Deep neural networks for energy and position reconstruction in EXO-200
Deep neural networks for energy and position reconstruction in EXO-200
We apply deep neural networks (DNN) to data from the EXO-200 experiment. In the studied cases, the DNN is able to reconstruct the relevant parameters—total energy and position—directly from raw digitized waveforms, with minimal exceptions. For the first time, the developed algorithms are evaluated on real detector calibration data. The …