Reconstruction of boosted and resolved multi-Higgs-boson events with symmetry-preserving attention networks
Haoyang Li, Marko Stamenkovic, Alexander Shmakov, Michael Fenton, Darius Shih-Chieh Chao, Kaitlyn Maiya White, Caden Mikkelsen, Jovan Mitic, Cristina Mantilla Suarez, Melissa Quinnan, Greg Landsberg, Harvey Newman, Pierre Baldi, Daniel Whiteson, Javier Duarte

TL;DR
This paper introduces a generalized symmetry-preserving attention network that improves the reconstruction of multi-Higgs-boson events at the LHC by effectively handling both boosted and resolved jet topologies, enhancing purity and efficiency.
Contribution
It extends the SPA-Net approach to simultaneously consider boosted and resolved Higgs reconstruction, unambiguously classifying event topologies and improving performance.
Findings
Increases Higgs reconstruction purity by 57-62%.
Enhances reconstruction efficiency by 23-38%.
Demonstrates improved performance on nonresonant HH and HHH production.
Abstract
The production of multiple Higgs bosons at the CERN LHC provides a direct way to measure the trilinear and quartic Higgs self-interaction strengths as well as potential access to beyond the standard model effects that can enhance production at large transverse momentum . The largest event fraction arises from the fully hadronic final state in which every Higgs boson decays to a bottom quark-antiquark pair (). This introduces a combinatorial challenge known as the \emph{jet assignment problem}: assigning jets to sets representing Higgs boson candidates. Symmetry-preserving attention networks (SPA-Nets) have been been developed to address this challenge. However, the complexity of jet assignment increases when simultaneously considering both reconstruction possibilities, i.e., two "resolved" small-radius jets each containing a shower…
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Taxonomy
TopicsComputational Physics and Python Applications · Particle physics theoretical and experimental studies · Scientific Computing and Data Management
MethodsSoftmax · Attention Is All You Need
