Speaker
Joel Walker
(Sam Houston State University)
Description
We describe a new scale-invariant jet clustering algorithm which does not impose a fixed cone size on the event. The proposed construction unifies fat-jet finding, substructure axis-finding, and recursive filtering of soft wide-angle radiation into a single procedure. The sequential clustering measure history facilitates high-performance substructure tagging with a boosted decision tree. Excellent object discrimination is maintained for highly-boosted partonic systems, while asymptotically recovering favorable behaviors of both the standard KT anti-KT algorithms.
Primary author
Joel Walker
(Sam Houston State University)
Co-authors
Andrew Larkoski
(SLAC National Accelerator Laboratory)
Dr
Denis Rathjens
(Texas A & M University (US))
Jason Robert Veatch
(California State University (US))
