Dortmund 2021 – scientific programme

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T: Fachverband Teilchenphysik

T 8: Top quark production I

T 8.10: Talk

Monday, March 15, 2021, 18:15–18:30, Th

Using Machine Learning Techniques to Probe the Interference Between tW and tt — •Federico G. Diaz Capriles and Ian C. Brock — Physikalisches Institut, Bonn

The production of two W-bosons in conjunction with two b-quarks (WWbb) is not only the signature of top-quark pair production (tt) but also single top-quark production in association with a W-boson (tW) at the next-to-leading-order. The modeling difficulty of the interference between these two processes becomes a significant systematic uncertainty in a differential cross-section measurement.

A machine learning approach is used in order to study the interference in depth. The network is trained to pick out differences between a mixed Monte Carlo sample of tW and interference against a Monte Carlo sample of only tW. The resulting classifier is expected to differentiate between interference-like and tW-like events. This classification can aid in the scrutiny of the modeling of the interference-inclusive Monte Carlo.