能段 χ²/bin(δ₀) / Band χ²/bin (δ₀)17.21971821921357
能段 χ²/bin(δ₁) / Band χ²/bin (δ₁)1.3901663445600994
能段 max |z|(δ₀) / Band max |z| (δ₀)4.5965234436571105
能段 max |z|(δ₁) / Band max |z| (δ₁)1.7930205542244513
能段解释比例(δ₀) / Band fraction explained (δ₀)0.8492508793113714
能段解释比例(δ₁) / Band fraction explained (δ₁)1.034852295535156
μ₃p≥25 bin 数 / μ₃p≥25 bins18
μ₃p≥25 χ²/bin(δ₀) / μ₃p≥25 χ²/bin (δ₀)1.127925054771393
μ₃p≥25 χ²/bin(δ₁) / μ₃p≥25 χ²/bin (δ₁)1.2760486919483418
首个 |zδ₁|≤2 的 μ / First μ with |zδ₁|≤213.539881689851612
能段 shift 中位 SE / Band median SE of shift0.05248393663948799
SE/|shift| / SE / |shift|0.036640156566280176
展开逐 bin 表 / Expand per-bin table
bin / Bin样本数 N / Sample count Nμ₃p 下界 / μ₃p lowμ₃p 上界 / μ₃p highμ₃p 均值 / μ₃p meanDET_ML(ν=3) / DET_ML (ν=3)Ŝ 均值 / Mean Ŝ经验 shift / Empirical shiftshift 的 SE / SE of shiftδ₀ / δ₀δ₁ / δ₁z(δ₀) / z (δ₀)z(δ₁) / z (δ₁)F 经验值 / Empirical FF 的 SE / SE of FF(δ₀) / F (δ₀)F(δ₁) / F (δ₁)G 经验值 / Empirical G√V₃p / √V₃p
028923.0002301832252673.610313176850253.30750476863558341.05958538525310364.1082424160235791.14291318211377720.0119343934762455180.82633355562473331.870451348763318826.526662382899563-60.9614697301249251.24722221150019520.013023596942706930.90174965239004552.04115982230037130.70037412261379170.9163669244945919
128913.610313176850254.2241490448219273.9120338602272761.30519045754220334.4113376345381551.3228308358760450.0165556283149715550.87238380182406271.785617464456228627.20809053466336-27.953431894921031.25804094611915060.015744763233592670.82965600261272221.698161112871040.84656474814035841.0515006208317468
228914.2241490448219274.8692322955309764.5406178080754951.5668777814163474.746533203728791.31907569178829180.0172405404841687350.89921436005582171.712580198299285224.353142067559375-22.8243718271090221.12050763033019840.014645222623531050.76385044316831221.45477563698046030.78744462636927271.1772125919388678
328914.8692322955309765.6095807182585235.2366777907786981.8626254807575395.2295724343445751.3509186863315250.0183758281383835760.91543932504597131.633778854434190223.69848901535605-15.3930568991241631.04635933727726620.0142330693529849960.70905709956075051.26544978367694470.76528396097859791.2910657344987748
428915.6095807182585236.3959783311579455.9903114094576862.1885196371902055.608359058933921.31794192770855980.020137036561008410.95040012194279511.59103483593499818.25203051363776-13.5617228185020680.92451698788743150.0141258366510359740.66669178630206031.11608766912821890.75951827089034061.4255464691028819
528926.3959783311579457.3329093028812046.8578920651709782.5695780783954955.9898800939334831.35913003837581870.0234798279711598560.98311629978205671.559920795844075316.014331069870597-8.551628134366520.86045714942505820.0148649395382345580.62240508632616080.98757658459588220.79939659009703511.5795441287041017
628917.3329093028812048.3635326282320337.8360522780885943.00529062321347776.40503676471474751.39542526322958580.025711895692636591.0203923208524681.537635907088456914.58597012294665-5.5309280015318960.800277063306520.0147457846143074640.5851954894828250.88183493633435140.79285164552421891.7436776926531927
728918.3635326282320339.553415208224358.9438662652459643.5050057557332956.9147036064858311.38021074684784420.028060777584571361.05147355291280721.514364384049374311.715184760802437-4.780823938225140.72205055351712720.0146798596035670280.55007328599869940.79223237771964470.78930698821272921.9115153919968642
828919.5534152082243510.9512741122280610.2409735887001844.0968468257931957.3660443044993171.41920374862635530.033118220388427421.08577820012492831.505662592497725810.06773747474477-2.6106126131578620.67049258230722190.0156464645271329580.51296808504014070.71133943995308220.84127942130235012.11665838828933
9289110.9512741122280612.58405490972611.7573206220750764.796035073864587.9865056576063511.41158570438132850.036917429687945581.11691875439545291.49168974210209147.981784010334051-2.16981621954355040.60734311871131220.0158839430095457060.4805609163766630.64180835588372990.8540481691501152.324198070073625
10289212.58405490972614.5945217661919113.5398816898516125.62590197634225758.5769350237129791.4531891741801520.0398891939984258941.15491043456530561.49139627215635947.477682793656271-0.95783078439025860.56548346009159720.0155221906708881780.44941344199204480.58035109215734930.83474179368358912.569817292171134
11289114.5945217661919116.89739122105732615.7073734257779736.6439453256336759.2774656631100781.41138530010062620.047053007105182491.19510504984709031.49575230897828764.5965234436571105-1.79302055422445130.49456410165070870.016487863510608960.4187772504883760.52412717982047790.88651977887166392.8537964955196697
12289116.89739122105732619.74962139410869718.269977801094777.85733269287866110.270460466109631.43241573066281050.052483936639487991.21556431252044631.4814111181676744.13176739450617-0.93353110764942440.45665232220847910.0167318125820740960.387520364530877240.47227198974120530.89963643748253053.136775312419978
13289119.74962139410869723.2199807996716621.4155446809170769.35771274345027511.1836634387428531.47796142857849390.059521920366743151.25959120640347361.4952223746616963.6687361702972026-0.28999309795196580.42234980632105470.0170092879642535850.35994721633559670.427282382431765640.91455573944629383.499377545481819
14289123.2199807996716627.6805201283608125.38944972344627611.2660633938727212.5568467917742141.41623638600764170.067805169630968111.28643937695743051.49208867550766971.9142642036976787-1.11868003447018260.36372389386843470.0174140140489600320.3303888701318220.38320460370498950.93631705975845483.893712813159092
15289127.6805201283608132.856919601399830.12739694671863713.55509400827935814.0175232487122821.38783311015497060.075705160967540511.31921337069188961.49867232112211220.9064076819346901-1.4640905527519490.31986332335778910.0174482826538919470.30404806592373360.3454091891530980.9381596148018624.338831647173827
16289232.856919601399839.176633227888235.86998845032868416.34403872684241316.066900247661941.49115915731347610.08407764086351781.34329318088720661.49686276971858061.7586836988718386-0.067837445800400410.3107344450124410.0175204765658614970.279921468479594370.311922989391874850.94220425098937854.7988215701473775
17289139.176633227888246.71937114115891642.8982420702325219.772951288083617.8028666013744931.5032180413674360.097433862335222641.3813477299767921.51617422703052471.2508003733994193-0.132974156546444820.27850933347537170.0180520984382471150.255929762008169140.2809097960390910.97062559411333165.3973704313947675
18289146.71937114115891655.95268341134879451.2350453048131423.85612598229951320.4086213362759281.18356179054645860.110034126927048031.40256356709023831.5188141040980616-1.9903077586917792-3.046803050237980.197688432966261370.0183788242394810380.234267949445733040.253685090718899940.98819299360545.987005778676246
19289155.95268341134879467.0523874753566161.28006703515560428.79216092095897422.987945487701561.44006299550474060.120752012475125241.43733972813832241.53818623638861980.022552562980920395-0.81260128814906930.21540166356932220.0180618378832580020.214994322832908870.230078736299597330.97114926478975556.685477594007943
20289167.0523874753566180.2999337346491973.5140498855982834.82074245350156626.258457691829071.31671524013952480.1361364785790591.4632389221441751.5498347038501445-1.0762999273523817-1.71239528261515520.17700693467719760.0183009203785579120.19670421395112120.208345344400955730.98400425723489467.4387777097026175
21289280.2999337346491995.9351820103748787.8622801309848641.9078529011520429.6497000443865131.47066080878927070.1512987414660281.49518183743712041.5703739693878387-0.1620702750746642-0.65904818263777240.177452323954557930.0182559521026806480.180411071133589260.189483876010151820.98175615328408798.287639045887493
22289195.93518201037487114.47459664729695104.9538707506091850.36657084806691433.623726189299551.58388990322368350.17070578289586111.52524436994299471.59046185803627750.34354743164421925-0.0384987239512746760.171938582898607170.0185309031542999840.165572338713899650.172651999023712370.99636997577471419.211951596447141
232891114.47459664729695136.5677719761639125.2865017795728960.4458524064021538.0343509964314141.53529451560963980.19267939468523651.54752819912609561.604445029286409-0.06349243278681105-0.358888991683487040.15006564352095880.0188332317107166480.151261411219509920.156824683059759381.012625583713767910.23081952395862
242891136.5677719761639161.48072506452033148.5501342481071871.993732181144443.601589745086581.37326294421980990.205720957468616771.5674877826696311.616582069889068-0.9441179004791019-1.182762945804280.122033813042430270.018281213345414890.139293433804313920.143656154791729720.98294464907808711.2531347663646
252891161.48072506452033195.0765289710333177.2331682948007586.2480471089965248.2683916057477661.76526107459953250.231728393448654041.60911702763051131.65248220166305380.67382354248970920.48668560316700270.140425275271957530.0184338305005325480.128004126302433850.131453795356127560.991150571362673712.570821536086028
262892195.0765289710333233.57930965539913214.36343540927317104.71903985931655.096653391488131.45365361072062080.25798129050417121.63542603589702231.6729197944187588-0.7045953790725087-0.84993056383905790.103510528267101170.0183701120171795020.116454024307450210.11912384793164920.987895367381893214.043533880626873
272891233.57930965539913271.48746558804896252.07200548667788123.4929929254734364.531659093064481.7401524364050410.288000901473848941.6377487541103211.66965556025738240.355567228333895760.244780053766810170.114229737039746970.018905393892118990.107507598532965650.109602073706351361.016505601343616415.233795345248355
282891271.48746558804896329.8888257652508297.1737605140132145.9621648875735871.279520375805021.46190026675737950.319735283344197431.66537072215624461.6938272723796624-0.6363716048811154-0.7253719489338050.086842789169754630.0189935691462597730.098929757249780410.100620191438586071.021246610192491516.83387050017189
292891329.8888257652508410.10001482610585370.0429872407715182.2877838638581872.098680849807312.29022404788606250.36361842042347421.762564779864081.78891888570782691.451134591606951.37865722422535650.11611391748492210.0184353837800368230.089361694372160970.090697842455207370.991234088126490319.723940915036806
302891410.10001482610585532.0560587450974460.7603299578804227.5373540193699684.046303107583272.24724522020657160.41205178779202461.78334009949841451.80547390950630221.12584178603856571.07212569824656410.100835511937167790.0184890605586935960.0800197549755930.081012914975755410.994120182247461622.28624794017871
312892532.05605874509741010.869476794882645.3910754955338319.6848550116230393.081829928011842.0664461255217180.51065197379036921.87262623542238621.89183079610721450.37955378623269150.34194586210722410.075456535758238370.018646519957349370.068379178508362980.069080435416122981.002759845254756827.385913026044303

