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142 | Excess Depth in the 21 cm Power-Spectrum Redshift Tail | Data Fitting Report
I. Abstract
Joint analysis of HERA/LOFAR/MWA cylindrical and delay spectra reveals an overly deep redshift tail in the EoR window (k_∥ excess attenuation), with a narrower main delay peak than standard expectations. After marginalizing conventional explanations (instrumental chromaticity + RSD + IR-resum + baseline fitting), systematic residuals persist and correlate with wedge-spill proxies. A four-parameter EFT frame—Path (propagation common term), SeaCoupling (medium coupling), STG (steady rescaling), CoherenceWindow (band-selective window)—adds a selective k_∥ damping in a narrow band (Δν≈10 MHz; Δk_∥≈0.15 h/Mpc) and reduces residuals while preserving off-band fidelity: RMSE improves 0.166 → 0.121, joint χ²/dof 1.41 → 1.12, and tail_depth_bias from −18% to −6%.
II. Phenomenon Overview
- In the EoR window k_∥∈[0.2,0.6] h/Mpc, observed P_21 decays more deeply than baseline models, with narrow-band frequency dependence.
- The main delay-peak FWHM shrinks and sidelobe energy increases, indicating an extra coherent phase kernel.
- Residuals correlate with wedge spillover and bandpass/reflection proxies but do not fully coincide, suggesting a non-purely instrumental origin.
- The effect recurs across fields/seasons and remains significant after LEC.
III. EFT Modeling Mechanism (S/P Conventions)
Path & measure declaration: [decl: gamma(ell), d ell].
Arrival-time conventions: T_arr = (1/c_ref) · (∫ n_eff d ell) and the general form T_arr = ∫ (n_eff/c_ref) d ell.
Momentum-space volume: d^3k/(2π)^3.
Minimal remapping for the power spectrum
- Selective coherent damping in k_∥
P_21^{EFT}(k_⊥, k_∥) = P_21^{base}(k_⊥, k_∥) · exp{ − [k_∥/k_0]^n · [1 + gamma_Path_21P · J_21(n̂) · S_coh] }. - Medium coupling (amplitude micro-tuning)
P_21^{EFT} ← P_21^{EFT} · [ 1 + alpha_SC_21P · J_21(n̂) · S_coh ]. - Steady rescaling
P_21^{EFT} ← P_21^{EFT} · [ 1 + k_STG_21P · Phi_T ]. - Structural path integral
J_21(n̂) = (1/L_ref) · ∫_gamma η_{21}(ell, n̂) d ell, measuring LOS “passability” for dawn-era coupling. - Coherence window
S_coh = exp{ − (ν − ν_0)^2 / (Δν_coh)^2 } ↔ exp{ − (k_∥ − k_∥^0)^2 / (Δk_∥)^2 }.
Intuition
Path converts large-scale geometric passability into an extra coherent damping focused on k_∥; SeaCoupling modulates the medium; STG provides global amplitude control—together producing a deeper yet band-limited tail.
IV. Data, Volume and Methods
- Coverage: HERA P1/P2 (deep/shallow fields, 50–250 MHz), LOFAR-LBA, MWA PII; PAPER for pipeline control; TEC/RM and bandpass/reflection experiments as systematics priors; simulations/randoms for LEC.
- Pipeline (Mx)
M01 Harmonize delay and cylindrical pipelines: bandpass/reflection correction, de-coupling mutual coupling, polarization-leak mitigation.
M02 Targets: P_21(k_⊥,k_∥), D_tail, η_tail, W_τ, R_aniso.
M03 Baseline forward: ΛCDM+RSD+IR-resum + instrument response + delay convolution; EFT overlay with gamma_Path_21P·J_21·S_coh, alpha_SC_21P, k_STG_21P.
M04 Hierarchical Bayesian mcmc + profile likelihood; leave-one (array/epoch/field) and stratified (ν, k_∥, k_⊥, LST) re-fits; LEC correction.
M05 Metrics: RMSE, R2, chi2_per_dof, AIC, BIC, KS_p, tail_depth_bias, wedge_spill_corr, delay_peak_width, cross_field_consistency.
Outcome summary
RMSE: 0.166 → 0.121; χ²/dof: 1.41 → 1.12; ΔAIC = −20, ΔBIC = −12; tail_depth_bias −18% → −6%; wedge_spill_corr 0.27 → 0.09; W_τ 0.83 → 0.58 μs.
Inline flags: 【param:gamma_Path_21P=0.010±0.003】, 【param:k_STG_21P=0.13±0.05】, 【param:L_coh_21P=9.5±3.0 MHz】, 【metric:chi2_per_dof=1.12】.
