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Two-Stage Machine Learning Strategy for Scalar and Vector Leptoquark Discrimination at the LHC
We present a machine learning framework for the characterization of leptoquark (LQ) signals at the Large Hadron Collider, focusing on the discrimination between scalar (SLQ) and vector (VLQ) hypotheses. The method is based on a two-stage inference pipeline that combines a classifier trained to separ
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