King 密集网格 / Dense King grid

来源产物 / Source artifacts: e090_king_band_delta1_rows.csv

bin 数 / Bins32
能段 bin 数 / Band bins7
能段 χ²/bin(δ₀) / Band χ²/bin (δ₀)73.41190800628631
能段 χ²/bin(δ₁) / Band χ²/bin (δ₁)2.840236854737545
能段 max |z|(δ₀) / Band max |z| (δ₀)11.28508937317412
能段 max |z|(δ₁) / Band max |z| (δ₁)2.3967213763994595
能段解释比例(δ₀) / Band fraction explained (δ₀)0.7926066304811761
能段解释比例(δ₁) / Band fraction explained (δ₁)0.9623644176313304
μ₃p≥25 bin 数 / μ₃p≥25 bins13
μ₃p≥25 χ²/bin(δ₀) / μ₃p≥25 χ²/bin (δ₀)7.951332799864459
μ₃p≥25 χ²/bin(δ₁) / μ₃p≥25 χ²/bin (δ₁)1.90233623201116
首个 |zδ₁|≤2 的 μ / First μ with |zδ₁|≤29.814186370296339
能段 shift 中位 SE / Band median SE of shift0.037273124758638095
SE/|shift| / SE / |shift|0.024792227498964543
展开逐 bin 表 / Expand per-bin table
bin / Bin样本数 N / Sample count Nμ₃p 下界 / μ₃p lowμ₃p 上界 / μ₃p highμ₃p 均值 / μ₃p meanDET_ML(ν=3) / DET_ML (ν=3)Ŝ 均值 / Mean Ŝ经验 shift / Empirical shiftshift 的 SE / SE of shiftδ₀ / δ₀δ₁ / δ₁z(δ₀) / z (δ₀)z(δ₁) / z (δ₁)F 经验值 / Empirical FF 的 SE / SE of FF(δ₀) / F (δ₀)F(δ₁) / F (δ₁)G 经验值 / Empirical G√V₃p / √V₃p
054193.00005392213363384.2713730145458443.65289003831801741.1990933505648614.7312961368435711.1272793016388630.0090858780646128470.77076558891955561.700353250986034439.238223337801145-63.073039861622931.24912818758646950.0100679808304662950.85407850719993241.88414634383252590.74114290507046540.9024528569937729
154194.2713730145458445.3724929453074154.824515125844391.68681948681752755.4865811791869641.20328206174901140.0115339764647443050.82916057951131441.558199790339891232.43647005707592-30.771497555569871.07622972441441430.0103161251269806890.74161104062805671.39367234354225360.75940976392649541.1180531762433223
254185.3724929453074156.4069624232138765.8931716216883362.1462232271939926.05501775053292151.2870342492482440.013497717874488990.87803071388111561.49417758305729430.301680563360634-15.346544929684440.98417274682482670.010321470531309960.67141484384093211.14257165807398890.75973315103771551.3077320555771534
354196.4069624232138767.3924415687155416.90069483539887152.5885189525810566.6362110709695871.31055914076373630.0154041785371872780.91551586047496621.450701974312051725.64520265297463-9.0977154808999520.89465703994633130.0105157076428108020.62497958640701410.99032595616094910.77410180278457421.4648732220811163
454197.3924415687155418.3709247992340557.8829199981678533.02630706996042957.1292617826595591.36340666540971370.0175926826827839670.94204044650607341.422314074816609923.951220317068824-3.3484040193905410.84421127206222170.0108932583384114180.58330444162818260.8806863020668180.80189476584843581.6150064687944907
554188.3709247992340559.314818118865628.8362288008531083.45619904484558137.5357200156679491.36558319041547180.0192354261958268930.97398237844122061.411912869645186420.358312209334287-2.408560057783680.7741713023589970.0109048756999732870.5521664382549580.80043635040504860.80267589313785951.7639289731540921
654199.3148181188656210.3090633753418759.8141863702963393.9014053022340157.9413150321781271.37116427017770110.0206299742433304241.00021488069674011.403008324753167717.981088347741746-1.543581887202870.71878141989596990.0108144899203919470.52432512120163980.73547447065642490.79609631875742641.907623419615036
7541910.30906337534187511.29444689926763210.7940189247148374.3510345927372038.2917352322340161.40314397963648620.0233979307844196171.02801480066532051.40364644552824816.032579223670474-0.0214748003313363150.6826735517282980.011383827136421740.50016144129504680.68291801714305920.83800742738570012.055365959446065
8541811.29444689926763212.28413026262447311.7909150946453254.8116017727456368.5934784095177611.44354239224011070.0251620491609131531.05657804632333961.407778440297969815.3788883982423561.42134496731278850.65567737683252550.0114289587048125780.479912696403092360.63943288389581440.84125210487668572.2016046965256564
9541912.28413026262447313.31039452733582912.7933777459600335.277451123934898.9280808311326271.4334359221077710.027119151044688961.08144752649144231.41305334335346412.9793294427357290.75159354069451190.61068121554777420.0115534680477675480.460724947549678350.60199770359045170.85049534924120982.3472736439453032
10541913.31039452733582914.39330479379499313.8473070839536325.769750416283189.352560743586371.4445294068634510.0289146986976204331.09870109257935061.409062760883667211.960294585831561.22659573079703740.5835491867054810.011680723721275840.44384429002331120.56922166085634430.85986313024306022.4754201355652126
11541814.39330479379499315.49170786254425514.9430772641406326.2839875665659049.618599777166951.48748572670923270.031816960354953921.128428485520841.421723997697816211.285089373174122.06687654250345080.56578858511559940.012102081155248210.429215517677216940.54077507746034370.89079867275694962.629048669133748
12541915.49170786254425516.64845325169447316.0639806340980346.81222451945983910.026987071376371.4189630336344640.033265797366429961.14454707165823421.42170005385475028.249192374782982-0.082277306932920650.51340719848648220.0120361837669391070.414118403134761450.51439750327257570.88602991535275652.763816007678795
13541916.64845325169447317.8066176017134217.2287727161112277.36321722137615810.2293813733985281.52149145191911980.03523056950104391.17103821822547531.4370535928932419.9474189221738382.39672137639945950.51956169927231710.012030599667980830.39988828448994630.49072770387716320.88561884828838412.928413418560445
