Filtering of pulses from particle detectors by means of Singular Value Decomposition (SVD)
Identifiers
Permanent link (URI): http://hdl.handle.net/10017/59213DOI: 10.1016/j.nima.2019.01.028
ISSN: 0168-9002
Publisher
Elsevier
Date
2019-04-01Funders
Agencia Estatal de Investigación
Bibliographic citation
Regadío Carretero, A., Sánchez Prieto, S. & Esteban, L. 2019, “Filtering of pulses from particle detectors by means of Singular Value Decomposition (SVD)”, Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, vol. 922, pp. 257-264.
Keywords
Digital pulse processing
Pulse filtering
Noise
Dimensionality reduction
SVD
Project
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/ESP2017-88436-R/ES/ENERGETIC PARTICLE DETECTOR EN SOLAR ORBITER: FASES D Y E/
Document type
info:eu-repo/semantics/article
Version
info:eu-repo/semantics/acceptedVersion
Publisher's version
https://doi.org/10.1016/j.nima.2019.01.028Rights
Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
© 2019 Elsevier
Access rights
info:eu-repo/semantics/openAccess
Abstract
This paper presents a novel methodology to filter pulses coming from particle detectors. It is based on variable-in-time convolutions in which one of the operands is the input pulse and the other is a vector that changes with every convolution step. This is equivalent to multiply every incoming pulse by a filtering matrix. The coefficients of this matrix are computed by applying a Singular Value Decomposition (SVD) factorization over a set of training pulses. A detailed explanation of this SVD-filtering methodology, a noise filtering analysis, simulations and filtering of pulses coming from a neutron monitor were carried out to verify its feasibility.
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