Jun 25 – 28, 2024
ETH Zurich
Europe/Zurich timezone

Convolutional Neural Network for track reconstruction and PID in the HA-TPC of ND280 upgrade

Jun 27, 2024, 3:00 PM
15m
HCI J4 (ETH Zurich)

HCI J4

ETH Zurich

ETH Zürich, Hönggerberg campus, Stefano-​​Franscini-​Platz 5, 8093 Zurich, Switzerland.

Speaker

Anaelle Chalumeau (LPNHE)

Description

The T2K near detector ND280 is currently being upgraded to prepare the second phase of data taking T2K-II, with the purpose of confirming at 3σ level if CP symmetry is conserved or violated in the neutrino oscillations. For this upgrade, new detectors are currently being installed including so-called High-Angle Time Projection Chambers. They are instrumented with Encapsulated Resistive MicroMegas detectors as readout plane which are used to spread the charge on several pads thus allowing for a better reconstruction of the track position.
To take benefit of this feature, a new reconstruction algorithm was developed using the ResNet50 Convolutional Neural Network to extract the track parameters and perform particle identification. This technique was trained and tested on simulations proving the capabilities of the CNN to reconstruct the particles momentum and perform particle identification.

Type of contribution Talk: 15 minutes.

Primary author

Presentation materials