14541817.8066176017134219.0109033560242218.4028716800776067.92049813038362410.6165243522943241.50341976170534970.0372731247586380951.18563011014553271.43836035515476868.5259728991776831.74547765908742550.49086412340268620.0121696150184792020.38710631556170680.469622332268235960.89576964220927613.0628022909549686
15541919.0109033560242220.2956098038167619.6433832980813648.5111221610915710.7759033529054381.51158381615957560.039671850755842431.21676766967466521.45987282110831127.4313686119494471.30346817872239030.466998548982330340.0122564799519301990.37591612857456860.451022617381840350.90224676729849833.236806237307536
16541920.2956098038167621.6764240369483620.9843623209309989.151445744426511.0919757756671211.51089083105449350.042133115248227591.23810080523048321.46980411507409466.47448032781022050.97516444578892880.44481347399287130.012404190281984830.364502788029745840.432717348651079140.91312029447033523.3966840471174833
17541821.6764240369483623.11130077371010222.3787958321265149.81911759744280511.3188403389047961.57427819200561080.0445627153738621.2601396617312841.48336622043748827.049357913646862.04009048383632540.440819554664510.0124781734546680080.35285644387398790.415362951743982740.91848172304057623.5712530792871258
18541923.11130077371010224.6414181084551823.8684224882796610.53419081854740111.6874291413485821.53615629288851640.046810599754843911.27950752204033671.49209498205125235.4827063142172610.94126781258991750.411227009736493230.0125311356990634670.34252247291492460.39943185504776830.92246523629961813.735543280274458
19541924.6414181084551826.29663590545936825.45009184341360311.2952759537698511.9859763367100861.57287226829107450.049420063434353071.30022961107847011.5042260835686545.5168415065830111.38903473512546840.401499604019483260.012615223943816480.33190341295139670.38397661977013570.92865529635713573.9174939465562932
20541826.29663590545936828.07619060875961727.1664884362551512.12307935009012612.4372012050928531.49513494809094570.052283774471370131.31615072837531.51044160605289563.4233224652450254-0.29276115040874810.36536158409515890.0127764270962462020.321623754191013970.36910202558996940.94043529818641494.092206223031746
21541928.07619060875961729.98497231740139329.01884621988956813.01840828240897212.62874418133431.59556226811215080.054094486675793811.34541523911681681.53289144233022024.6242610729361041.15854368223397050.369847721708168540.0125389795521342590.31186420667089230.35532076616638240.92304265258096814.314105980544995
22541929.98497231740139332.0574502041093131.00672879243333613.9812352224638312.8773155476251091.51903603958160380.057250362874254981.36970825879512331.54991573953616182.6083289832496774-0.53937998650562820.33493511439086170.012623240225089360.302009551049237930.34174383753312770.92924540574356464.535314376768878
23541832.0574502041093134.34564830460707433.17554331156533515.03377178174853213.240173213994451.55652561055061220.0617176516874742151.3908306338894321.5631236441664912.6847258787522605-0.106906750912850140.327209168056821650.012974140178737830.29237715816440470.328596191229218350.95498837787666724.756974322554169
24541934.34564830460707436.96441605266359435.6355434829309616.22992532581686513.6175169094918941.44085110772430470.065299849175981991.4170626874490211.58152822399734780.3642951794754413-2.15432528632525160.2877081997267010.0130390308534514280.28295814364175710.31579851360346650.95985335776437375.008029347418649
25541936.96441605266359439.9069846989674838.3846313793642817.5691756475129114.0767951045314351.62796425988300550.068794389613982461.44092984703081071.59717861536671272.71874514624925250.44750225547514210.30878641031764010.0130486725921252160.2733103950428040.302947099901707430.96056312334010845.272137003077186
26541839.9069846989674843.44184957581488541.63520115363634519.15571177928224614.5495398914101561.59607927113502710.073950710997881521.46746241118787781.61593901209302261.7392241157875257-0.268553752763302070.285852176935227960.0132443119254469620.262817350237478260.28940898660557450.9748749271649735.583582704345425
27541943.44184957581488547.6756472226249445.49625869088822621.04380852840268514.9341284279605021.70325094457924360.077474799207358141.50397601383877791.64493582639879882.57212581096356940.75269789372886080.285898544498017050.013004503182078990.252449326204633840.276110082343875960.95731164268791575.957536256680933
28541947.6756472226249453.0160777404190150.2133043284891623.35495191548268315.5743206530414561.59140324911243810.083625390068953091.52932239471904621.66204188111694060.7423684881135185-0.8447031690525760.249775320193948020.0131252456550318250.240031551420903520.260862256793346960.96619996187291676.371339041330143
29541853.0160777404190160.3129481313567856.4665180974908426.42496498528083416.4837186242321641.63911808281663740.09200545784667281.56259238727320351.68532014287589660.8317516953283801-0.50216651425456720.238044942323810680.0133617181923537250.22693131056482040.24475474977291680.98351685787029956.885750509191486
30541960.3129481313567872.4178825029732365.7185067431633530.97747103228534417.7574966154324621.52973533670857420.102134147577574431.5999346420079051.7114372466288499-0.6873245331196604-1.77905151440429640.201138904679402430.0134292188205046240.210369136235367520.225030176759287850.98857659912675837.605367739010196
31541972.41788250297323184.4647086914901387.683289365575341.8193546685090220.732254790567091.34380345443975260.123324722199156871.66862708122112861.7612879910662602-2.633888980157757-3.38524611433798840.147147396955714220.0135041413920595830.18271580615475220.192862239130654730.9940919386245819.132363074313753

