Pulse processing routines for neutron time-of-flight data

Žugec, Petar and Weiss, C. and Guerrero, C. and Gunsing, F. and Vlachoudis, V. and Sabate-Gilarte, M. and Stamatopoulos, A. and Wright, T. and Lerendegui-Marco, J. and Mingrone, F. and Ryan, J. A. and Warren, S. G. and Tsinganis, A. and Barbagallo, M. (n_TOF Collaboration) (2016) Pulse processing routines for neutron time-of-flight data. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 812. pp. 134-144. ISSN 0168-9002

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A pulse shape analysis framework is described, which was developed for n_TOF-Phase3, the third phase in the operation of the n_TOF facility at CERN. The most notable feature of this new framework is the adoption of generic pulse shape analysis routines, characterized by a minimal number of explicit assumptions about the nature of pulses. The aim of these routines is to be applicable to a wide variety of detectors, thus facilitating the introduction of the new detectors or types of detectors into the analysis framework. The operational details of the routines are suited to the specific requirements of particular detectors by adjusting the set of external input parameters. Pulse recognition, baseline calculation and the pulse shape fitting procedure are described. Special emphasis is put on their computational efficiency, since the most basic implementations of these conceptually simple methods are often computationally inefficient.

Item Type: Article
Keywords: signal analysis algorithms; pulse recognition; signal baseline; pulse shape fitting; n_TOF facility
Date: 7 January 2016
Subjects: NATURAL SCIENCES > Physics
Additional Information: © 2016 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). Received 14 September 2015 Received in revised form 7 December 2015. Accepted 20 December 2015. Available online 7 January 2016.
Divisions: Faculty of Science > Department of Physics
Project code: IP-2013-11-1680
Publisher: Elsevier
Depositing User: Gordana Stubičan Ladešić
Date Deposited: 05 Oct 2017 14:50
Last Modified: 05 Oct 2017 14:50
URI: http://digre.pmf.unizg.hr/id/eprint/5601

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