- By:
- Zhang, Chen ; Morgan, Zachary J
- Page Number:
- 383-397
- Volume:
- 1512
- Issue Number:
- CCIS
- Book Title:
- Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation
- Publication Date:
- November 9, 2023
- Publisher Location:
- Springer, Cham, Switzerland
- Conference Name:
- Smoky Mountains Computational Sciences & Engineering Conference (SMC)
- Conference Location:
- Kingsport, Tennessee, United States of America
- Conference Sponsor:
- Oak Ridge National Laboratory
- View DOI Listing:
- https://doi.org/10.1007/978-3-030-96498-6_22
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.
