Augmented Signal Processing in Liquid Argon Time Projection Chambers with a Deep Neural Network

Understand

The Liquid Argon Time Projection Chamber (LArTPC) is an advanced neutrino detector technology widely used in recent and upcoming accelerator neutrino experiments.

• It features a low energy threshold and high spatial resolution that allow for comprehensive reconstruction of event topologies.
• In current-generation LArTPCs, the recorded data consist of digitized waveforms on wires produced by induced signal on wires of drifting ionization electrons, which can also be viewed as two-dimensional (2D) (time versus wire) projection images of charged-particle trajectories.
• For such an imaging detector, one critical step is the signal processing that reconstructs the original charge projections from the recorded 2D images.