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October 9, 2025Open Access

Evolution of DUNE’s Production System

Key Points

DUNE's production system overhaul integrated new tools for workflow and data management, enhancing efficiency.
The system will handle 30 PB/year of data from detectors, ranging from 100 MB to 100 TB per readout session.
Distributed computing infrastructure supports data cataloging, storage, and processing worldwide for operational efficiency.
Simulations and data from ProtoDUNE serve as key tests for the new infrastructure, validating its capabilities.

Abstract

The DUNE experiment will start running in 2029 and record 30 PB/year of raw waveforms from Liquid Argon TPCs and photon detectors. The size of individual readouts can range from 100 MB to a typical 8 GB full readout of the detector, and even 100 TB for extended readouts from supernova candidates. These data then need to be cataloged, stored and distributed for processing worldwide. This massive amount of data and a heterogeneous computing environment necessitates a powerful and robust distributed computing infrastructure. In the process of building up that infrastructure, DUNE’s production system has recently undergone an overhaul, in which it has integrated 1) a new workflow management system (justIN) 2) a new data catalog (MetaCat) and 3) a state-of-the-art data management system (Rucio). Simulations of DUNE’s Far Detector and its prototypes ProtoDUNE Horizontal Drift (ProtoDUNE-HD) and ProtoDUNE Vertical Drift (ProtoDUNE-VD), as well as data from ProtoDUNE-HD serve as the first tests of this infrastructure.

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