TL;DR
Top tagging is a novel jet analysis technique at the LHC that identifies boosted top quarks by analyzing fat jets and their substructure, bypassing the need to reconstruct individual decay products.
Contribution
This paper provides a comprehensive review of top tagging algorithms, their theoretical foundations, and experimental results, advancing the understanding of jet substructure analysis.
Findings
Different top tagging algorithms are discussed.
Critical QCD aspects of top tagging are analyzed.
Experimental results support the effectiveness of top tagging methods.
Abstract
Top tagging is a recent approach to identifying boosted hadronic top quarks. It avoids reconstructing individual top decay products and instead uses a jet algorithm to reconstruct the entire top decay. Quite generally, geometrically large jets including heavy particles (fat jets) can be analyzed on the level of their subjet constituents. LHC data will soon allow us to establish this new analysis method. We discuss different tagging algorithms, their critical QCD aspects, and currently available experimental results. For the development of taggers and their different applications this review should provide a firm theoretical and algorithmic background.
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