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Advanced Image Reconstruction for MCP Detector in Event Mode

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Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation (SMC 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1512))

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Abstract

A two-step data reduction framework is proposed in this study to reconstruct a radiograph from the data collected with a micro-channel plate (MCP) detector operating under event mode. One clustering algorithm and three neutron event back-tracing models are proposed and evaluated using both example data and a full scan data. The reconstructed radiographs are analyzed, the results of which are used to suggest future development.

5th Annual Smoky Mountains Computational Sciences Data Challenge (SMCDC21).

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Notes

  1. 1.

    To put things into perspective, current ORNL neutron scattering instruments produce 1.2 TB d\(^{-1}\) [7], and the full operation of the new MCP detector will add another 12.96 TB d\(^{-1}\) on top of it.

  2. 2.

    https://github.com/KedoKudo/MCPEventModeImageReconstruction.

  3. 3.

    \(z_i = \text {TOT}_i + \text {TOA}_i\) where i denotes each signal.

  4. 4.

    The workstation has a Intel(R) i7-8565U @ 1.80 GHz CPU and 32 GB of memory, running Ubuntu 20.04.3 LTS.

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Acknowledgements

A portion of this research used resources at the SNS, a Department of Energy (DOE) Office of Science User Facility operated by ORNL. ORNL is managed by UT-Battelle LLC for DOE under Contract DE-AC05-00OR22725.

Author information

Authors and Affiliations

  1. Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, USA

    Chen Zhang

  2. Neutron Scattering Division, Oak Ridge National Laboratory, Oak Ridge, USA

    Zachary Morgan

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  1. Chen Zhang
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  2. Zachary Morgan
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Corresponding authors

Correspondence to Chen Zhang or Zachary Morgan .

Editor information

Editors and Affiliations

  1. Oak Ridge National Laboratory, Oak Ridge, TN, USA

    Jeffrey Nichols

  2. Oak Ridge National Laboratory, Oak Ridge, TN, USA

    Arthur ‘Barney’ Maccabe

  3. Oak Ridge National Laboratory, Oak Ridge, TN, USA

    James Nutaro

  4. Oak Ridge National Laboratory, Oak Ridge, TN, USA

    Swaroop Pophale

  5. Oak Ridge National Laboratory, Oak Ridge, TN, USA

    Pravallika Devineni

  6. Oak Ridge National Laboratory, Oak Ridge, TN, USA

    Theresa Ahearn

  7. Oak Ridge National Laboratory, Oak Ridge, TN, USA

    Becky Verastegui

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Zhang, C., Morgan, Z. (2022). Advanced Image Reconstruction for MCP Detector in Event Mode. In: Nichols, J., et al. Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation. SMC 2021. Communications in Computer and Information Science, vol 1512. Springer, Cham. https://doi.org/10.1007/978-3-030-96498-6_22

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  • DOI: https://doi.org/10.1007/978-3-030-96498-6_22

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-030-96498-6

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