CosmoMatcher: Automated Data Matching and Full Covariance Extraction Pipeline for SGL-SN Cosmology

This dataset contains the strictly matched SGL-SN pairs, their corresponding full systematic sub-covariance matrices (including the lens-source cross-covariance terms), and the comprehensive MCMC mock testing results. The data were extracted using CosmoMatcher, an automated Python pipeline developed to resolve the methodological gap of extracting sub-covariance matrices from high-dimensional datasets in multi-probe cosmology.