Redshift Assessment Infrastructure Layers (RAIL): Rubin-era photometric redshift stress-testing and at-scale production
RAIL is an open-source Python library for at-scale probabilistic photo-z estimation, designed to stress-test and produce photo-z data products for extragalactic science. It provides tools for creating realistic mock data, testing various estimation algorithms against systematic errors, and evaluating performance using comprehensive statistical metrics.