Year
2023
File Attachment
finalpaper_418_0512014853.pdf238.38 KB
Abstract
Emissions of four radioxenon isotopes relevant for CTBT monitoring are frequently observed
by the noble gas sensors of the International Monitoring System (IMS). These emissions
originate from worldwide nuclear facilities, are ever-present and highly variable, and pose a
challenge for global monitoring of nuclear explosions. A sophisticated approach is required for
a process called screening, i.e., to distinguish for each IMS sample whether the observations
can be explained by known sources or whether it possibly contains a contribution from a
nuclear explosion. For this purpose, a sequence of research and development projects has been
initiated, aiming to ultimately build a software tool to estimate the background radioxenon
concentrations at IMS stations in an operational environment. One such currently running
project, called Xenon Background Estimation Tool (XeBET), aims to deliver an aggregation
of scientifically developed ideas into a software prototype. Ideas considered in XeBET are built
on atmospheric transport modelling (ATM) and radionuclide statistical expertise from
assessments in previous multilevel and multidisciplinary scientific investigations, specifically
from three ATM Challenges to predict radioxenon concentrations and a first Screening
Intercomparison Exercise to identify artificially added nuclear explosion signals. Whereas the
XeBET prototype may already be used for Expert Technical Analysis once demonstrated and
agreed upon after completion in 2023, its future successor project will focus on the operational
implementation. This presentation discusses XeBET’s context, the status of ideas and
prototyping, and assesses the challenges ahead for 2023 and beyond.