Jumping into buckets, or How to decontaminate overlapping fat jets
Koichi Hamaguchi, Seng Pei Liew, Martin Stoll

TL;DR
This paper introduces a novel jet tagging method using the mass-jump algorithm and bucket collection to improve identification of boosted resonances in complex LHC events, enabling better reconstruction of top quarks, Higgs bosons, and vectorlike top partners.
Contribution
It proposes a new jet tagging and reconstruction approach based on the mass-jump algorithm and bucket method, enhancing performance in high-multiplicity environments.
Findings
Better tagging of boosted resonances than generalized $k_T$ algorithm.
Effective reconstruction of top quarks, Higgs bosons, and vectorlike top partners.
Accurate mass measurement of vectorlike top partners.
Abstract
At the LHC, tagging boosted heavy particle resonances which decay hadronically, such as top quarks and Higgs bosons, can play an essential role in new physics searches. In events with high multiplicity, however, the standard approach to tag boosted resonances by a large-radius fat jet becomes difficult because the resonances are not well-separated from other hard radiation. In this paper, we propose a different approach to tag and reconstruct boosted resonances by using the recently proposed mass-jump jet algorithm. A key feature of the algorithm is the flexible radius of the jets, which results from a terminating veto that prevents the recombination of two hard prongs if their combined jet mass is substantially larger than the masses of the separate prongs. The idea of collecting jets in "buckets" is also used. As an example, we consider the fully hadronic final state of pair-produced…
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.
