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Examining and Presenting Cycles in Temperature Logs from the Vulcan Diffractometer

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Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI (SMC 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1315))

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Abstract

As scientific facilities produce more and more data, it is the job of scientists to parse through and present the data in clear, well-formatted, and accurate mediums in order to apply this information to future projects. This was the primary goal when processing the Spallation Neutron Source’s challenge data for the VULCAN diffractometer. The diffractometer generates high-intensity neutron pulses towards a material and the changes in temperature over time are recorded. This information can reveal the molecular structure of the material as well as their behavior under certain conditions and duress. As the material was rapidly heated and cooled, we examine the change in temperature, eliminate stagnant data, and divide information into cycles. Doing so provides insight into the composition and behavior of the material, as well as the diffractometer’s process.

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Correspondence to Regan Moreno .

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© 2020 This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply

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Moreno, R., Steed, C., Engstrom, K., Schmidt, E. (2020). Examining and Presenting Cycles in Temperature Logs from the Vulcan Diffractometer. In: Nichols, J., Verastegui, B., Maccabe, A.‘., Hernandez, O., Parete-Koon, S., Ahearn, T. (eds) Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI. SMC 2020. Communications in Computer and Information Science, vol 1315. Springer, Cham. https://doi.org/10.1007/978-3-030-63393-6_29

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  • DOI: https://doi.org/10.1007/978-3-030-63393-6_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-63392-9

  • Online ISBN: 978-3-030-63393-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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