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UID:submissions.pasc-conference.org_PASC23_sess169_msa221@linklings.com
SUMMARY:Transitioning Existing Data Reduction Workflows at the Cornell Hig
 h Energy Synchrotron Source to Galaxy
DESCRIPTION:Minisymposium\n\nRolf Verberg, Kelly Nygren, Keara Soloway, Va
 lentin Kuznetsov, and Werner Sun (Cornell University, CHESS)\n\nThe X-ray 
 Imaging of Microstructures Gateway (XIMG) has been developed for the struc
 tural materials community at the Cornell High Energy Synchrotron Source (C
 HESS). High energy synchrotron X-ray diffraction and imaging techniques co
 ntinue to push the limits of what can be captured spatially and temporally
  in evolving microstructures, leading to massive datasets (>TBs) and compl
 ex data reduction and analysis workflows. Most first-time users are not pr
 epared for the magnitude of scientific computing expertise required to com
 plete data reduction and analysis in this field. By adopting the Galaxy-ba
 sed Science Gateway framework, this barrier can be reduced so scientists c
 an focus on what the software is doing, rather than how it is doing it. We
  will demonstrate our effort on transitioning existing data reduction and 
 analysis workflows to process synchrotron data into the Galaxy framework. 
 This work is part of a restructuring of current software from dedicated sc
 ripts, often highly customized to a specific experiment or beam line, to o
 ne that is composed of individual, loosely coupled, components that can be
  reused and combined into data reduction pipelines. In addition to lowerin
 g barriers, this pipeline concept facilitates tracking data reduction prov
 enance and metadata to allow sharing of datasets among the community.\n\nD
 omain: Computer Science, Machine Learning, and Applied Mathematics 
\n\nSe
 ssion Chair: Gregory Watson (Oak Ridge National Laboratory)
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