Boosted Top Tagging Method Overview

Abstract

We briefly review common tools and methods to identify boosted, hadronically decaying top quarks at the LHC experiments. This includes generic jet substructure variables, specific top identification algorithms, and recent developments in deep learning techniques.

TOP 2017 Conference Proceedings, 6 pages

References in corpus (5)

• A measurement of the soft-drop jet mass in pp collisions at $\sqrt{s}=13$ TeV with the ATLAS detector
• The jet mass distribution after Soft Drop
• Jet Constituents for Deep Neural Network Based Top Quark Tagging
• Long Short-Term Memory (LSTM) networks with jet constituents for boosted top tagging at the LHC
• Boosting the Standard Model Higgs Signal with the Template Overlap Method

Cited by in corpus (1)

• Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model