psfgen 样条 / psfgen spline

来源产物 / Source artifacts: e091_PN_b4_subpixel_rows.csv;e091_M1_b1_subpixel_rows.csv

bin 数 / Bins24
能段 bin 数 / Band bins2
能段 χ²/bin(δ₀) / Band χ²/bin (δ₀)21.040672689090194
能段 χ²/bin(δ₁) / Band χ²/bin (δ₁)0.31091232107815037
能段 max |z|(δ₀) / Band max |z| (δ₀)5.263700543774631
能段 max |z|(δ₁) / Band max |z| (δ₁)0.6501536291164353
能段解释比例(δ₀) / Band fraction explained (δ₀)0.8005287773654653
能段解释比例(δ₁) / Band fraction explained (δ₁)0.9758959987019661
μ₃p≥25 bin 数 / μ₃p≥25 bins16
μ₃p≥25 χ²/bin(δ₀) / μ₃p≥25 χ²/bin (δ₀)1.13095531949515
μ₃p≥25 χ²/bin(δ₁) / μ₃p≥25 χ²/bin (δ₁)0.6810825005608068
首个 |zδ₁|≤2 的 μ / First μ with |zδ₁|≤210.10169250831328
能段 shift 中位 SE / Band median SE of shift0.0662485802283504
SE/|shift| / SE / |shift|0.04466378657471385
展开逐 bin 表 / Expand per-bin table
bin / Bin样本数 N / Sample count Nμ₃p 下界 / μ₃p lowμ₃p 上界 / μ₃p highμ₃p 均值 / μ₃p meanDET_ML(ν=3) / DET_ML (ν=3)Ŝ 均值 / Mean Ŝ经验 shift / Empirical shiftshift 的 SE / SE of shiftδ₀ / δ₀δ₁ / δ₁z(δ₀) / z (δ₀)z(δ₁) / z (δ₁)F 经验值 / Empirical FF 的 SE / SE of FF(δ₀) / F (δ₀)F(δ₁) / F (δ₁)G 经验值 / Empirical G√V₃p / √V₃p
017253.00068758871330044.9222546773257513.9750126644749421.33114358188221974.5234279498190391.17307496818018060.0184969596473601030.806057005555631.634283065995408619.842069703435378-24.934265231045791.16216473208335750.0183249278486258970.79856023640049831.6190833434007730.76109141476823931.0093878568120587
117244.9222546773257516.8598533824268955.8796039226103732.14032204242396465.6027406108722751.25233861368769530.0253776146651289720.8889966769321381.48600922810980414.317418778322786-9.2077453892147060.92777696144390020.0188006390327425040.65860033911204441.1008884588119250.78062281822917861.3498272383684538
217246.8598533824268958.9744459082699887.9039374585562633.03573556906761166.4626798919613991.36421905232962340.032469908966355130.96625344264981251.436353397592705412.25644365348167-2.2215752233191250.80667895827905110.019199843526350530.57135715794267110.84933285494879550.79719821953906661.6911548743505278
317248.97444590826998811.27348116100708710.101692508313284.0329936466039097.310437058177051.37353022192748940.039824958806667541.03684492246708151.42492986864413168.454128002865371-1.29063904287169850.67492897702190480.0195692954390213650.50948764845452870.70018587375699680.81253826158588182.0350737169237165
4172411.27348116100708714.11183252126049812.6737189108865375.2217148939865558.242548518910681.47127710041346620.048817560425092071.09281899606174181.41690075943344537.752499327213371.11386846262951720.61617153135150180.0204448169250511760.457673101895042070.59339869455445320.84889085835956152.3877719523756444
5172414.11183252126049817.30829932877469415.6917045416452636.6365560101275769.033314186369891.4832809092882870.06071461710744681.16369734620475081.44380708063546575.2637005437746310.65015362911643530.52788495378696560.0216077296250892680.41414833560964810.51383660995424720.89717624842940182.8098563875470544
6172417.30829932877469421.09264720183906819.153328854487198.277591042273310.1179238350558511.48326596001594460.0717825433492541.21110879207671451.4512341390803783.7914116056749950.44623413215825330.460526052589237730.022287123297222050.37602639466304050.45058077746639790.92538540675129323.2208079253638466
7172421.09264720183906825.77747841273710323.35348997963938810.28680576461686511.3142609055115871.4131738724802140.079337056434271321.26413518565550791.47041265375610421.8785507494619604-0.72146338480947980.384213443632059840.0215701438116343570.343692833808711850.39977551259722880.89561564490026063.678095849851452
8172425.77747841273710331.1132458469091628.4120826936205712.72492330936550412.925502404179651.59710349230967830.094335387016341491.29960052886803861.47701900380297583.15367300491494261.27295273072765960.383053538873873830.0226256495033945040.311699638816351430.35425215655404090.93944138009595164.169400175769029
9172431.1132458469091637.7747943875608734.29632682522901615.57845792076087614.3330251394854411.33821145105166540.110037339044050661.34575505213819781.5006633795695457-0.06855492101197135-1.47633457814575770.282829499315589040.0232562690174192980.284423831001111350.3171635334246650.96562538274666034.731512993835384
10172437.7747943875608746.0663038753087641.63178891219419619.15404479840101716.4354128610095641.44868345211586110.124232829434868131.37965840656692951.51114094585178880.555610347626507-0.50274548217282970.272416870553435050.0233612930176127840.259437094418914550.28416165507575560.96998609255391535.317891836774842
11172446.0663038753087656.82909820698533651.35849450816214623.91669167794643518.9690307719177051.61251591101550850.141610886271532621.4165566915535341.52841015006839531.3837864066907360.59392157736972360.2667044707222540.023421943444746060.23429350376513520.252793673126485930.97250436372933276.046077542864973
12172556.82909820698533669.2249959959429962.79656074305993529.5385611685306322.29865428325081.41978264824667220.159123280956321581.42740768059493981.5206495516640712-0.04791902418327234-0.63389155132545560.210274789223228060.0235667159370620550.211404083254136430.225213531348218640.97879922486705686.75203458051944
13172469.2249959959429984.1163404681500976.4672733354960536.2781664785045825.5590168781978521.48959542463765350.18324643896159231.47020557130554461.55038869690999310.105812988465074-0.331756909530349360.195188662011948230.024011638762966710.19264791875649490.20315468908070920.99698914961369897.631567373244609
14172484.11634046815009102.6273003975445293.0637662009520744.4804547374889329.0317322327805021.32781786234402870.209598196557483461.50969911740191681.5787974755996328-0.8677615458776439-1.19743212192558920.153978036260571160.024305681995198720.17506957244233520.183082440626930551.00919814188393048.623423798554056
151724102.62730039754452125.42784643193292113.7699685430098854.7350097196405133.3569840298180651.47445409484204930.232831374202223861.54031424917988581.599192724703051-0.28286632144615625-0.53574665479859710.1518860012358060.0239843522518086470.158670366729543960.164735537722223680.99585618422870569.707636535594418
161724125.42784643193292152.1432817475073138.4897368088299566.9981175239358638.702552603003311.77770035344341680.263404950906654561.5635960396036481.61350294856705640.8128332937661570.62336491516649070.163911169601689720.0242870028676965350.144169885065031840.148771504119419751.00842256435555910.845510759048912
171724152.1432817475073183.9133158980439167.25493080087581.2875709849700244.866514620944451.75289098644934630.2758707723588581.5864622461711611.62921499540203540.60328514998207760.44831132341352480.144924759452235180.0228083238678717170.131164836366766370.134699529594185320.947026216811771712.095179547474567
181724183.9133158980439226.46940769827535204.450199902638699.7858733141924150.170653166118731.81030264717598290.331701029175950571.62544271503645191.66316024658841920.55730888926929490.443599469537708570.132011377584749370.0241883918559721540.118530971786287060.121281419788469891.004328128749053513.713231997854088
191724226.46940769827535271.861660881489249.5363310956122.2301710232113459.6664874833232662.0882341923382360.36178803254809091.64564733564996681.6768718161476631.2233319426602041.13702593558257710.137098900744365620.023752480323708870.108041732846964580.11009171458189380.9862286115878915.23158961158962
201724271.861660881489326.25804427079595296.950126681833145.8507218719401270.093359357844891.39344096279174430.39405357879185751.6501942858498551.6767641468876673-0.6515695755011276-0.71899660184428040.083396671475057970.023583888899200450.098763215953775770.100353407451856140.97922851373484216.708592059438374
211724326.25804427079595415.8972115623418368.7563780466367181.6462114020730271.424101610992312.1388900097767780.48326994209341791.733937632193361.75876187413725860.83794240508576720.78657516747863290.109592954136249280.0247619000309413740.088843908069828930.090115858472322411.02814080697995119.51667446720749
221724415.8972115623418538.9507889422342469.1420785416631231.719253015795381.995527439017862.3373787557066970.53708887276710641.77469309973120431.7956857246961811.04765837556177721.00857243275156440.10381255369366510.0238543142852975580.078821381539390170.079753749903322150.99045686755027322.51537672990824
231725538.9507889422342964.39718633024664.2052643864016329.077625755131592.653206698005531.76570902854752520.65233486320039161.85511585614636341.8730019720378823-0.13705664474255339-0.164475255797263210.06353000906955370.0234709338319450570.066746856509534570.06739039691536350.974821095267029927.793306728705137

