Reconstruction of Unstable Heavy Particles Using Deep Symmetry-Preserving Attention Networks

arXiv:2309.01886v3 Announce Type: replace-cross
Abstract: Reconstructing unstable heavy particles requires sophisticated techniques to sift through the large number of possible permutations for assignment of detector objects to the underlying partons. Anapproach based on a generalized attention mechanism, symmetry preserving attention networks (SPA-NET), has been previously applied to top quark pair decays at the Large Hadron Collider which produce only hadronic jets. Here we extend the SPA-NET architecture to consider multiple input object types, such as leptons, as well as global …

abstract arxiv attention cs.lg generalized hep-ex hep-ph networks objects permutations sift spa symmetry through type