15th International Workshop on Boosted Object Phenomenology, Reconstruction, Measurements, and Searches at Colliders

Mass aware jet clustering with Variable-R and a soft drop veto

3 Aug 2023, 16:20

20m

Auditorium (50)

Advanced Taggers

Speaker

Anna Benecke (UC Louvain)

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 $p_T$ 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 $R$.

Presentation materials

20230803_HOTVR_AnnaBenecke.pdf