4.2 Article

Modeling ionization quenching in organic scintillators

期刊

MATERIALS ADVANCES
卷 3, 期 14, 页码 5871-5881

出版社

ROYAL SOC CHEMISTRY
DOI: 10.1039/d2ma00388k

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资金

  1. US Department of Energy by Lawrence Berkeley National Laboratory [DE-AC02-05CH11231]
  2. Nuclear Science and Security Consortium [DE-NA0003180, DE-NA0003996]
  3. US Department of Energy, National Nuclear Security Administration, Office of Defense Nuclear Nonproliferation Research and Development (DNN RD)
  4. US Department of Energy's National Nuclear Security Administration [DE-NA0003525]

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This study evaluates the light yield data of protons and carbon ions in organic scintillators using ionization quenching models. The results show that the existing models can reasonably describe the light yield of protons within a specific energy range, but additional research is needed for carbon ions. This study is important for accurately modeling scintillator-based neutron detection systems.
Recoil nuclei produce high ionization and excitation densities in organic scintillators leading to reduced light yield via ionization quenching. To improve understanding of the relationship between organic scintillator specific luminescence and the characteristics of the recoil particle, this work evaluates proton and carbon light yield data using ionization quenching models over an energy range of tens of keV to several MeV for protons and 1-5 MeV for carbon ions. Previously-measured proton and carbon light yield data were examined for a variety of commercial and novel organic scintillating media: EJ-309, a liquid with pulse shape discrimination (PSD) properties; EJ-204, a fast plastic; EJ-276, a PSD-capable plastic; and a custom organic glass scintillator developed by Sandia National Laboratories. The canonical model of Birks did not adequately describe the ionization quenching behavior. Models proposed by Yoshida et al. and Voltz et al. provided a reasonable description of the proton light yield of a variety of organic scintillators over a broad energy range, but additional work is needed to extend the models to carbon ions. The impact of stopping power data was also investigated by comparing model predictions using SRIM and PSTAR/MSTAR libraries, and the results show a significant discrepancy for carbon ions. This work enhances understanding of ionization quenching and facilitates the accurate modeling of scintillator-based neutron detection systems relevant for medical physics, nuclear security and nonproliferation, and basic science studies.

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