Speaker
Anna Benecke
(Universite Catholique de Louvain (UCL) (BE))
Description
We present results using an optimized jet clustering with variable R, where the jet distance parameter R depends on the mass and transverse momentum of the jet. The jet size decreases with increasing $p_{T}$, and increases with increasing mass. This choice is motivated by the kinematics of hadronic decays of highly Lorentz boosted top quarks, W, Z, and H bosons. The jet clustering features an inherent grooming with soft drop and a reconstruction of subjets in one sequence. These features have been implemented in the Heavy Object Tagger with Variable R (HOTVR) algorithm, which we use to study the performance of jet substructure tagging with different choices of grooming parameters and functional forms of R.
| Alternate track | 04. Top Quark and Electroweak Physics |
|---|---|
| I read the instructions above | Yes |
Primary authors
Anna Benecke
(Universite Catholique de Louvain (UCL) (BE))
Roman Kogler
(DESY (DE))
