DUNE Far Detector simulation and reconstruction tools developed and tested

We will develop new software tools to exploit the imaging features of the DUNE Far Detectors, including the LArSoft software for event reconstruction in LAr-TPCs by using Deep Learning techniques and by improving particle identification capabilities of the detector. The complementarity between the charge and light signals generated in LAr-TPCs makes it clear that combining the information from both offers the potential to significantly improve the reconstruction performance. This approach must be demonstrated on large scale detectors (like DUNE) and extended to exploit also the information contained in the arrival time distribution of light signals.