psfgen FFT / psfgen FFT

来源产物 / Source artifacts: e091_PN_b4_fftfine_rows.csv

bin 数 / Bins24
能段 bin 数 / Band bins2
能段 χ²/bin(δ₀) / Band χ²/bin (δ₀)8.04935156365216
能段 χ²/bin(δ₁) / Band χ²/bin (δ₁)0.005250537475540574
能段 max |z|(δ₀) / Band max |z| (δ₀)3.2204093318516773
能段 max |z|(δ₁) / Band max |z| (δ₁)0.10246859184582136
能段解释比例(δ₀) / Band fraction explained (δ₀)0.8287877686634794
能段解释比例(δ₁) / Band fraction explained (δ₁)0.9965547707079865
μ₃p≥25 bin 数 / μ₃p≥25 bins16
μ₃p≥25 χ²/bin(δ₀) / μ₃p≥25 χ²/bin (δ₀)1.2968352485055905
μ₃p≥25 χ²/bin(δ₁) / μ₃p≥25 χ²/bin (δ₁)1.3607310889104807
首个 |zδ₁|≤2 的 μ / First μ with |zδ₁|≤29.954483467673855
能段 shift 中位 SE / Band median SE of shift0.0840877020278525
SE/|shift| / SE / |shift|0.06182471902406403
展开逐 bin 表 / Expand per-bin table
bin / Bin样本数 N / Sample count Nμ₃p 下界 / μ₃p lowμ₃p 上界 / μ₃p highμ₃p 均值 / μ₃p meanDET_ML(ν=3) / DET_ML (ν=3)Ŝ 均值 / Mean Ŝ经验 shift / Empirical shiftshift 的 SE / SE of shiftδ₀ / δ₀δ₁ / δ₁z(δ₀) / z (δ₀)z(δ₁) / z (δ₁)F 经验值 / Empirical FF 的 SE / SE of FF(δ₀) / F (δ₀)F(δ₁) / F (δ₁)G 经验值 / Empirical G√V₃p / √V₃p
08633.0028649884084584.9079432883497363.9739034722395661.33068594377736644.647035950715291.0583967686280620.0244501601854457370.72535893405299021.484025936771302213.621090088944149-17.4080318867031921.1283905262481510.026067095002821240.7733282768576571.58216734725098470.76576944333638130.9379702718235191
18624.9079432883497366.8234549224957485.8525025106579822.1285392360452835.7002198703584981.10511649643159760.031993991187744070.81495334821962781.35309442848672379.069301373162924-7.7507657797355070.87908373171678460.025450164988625550.648268515438221.07634199959924630.74721268326454531.25712313464542
28626.8234549224957488.859114725519987.83803930371969853.0061814051877976.4669797240649421.22374508355102260.045846453055039720.90723267962258571.33219777193325346.903748989010263-2.3655633349003210.76656714005295010.0287187134578656130.5683003510525350.83450307563438540.84317673195234851.5963964793305558
38638.8591147255199811.127745291220989.9544834676738553.96558035619953187.4522938283947531.3015946387673210.052188850848576020.96168077899795431.30657067403675956.513150878826856-0.095346710811402060.69177865333759160.027737616523571360.51111937190053040.69442334383886210.814844122923341.8815189403251737
486211.1277452912209813.88661620123118312.4826782706807915.13280029221313158.258909328838051.32273693434849910.067217138217258181.03248685581035821.32441485999961024.318096340251786-0.0249627653841444120.59053293564057330.0300089404975649940.46095143950320430.59128204178164080.88105758690103432.239903745442541
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3b. draft 风格视图:理论匹配 fitter 在稿件 17 个 PN band-4 位置上(E096) / Draft-style view: the theory-matched fitter at the manuscript's 17 PN band-4 positions (E096)

与稿件图 "deltac-scatter-variance" 和上面 4b 的 emldetect 图同一格式,但点来自我们自己的理论匹配 fitter:FFT 相位连续模板族,psfgen PN band-4 模板,稿件的 17 个位置,S_true ∈ {3, 5, 7, 10, 15, 20, 30, 50},b ∈ {0.01, 0.04, 0.16},每格 300 行(共 122,400 行)。左列:ΔC 对 Ŝ 散点,实线为解析 μ3p(Ŝ) + δ1(δ1 = 3 + ε − ½tr(H I−1) − ∇μ·b,无拟合系数;只在解析域 DET_ML ≳ 5 内画)。每组位置两幅图。第一幅是数据与模型的对比(稿件格式):中列为分档均值 ⟨ΔC⟩ 对 Ŝ,实线 μ3p,虚线 μ3p + δ1;右列为分档 σΔC(绕 μ3p)对 √V3p;灰色空心方块为同一批图像用稿件的整数格 fitter 得到的同一统计量。第二幅是残差图(同一批行):中列为位移 ⟨ΔC − μ3p⟩ ± SE 对 Ŝ,实线为 δ1(只在解析域内画),注意理论对位移的预言是 δ1 而不是 0;右列为宽度比 σΔC − μ3p / √V3p ± SE,理论目前没有宽度项,参考线为 1。在对数坐标的 ΔC 图上 δ1 ≈ 1 与 μ3p 重合看不出来,残差图把它拉开。可见 Ŝ ≲ 10 处宽度比 0.7–0.9(已知的小计数宽度亏损,三档背景和各位置一致),Ŝ ≳ 15 处回到 1.0;位移在解析域内与 δ1 一致,高背景档在阈值带附近低约 0.1–0.3。曲线在该档 b、模板零偏移处解析计算。这里显示 6 个位置;全部 17 个位置的归一化位移 F 对 μ3p 见下面的网格图:pooled 带内 χ²/bin 2.37,δ1/经验 1.031,μ3p ≥ 25 处 χ²/bin 0.62;整数格分支复现稿件 fitter(F 0.326 vs 0.330),连续族 F 0.447 vs δ1 0.461。

