On Building Better Cone Jet Algorithms
S.D. Ellis (University of Washington), J. Huston (Michigan State, University), M. Toennesmann (Max-Planck-Institut)
TL;DR
This paper reviews recent advances in cone jet algorithms, focusing on understanding key issues to improve their performance in particle physics analyses.
Contribution
It provides a comprehensive discussion on the challenges and recent progress in developing more effective cone jet algorithms.
Findings
Enhanced understanding of cone jet algorithm issues
Identification of key challenges in algorithm development
Progress towards more accurate jet reconstruction
Abstract
We discuss recent progress in understanding the issues essential to the development of better cone jet algorithms.
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Taxonomy
TopicsGuidance and Control Systems · Air Traffic Management and Optimization