title: Bayesian reconstruction of nanodosimetric cluster distributions at 100% detection efficiency.
abstract: Ionisation spectra in nanometric volumes at a given distance from a charged particle track are obtained by using electron (or ion) gas detectors, having non-uniformly distributed detection efficiency. Therefore, such spectra should be properly processed in order to reconstruct the frequency distribution of clusters really produced in the detector gas. A Bayesian unfolding has been applied to ionisation distributions due to 5.4 MeV alpha particles in a 20-nm site obtained by Monte Carlo simulations, taking into account different detection efficiency conditions. It will be shown that Bayesian analysis provides a valid tool for reconstructing the true ionisation distributions, well beyond the maximum measured cluster size.
authors.affiliation: University of Padova, Physics Department, via Marzolo 8, I-35131 Padova, Italy. denardo@lnl.infn.it
authors.forename: L
authors.initials: L
authors.lastname: De Nardo
authors.forename: S
authors.initials: S
authors.lastname: Canella
authors.forename: B
authors.initials: B
authors.lastname: Grosswendt
mesh_terms: D001499:Bayes Theorem; D016000:Cluster Analysis; D003198:Computer Simulation; D017076:Computer-Aided Design; D004307:Dose-Response Relationship, Radiation; D004867:Equipment Design; D019544:Equipment Failure Analysis; D008904:Miniaturization; D015233:Models, Statistical; D036103:Nanotechnology / Q000295:instrumentation* / Q000379:methods; D011829:Radiation Dosage; D011874:Radiometry / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D016008:Statistical Distributions