Hollow cone sieve for top tagging
Vernon Barger, Peisi Huang
TL;DR
This paper introduces a novel 'hollow cone' jet tagging method that effectively distinguishes top quark events from QCD background at the LHC by analyzing jet substructure using the anti-kt algorithm.
Contribution
The paper presents a new top tagging technique utilizing a hollow cone approach with jet substructure analysis to improve top quark identification.
Findings
Successfully distinguishes tt events from QCD dijets
Effective at LHC 7 TeV energy level
Uses jet substructure for top tagging
Abstract
A method of top tagging is introduced. Using the anti-kt algorithm to define jets, events with nj = 2 fat jets of cone size R = 1.5 are decomposed into R = 0.6 sub-jets and retained if nj (R= 0.6) \geq 4 . One pair of sub-jets reconstructs the W-mass and another jet is tagged as a b-jet, as necessary for hadronic or semileptonic events of tt origin. This 'hollow cone' method distinguishes the tt events from the light parton QCD dijet events. Our simulations are made for the LHC at 7 TeV.
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
TopicsSoft tissue tumor case studies · Particle physics theoretical and experimental studies · Black Holes and Theoretical Physics