Speaker
Chandler Baynham Kenworthy
(University of Birmingham (GB))
Description
The first observation of the golden mode $K^+\to\pi^+\nu\bar{\nu}$ with a significance exceeding $5\sigma$ was recently achieved using data collected in 2016-2022 by the NA62 experiment at the CERN SPS. With the 2023-2024 dataset, double the sample size is expected with respect to the 2016-2022 dataset. For analysis of the latest data NA62 is exploring recent advancements in machine learning to improve sensitivity and background rejection. A new calorimetric particle identification algorithm utilising a combined dense and convolutional neural network is presented. Improved background rejection is achieved with an updated boosted decision tree.
Authors
Angela Romano
(University of Birmingham (GB))
Chandler Baynham Kenworthy
(University of Birmingham (GB))