Data-Driven, Geometry-Aware Optimal-Transport Calibration of Flavor Tagger

ArXi:2605.01363v1 Announce Type: cross Flavor-tagging calibrations are often provided either as scale factors measured at a finite set of working points or as binned corrections to a chosen one-dimensional discriminant. However, this approach falls short of providing continuous, event-level calibration across the full multicomponent outputs of modern taggers. This limitation leads to information loss in analyses that demand high-performance flavor tagging, restricting analyses to a limited set of predefined variables.