Probing the Merits of Different Event Parameters for the Identification of Light Charged Particles in CHIMERA CsI(Tl) Detectors With Digital Pulse Shape Analysis

Author

Acosta, Leopoldo ; Amorini, F. ; Bassini, R. ; Boiano, C. ; Cardella, G. ; De Filippo, E. ; Grassi, L. ; Guazzoni, C. ; Guazzoni, P. ; KisÌŒ, M. ; La Guidara, E. ; Leifels, Y. ; Lombardo, I. ; Minniti, T. ; Pagano, Annachiara ; Papa, M. ; Pirrone, S. ; Po

Author_Institution

Lab. Naz. del Sud, Catania, Italy

Volume

60

Issue

1

fYear

2013

fDate

Feb. 2013

Firstpage

284

Lastpage

292

Abstract

We investigated the merits of different event parameters in the identification of Light Charged Particles (LCPs) with CsI(Tl) scintillators read out by photodiodes at high incident energy (400 MeV/u). This investigation is made possible by digital signal processing the output signals. As in the conventional analogue case, the digitized signals allow the discrimination of light charged particles by computing the fast and slow components. In addition other identification parameters as the rise time of the output pulses of the CsI(Tl) come out nearly for free. Aim of this paper is the investigation of novel identification plots and the probe of their merits, in particular at relativistic energies.

Keywords

analogue-digital conversion; particle beam diagnostics; photodiodes; scintillation counters; signal processing; CHIMERA CsI(Tl) Detectors; CsI(Tl) scintillators read out; digital pulse shape analysis; digital signal processing; event parameter merits; incident energy; light charged particles; novel identification plots; output signals; photodiodes; relativistic beam energies; Detectors; Digital signal processing; Fast light; Protons; Shape; Silicon; Telescopes; CsI(Tl) scintillators; intermediate energy nuclear physics; online digital signal processing; particle identification; pulse shape analysis;

fLanguage

English

Journal_Title

Nuclear Science, IEEE Transactions on

Publisher

ieee

ISSN

0018-9499

Type

jour

DOI

10.1109/TNS.2013.2237789

Filename

6423837