from 27 February 2017 to 3 March 2017
Budker Institute of Nuclear Physics
Asia/Novosibirsk timezone
Home > Timetable > Session details > Contribution details

Contribution Poster

Budker Institute of Nuclear Physics
Tracking and vertex detectors

Application of the Cluster Counting and Timing techniques to improve the performance of the high transparency Drift Chambers for modern High Energy Physics experiments


  • Dr. Giovanni Francesco TASSIELLI
  • Mr. Gianluigi CHIARELLO

Primary authors



The ultra-low mass and high granularity Drift Chambers can fulfill the requirements of tracking systems for modern High Energy Physics experiments, like the experiments for the search of extremely rare processes (as MEG-II) and the experiments at the future high intensity accelerators (as FCC). For the firsts a high resolutions (order of 50-200 keV/c) for particle momenta in the range of 50-300 MeV/c, which is totally dominated by multiple scattering contributions, is required; for the seconds to the ability of reaching the expected resolution and rate performances the use of the Cluster Counting and Timing technique can add a valuable PID performance impossible to reach with the dE/dx technique. <br/> We present how, in Helium based gas mixtures, by counting and measuring the arrival times of each individual ionization cluster and by using statistical tools it is possible to have a bias free estimate of the impact parameter and a better PID discrimination. Since typical time separations between consecutive ionization acts range from a few ns, at small impact parameters, to a few tens of ns, at large impact parameters, in order to efficiently applying the cluster timing technique, it is necessary to have read-out interfaces capable of processing high speed signals, in which one can easily isolate pulses due to different ionization clusters. We present a full front-end chain, needed to apply the Cluster Counting/Timing technique, able to manage the low signals (~few mV) at a high bandwidth (~1 GHz) coming form the drift chamber cells. In particular we developed a digitization board, based on a 12bit FADC and on a Virtex-6 FPGA, able to efficiently digitize the signals and to perform an on-line processing. We wrote, and implemented in the FPGA, a fast algorithm able to efficiently extract the cluster information in an on-line processing otherwise it couldn't be possible to use the Cluster Counting/Timing technique on a large detector. <br/> We show the firsts results obtained on the application of the techniques on small prototypes.