Radiation dosimetry using three-dimensional optical random access memories

Published

Journal Article

The ability to determine particle type and energy plays an important role in the dosimetry of heavy charged particles (HCP) and neutrons. A new approach to radiation dosimetry is presented, which is shown to be capable of particle type and energy discrimination. This method is based on utilising radiation induced changes in the digital information stored on three-dimensional optical random access memories (3D ORAM). 3D ORAM is a small cube (a few mm3) composed of poly(methyl methacrylate) doped with a photochromic dye, and it was originally proposed as a memory device in high speed parallel computers. A Nd:YAG laser system is used to write and read binary information (bits) on the ORAM, which functions as a charged particle detector. Both the read and the write processes use two laser beams that simultaneously strike the material to cause a colour change at their intersection (similar to the darkening of light-sensitive sunglasses when exposed to sunlight.) The laser produces colour changes in the ORAM, which then reverts to the original colour ('bit-flips') at sites where energy is deposited from interaction with incident HCP or neutron-recoil protons. The feasibility of this approach was demonstrated both theoretically and experimentally. Calculations based on track structure theory (TST) predict that when HCP interact with the ORAM material, the local energy deposition is capable of inducing measurable 'bit-flips'. These predictions were recently confirmed experimentally using two types of ORAM systems, one based on spirobenzopyran and the other on anthracene, as the photochromic dyes.

Full Text

Duke Authors

Cited Authors

  • Moscovitch, M; Phillips, GW; Cullum, BM; Mobley, J; Bogard, JS; Emfietzoglou, D; Vo-Dinh, T

Published Date

  • January 1, 2002

Published In

Volume / Issue

  • 101 / 1-4

Start / End Page

  • 17 - 22

International Standard Serial Number (ISSN)

  • 0144-8420

Digital Object Identifier (DOI)

  • 10.1093/oxfordjournals.rpd.a005960

Citation Source

  • Scopus