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

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.