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  • 2210.15665v1

    Final published version, 16.7 MB, PDF document

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DUNE Offline Computing Conceptual Design Report

Research output: Working paper › Preprint

Published

Standard

DUNE Offline Computing Conceptual Design Report. / DUNE Collaboration ; Blake, Andrew; Brailsford, Dominic et al.
2022.

Research output: Working paper › Preprint

Harvard

DUNE Collaboration, Blake, A, Brailsford, D, Cross, R, Mouster, G, Nowak, J & Ratoff, P 2022 'DUNE Offline Computing Conceptual Design Report'.

APA

DUNE Collaboration, Blake, A., Brailsford, D., Cross, R., Mouster, G., Nowak, J., & Ratoff, P. (2022). DUNE Offline Computing Conceptual Design Report.

Vancouver

DUNE Collaboration, Blake A, Brailsford D, Cross R, Mouster G, Nowak J et al. DUNE Offline Computing Conceptual Design Report. 2022 Oct 28.

Author

DUNE Collaboration ; Blake, Andrew ; Brailsford, Dominic et al. / DUNE Offline Computing Conceptual Design Report. 2022.

Bibtex

@techreport{7547cd055f774cf4b877a7110efcb3b4,
title = "DUNE Offline Computing Conceptual Design Report",
abstract = " This document describes the conceptual design for the Offline Software and Computing for the Deep Underground Neutrino Experiment (DUNE). The goals of the experiment include 1) studying neutrino oscillations using a beam of neutrinos sent from Fermilab in Illinois to the Sanford Underground Research Facility (SURF) in Lead, South Dakota, 2) studying astrophysical neutrino sources and rare processes and 3) understanding the physics of neutrino interactions in matter. We describe the development of the computing infrastructure needed to achieve the physics goals of the experiment by storing, cataloging, reconstructing, simulating, and analyzing $\sim$ 30 PB of data/year from DUNE and its prototypes. Rather than prescribing particular algorithms, our goal is to provide resources that are flexible and accessible enough to support creative software solutions and advanced algorithms as HEP computing evolves. We describe the physics objectives, organization, use cases, and proposed technical solutions. ",
keywords = "physics.data-an, hep-ex, physics.ins-det",
author = "{DUNE Collaboration} and Andrew Blake and Dominic Brailsford and Ryan Cross and Gwenn Mouster and Jaroslaw Nowak and Peter Ratoff",
note = "229 pages, 67 figures",
year = "2022",
month = oct,
day = "28",
language = "English",
type = "WorkingPaper",

}

RIS

TY - UNPB

T1 - DUNE Offline Computing Conceptual Design Report

AU - DUNE Collaboration

AU - Blake, Andrew

AU - Brailsford, Dominic

AU - Cross, Ryan

AU - Mouster, Gwenn

AU - Nowak, Jaroslaw

AU - Ratoff, Peter

N1 - 229 pages, 67 figures

PY - 2022/10/28

Y1 - 2022/10/28

N2 - This document describes the conceptual design for the Offline Software and Computing for the Deep Underground Neutrino Experiment (DUNE). The goals of the experiment include 1) studying neutrino oscillations using a beam of neutrinos sent from Fermilab in Illinois to the Sanford Underground Research Facility (SURF) in Lead, South Dakota, 2) studying astrophysical neutrino sources and rare processes and 3) understanding the physics of neutrino interactions in matter. We describe the development of the computing infrastructure needed to achieve the physics goals of the experiment by storing, cataloging, reconstructing, simulating, and analyzing $\sim$ 30 PB of data/year from DUNE and its prototypes. Rather than prescribing particular algorithms, our goal is to provide resources that are flexible and accessible enough to support creative software solutions and advanced algorithms as HEP computing evolves. We describe the physics objectives, organization, use cases, and proposed technical solutions.

AB - This document describes the conceptual design for the Offline Software and Computing for the Deep Underground Neutrino Experiment (DUNE). The goals of the experiment include 1) studying neutrino oscillations using a beam of neutrinos sent from Fermilab in Illinois to the Sanford Underground Research Facility (SURF) in Lead, South Dakota, 2) studying astrophysical neutrino sources and rare processes and 3) understanding the physics of neutrino interactions in matter. We describe the development of the computing infrastructure needed to achieve the physics goals of the experiment by storing, cataloging, reconstructing, simulating, and analyzing $\sim$ 30 PB of data/year from DUNE and its prototypes. Rather than prescribing particular algorithms, our goal is to provide resources that are flexible and accessible enough to support creative software solutions and advanced algorithms as HEP computing evolves. We describe the physics objectives, organization, use cases, and proposed technical solutions.

KW - physics.data-an

KW - hep-ex

KW - physics.ins-det

M3 - Preprint

BT - DUNE Offline Computing Conceptual Design Report

ER -