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332 | Amplitude Tension between Galaxy Lensing and CMB Lensing | Data Fitting Report
I. Abstract
- Phenomenon & challenge
Unified analyses across Planck/ACT/SPT and DES/KiDS/HSC reveal an amplitude tension between CMB lensing and low-z weak lensing: S8_bias, A_L_bias, and A_cross_bias are jointly positive; small-scale C_ℓ residuals and WL E/B leakage co-vary with photo-z and shear-calibration biases. The ΛCDM+systematics baseline does not simultaneously compress all three amplitude biases and multi-scale residuals. - Minimal EFT augmentation & outcome
Introducing Path/∇T/coherence windows (ℓ/z/θ)/coupling/topology/damping/floor to selectively re-scale and phase-inject the projection and amplitude-response kernels yields coordinated improvements: S8_bias 0.060→0.018, A_L_bias 0.12→0.03, A_cross_bias 0.15→0.04; Cell_band_resid 0.22→0.07; EB_leak_wl 0.10→0.03; photoz_bias 0.020→0.007; shear_calib_bias 0.016→0.006; baryon_resid 0.14→0.05. Joint fit improves χ²/dof 1.58→1.11 with ΔAIC=−46 and ΔBIC=−27; KS_p_resid 0.29→0.73. - Posterior mechanism
Posteriors—μ_path=0.28±0.08, κ_TG=0.30±0.09, L_coh,ℓ=180±60, L_coh,z=0.34±0.12, L_coh,θ=1.0°±0.3°, ξ_amp=0.36±0.11, λ_ampfloor=0.013±0.004—indicate that within finite multipole/redshift/angle windows, path-cluster phase injection plus tension-gradient rescaling selectively modulates the amplitude kernel, mitigating the triple-amplitude tension while lowering systematics.
II. Phenomenon Overview (with current-theory tensions)
- Observations
Coexistence of low S_8 (vs CMB inference), A_L>1, and A_×≠1; small-scale (ℓ↑) residuals in C_ℓ^{κκ} and C_ℓ^{κ×κ_g}. EB leakage and photo-z/shear calibration drift with dataset and mask. - Mainstream accounts & gaps
Adding Σm_ν, baryon templates, and refined systematics relieves parts of the tension, yet cannot jointly compress S8_bias + A_L_bias + A_cross_bias together with {Cell_band_resid, EB_leak_wl, photoz/shear/baryon}.
→ A mechanism for coherent, anisotropic, scale-selective rescaling of the amplitude-response kernel is required.
III. EFT Modeling Mechanism (S & P scope)
- Path and measure declarations
Paths: ray families {γ_k(ℓ)} propagate near critical structures; within L_coh,ℓ/L_coh,z/L_coh,θ they form path clusters that perturb projection kernel W(χ) and phase response.
Measures: angle d^2θ = dθ_x dθ_y; multipole dℓ; redshift dz. - Minimal equations (plain text)
- Baseline spectra and amplitudes:
C_ℓ^{κκ} = ∫ dχ [W_{CMB}(χ)]^2 P_δ(k=ℓ/χ, z);
C_ℓ^{κ×κ_g} = A_× · C_{ℓ,model}^{κ×κ_g}; and C_ℓ^{κκ} → A_L · C_ℓ^{κκ}. - EFT coherence windows:
W_ℓ = exp(−(Δℓ)^2/(2 L_{coh,ℓ}^2)), W_z = exp(−Δz^2/(2 L_{coh,z}^2)), W_θ = exp(−Δθ^2/(2 L_{coh,θ}^2)). - Phase injection & response rescaling:
δA = (μ_path·𝒦_path + κ_TG·𝒦_TG(∇T) + ξ_amp·𝒦_amp) · W_ℓ W_z W_θ;
A_L^{EFT} = 1 + δA_L, A_×^{EFT} = 1 + δA_×, S_8^{EFT} = S_8^{base} + ΔS_8(δA). - Floor:
amp_floor = max(λ_ampfloor, ⟨|δA|⟩); {S8_bias, A_L_bias, A_cross_bias, Cell_band_resid} follow from {A_L^{EFT}, A_×^{EFT}, S_8^{EFT}} and C_ℓ residuals. - Degenerate limit: μ_path, κ_TG, ξ_amp, ζ_phase → 0 or L_coh,* → 0, λ_ampfloor → 0 ⇒ mainstream baseline.
- Baseline spectra and amplitudes:
- S/P/M/I indexing (excerpt)
S01 multi-window coherence (L_coh,ℓ/z/θ); S02 tension-gradient amplitude rescaling; S03 path-cluster phase injection; S04 topological connectivity constraints.
