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SGL-Curvature-MCMC: a pipeline for cosmic-curvature inference from strong lensing with full supernova covariance propagation

Authors: HU, JIAN; Yi, Liu;

SGL-Curvature-MCMC: a pipeline for cosmic-curvature inference from strong lensing with full supernova covariance propagation

Abstract

First public release accompanying Hu & Liu (2026), "Joint Inference of Cosmic Curvature and Lens Density-Slope Evolution from Strong Lensing with Full Supernova Covariance Propagation" (manuscript AAS76952). Contents CosmoMatcher_v1.0.py — MILP-based SGL–SN pairing engine run_dual_validation_patched.py — main MCMC (DES-Dovekie exact pairing + Union3 GP), with the residual redshift-mismatch term folded into the SN covariance; reproduces Table 1 and Figure 1 residual_mismatch.py — residual redshift-mismatch quantification (Sec. 2.2) systematics_sensitivity.py — external-convergence (kappa_ext) sensitivity test (Sec. 3.3) run_planck_prior_check.py — Planck H0-prior cross-check (Sec. 3.1) kstest01.py — K–S consistency test (92 paired vs 130 parent sample) generate_dovekie_cov.py, cosmo_tools.py — covariance reconstruction & plotting Processed catalogs and covariance sub-blocks used in the analysis License: MIT.

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