Constraint-Propagation Pipeline for "Operational Tests of CETω Black Holes: Horizon Absorption, Ringdown Shifts, and Multimessenger Bounds"

Reproducibility package for the CETω black-hole phenomenology paper. Contains: (1) pipeline.py — MCMC constraint-propagation code mapping (Ξ_Ω, 𝔯^p) to (ε_Ω, η_Ω, δ_Ω) via the universal scaling relation; (2) config.yaml — default configuration; (3) posterior figures; (4) summary.json with 95% credible intervals. Response coefficients for the exponential profile (ℓ = M): C_ε = 5e⁻¹/54 ≈ 0.034, C_η = 50e⁻⁴/27 ≈ 0.034, C_δ ≈ 0.061. Posterior samples can be regenerated by running: python pipeline.py (runtime ~5 min). Requires numpy, scipy, matplotlib.CETω黑洞现象学论文的可复现性配套代码包。包含如下内容：(1) pipeline.py——通过普适标度关系将(Ξ_Ω, 𝔯^p)映射至(ε_Ω, η_Ω, δ_Ω)的马尔可夫链蒙特卡洛（Markov Chain Monte Carlo, MCMC）约束传播代码；(2) config.yaml——默认配置文件；(3) 后验分布可视化图；(4) 包含95%置信区间的summary.json。指数型轮廓（ℓ = M）对应的响应系数为：C_ε = 5×10⁻¹/54 ≈ 0.034，C_η = 50×10⁻⁴/27 ≈ 0.034，C_δ ≈ 0.061。可通过运行python pipeline.py命令重新生成后验样本，运行时长约5分钟。该代码包依赖numpy、scipy、matplotlib库。