| Abstract |
Roman’s first two years of public Wide Field Instrument imaging will open a powerful new discovery space for galaxy-scale strong lenses. This program will build a calibrated, survey-scale lens-discovery engine for public Roman data, focused on doubles, quads, rings, and other galaxy-scale strong-lens configurations in HLWAS imaging and associated catalogs, with opportunistic use of eligible early time-domain products when available. The goal is not simply to rank candidates, but to deliver a statistically useful community resource: vetted candidate catalogs, benchmark cutout sets, uncertainty estimates, and calibrated selection-function products for downstream science. The scientific payoff is broad. A homogeneous Roman lens sample will enable studies of dark-matter substructure, lens demographics, rare high-magnification systems, and magnified high-redshift sources. The methodological payoff is equally important: Roman provides the ideal setting to move beyond first-generation CNN-only lens searches toward a hybrid discovery architecture that combines high-recall candidate generation, foundation-model reranking, structured expert vetting, and injection-recovery calibration. Public Euclid results already show that survey-scale lens mining is feasible, but also that human review becomes the dominant bottleneck at large scale. By concentrating true lenses into a smaller top-ranked subset, the proposed approach is designed to reduce expert-vetting cost while preserving scientific completeness and interpretability. The resulting products will turn early Roman public imaging into a calibrated strong-lens discovery resource for the community. |