Same format as the manuscript figure "deltac-scatter-variance" and as the emldetect figures in 4b, but the points come from our own theory-matched fitter: the FFT-phase continuous template family on psfgen PN band-4 templates at the manuscript's 17 positions, S_true ∈ {3, 5, 7, 10, 15, 20, 30, 50}, b ∈ {0.01, 0.04, 0.16}, 300 rows per cell (122,400 rows). Left: ΔC against Ŝ, solid line the analytic μ3p(Ŝ) + δ11 = 3 + ε − ½tr(H I−1) − ∇μ·b, no fitted coefficient; drawn only inside the analytic domain DET_ML ≳ 5). Two figures per position set. The first is the data-vs-model comparison in the manuscript's format: middle, binned mean ⟨ΔC⟩ against Ŝ with μ3p (solid) and μ3p + δ1 (dashed); right, binned σΔC (about μ3p) against √V3p; grey open squares are the same statistics for the manuscript's integer-grid fitter on the same images. The second is the residual view of the same rows: middle, the shift ⟨ΔC − μ3p⟩ ± SE against Ŝ with δ1 as the solid line (analytic domain only) — the theory predicts the shift to be δ1, not zero; right, the width ratio σΔC − μ3p / √V3p ± SE, with the reference line at 1 because the theory has no width term yet. On the log axis of ΔC the offset δ1 ≈ 1 coincides with μ3p; the residual view separates it. The width ratio is 0.7–0.9 for Ŝ ≲ 10 (the known small-count width deficit, the same at all three background levels and positions) and returns to 1.0 for Ŝ ≳ 15; the shift agrees with δ1 inside the domain, with the high-background level 0.1–0.3 below it near the threshold band. Curves are analytic at the level's b with the template at zero offset. Six positions are shown here; the normalised shift F against μ3p for all 17 positions is in the grid below: pooled band χ²/bin 2.37, δ1/empirical 1.031, χ²/bin 0.62 at μ3p ≥ 25; the integer-grid branch reproduces the manuscript fitter (F 0.326 vs 0.330) while the continuous family sits at 0.447 against δ1 0.461. Source: scripts/plot_e096_draft_style.py on results/e096_pos*_rows.csv; results/e096_summary.md.

E096 data-vs-model view, positions 8, 3, 1
数据与模型对比:PN band 4, positions 8 / 3 / 1(0.0′ / 6.3′ / 14.0′ 离轴)。 / Data vs model: PN band 4, positions 8 / 3 / 1 (0.0′ / 6.3′ / 14.0′ off-axis).
E096 residual view, positions 8, 3, 1
残差图(同一批行):位移 ⟨ΔC − μ3p⟩ 对 δ1,宽度比 σ/√V3p 对 1。 / Residual view (same rows): shift ⟨ΔC − μ3p⟩ against δ1, width ratio σ/√V3p against 1.
E096 data-vs-model view, positions 12, 13, 16
数据与模型对比:PN band 4, positions 12 / 13 / 16(6.3′ / 8.8′ / 14.0′ 离轴,方位角 0° / 45° / 27°)。 / Data vs model: PN band 4, positions 12 / 13 / 16 (6.3′ / 8.8′ / 14.0′ off-axis, azimuths 0° / 45° / 27°).
E096 residual view, positions 12, 13, 16
残差图:positions 12 / 13 / 16。 / Residual view: positions 12 / 13 / 16.
E096 normalised shift F against mu_3p at all 17 positions
全部 17 个位置:经验归一化位移 F ± SE(点)、δ1(绿实线)、δ0(红虚线)、DET_ML 6–10 带(黄)。 / All 17 positions: empirical normalised shift F ± SE (points), δ1 (green solid), δ0 (red dashed), DET_ML 6–10 band (yellow).

standalone emldetect 面板:clean subset 与 pixel-map reference / Standalone emldetect panel: clean subset and pixel-map reference

这里比较三个参考阶段:旧理想的 psfgen/circle;emldetect 有效模板 + 单一背景值(eff);以及 emldetect 有效模板 + 像素背景图(pix)。表中残差是 ΔC − μ₃p,宽度是残差标准差相对于理论 √V₃p 的 σ ratio;主参考为 pix。 / Three reference stages are compared: the old ideal psfgen/circle reference; the emldetect effective template with a single background value (eff); and the effective template with the pixel background map (pix). Tables report residual ΔC − μ₃p and residual width as the σ ratio to theoretical √V₃p; pix is the main reference.

主面板只保留 clean positions:M1 band 4、M2 band 1、M2 band 4 的选定计数分别为 36、62、62(36/62/62)。主 band 为 DET_ML 6–10,另列 μ₃p 最接近 50、100、300、1000 的区域。 / The main panels retain only clean positions: selected counts are 36, 62, and 62 for M1 band 4, M2 band 1, and M2 band 4 (36/62/62). The main band is DET_ML 6–10, with additional regions nearest μ₃p targets 50, 100, 300, and 1000.

clean 判据:每个注入档的 BG_MAP_EML p10–p90 散布 / 中位数 < 5 %。对角条纹位置在 ≥ 5 % 处清楚分开(M1 band 4:10、15、29、31、35、37;M2 band 1 / band 4:15、31、38、40、50);4 个只有 0.5–1.7 % 普通梯度的位置保留为 clean。成员表见 results/e099_clean_membership.csv。results/e099_clean_membership.csv 为准;这里不对差异给出未保存的 resolution。 / Clean rule: BG_MAP_EML p10–p90 spread / median < 5 % at every injected level. The diagonal-streak positions separate cleanly at ≥ 5 % (M1 band 4: 10, 15, 29, 31, 35, 37; M2 band 1 / band 4: 15, 31, 38, 40, 50); four positions with ordinary 0.5–1.7 % gradients are kept as clean. Membership table: results/e099_clean_membership.csv.results/e099_clean_membership.csv; no resolution is inferred here.

DET_ML 6–10 band:三阶段 pooled 与各配置 / DET_ML 6–10 band: three stages, pooled and per configuration

数据集 / Datasetclean 位置 / Clean positionsN旧理想残差 ± SE / Old ideal residual ± SEeff 单一 b 残差 ± SE / eff single-b residual ± SEpix 残差 ± SE / pix residual ± SE宽度 σ ratio:理想 → eff → pix / Width σ ratio: ideal → eff → pix解析 pix 参考 / Analytic pix referencepix remaining gap
pooled160472301-1.1513 ± 0.0046+1.2149 ± 0.0044+1.2202 ± 0.00390.9939 → 1.0310 → 0.93301.0330+0.1872
M1_band436105793-0.8478 ± 0.0123+1.1595 ± 0.0115+1.1901 ± 0.00801.2939 → 1.3238 → 0.92641.0351+0.1550
M2_band162182523-1.1657 ± 0.0066+1.2358 ± 0.0063+1.2353 ± 0.00630.8881 → 0.9372 → 0.93521.0347+0.2006
M2_band462183985-1.3114 ± 0.0069+1.2259 ± 0.0065+1.2225 ± 0.00650.9038 → 0.9358 → 0.93411.0319+0.1906

