MicroBooNE Public Data Sets: a Collaborative Tool for LArTPC Software Development

被引:0
|
作者
Cerati, Giuseppe [1 ]
机构
[1] Fermilab Natl Accelerator Lab, Kirk & Pine St, Batavia, IL 60510 USA
关键词
D O I
10.1051/epjconf/202429508012
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Among liquid argon time projection chamber (LArTPC) experiments MicroBooNE is the one that continually took physics data for the longest time (2015-2021), and represents the state of the art for reconstruction and analysis with this detector. Recently published analyses include oscillation physics results, searches for anomalies and other BSM signatures, and cross section measurements. LArTPC detectors are being used in current experiments such as ICARUS and SBND, and being planned for future experiments such as DUNE. MicroBooNE has recently released to the public two of its data sets, with the goal of enabling collaborative software developments with other LArTPC experiments and with AI or computing experts. These data sets simulate neutrino interactions on top of off-beam data, which include cosmic ray background and noise. The data sets are released in two formats: the native art/ROOT format used internally by the collaboration and familiar to other LArTPC experts, and the HDF5 format which contains reduced and simplified content and is suitable for usage by the broader community. This contribution presents the open data sets, discusses their motivation, the technical implementation, and the extensive documentation - all inspired by FAIR principles. Finally, opportunities for collaborations are discussed.
引用
收藏
页数:8
相关论文
共 50 条
  • [41] Software development as a collaborative writing project
    Bussell, Brian
    Taylor, Stephen
    [J]. EXTREME PROGRAMMING AND AGILE PROCESSES IN SOFTWARE ENGINEERING, PROCEEDINGS, 2006, 4044 : 21 - 31
  • [42] Metrics Are Needed for Collaborative Software Development
    Mohtashami, Mojgan
    Ku, Cyril S.
    Marlowe, Thomas J.
    [J]. WMSCI 2011: 15TH WORLD MULTI-CONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL II, 2011, : 324 - 328
  • [43] An Advanced Collaborative Environment for Software Development
    Wanderley, Gregory Moro Puppi
    Abel, Marie-Helene
    Barthes, Jean-Paul
    Cabrera Paraiso, Emerson
    [J]. 2016 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2016, : 2917 - 2922
  • [44] Collaborative Learning in Software Development Teams
    Hale, Matthew
    Gamble, Rose
    Wilson, Kimberly
    Narayan, Anupama
    [J]. AMCIS 2011 PROCEEDINGS, 2011,
  • [45] Collaborative and social aspects of software development
    Good, Judith
    Romero, Pablo
    [J]. INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, 2008, 66 (07) : 481 - 483
  • [46] Interactive Java']Java graphics of network-distributed in situ data sets in a collaborative tool environment
    Denbo, DW
    Windsor, CR
    [J]. OCEANS '99 MTS/IEEE : RIDING THE CREST INTO THE 21ST CENTURY, VOLS 1-3, 1999, : 1076 - 1079
  • [47] Collaborative filtering algorithm for sparse data sets
    Dong, Li
    Xing, Chunxiao
    Wang, Kehong
    [J]. Qinghua Daxue Xuebao/Journal of Tsinghua University, 2009, 49 (10): : 1725 - 1728
  • [48] Towards a Unified Tool for Collaborative Software Engineering Projects
    Rochd, Amal
    Zrikem, Maria
    Jakjoud, Abdeslam
    Baron, Claude
    [J]. PROCEEDINGS OF 2015 THIRD IEEE WORLD CONFERENCE ON COMPLEX SYSTEMS (WCCS), 2015,
  • [49] Software Tool to Support the Improvement of the Collaborative Learning Process
    Delgado, Vanessa Agredo
    Ruiz, Pablo H.
    Collazos, Cesar A.
    Fardoun, Habib M.
    Noaman, Amin Y.
    [J]. ADVANCES IN COMPUTING, CCC 2017, 2017, 735 : 442 - 454
  • [50] Software Development and Tool Usability
    Dillon, Brian
    Thompson, Richard
    [J]. 2016 IEEE 24TH INTERNATIONAL CONFERENCE ON PROGRAM COMPREHENSION (ICPC), 2016,