Speaker
Description
The Deep Underground Neutrino Experiment (DUNE), hosted by the U.S. Department of Energy’s Fermilab, is expected to begin operations in the late 2020s. The primary physics goals of the experiment include studying neutrino oscillations, detecting and measuring the νe flux from supernova bursts, and searching for physics beyond the Standard Model. In preparation of DUNE, we are building prototype detectors, such as, ProtoDUNE Horizontal Drift (HD) and ProtoDUNE Vertical Drift (VD). Recently, these experiments have begun using the Hierarchical Data Format (HDF5) for some of its data storage applications. DUNE will use HDF5 to record raw data from the ProtoDUNE HD and ProtoDUNE VD. Dedicated I/O modules have been developed to read the HDF5 data from these detectors into the offline framework for reconstruction directly. The recent DAQ produced HDF5 files from HD coldbox are being tested with the ProtoDUNE HD reconstruction chain in preparation of ProtoDUNE-II data taking, processing and analyzing. ProtoDUNE reconstruction strategy runs Wirecell module for pedestal evaluation, charge Calibration, mitigation of readout issues, tail removal, noise suppression and signal processing. The ProtoDUNE reconstruction software contains modules that export data from an offline job in HDF5 format, so that they can be processed by external AI/ML software. The collaboration is also developing strategies for efficient processing of DUNE data as it requires careful attention to data formats and redesign of the processing framework to allow sequential processing of chunks of data.
