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Related Concept Videos

Isotopes and Radioisotopes01:28

Isotopes and Radioisotopes

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In the early 1900s, English chemist Frederick Soddy realized that an element could have atoms with different masses that were chemically indistinguishable. These different types are called isotopes — atoms of the same element that differ in mass. Isotopes differ in mass because they have different numbers of neutrons but are chemically identical because they have the same number of protons. Soddy was awarded the Nobel Prize in Chemistry in 1921 for this discovery.
An isotope containing...
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Self-powered multilayer radioisotope identification device.

Davide Brivio1, Erno Sajo2, Piotr Zygmanski1

  • 1Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.

Medical Physics
|January 15, 2021
PubMed
Summary
This summary is machine-generated.

This study developed a rugged, self-powered Radioisotope Identification Device (RIID) using a novel multilayer sensor. The optimized design accurately identifies radioisotopes across a wide energy range, even in challenging conditions.

Keywords:
aerogeldetectorhigh-energy particle currenthomeland securitynanoporousnational securitypolyimideradiation safetyradioisotopes identificationself-poweredspectroscopyx-ray detector

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Area of Science:

  • Nuclear Physics and Engineering
  • Materials Science and Engineering
  • Computational Physics

Background:

  • Radioisotope Identification Devices (RIIDs) are crucial for national security and radiation therapy.
  • Existing RIIDs face limitations in ruggedness, power requirements, and operational range.
  • Previous work established the High Energy Current (HEC) concept and multilayer detector prototypes.

Purpose of the Study:

  • To computationally develop an optimal, rugged, and self-powered Radioisotope Identification Device (RIID).
  • To design a single detector capable of identifying radioisotopes across a broad energy spectrum (keV-MeV).
  • To enable accurate radioisotope identification for both unshielded and shielded sources.

Main Methods:

  • Simulated numerous multilayer detector geometries (N=1-24 elements, Al-aerogel-Ta-aerogel-Al electrodes).
  • Optimized electrode and aerogel thicknesses using radiation transport simulations for a balanced energy response (10 keV–6 MeV).
  • Developed and tested inverse algorithms for radioisotope identification using simulated and experimental data from various isotopes and spectra.

Main Results:

  • Determined characteristic response functions for monoenergetic beams and radioisotopes.
  • Developed two inverse algorithms capable of identifying unshielded and shielded radioisotope sources.
  • Quantified effective energies of shielded spectra and estimated Compton background.

Conclusions:

  • An optimized multilayer sensor based on fast electron current functions effectively as a Radioisotope Identification Device (RIID).
  • The balanced detector design enables radioisotope identification across a wide energy range (keV-MeV).
  • The low-cost, rugged, self-powered device with a robust identification algorithm is suitable for demanding applications and radiation incidents.