Current Status - grasseau/HAhRD GitHub Wiki

Preliminary methods, like the clustering process have been tested to tackle this challenge by gathering hits (energy deposit) into clusters. This algorithm fails to treat and classify a lot of isolated hits.

In 2018, a new approach using Convolutional Neural Network (CNN) has been used in GSOC'18 program. The aims of the proposal was to classify simple event (with only one cluster) and reconstruct the energy and its position of the incoming particle in HGCAL detector. Base on the AlexNet model generalized to "3D images", implementing the model was an heavy task. Finally, the first successful results was obtained on summer. For more, please read the GSOC'18 proposal.