Post-processing: extracting physical information from PEPT data

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ID: 311751
2022
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Abstract
One of the great strengths of the positron emission particle tracking (PEPT) technique is the great depth and diversity of information it can extract from a given scientific or industrial system. This information includes, but is by no means limited to, one-, two- or three- dimensional spatial density distributions, velocity distributions, granular temperature distributions and velocity vector fields, velocity probability distributions, particle dispersion and diffusion, and a variety of measures of segregation, mixing and the rates thereof. In this chapter, we present detailed information regarding these diverse quantities, and how they may be robustly and rigorously extracted from PEPT data, including interactive examples which guide the reader step-by-step through the process, and may even be used directly to process real PEPT data.
Reference Key
persistent_1771691853_6999df4dbe391 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Kit Windows-Yule, Leonard Nicuşan, Matthew T Herald, Samuel Manger, David Parker
Journal science and technology of advanced materials
Year 2022
DOI
10.1088/978-0-7503-3071-8ch7
URL
https://iopscience.iop.org/book/mono/978-0-7503-3071-8/chapter/bk978-0-7503-3071-8ch7.pdf
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