New semi-automatic method for reaction product charge and mass identification in heavy-ion collisions at Fermi energies

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• 作者：D. Gruyer^a ; ^b ; ^{diego.gruyer@fi.infn.it} ; E. Bonnet^b ; A. Chbihi^b ; J.D. Frankland^b ; S. Barlini^a ; ^c ; B. Borderie^d ; R. Bougault^e ; J.A. Dueñ ; as^f ; E. Galichet^d ; ^g ; A. Kordyasz^h ; T. Kozikⁱ ; N. Le Neindre^e ; O. Lopez^e ; M. Pâ ; rlog^e ; ^j ; G. Pastore^a ; ^c ; S. Piantelli^a ; S. Valdré ; ^a ; ^c ; G. Verde^d ; ^k ; E. Vient^e
• 关键词：Silicon detector ; Computer data analysis ; Charged particle identification
• 刊名：Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
• 出版年：2017
• 出版时间：1 March 2017
• 年：2017
• 卷：847
• 期：Complete
• 页码：142-147
• 全文大小：2356 K
• 卷排序：847

文摘

This article presents a new semi-automatic method for charge and mass identification of charged nuclear fragments using either ΔE−EΔE−E correlations between measured energy losses in two successive detectors or correlations between charge signal amplitude and rise time in a single silicon detector, derived from digital pulse shape analysis techniques. In both cases different nuclear species (defined by their atomic number Z and mass number A) can be visually identified from such correlations if they are presented as a two-dimensional histogram (‘identification matrix’), in which case correlations for different species populate different ridge lines (‘identification lines’) in the matrix. The proposed algorithm is based on the identification matrix's properties and uses as little information as possible on the global form of the identification lines, making it applicable to a large variety of matrices. Particular attention has been paid to the implementation in a suitable graphical environment, so that only two mouse-clicks are required from the user to calculate all initialization parameters. Example applications to recent data from both INDRA and FAZIA telescopes are presented.