Design of the protoDUNE raw data management infrastructure

Fuess, S.; Illingworth, R.; Mengel, M.; Norman, A.; Potekhin, M.; Viren, B.

doi:10.1088/1742-6596/898/6/062036

Title: Design of the protoDUNE raw data management infrastructure

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Abstract

The Deep Underground Neutrino Experiment (DUNE) will employ a set of Liquid Argon Time Projection Chambers (LArTPC) with a total mass of 40 kt as the main components of its Far Detector. In order to validate this technology and characterize the detector performance at full scale, an ambitious experimental program (called “protoDUNE”) has been initiated which includes a test of the large-scale prototypes for the single-phase and dual-phase LArTPC technologies, which will run in a beam at CERN. The total raw data volume that is slated to be collected during the scheduled 3-month beam run is estimated to be in excess of 2.5 PB for each detector. This data volume will require that the protoDUNE experiment carefully design the DAQ, data handling and data quality monitoring systems to be capable of dealing with challenges inherent with peta-scale data management while simultaneously fulfilling the requirements of disseminating the data to a worldwide collaboration and DUNE associated computing sites. Here in this paper, we present our approach to solving these problems by leveraging the design, expertise and components created for the LHC and Intensity Frontier experiments into a unified architecture that is capable of meeting the needs of protoDUNE.

Authors:

Fuess, S. ^[1]; Illingworth, R. ^[1]; Mengel, M. ^[1]; Norman, A. ^[1]; Potekhin, M. ^[2]; Viren, B. ^[2]

Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
Brookhaven National Lab. (BNL), Upton, NY (United States)

Publication Date:: Sun Oct 01 00:00:00 EDT 2017

Research Org.:: Brookhaven National Lab. (BNL), Upton, NY (United States); Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)

Sponsoring Org.:: USDOE Office of Science (SC), High Energy Physics (HEP)

OSTI Identifier:: 1423236

Report Number(s):: FERMILAB-CONF-16-765-CD
Journal ID: ISSN 1742-6588; 1638164; TRN: US1801724

Grant/Contract Number:: AC02-07CH11359

Resource Type:: Accepted Manuscript

Journal Name:: Journal of Physics. Conference Series

Additional Journal Information:: Journal Volume: 898; Journal Issue: 6; Journal ID: ISSN 1742-6588

Publisher:: IOP Publishing

Country of Publication:: United States

Language:: English

Subject:: 71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS

Citation Formats


                    Fuess, S., Illingworth, R., Mengel, M., Norman, A., Potekhin, M., and Viren, B. Design of the protoDUNE raw data management infrastructure.  United States: N. p., 2017. 
Web.  doi:10.1088/1742-6596/898/6/062036.

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                    Fuess, S., Illingworth, R., Mengel, M., Norman, A., Potekhin, M., & Viren, B. Design of the protoDUNE raw data management infrastructure.  United States.  https://doi.org/10.1088/1742-6596/898/6/062036

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                    Fuess, S., Illingworth, R., Mengel, M., Norman, A., Potekhin, M., and Viren, B. Sun .  
"Design of the protoDUNE raw data management infrastructure".  United States.  https://doi.org/10.1088/1742-6596/898/6/062036.  https://www.osti.gov/servlets/purl/1423236.

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@article{osti_1423236,

  title        = {Design of the protoDUNE raw data management infrastructure},

  author       = {Fuess, S. and Illingworth, R. and Mengel, M. and Norman, A. and Potekhin, M. and Viren, B.},

  abstractNote = {The Deep Underground Neutrino Experiment (DUNE) will employ a set of Liquid Argon Time Projection Chambers (LArTPC) with a total mass of 40 kt as the main components of its Far Detector. In order to validate this technology and characterize the detector performance at full scale, an ambitious experimental program (called “protoDUNE”) has been initiated which includes a test of the large-scale prototypes for the single-phase and dual-phase LArTPC technologies, which will run in a beam at CERN. The total raw data volume that is slated to be collected during the scheduled 3-month beam run is estimated to be in excess of 2.5 PB for each detector. This data volume will require that the protoDUNE experiment carefully design the DAQ, data handling and data quality monitoring systems to be capable of dealing with challenges inherent with peta-scale data management while simultaneously fulfilling the requirements of disseminating the data to a worldwide collaboration and DUNE associated computing sites. Here in this paper, we present our approach to solving these problems by leveraging the design, expertise and components created for the LHC and Intensity Frontier experiments into a unified architecture that is capable of meeting the needs of protoDUNE.},

  doi          = {10.1088/1742-6596/898/6/062036},

  journal      = {Journal of Physics. Conference Series},

  number       = 6,

  volume       = 898,

  place        = {United States},

  year         = {Sun Oct 01 00:00:00 EDT 2017},

  month        = {Sun Oct 01 00:00:00 EDT 2017}

}

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