Spatial identification of nucleations in Superheated Droplet Detectors

We present a new method for the identification of bubble nucleation in superheated droplet detectors. This is accomplished through some elaborate signal processing techniques applied to the acoustical recording of the nucleation events. These include the application of wavelets, chirp-z transform and pulse shape identification procedures to locate temporally and validate the nucleation together with back-propagation algorithms for spatial localization. Experimental results are given for the spatial localization at different temperatures and pressures.