A pulse shape analysis (PSA) algorithm for segmented HPGe detectors is discussed and some test cases are analysed. The procedure allows the identification of the number of interactions inside a segment and their radial positions. An important characteristic of the algorithm is that it does not need the induced signals of the neighbouring segments as it is based on the comparison between the current pulse from the net charge collecting segment and a basis of reference signals. The calculation time that is required to analyse one event scales linearly with the number of interactions to disentangle. The efficiency of the algorithm for the correct identification of the number of interaction points and their radial position calculated for 600 keV g-rays ranges from 65% to 95% depending on the complexity of the analysed event.
A pulse shape analysis algorithm for HPGe detectors / F.C.L. Crespi, F. Camera, O. Wieland, G. Benzoni, S. Brambilla, B. Million, D. Montanari. - In: NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH. SECTION A, ACCELERATORS, SPECTROMETERS, DETECTORS AND ASSOCIATED EQUIPMENT. - ISSN 0168-9002. - 570:3(2007), pp. 459-466.
A pulse shape analysis algorithm for HPGe detectors
F.C.L. CrespiPrimo
;F. CameraSecondo
;G. Benzoni;D. MontanariUltimo
2007
Abstract
A pulse shape analysis (PSA) algorithm for segmented HPGe detectors is discussed and some test cases are analysed. The procedure allows the identification of the number of interactions inside a segment and their radial positions. An important characteristic of the algorithm is that it does not need the induced signals of the neighbouring segments as it is based on the comparison between the current pulse from the net charge collecting segment and a basis of reference signals. The calculation time that is required to analyse one event scales linearly with the number of interactions to disentangle. The efficiency of the algorithm for the correct identification of the number of interaction points and their radial position calculated for 600 keV g-rays ranges from 65% to 95% depending on the complexity of the analysed event.Pubblicazioni consigliate
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