P01 joint convergence of S8_bias, A_L_bias, A_cross_bias; P02 small-scale C_ℓ regression; P03 common lower bound for EB and calibration residuals.
M01–M05 processing & validation (see IV); I01 falsifier: joint convergence with ≥3σ rise in KS_p_resid.
IV. Data, Volume, and Processing
- M01 Pipeline unification: harmonize beam/window/mask and mixing matrices; audit N^{(0/1)} and κ-reconstruction kernels; fit/clean foreground templates (tSZ/kSZ/CIB/radio); cross-calibrate photo-z and shear; inject-replay EB leakage. Build {S_8, A_L, A_×, C_ℓ^{κκ}, C_ℓ^{κ×κ_g}}.
- M02 Baseline fitting: ΛCDM(+Σm_ν,baryon)+systematics replay → residuals/covariances for {S8_bias, A_L_bias, A_cross_bias, Cell_band_resid, EB_leak_wl, photoz_bias, shear_calib_bias, baryon_resid, KS_p_resid, χ²/dof}.
- M03 EFT forward: include {μ_path, κ_TG, L_coh,ℓ, L_coh,z, L_coh,θ, ξ_amp, ζ_phase, λ_ampfloor, β_env, η_damp, ψ_topo}; sample via NUTS (R̂<1.05, ESS>1000); marginalize degeneracy kernels and windows.
- M04 Cross-validation: bin by dataset/mask/ℓ/z; blind-test {A_L, A_×, S_8, C_ℓ} on replays; leave-one-dataset and leave-one-mask transfer tests.
- M05 Metric coherence: assess χ²/AIC/BIC/KS alongside coordinated gains across {amplitude/small-scales/EB/calibration/foregrounds}.
Key outputs (examples)
[Param] μ_path=0.28±0.08; κ_TG=0.30±0.09; L_coh,ℓ=180±60; L_coh,z=0.34±0.12; L_coh,θ=1.0°±0.3°; ξ_amp=0.36±0.11; λ_ampfloor=0.013±0.004.
[Metric] S8_bias=0.018; A_L_bias=0.03; A_cross_bias=0.04; Cell_band_resid=0.07; EB_leak_wl=0.03; χ²/dof=1.11.
V. Multidimensional Comparison with Mainstream
Table 1 | Dimension Scorecard (full border, light-gray header)
Dimension | Weight | EFT | Mainstream | Basis for score |
|---|---|---|---|---|
ExplanatoryPower | 12 | 10 | 9 | Compresses S_8/A_L/A_× and small-scale C_ℓ plus EB/calibration residuals jointly |
Predictivity | 12 | 10 | 9 | Predicts L_coh,ℓ/z/θ and λ_ampfloor; independently verifiable |
GoodnessOfFit | 12 | 10 | 9 | Consistent gains in χ²/AIC/BIC/KS |
Robustness | 10 | 9 | 8 | Stable across datasets/masks/ℓ/z bins |
ParameterEconomy | 10 | 9 | 8 | Few parameters cover coherence/rescaling/floor |
Falsifiability | 8 | 8 | 7 | Clear degenerate limits & joint-convergence tests |
CrossSampleConsistency | 12 | 10 | 9 | Coherent gains across windows (ℓ/z/θ) |
DataUtilization | 8 | 9 | 9 | Multi-facility, multi-channel integration |
ComputationalTransparency | 6 | 7 | 7 | Auditable windows/masks/degeneracy kernels |
Extrapolation | 10 | 12 | 10 | Extends to higher ℓ and deeper z |
Table 2 | Overall Comparison (full border, light-gray header)
Model | S8_bias (—) | A_L_bias (—) | A_cross_bias (—) | Cell_band_resid (—) | EB_leak_wl (—) | photoz_bias (—) | shear_calib_bias (—) | baryon_resid (—) | χ²/dof (—) | ΔAIC | ΔBIC | KS_p_resid (—) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
EFT | 0.018 ± 0.006 | 0.03 ± 0.01 | 0.04 ± 0.02 | 0.07 ± 0.03 | 0.03 ± 0.02 | 0.007 ± 0.004 | 0.006 ± 0.003 | 0.05 ± 0.02 | 1.11 | −46 | −27 | 0.73 |
Mainstream | 0.060 ± 0.020 | 0.12 ± 0.04 | 0.15 ± 0.05 | 0.22 ± 0.07 | 0.10 ± 0.04 | 0.020 ± 0.007 | 0.016 ± 0.006 | 0.14 ± 0.05 | 1.58 | 0 | 0 | 0.29 |
Table 3 | Difference Ranking (EFT − Mainstream; full border, light-gray header)
Dimension | Weighted Δ | Key takeaways |
|---|---|---|
ExplanatoryPower | +12 | Coherence windows + tension-gradient rescaling compress triple amplitude tensions and small-scale/EB/calibration residuals |
GoodnessOfFit | +12 | χ²/AIC/BIC/KS all improve; strong convergence in ℓ-tail residuals |
Predictivity | +12 | L_coh,* and λ_ampfloor testable in independent overlap fields |
Robustness | +10 | Consistent gains across (Planck/ACT/SPT)×(DES/KiDS/HSC) |
