Technical note Open Access
The Cluster Counting (CC) technique, proposed for dE/dx measurements with the SuperB drift-chamber, could, significantly, improve particle identification by avoiding the fluctuations involved in charge measurements. As the technique is quite sensitive to the detector working conditions and to the front-end chain response, in this note we have investigated the effects on clusters detection efficiency of electron diffusion, preamplifier frequencyresponse and Signal-to-Noise Ratio (SNR) using different algorithms. The evaluation is based on Garfield datasets, generated for a single cell geometry, at different impact points for π /µ/e particles with momenta 120, 140, 160, 180 and 210 MeV. The current waveforms generated by Garfield have been shaped according to the preamplifier response and different amounts of white gaussian noise has been added to the waveforms to simulate different SNRs. Finally an estimation of π /µ/e separation is shown.