Self-Supervised Learning for Robust Resonance Mass Regression in Cascade Decays
Reconstructing the mass of a heavy resonance from its decay products with missing energy is one of the central tasks that directly determine the sensitivity in new physics searches at collider experiments. Supervised learning approaches to this problem often struggle to generalize well due to the presence of various sy...
Ho-Fung Tsoi, Alex Yang, L. F. G. Zagazeta et al.
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