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UID:submissions.pasc-conference.org_PASC23_sess169_msa158@linklings.com
SUMMARY:Lessons Learned Deploying Galaxy at a Neutron Scattering Facility
DESCRIPTION:Minisymposium\n\nSergey Yakubov, Gregory Cage, and Gregory Wat
 son (Oak Ridge National Laboratory)\n\nOak Ridge National Laboratory (ORNL
 ) seeks to answer big science questions about the fundamental nature of ma
 terials at the atomic scale. It does this using two of the most advanced n
 eutron scattering facilities in the world: the High Flux Isotope Reactor (
 HFIR) and the Spallation Neutron Source (SNS). The efficient analysis of n
 eutron scattering data is essential to achieving this mission. We are curr
 ently halfway through a three-year project to develop a platform that will
  enable the creation of an ecosystem of scientific data analysis applicati
 ons. We are leveraging the Galaxy platform to create <em>Calvera</em>, a d
 ata analysis platform that will form the central component of a neutron sc
 ience application ecosystem. In this talk, we will outline how we have bee
 n working to overcome the many challenges we face to achieve this goal. We
  will discuss the data management and computational resource requirements 
 necessary to effectively analyze our data, as well as detail some of the u
 nique aspects of the neutron scattering data analysis environment. Finally
 , we will show how we have incorporated all this into an environment that 
 employs a seamless approach to meeting the neutrons data analysis needs of
  the laboratory.\n\nDomain: Computer Science, Machine Learning, and Applie
 d Mathematics &#8232;\n\nSession Chair: Gregory Watson (Oak Ridge National Labor
 atory)
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