4–8 Nov 2024
LPNHE, Paris, France
Europe/Paris timezone

Hadronic Top Quark Polarimetry with ParticleNet

6 Nov 2024, 10:50
20m
Amphi Charpak

Amphi Charpak

Speaker

Zhongtian Dong (University of Kansas)

Description

Observables sensitive to top quark polarization are important for characterizing and discovering new physics. The most powerful spin analyzer in the top decay is the down-type fermion from the W, which in the case of leptonic decay allows for very clean measurements. However, in many applications, it is useful to measure the polarization of hadronically decaying top quarks via an optimal hadronic spin analyzer. In this talk, we introduce and use subjet flavor tagging to significantly improve spin analyzing power in hadronic decays beyond exclusive kinematic information employed in previous studies. We provide parametric estimates of the improvement from flavor tagging with any set of measured observables and demonstrate this in practice on simulated data using a Graph Neural Network (GNN).

Track Tagging (Classification)

Authors

Alberto Navarro (Oklahoma State University) Andrew Larkoski (UCLA) K.C. Kong Zhongtian Dong (University of Kansas) dorival Gonçalves (Oklahoma State University)

Presentation materials