Improved particle identification using cluster counting in a full-length drift chamber prototype
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- 作者：Jean-Fran莽ois Caron ; Christopher Hearty ; Philip Lu ; Rocky So ; Racha Cheaib ; Jean-Pierre Martin ; Wayne Faszer ; Alex ; re Beaulieu ; Samuel de Jong ; Michael Roney ; Riccardo de Sangro ; Giulietto Felici ; Giuseppe Finocchiaro ; Marcello Piccolo
- 关键词：Cluster counting ; Drift chamber ; Gaseous ionization detector ; Detector ; SuperB
- 刊名：Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
- 出版年：21 January, 2014
- 年：2014
- 卷：735
- 期：Complete
- 页码：169-183
- 全文大小：2417 K
文摘
Single-cell prototype drift chambers were built at TRIUMF and tested with a beam of positrons, muons, and pions. A cluster-counting technique is implemented which improves the ability to distinguish muons and pions when combined with a traditional truncated-mean charge measurement. Several cluster-counting algorithms and equipment variations are tested, all showing significant improvement when combined with the traditional method. The results show that cluster counting is a feasible option for any particle physics experiment using drift chambers for particle identification. The technique does not require electronics with an overly high sampling rate. Optimal results are found with a signal smoothing time of corresponding to a Nyquist frequency.