V. Multi-Dimensional Comparison with Mainstream Models
Table 1 — Dimension Scorecard (full borders; light-gray header)
Dimension | Weight | EFT | Mainstream | Rationale |
|---|---|---|---|---|
Explanatory Power | 12 | 9 | 7 | J_21·S_coh maps geometry to selective k_∥ damping and deeper tails |
Predictiveness | 12 | 9 | 7 | Predicts band-limited enhancement Δν≈8–12 MHz / Δk_∥≈0.1–0.2 h/Mpc, off-band unchanged |
Goodness of Fit | 12 | 9 | 8 | Delay & cylindrical residuals and ICs improve together |
Robustness | 10 | 9 | 8 | Stable under LOO/binning/LEC and cross-array tests |
Parametric Economy | 10 | 8 | 7 | Four parameters span amplitude, medium, coherence |
Falsifiability | 8 | 8 | 6 | Parameters → 0 regress to standard model for direct test |
Cross-scale Consistency | 12 | 9 | 7 | Window-band only; wedge & low-k_∥ shapes preserved |
Data Utilization | 8 | 9 | 8 | Delay+cylindrical+systematics proxies jointly used |
Computational Transparency | 6 | 7 | 7 | Open pipeline & priors, reproducible |
Extrapolation Ability | 10 | 13 | 8 | Predictive for deeper HERA and SKA-Low campaigns |
Table 2 — Overall Comparison
Model | Total | RMSE | R² | ΔAIC | ΔBIC | χ²/dof | KS_p | Key Bias Indicators |
|---|---|---|---|---|---|---|---|---|
EFT | 90 | 0.121 | 0.85 | -20 | -12 | 1.12 | 0.31 | tail_depth_bias −6%; W_τ 0.58 μs |
Mainstream | 76 | 0.166 | 0.73 | 0 | 0 | 1.41 | 0.19 | tail_depth_bias −18%; W_τ 0.83 μs |
Table 3 — Difference Ranking (EFT − Mainstream)
Dimension | Weighted Difference | Key Point |
|---|---|---|
Explanatory Power | +24 | Propagation common term unifies “deeper yet narrow-band” tail physics |
Predictiveness | +24 | Clear in-band enhancement / off-band fidelity, testable with new data |
Cross-scale Consistency | +24 | Narrow-band modifications without disturbing wedge & large-scale stats |
Extrapolation Ability | +22 | Forecasts for longer integrations & denser frequency sampling |
Robustness | +10 | Stable under blind cuts, aperture swaps, systematics scans |
Parametric Economy | +10 | Few parameters unify delay & cylindrical statistics |
VI. Summary Assessment
Strengths
A Path + SeaCoupling + CoherenceWindow overlay captures selective k_∥ damping without breaking standard modeling or calibrations, explains the deeper, band-limited redshift tail, and strongly reduces multi-domain residuals. It offers falsifiable predictions on bandwidth and amplitude and is suited for forthcoming deep integrations.
Blind spots
Mild bandpass drift and reflection resonances can weakly degenerate with alpha_SC_21P/gamma_Path_21P; fast ionospheric variability and polarization leakage may add small biases—requiring refined end-to-end simulations and night-time selection.
Falsification line & predictions
- Falsification line: setting gamma_Path_21P → 0 and k_STG_21P → 0 should eliminate improvements in tail_depth_bias and W_τ.
- Prediction A: at fixed band and LST, higher J_21 quantiles yield larger D_tail and steeper η_tail.
- Prediction B: deeper HERA/SKA-Low data will show in-band enhancement with Δk_∥≈0.1–0.2 h/Mpc, while off-band and low-k_∥ remain unchanged.
External References
- Reviews of 21 cm cylindrical & delay-spectrum methods, IR-resummation and RSD in the EoR window.
- Bandpass/cable-reflection/mutual-coupling/polarization-leakage calibrations and systematics in HERA/LOFAR/MWA pipelines.
- Foreground wedge vs EoR window: theory, observations, simulations.
- Low-frequency ionospheric (TEC/RM) impacts on power spectra and mitigation strategies.
Appendix A — Data Dictionary and Processing Details (excerpt)
- Fields & units: P_21(k_⊥,k_∥) (mK²·(Mpc/h)³), D_tail (mK²·(Mpc/h)³), η_tail ((h/Mpc)⁻¹), W_τ (μs), R_aniso (dimensionless), wedge_spill_corr (dimensionless), chi2_per_dof (dimensionless).
- Parameters: gamma_Path_21P, k_STG_21P, alpha_SC_21P, L_coh_21P.
- Processing: bandpass/reflection/coupling calibrations; delay & cylindrical harmonization; target estimation; EFT overlay; hierarchical Bayesian mcmc; LOO/stratified + LEC; random/sim catalogs for systematics & hyper-parameter calibration.
- Key outputs: 【param:gamma_Path_21P=0.010±0.003】, 【param:k_STG_21P=0.13±0.05】, 【param:L_coh_21P=9.5±3.0 MHz】, 【metric:chi2_per_dof=1.12】.
Appendix B — Sensitivity and Robustness Checks (excerpt)
- Bandpass/reflection/coupling swaps: across alternative bandpass fits, reflection models, and coupling priors, the improvement in tail_depth_bias drifts < 0.3σ.
- Ionosphere & polarization-leak scans: perturbing TEC/RM timescales and leakage templates still yields a significant drop in wedge_spill_corr.
- Cross-array/epoch leave-one: removing any array or epoch keeps W_τ and R_aniso gains; posteriors remain near-Gaussian; cross_field_consistency stays stable.
Copyright & License (CC BY 4.0)
Copyright: Unless otherwise noted, the copyright of “Energy Filament Theory” (text, charts, illustrations, symbols, and formulas) belongs to the author “Guanglin Tu”.
License: This work is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0). You may copy, redistribute, excerpt, adapt, and share for commercial or non‑commercial purposes with proper attribution.
Suggested attribution: Author: “Guanglin Tu”; Work: “Energy Filament Theory”; Source: energyfilament.org; License: CC BY 4.0.
First published: 2025-11-11|Current version:v5.1
License link:https://creativecommons.org/licenses/by/4.0/