Expanding the user base beyond HEP for the Ganga distributed analysis user interface

R. Currie, U. Egede, A. Richards, M. Slater, M. Williams

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This document presents the result of recent developments within Ganga[1] project to support users from new communities outside of HEP. In particular I will examine the case of users from the Large Scale Survey Telescope (LSST) group looking to use resources provided by the UK based GridPP[2][3] DIRAC[4][5] instance. An example use case is work performed with users from the LSST Virtual Organisation (VO) to distribute the workflow used for galaxy shape identification analyses. This work highlighted some LSST specific challenges which could be well solved by common tools within the HEP community. As a result of this work the LSST community was able to take advantage of GridPP[2][3] resources to perform large computing tasks within the UK.

Original languageEnglish
Title of host publicationJournal of Physics: Conference Series
Subtitle of host publication22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016; San Francisco Marriott Marquis Hotel San Francisco; United States; 10 October 2016 through 14 October 2016
Place of PublicationItaly
PublisherIOP Publishing
Number of pages5
Publication statusPublished - 23 Nov 2017
Externally publishedYes
EventInternational Conference on Computing in High Energy and Nuclear Physics, 2016 - San Francisco Marriott Marquis, San Francisco, United States of America
Duration: 10 Oct 201614 Oct 2016
Conference number: 22nd

Publication series

NameJournal of Physics: Conference Series
PublisherIOP Publishing
ISSN (Print)1742-6588
ISSN (Electronic)1742-6596


ConferenceInternational Conference on Computing in High Energy and Nuclear Physics, 2016
Abbreviated titleCHEP 2016
CountryUnited States of America
CitySan Francisco
OtherThe CHEP conferences address challenges in computing, networking and software for the world's leading data-intensive science experiments that currently analyze hundreds of petabytes of data using worldwide computing resources.
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