Jet SIFT-ing: a new scale-invariant jet clustering algorithm for the substructure era
arXiv:2302.08609 · doi:10.1103/PhysRevD.108.016005
Abstract
We introduce a new jet clustering algorithm named SIFT (Scale-Invariant Filtered Tree) that maintains the resolution of substructure for collimated decay products at large boosts. The scale-invariant measure combines properties of kT and anti-kT by preferring early association of soft radiation with a resilient hard axis, while avoiding the specification of a fixed cone size. Integrated filtering and variable-radius isolation criteria block assimilation of soft wide-angle radiation and provide a halting condition. Mutually hard structures are preserved to the end of clustering, automatically generating a tree of subjet axis candidates. Excellent object identification and kinematic reconstruction for multi-pronged resonances are realized across more than an order of magnitude in transverse energy. The clustering measure history facilitates high-performance substructure tagging, which we quantify with the aid of supervised machine learning. These properties suggest that SIFT may prove to be a useful tool for the continuing study of jet substructure.
arXiv comment29 pages, 23 figures, 5 tables, and 5 films (ancillary files)
References in corpus (22)
- The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations
- The anti-k_t jet clustering algorithm
- An Introduction to PYTHIA 8.2
- FastJet user manual
- DELPHES 3, A modular framework for fast simulation of a generic collider experiment
- Dispelling the N^3 myth for the Kt jet-finder
- Successive Combination Jet Algorithm For Hadron Collisions
- Better Jet Clustering Algorithms
- Jet substructure as a new Higgs search channel at the LHC
- Identifying Boosted Objects with N-subjettiness
- Soft Drop
- The Catchment Area of Jets
- Jet Trimming
- N-Jettiness: An Inclusive Event Shape to Veto Jets
- Pileup Per Particle Identification
- Recombination Algorithms and Jet Substructure: Pruning as a Tool for Heavy Particle Searches
- Principles of general final-state resummation and automated implementation
- Scale-invariant resonance tagging in multijet events and new physics in Higgs pair production
- Recursive Soft Drop
- XCone: N-jettiness as an Exclusive Cone Jet Algorithm
- A new tagger for hadronically decaying heavy particles at the LHC
- Resolving Boosted Jets with XCone