μ₃p 目标区域:pooled 与各配置 / Nearest μ₃p target regions: pooled and per configuration

数据集 / Dataset目标 μ₃p / Target μ₃p实际 μ₃p / Actual μ₃pN理想残差 ± SE / Ideal residual ± SEeff 残差 ± SE / eff residual ± SEpix 残差 ± SE / pix residual ± SE宽度 σ ratio:理想 → eff → pix / Width σ ratio: ideal → eff → pix解析 pix 参考 / Analytic pix referencepix gap
pooled5050.0551257074-4.6736 ± 0.0120+1.4342 ± 0.0111+1.4054 ± 0.01061.0156 → 1.0272 → 0.97451.0549+0.3505
pooled100101.0040257903-10.2545 ± 0.0178+1.7439 ± 0.0160+1.6592 ± 0.01591.0186 → 0.9904 → 0.98631.0972+0.5620
pooled300321.0401256788-33.0057 ± 0.0404+1.8791 ± 0.0338+1.6271 ± 0.03381.1124 → 0.9940 → 0.99441.3959+0.2312
pooled1000882.9941257210-92.1376 ± 0.0842+1.1033 ± 0.0584+0.4406 ± 0.05841.3531 → 1.0000 → 1.00061.4540-1.0134
M1_band45045.730657910-3.4256 ± 0.0284+1.3574 ± 0.0268+1.3170 ± 0.02041.2537 → 1.2769 → 0.97081.0519+0.2651
M1_band410092.632558144-7.8067 ± 0.0350+1.6193 ± 0.0336+1.4281 ± 0.03101.0337 → 1.0655 → 0.98611.0976+0.3305
M1_band4300300.904457471-26.0238 ± 0.0728+1.9809 ± 0.0695+1.3247 ± 0.06771.0095 → 1.0222 → 0.99571.4041-0.0794
M1_band410001068.297058704-96.8336 ± 0.1493+0.3293 ± 0.1327-1.8316 ± 0.13271.0747 → 1.0088 → 1.01021.3942-3.2258
M2_band15050.202299784-4.8138 ± 0.0178+1.4238 ± 0.0169+1.4092 ± 0.01680.9488 → 0.9771 → 0.97621.0606+0.3486
M2_band1100101.422099953-10.5046 ± 0.0276+1.7540 ± 0.0254+1.7159 ± 0.02540.9914 → 0.9879 → 0.98751.1028+0.6131
M2_band1300322.698199633-33.7188 ± 0.0615+1.8756 ± 0.0536+1.7589 ± 0.05361.0675 → 0.9948 → 0.99511.4074+0.3515
M2_band11000888.845899761-93.8646 ± 0.1243+1.4408 ± 0.0926+1.1607 ± 0.09261.2581 → 0.9984 → 0.99901.4695-0.3088
M2_band45052.833699699-5.3924 ± 0.0199+1.4784 ± 0.0180+1.4566 ± 0.01800.9843 → 0.9746 → 0.97401.0521+0.4044
M2_band4100106.344699857-11.7437 ± 0.0317+1.7474 ± 0.0271+1.7015 ± 0.02711.0613 → 0.9862 → 0.98591.0892+0.6122
M2_band4300283.080599289-31.2587 ± 0.0649+1.9605 ± 0.0512+1.8437 ± 0.05121.1718 → 0.9945 → 0.99451.3272+0.5164
M2_band41000910.789299744-102.4220 ± 0.1604+0.2284 ± 0.0981-0.1163 ± 0.09811.5280 → 1.0001 → 1.00001.4478-1.5641

μ₃p 200–600:位置级散布 / μ₃p 200–600: position-level scatter

数据集 / DatasetN理想残差 ± SE / Ideal residual ± SEeff 残差 ± SE / eff residual ± SEpix 残差 ± SE / pix residual ± SE宽度 σ ratio:理想 → eff → pix / Width σ ratio: ideal → eff → pixpix 位置散布:std;min … max / pix position scatter: std; min … max
pooled1739111-36.9905 ± 0.0191+1.7908 ± 0.0136+1.5157 ± 0.01361.3111 → 0.9977 → 0.99721.0828; -3.0465 … +3.8058
M1_band4376310-31.0021 ± 0.0345+1.9113 ± 0.0289+1.1288 ± 0.02871.1302 → 1.0023 → 0.99891.2894; -3.0465 … +3.3920
M2_band1674688-37.5695 ± 0.0293+1.8809 ± 0.0216+1.7552 ± 0.02151.2677 → 0.9979 → 0.99820.8767; -1.9416 … +3.5059
M2_band4688113-39.6975 ± 0.0335+1.6365 ± 0.0221+1.4923 ± 0.02211.4019 → 0.9952 → 0.99521.0890; -1.4530 … +3.8058

线性拟合斜率(25 ≤ μ₃p ≤ 1000) / Linear-fit slopes (25 ≤ μ₃p ≤ 1000)

数据集 / Dataset旧理想 c ± SE / Old ideal c ± SEeff c ± SEpix c ± SE
pooled-0.105422 ± 0.000039-0.000215 ± 0.000031-0.000973 ± 0.000031
M1_band4-0.089927 ± 0.000069+0.000227 ± 0.000065-0.001936 ± 0.000063
M2_band1-0.106650 ± 0.000059+0.000253 ± 0.000049-0.000075 ± 0.000049
M2_band4-0.112952 ± 0.000071-0.000928 ± 0.000051-0.001311 ± 0.000051
E099 pooled clean-subset residual versus mu_3p
E099 pooled clean subset:残差随 μ₃p;旧理想、eff、pix 三参考。 / E099 pooled clean subset: residual versus μ₃p for the old ideal, eff, and pix references.
E099 M1 band 4 clean-subset residual versus mu_3p
M1_band4 clean subset: residual versus μ₃p.
E099 M2 band 1 clean-subset residual versus mu_3p
M2_band1 clean subset: residual versus μ₃p.
E099 M2 band 4 clean-subset residual versus mu_3p
M2_band4 clean subset: residual versus μ₃p.
E099 clean-subset sigma ratio versus mu_3p
clean subset 宽度:σ ratio 随 μ₃p。 / Clean-subset width: σ ratio versus μ₃p.
E099 clean-position residual scatter
clean positions 的 band 残差与 μ₃p 200–600 位置散布。 / Clean-position band residual and μ₃p 200–600 position scatter.
上一版(E094,all positions) / Previous version (E094, all positions)

以下表格保留 E094 的 all-position 结果,仅作历史对照;当前主面板使用上面的 E099 clean subset。 / The following tables preserve the E094 all-position results for historical comparison; the current main panel uses the E099 clean subset above.

旧参考 vs 有效模板:pooled 区域 / Old reference vs effective template: pooled regions

区域 / Region理想残差 / Residual ideal有效残差 ± SE / Residual effective ± SEσ 比:理想 → 有效 / Sigma ratio: ideal → effective解析参考 / Analytic reference剩余 gap / Remaining gap
DET_ML 6–10-1.194375 ± 0.003994316+1.181191 ± 0.0038000750.9002705 → 0.94239190.8820293+0.2991613
μ₃p ≈ 50-4.813203 ± 0.01099138+1.325126 ± 0.010277360.9758538 → 0.99237230.923485+0.4016414
μ₃p ≈ 100-10.52413 ± 0.0173246+1.535956 ± 0.015664121.035691 → 1.0133880.9737234+0.562233
μ₃p ≈ 300-33.72923 ± 0.03921834+1.273935 ± 0.033130141.132868 → 1.0230821.358321-0.08438618
μ₃p ≈ 1000-94.15027 ± 0.08218094-0.6280529 ± 0.05883791.385999 → 1.0571471.446351-2.074404

E094 线性拟合斜率(25 ≤ μ₃p_eff ≤ 1000) / E094 linear-fit slopes (25 ≤ μ₃p_eff ≤ 1000)

数据集 / Dataset理想斜率 c ± SE / Ideal slope c ± SE有效斜率 c ± SE / Effective slope c ± SE|c_eff| / |c_ideal|
M1_band4-0.09561443 ± 7.128129e-05-0.002986066 ± 6.567405e-050.03123029
M2_band1-0.1081223 ± 5.704723e-05-0.001454342 ± 4.79699e-050.0134509
M2_band4-0.1148668 ± 6.878349e-05-0.002733261 ± 4.966095e-050.02379505
pooled-0.1077854 ± 3.838389e-05-0.002306144 ± 3.060688e-050.0213957

读法:与 μ₃p 成正比的 gap 是参考模板/支持不匹配;在 DET_ML 6–10 band 中,剩余 gap 为 ΔC 的 +0.2991613(约 +0.3)。 / Reading: the proportional-to-μ₃p gap was a reference-template/support mismatch; in the DET_ML 6–10 band, the remaining gap is +0.2991613 in ΔC (approximately +0.3).

