Speaker
LE COZ, Sandra
Description
GRAND is a UHE cosmic particles detection project, consisting in a giant, self-triggered, antenna array. Wherever we decide to setup the antennas, we will generally face a high rate of anthropic signals, orders of magnitude higher than the rate of extensive air showers. To avoid the saturation of the acquisition, we need to reject a significant part of the data at the antenna level, with a more sophisticated method than just a peak over baseline selection. We present here an attempt to discriminate air showers and anthropic radio time traces with a convolutional neural network, using experimental data rather than simulations. These data come from TREND, a self triggered 50 antennas-array, which was the seed project for GRAND.
Authors
Dr
Benoit-Lévy, Aurélien
(CEA)
LE COZ, Sandra
Martineau, Olivier
(CNRS)
