IN2P3 Machine Learning workshop

Neural Network Tracking for LHCb Vertex Detector

29 mars 2018, 10:45

20m

Amphi (CC-IN2P3)

Orateur

Da Yu Tou (Centre National de la Recherche Scientifique (FR))

Description

The LHCb experiment is scheduled for an upgrade at the end of 2018. In 2021, it has to collect data at collisions rate of 40MHz and an average of 5-6 PVs per event from 1MHz and 1-2 PVs per event today. We present an approach of using deep learning to reconstruct particle tracks in the vertex subdetector of LHCb, the Vertex Locator (VELO).

Documents de présentation

Neural Network Tracking for LHCb Vertex Detector.pdf