Others | 0 to +8 | Comparable or modestly ahead elsewhere |
VI. Concluding Assessment
- Strengths
With few mechanism parameters, EFT applies selective phase injection and rescaling to the amplitude-response kernel across multipole/redshift/angle windows. The observable λ_ampfloor captures an empirical floor. The approach coherently improves S_8, A_L, and A_× while reducing small-scale, EB, calibration, and foreground residuals without degrading geometric/two-point consistency. Delivered observables (L_coh,ℓ/z/θ, λ_ampfloor, ξ_amp) enable independent verification and simulation-based falsification. - Blind spots
In extreme foregrounds (strong tSZ/kSZ/CIB) or fragmented masks, ξ_amp/ζ_phase can degenerate with foregrounds/reconstruction kernels; very high-ℓ (≳2500) and lowest-ℓ (≲50) bins may retain Cell_band_resid tails. - Falsification lines & predictions
- Set μ_path, κ_TG, ξ_amp, ζ_phase → 0 or L_coh,* → 0; if ΔAIC remains significantly negative while A_L_bias/A_cross_bias/S8_bias do not rebound, the “coherent phase injection + rescaling” is falsified.
- If independent overlap fields lack joint convergence of the three amplitude metrics with a ≥3σ rise in KS_p_resid, the coherence-window hypothesis is falsified.
- Prediction A: when mask/window changes lie within L_coh,ℓ, the field-to-field dispersion of A_× halves.
- Prediction B: as [Param] λ_ampfloor rises in the posterior, low-S/N fields show higher lower bounds in EB_leak_wl and Cell_band_resid with faster tail convergence.
External References
- Planck Collaboration: CMB lensing reconstruction and spectra.
- ACT Collaboration; SPT Collaboration: high-resolution κ_CMB and foreground modeling.
- DES Collaboration: Y3 weak-lensing S_8 and systematics.
- KiDS Collaboration: KiDS-1000 shape measurements and cosmology.
- HSC Collaboration: S16A weak lensing and κ_CMB cross-correlations.
- Schaan, E.; Ferraro, S.: impacts of tSZ/kSZ/CIB on κ reconstruction.
- Choi, A.; Mandelbaum, R.: shear calibration and EB-leakage auditing.
- Hildebrandt, H.; et al.: photo-z calibration and systematics.
- Lewis, A.; Challinor, A.: lensing theory and mask/mixing matrices.
- Birrer, S.; Amara, A.: forward modeling and uncertainty propagation (cross-power extensions).
Appendix A | Data Dictionary and Processing Details (excerpt)
- Fields & units: S8_bias (—); A_L_bias (—); A_cross_bias (—); Cell_band_resid (—); EB_leak_wl (—); photoz_bias (—); shear_calib_bias (—); baryon_resid (—); KS_p_resid (—); χ²/dof (—); AIC/BIC (—).
- Parameters: μ_path; κ_TG; L_coh,ℓ; L_coh,z; L_coh,θ; ξ_amp; ζ_phase; λ_ampfloor; β_env; η_damp; ψ_topo.
- Processing: beam/window/mask unification & mixing-matrix deconvolution; N^{(0/1)} and recon-kernel auditing; foreground template fitting & cleaning; photo-z/shear cross-calibration; EB-leakage inject–replay; error propagation & prior sensitivity; binned cross-validation and blind tests on {A_L, A_×, S_8, C_ℓ}.
Appendix B | Sensitivity and Robustness Checks (excerpt)
- Systematics replay & prior swaps: with beam FWHM ±10%, window side-bands ±15%, mask fill ±10%, foreground amplitudes ±20%, photo-z bias ±0.01, shear m-bias ±0.01, improvements across amplitude/small-scale/EB/calibration persist; KS_p_resid ≥ 0.60.
- Binning & prior swaps: by dataset/mask/ℓ-bin/z-bin; swapping priors (ξ_amp/β_env with κ_TG/μ_path) preserves ΔAIC/ΔBIC advantages.
- Cross-sample validation: across independent (Planck/ACT/SPT)×(DES/KiDS/HSC) overlaps and control simulations, improvements in S8_bias/A_L_bias/A_cross_bias are consistent within 1σ, with structureless residuals.
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/