Reconstruction of cluster distributions at 100% detection efficiency for a track-nanodosimetric counter through a Bayesian analysis

Radiat Prot Dosimetry. 2004;110(1-4):863-70. doi: 10.1093/rpd/nch143.

Abstract

A Bayesian unfolding has been applied to ionisation distributions due to 5.4 MeV alpha particles in a 20-nm site obtained using Monte Carlo simulations, taking into account different detection efficiency conditions. The ideal case of a target volume with uniform efficiency has been investigated to study the dependence of the reconstruction on prior distributions. A simplified approach has been used to treat the case of a target volume with non-uniformly distributed efficiency, like the sensitive volume of the track-nanodosimetric counter. Our results point out that Bayesian analysis provides a effective tool for reconstructing the true ionisation distributions, well beyond the maximum measured cluster size.

Publication types

  • Comparative Study
  • Evaluation Study
  • Validation Study

MeSH terms

  • Algorithms*
  • Alpha Particles
  • Computer-Aided Design
  • Electrons
  • Equipment Design / methods
  • Equipment Failure Analysis / methods*
  • Monte Carlo Method
  • Nanotechnology / instrumentation*
  • Nanotechnology / methods
  • Nanotubes / analysis*
  • Nanotubes / radiation effects
  • Radiation Protection / instrumentation
  • Radiation Protection / methods
  • Radiation, Ionizing
  • Radiometry / instrumentation*
  • Radiometry / methods
  • Reproducibility of Results
  • Scintillation Counting / instrumentation*
  • Scintillation Counting / methods
  • Sensitivity and Specificity