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Jet Tagging

Jet tagging is the process of identifying the type of elementary particle that initiates a "jet", i.e., a collimated spray of outgoing particles. It is essentially a classification task that aims to distinguish jets arising from particles of interest, such as the Higgs boson or the top quark, from other less interesting types of jets.

Papers

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Showing 1–10 of 45 papers

TitleStatusHype
Guided Graph Compression for Quantum Graph Neural NetworksCode0
Fast Jet Tagging with MLP-Mixers on FPGAs—0
Learning Symmetry-Independent Jet Representations via Jet-Based Joint Embedding Predictive Architecture—0
Interpreting Transformers for Jet TaggingCode0
Lie-Equivariant Quantum Graph Neural NetworksCode1
Lorentz-Equivariant Quantum Graph Neural Network for High-Energy Physics—0
Quantum Rationale-Aware Graph Contrastive Learning for Jet Discrimination—0
MACK: Mismodeling Addressed with Contrastive Knowledge—0
A multicategory jet image classification framework using deep neural network—0
Particle Multi-Axis Transformer for Jet Tagging—0
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