Radioactivity estimation of multiple radiation sources using a Compton camera to investigate radioactively contaminated objects.

Compton camera Evolutionary computation Gamma-ray imaging Multiple radiation sources Radioactivity estimation

Journal

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine
ISSN: 1872-9800
Titre abrégé: Appl Radiat Isot
Pays: England
ID NLM: 9306253

Informations de publication

Date de publication:
Jan 2024
Historique:
received: 03 06 2023
revised: 19 09 2023
accepted: 23 10 2023
medline: 10 11 2023
pubmed: 10 11 2023
entrez: 9 11 2023
Statut: ppublish

Résumé

Radioactive substances released during the accident at the Fukushima Daiichi Nuclear Power Station (FDNPS) were deposited on various equipment and building structures. During decommissioning, an investigation of the radioactive substances deposited inside the contaminated equipment and structures can provide information regarding the cause and progression of the accident. This study introduces a quantitative evaluation method for the amount of radioactivity. In this method, a Compton camera, a type of gamma-ray imager, is used to investigate the deposition and contamination level of radioactive substances on contaminated objects. Multiple

Identifiants

pubmed: 37944253
pii: S0969-8043(23)00436-0
doi: 10.1016/j.apradiso.2023.111083
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

111083

Informations de copyright

Copyright © 2023 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The author declares that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Yuki Sato (Y)

Collaborative Laboratories for Advanced Decommissioning Science, Japan Atomic Energy Agency, 790-1 Motooka aza Ohtsuka, Tomioka-machi, Futaba-gun, Fukushima, Japan. Electronic address: sato.yuki@jaea.go.jp.

Classifications MeSH