匹配与理论 caveats / Matching and theory caveats

  • 按配置有 22–26% 的行超出 ±0.5-px candidate grid,因此使用最近的边缘 candidate。 / Depending on configuration, 22–26% of rows lie beyond the ±0.5-px candidate grid and therefore use the nearest edge candidate.
  • delta0_eff 使用 np.gradient 导数场。 / delta0_eff uses np.gradient derivative fields.
  • eps_King 借用并插值自 King grid;没有在 emldetect 有效模板上重新计算。 / eps_King is borrowed and interpolated from the King grid; it was not computed on the emldetect effective template.
保留的旧理想总览 / Preserved old ideal overview
Preserved E093 ideal overview / 保留的 E093 理想总览
图:E093 旧理想参考总览(保留用于对照)。 / Figure: preserved E093 old ideal-reference overview for comparison.

4b. clean subset draft 风格视图:散点、binned 均值、binned σ / 4b. Clean-subset draft-style view: scatter, binned mean, binned sigma

与 3b 同一格式,每个 config 两幅图。第一幅为数据与模型对比:左列 ΔC 对 S_eml 散点与解析均值 μ_pix + δ(实线,只在解析域内加 δ);中列分档均值 ⟨ΔC⟩,实线 μ_pix,虚线 μ_pix + δ;右列分档 σ_ΔC 对 √V_pix。第二幅为同一批行的残差图:中列位移 ⟨ΔC − μ_pix⟩ ± SE 对 S_eml,实线为 δ(δ₀^pix + ε,无系数,只在解析域内画;理论预言的位移是 δ 而非 0);右列宽度比 σ/√V_pix ± SE,理论无宽度项,参考线为 1。灰色空心方块为同一行对 single-b eff 参考的同一统计量。分档统计使用该位置的全部行(E073 行无 DET_ML 截断,mlmin = 0.001)。全部只显示 clean positions:M1 band 4 为 8 / 20 / 0,M2 band 4 为 29 / 47 / 63。可见:解析域内位移落在 δ 上,最低背景档在 S_eml 5–15 处高出 δ 约 0.5;宽度比在 S_eml ≲ 15 处 0.85–0.95,其上为 1.0,与 3b 的理论匹配 fitter 行为一致。 / Same layout as 3b, two figures per configuration. The first is the data-vs-model comparison: left, ΔC against S_eml with the analytic mean μ_pix + δ (solid; δ added inside the analytic domain only); middle, binned mean ⟨ΔC⟩ with μ_pix (solid) and μ_pix + δ (dashed); right, binned σ_ΔC against √V_pix. The second is the residual view of the same rows: middle, the shift ⟨ΔC − μ_pix⟩ ± SE against S_eml with δ (δ₀^pix + ε, no coefficient, analytic domain only) as the solid line — the theory predicts the shift to be δ, not zero; right, the width ratio σ/√V_pix ± SE, reference line at 1 because the theory has no width term. Grey open squares are the same statistics of the same rows against the single-b eff reference. Binned statistics use every row of the position (the E073 rows carry no DET_ML truncation, mlmin = 0.001). Clean positions only: M1 band 4 positions 8 / 20 / 0, M2 band 4 positions 29 / 47 / 63. The shift sits on δ inside the domain, with the lowest background level about 0.5 above δ at S_eml 5–15; the width ratio is 0.85–0.95 for S_eml ≲ 15 and 1.0 above, the same behaviour as the theory-matched fitter in 3b.

E099 M2 band 4 data-vs-model view, positions 29 / 47 / 63
数据与模型对比:M2 band 4 positions 29 / 47 / 63(0.6′ / 7.3′ / 13.1′ 离轴,全部 clean);彩色为像素背景参考,灰色为单一背景值参考。 / Data vs model: M2 band 4 positions 29 / 47 / 63 (0.6′ / 7.3′ / 13.1′ off-axis, all clean); colour = pixel-map reference, grey = single-b reference.
E099 M2 band 4 residual view, positions 29 / 47 / 63
残差图(同一批行):位移 ⟨ΔC − μpix⟩ 对 δ,宽度比 σ/√Vpix 对 1。 / Residual view (same rows): shift ⟨ΔC − μpix⟩ against δ, width ratio σ/√Vpix against 1.
E099 M1 band 4 data-vs-model view, positions 8 / 20 / 0
数据与模型对比:M1 band 4 positions 8 / 20 / 0(12.4′ / 3.5′ / 13.9′ 离轴,全部 clean);彩色为像素背景参考,灰色为单一背景值参考。 / Data vs model: M1 band 4 positions 8 / 20 / 0 (12.4′ / 3.5′ / 13.9′ off-axis, all clean); colour = pixel-map reference, grey = single-b reference.
E099 M1 band 4 residual view, positions 8 / 20 / 0
残差图(同一批行):位移 ⟨ΔC − μpix⟩ 对 δ,宽度比 σ/√Vpix 对 1。 / Residual view (same rows): shift ⟨ΔC − μpix⟩ against δ, width ratio σ/√Vpix against 1.
条纹位置(排除) / Streak positions (excluded)

背景图中的对角低值条纹使拟合位置在不同重复中采样不同的背景图模式,从而造成 source-list 背景值的双峰。由于该机制属于输入背景图的局部 map 结构,条纹位置不进入主 panel,只作为 caveat 保留。 / A diagonal low-valued streak in the background map makes fitted positions sample different map modes across repeats, producing a bimodal source-list background value. Because this mechanism is a local structure of the input background map, streak positions are excluded from the main panels and retained only as a caveat.

E097 M1 band 4 position 29 before and after pixel-map reference
E097 M1 band 4 position 29:pixel-map reference 修正前后。 / E097 M1 band 4 position 29: before and after the pixel-map reference.
E099 clean and streak position coverage
E099 位置覆盖:蓝色为 clean,红色为 streak;保留 0.5% reference line。 / E099 position coverage: clean in blue and streak in red; the 0.5% reference line is retained.

不覆盖的内容 / What is NOT covered

  • DET_ML < 5:渐近级数发散,超出有用域。 / DET_ML < 5: the asymptotic series diverges and is outside the useful domain.
  • b > 0.16:模拟未覆盖。 / b > 0.16: not covered by the simulations.
  • 偏轴位置:只有 emldetect 数据覆盖 42 个位置;模拟闭合不作偏轴推广。 / Off-axis positions: only the emldetect data cover 42 positions; the simulation closure is not extended off axis.
  • 模拟中的能段 2/3/5:未覆盖。 / Simulation bands 2/3/5: not covered.
  • 整数网格约定:F 低 0.13–0.15。 / Integer-grid convention: F is lower by 0.13–0.15.
  • 宽度 G:本页没有解析闭合。 / Width G: no analytic closure is provided here.
  • emldetect 工程 gap:是测量边界,不作因果归因。 / emldetect engineering gap: a measured boundary, not a causal attribution.
  • 背景图携带条纹的位置(176 个中的 11 个),以及由此延伸的芯片间隙附近真实源。 / positions whose background map carries streaks (11 of 176) and, by extension, real sources near chip gaps.

这些主张与 caveat 仅对应 E093 已保存的结果表和摘要;没有读取或重算更早的科学 corpus。 / These claims and caveats are limited to the persisted E093 result tables and summaries; no earlier scientific corpus was read or recomputed.