Boosted top: new algorithms and perspectives
Julien Caudron (for the ATLAS, CMS Collaborations)
TL;DR
This paper reviews recent advancements in boosted top-quark tagging techniques at the LHC, highlighting new algorithms and perspectives that enhance top-quark identification in high-energy physics experiments.
Contribution
It provides a comprehensive overview of the latest algorithms and developments in boosted top-tagging used by ATLAS and CMS collaborations.
Findings
Improved top-tagging algorithms increase identification efficiency.
Recent developments enhance background rejection capabilities.
The review summarizes key perspectives and future directions in boosted top physics.
Abstract
Studies of the boosted sector in top-quark physics have known a fast-growing development with the arrival of high-energy data at LHC. This short review summarizes the current status of the boosted top-tagging techniques in ATLAS and CMS and presents an overview of some of the most noticeable developments.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsParticle physics theoretical and experimental studies · Particle Detector Development and Performance · High-Energy Particle Collisions Research