DUNE Offline Computing (Conceptual Design Report)

Abud, A. Abed

doi:10.2172/1895403

Cited by 4 publications

(2 citation statements)

References 88 publications

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“…The DUNE DAQ [2] is organised in six entities: Each subsystem has different hardware provisioning. The DAQ structure is represented in Figure 3.…”

Section: Dune Daqmentioning

confidence: 99%

Kubernetes for the Deep Underground Neutrino Experiment Data Acquisition

Lasorak,

Alves,

Crone

et al. 2024

EPJ Web of Conf.

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The Deep Underground Neutrino Experiment (DUNE) is a next-generation long-baseline neutrino experiment based in the USA which is expected to start taking data in 2029. DUNE aims to precisely measure neutrino oscillation parameters by detecting neutrinos from the LBNF beamline (Fermilab) at the Far Detector, 1,300 kilometres away, in South Dakota at the Sanford Underground Research Facility. The Far Detector will consist of four cryogenic Liquid Argon Time Projection Chamber detectors of 17 kT, each producing more than 1 TB/sec of data. The main requirements for the data acquisition system are the ability to run continuously for extended periods of time, with a 99% up-time requirement, and the functionality to record both beam neutrinos and low energy neutrinos from the explosion of a neighbouring supernova, should one occur during the lifetime of the experiment. The key challenges are the high data rates that the detectors generate and the deep underground environment, which places constraints on power and space. To overcome these challenges, DUNE plans to use a highly optimised C++ software suite and a server farm of about 110 nodes continuously running about two hundred multicore processes located close to the detector, 1.5 kilometres underground. Thirty nodes will be at the surface and will run around two hundred processes simultaneously. DUNE is studying the use of the Kubernetes framework to manage containerised workloads and take advantage of its resource definitions and high up-time services to run the DAQ system. Progress in deploying these systems at the CERN neutrino platform on the prototype DUNE experiments is reported.

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“…The DUNE DAQ [2] is organised in six entities: Each subsystem has different hardware provisioning. The DAQ structure is represented in Figure 3.…”

Section: Dune Daqmentioning

confidence: 99%

Kubernetes for the Deep Underground Neutrino Experiment Data Acquisition

Lasorak,

Alves,

Crone

et al. 2024

EPJ Web of Conf.

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“…The DUNE experiment has formulated a list of offline framework requirements [6] based on the physics goals mentioned above. Some of those requirements state that:…”

Section: Introductionmentioning

confidence: 99%

Meld Exploring the Feasibility of a Framework-less Framework

Knoepfel

2024

EPJ Web of Conf.

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HEP data-processing frameworks are essential ingredients in getting from raw data to physics results. But they are often tricky to use well, and they present a significant learning barrier for the beginning HEP physicist. In addition, existing frameworks typically support rigid, collider-based data models, which do not map well to neutrino-physics experiments like DUNE. Neutrino physicists thus expend significant effort working around framework limitations instead of using a framework that directly supports their needs. Presented here is Meld, a Fermilab R&D project, which intends to address these limitations. By leveraging modern C++ capabilities, state-of-the-art concurrency libraries, and a flexible data model, it is possible for beginning (and seasoned) HEP physicists to execute framework programs easily and efficiently, with minimal coupling to framework-specific constructs. Meld aims to directly support the frameworks needs of neutrino experiments like DUNE as well as the more common collider-based experiments.

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Low-energy physics in neutrino LArTPCs

Caratelli¹,

Foreman²,

Friedland³

et al. 2023

J. Phys. G: Nucl. Part. Phys.

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In this paper, we review scientific opportunities and challenges related to detection and reconstruction of low-energy (less than 100 MeV) signatures in liquid argon time-projection chamber (LArTPC) neutrino detectors. LArTPC neutrino detectors designed for performing precise long-baseline oscillation measurements with GeV-scale accelerator neutrino beams also have unique sensitivity to a range of physics and astrophysics signatures via detection of event features at and below the few tens of MeV range. In addition, low-energy signatures are an integral part of GeV-scale accelerator neutrino interaction final-states, and their reconstruction can enhance the oscillation physics sensitivities of LArTPC experiments. New physics signals from accelerator and natural sources also generate diverse signatures in the low-energy range, and reconstruction of these signatures can increase the breadth of Beyond the Standard Model scenarios accessible in LArTPC-based searches. A variety of experimental and theory-related challenges remain to realizing this full range of potential benefits. Neutrino interaction cross-sections and other nuclear physics processes in argon relevant to sub-hundred-MeV LArTPC signatures are poorly understood, and improved theory and experimental measurements are needed; pion decay-at-rest sources and charged particle and neutron test beams are ideal facilities for improving this understanding. There are specific calibration needs in the low-energy range, as well as specific needs for control and understanding of radiological and cosmogenic backgrounds. Low-energy signatures, whether steady-state or part of a supernova burst or larger GeV-scale event topology, have specific triggering, DAQ and reconstruction requirements that must be addressed outside the scope of conventional GeV-scale data collection and analysis pathways. Novel concepts for future LArTPC technology that enhance low-energy capabilities should also be explored to help address these challenges.

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DUNE Offline Computing (Conceptual Design Report)

Abstract: The ProtoDUNE-SP and ProtoDUNE-DP detectors were constructed and operated on the CERN Neutrino Platform. We gratefully acknowledge the support of the CERN management, and the CERN EP, BE, TE, EN and IT Departments for NP04/ProtoDUNE-SP.

Cited by 4 publications

References 88 publications

Kubernetes for the Deep Underground Neutrino Experiment Data Acquisition

Kubernetes for the Deep Underground Neutrino Experiment Data Acquisition

Meld Exploring the Feasibility of a Framework-less Framework

Low-energy physics in neutrino LArTPCs

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