Bereiche | Tage | Auswahl | Suche | Aktualisierungen | Downloads | Hilfe

T: Fachverband Teilchenphysik

T 24: Higgs Physics III (boson final states)

T 24.6: Vortrag

Dienstag, 1. April 2025, 17:30–17:45, ZHG104

Quantum tomography using machine learning to infer incomplete information in H→ WW→ℓνℓν — Carsten Burgard¹, Vince Croft², Andre Sopczak³, •Andrii Vak³, and Lennart Völz¹ — ¹TU Dortmund University — ²Leiden University — ³Czech Technical University in Prague

Potential entanglement originating from the scalar nature of the Higgs boson can translate to variables that could be accessible at collider experiments such as ATLAS at the LHC. The entanglement is mediated through the parity violation from weak decay vertices, affecting for example the angular properties of the dilepton system in H→ WW→ℓνℓν decays. Thus, the analysis of multiple neutrinos in the final state is interesting for quantum tomography measurements. This study uses advanced machine learning methods for regression and inference of missing kinematic information.

Keywords: quantum entanglement; Higgs boson decay; missing energy; collider experiments