bibtype A - Abstract
ARLID 0638913
utime 20251007084120.6
mtime 20250916235959.9
title (primary) (eng) Estimation of Xe133 release from activity concentration measurements with background signal
specification
page_count 1 s.
media_type E
serial
title CTBT: Science and Technology Conference 2025 - Book of Abstracts
publisher
place Vienna
name Comprehensive Nuclear-Test-Ban Treaty Organization (CTBTO)
year 2025
keyword Xe133
keyword International Monitoring System
keyword linear inverse model
author (primary)
ARLID cav_un_auth*0267768
name1 Tichý
name2 Ondřej
institution UTIA-B
full_dept (cz) Adaptivní systémy
full_dept (eng) Department of Adaptive Systems
department (cz) AS
department (eng) AS
full_dept Department of Adaptive Systems
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101207
name1 Šmídl
name2 Václav
institution UTIA-B
full_dept (cz) Adaptivní systémy
full_dept Department of Adaptive Systems
department (cz) AS
department AS
full_dept Department of Adaptive Systems
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0466450
name1 Kuśmierczyk-Michulec
name2 J.
country AT
author
ARLID cav_un_auth*0466452
name1 Tipka
name2 A.
country AT
source
url https://library.utia.cas.cz/separaty/2025/AS/tichy-0638913.pdf
cas_special
project
project_id GA24-10400S
agency GA ČR
country CZ
ARLID cav_un_auth*0464279
abstract (eng) Estimation of Xe133 emissions associated with nuclear tests is a challenging task for the Comprehensive Nuclear-Test-Ban Treaty Organization (CTBTO) due to noble gas background emissions from nuclear power plants, research reactors, and medical isotope production facilities. These background emissions make data interpretation from the International Monitoring System (IMS) a complex issue since the standard linear inverse model for Xe133 measurements often introduces significant errors. We investigate methods to separate the background signal from potential nuclear test signal, enabling estimation of the Xe133 source term. Our most advanced model seeks for separation of the mixture of signals from civilian and nuclear sources, estimating the Xe133 source term from the rest of the signal after subtraction of the civilian signal. The methods are evaluated using data from the 1st Nuclear Explosion Signal Screening Open Inter-Comparison Exercise (NESSI) 2021. Results are compared against ground truth information on Xe133 source characteristics, leading to improvement of the identification of nuclear explosion signals in complex atmospheric backgrounds.
action
ARLID cav_un_auth*0493165
name CTBT: Science and Technology Conference 2025
dates 20250908
mrcbC20-s 20250912
place Vienna
country AT
RIV BB
FORD0 10000
FORD1 10100
FORD2 10102
reportyear 2026
num_of_auth 4
presentation_type PO
inst_support RVO:67985556
permalink https://hdl.handle.net/11104/0370099
mrcbC61 1
confidential S
arlyear 2025
mrcbU14 SCOPUS
mrcbU24 PUBMED
mrcbU34 WOS
mrcbU63 CTBT: Science and Technology Conference 2025 - Book of Abstracts Comprehensive Nuclear-Test-Ban Treaty Organization (CTBTO) 2025 Vienna