Isotopic identification using Pulse Shape Analysis of current signals from silicon detectors: Recent results from the FAZIA collaboration

The FAZIA apparatus exploits Pulse Shape Analysis (PSA) to identify nuclear fragments stopped in the first layer of a Silicon-Silicon-CsI(Tl) detector telescope. In this work, for the first time, we show that the isotopes of fragments having atomic number as high as Z∼20 can be identified. Such a re...

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Vydáno v:Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment Ročník 860; s. 42 - 50
Hlavní autoři: Pastore, G., Gruyer, D., Ottanelli, P., Le Neindre, N., Pasquali, G., Alba, R., Barlini, S., Bini, M., Bonnet, E., Borderie, B., Bougault, R., Bruno, M., Casini, G., Chbihi, A., Dell'Aquila, D., Dueñas, J.A., Fabris, D., Francalanza, L., Frankland, J.D., Gramegna, F., Henri, M., Kordyasz, A., Kozik, T., Lombardo, I., Lopez, O., Morelli, L., Olmi, A., Pârlog, M., Piantelli, S., Poggi, G., Santonocito, D., Stefanini, A.A., Valdré, S., Verde, G., Vient, E., Vigilante, M.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier B.V 11.07.2017
Elsevier
Témata:
Digital signal processing
High Energy Physics - Phenomenology
Interpolation algorithms
Isotopic identification
Physics
Pulse Shape Analysis
Silicon detector
Smoothing spline
Pulse Shape Analysis
Interpolation algorithms
Silicon detector
Isotopic identification
Digital signal processing
Smoothing spline
ISSN:0168-9002, 1872-9576
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Popis
Shrnutí:The FAZIA apparatus exploits Pulse Shape Analysis (PSA) to identify nuclear fragments stopped in the first layer of a Silicon-Silicon-CsI(Tl) detector telescope. In this work, for the first time, we show that the isotopes of fragments having atomic number as high as Z∼20 can be identified. Such a remarkable result has been obtained thanks to a careful construction of the Si detectors and to the use of low noise and high performance digitizing electronics. Moreover, optimized PSA algorithms are needed. This work deals with the choice of the best algorithm for PSA of current signals. A smoothing spline algorithm is demonstrated to give optimal results without requiring too much computational resources.
ISSN:0168-9002
1872-9576
DOI:10.1016/j.nima.2017.01.048