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High-resolution, single-particle digital autoradiography of actinide sources using microcapillary array collimators and the iQID camera.
Miller, Brian W; Bowen, James M; Morrison, Erin C.
Afiliação
  • Miller BW; University of Colorado School of Medicine, Department of Radiation Oncology, Aurora, CO, USA; University of Arizona, College of Optical Sciences, Tucson, AZ, USA. Electronic address: brian.w.miller@CUAnschutz.edu.
  • Bowen JM; Pacific Northwest National Laboratory, Richland, WA, USA.
  • Morrison EC; Pacific Northwest National Laboratory, Richland, WA, USA.
Appl Radiat Isot ; 166: 109348, 2020 Dec.
Article em En | MEDLINE | ID: mdl-32961524
ABSTRACT
Characterization of the homogeneity of thin actinide deposits prior to and after irradiation is important to ensure measurement of high-quality nuclear data in nuclear physics experiments. Autoradiography is frequently used to assess homogeneity, but geometric blur from source thickness, particle range, and source-detector gap can significantly degrade image resolution and introduce bias when estimating source uniformity and activity. We establish a method for minimizing geometric blur using a new autoradiography imaging technique with microcapillary array collimators and a new method to characterize the homogeneity of an imaged deposit. Also, we demonstrate that beta-/gamma-blind imaging is possible for alpha-particle autoradiography with ZnSAg scintillators and the ionizing-radiation quantum imaging detector (iQID), a digital autoradiography system with intrinsic spatial resolutions up to 20 µm for alphas. This iQID imaging approach can successfully discriminate alphas in the presence of a beta-gamma source in samples containing >106 dynamic range in activity. We apply this feature to characterize the uniformity of plutonium deposits before and after accelerator irradiation in the presence of a large beta-gamma background.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Clinical_trials Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Clinical_trials Idioma: En Ano de publicação: 2020 Tipo de documento: Article