May 16 – 19, 2023
Texas A&M University
US/Central timezone

Jet SIFT-ing: a new scale-invariant jet clustering algorithm for the substructure era

May 17, 2023, 5:05 PM
Hawking Auditorium (Texas A&M University)

Hawking Auditorium

Texas A&M University


Prof. Joel Walker (Sam Houston State University)


We describe 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.

Primary authors

Andrew Larkoski (UCLA) Denis Rathjens (Texas A & M University (US)) Jason Robert Veatch (California State University (US)) Prof. Joel Walker (Sam Houston State University)

Presentation materials