Reconstruction of cluster distributions at 100% detection efficiency for a track-nanodosimetric counter through a Bayesian analysis.
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.
De Nardo
L
L
Physics Department, University of Padova, via Belzoni 7, I-35131 Padova, Italy. denardo@lnl.infn.it
Lesimple
M
M
Canella
S
S
Grosswendt
B
B
D000465:Algorithms; D000512:Alpha Particles; D017076:Computer-Aided Design; D004583:Electrons; D004867:Equipment Design / Q000379:methods; D019544:Equipment Failure Analysis / Q000379:methods*; D009010:Monte Carlo Method; D036103:Nanotechnology / Q000295:instrumentation* / Q000379:methods; D043942:Nanotubes / Q000032:analysis* / Q000528:radiation effects; D011835:Radiation Protection / Q000295:instrumentation / Q000379:methods; D011839:Radiation, Ionizing; D011874:Radiometry / Q000295:instrumentation* / Q000379:methods; D015203:Reproducibility of Results; D012588:Scintillation Counting / Q000295:instrumentation* / Q000379:methods; D012680:Sensitivity and Specificity