Interactive analysis of the results of NET-VISA, a Bayesian inference system, in CTBTO’s International Data Centre bulletin production

• Autorzy: Mohamed Ali Sherif , Qorbani Ehsan , Le Bras Ronan , Rambolamanana Gerard

Identyfikatory

DOI

10.1007/s11600-024-01398-0

• Języki publikacji: EN

Abstrakty

EN

The Global Association model is a crucial tool in seismic data analysis at the International Data Centre (IDC) of the Compre- hensive Nuclear-Test-Ban Treaty Organization. However, it faces challenges due to its limitations in accurately associating seismic events on a global scale. Over the past years, attempts have been undertaken to tackle these issues by introducing the Network Processing Vertically Integrated Seismic Analysis (NET-VISA) algorithm, specifically designed to enhance seismic event association across the globe. NET-VISA uses a machine learning Bayesian approach to solve the automatic association problem. NET-VISA has been implemented in operation as an additional automatic event scanner tool since January 2018. In this study, we assess the effect of the NET-VISA automatic scanner on the IDC output REB and LEB bulletins. We used three distinct time periods to evaluate the NET-VISA performance. The results show a 4.6% increase in the number of LEB events after including the NET-VISA scanner in operation, with an average of 7 additional events per day, and an increase of 17.90% in the number of scanned events. A comparison between the different bulletins in distinct periods shows NET- VISA is beneficial to build more valid events, providing opportunities to improve nuclear-test-ban monitoring. However, NET-VISA exhibits slightly reduced performance for events occurring at depths exceeding 300 km.

Słowa kluczowe

EN

NET-VISA; network processing; International Monitoring System; International Data Centre; IDC; IMS; CTBTO

PL

NET-VISA; przetwarzanie sieciowe; Międzynarodowy System Monitorowania; Międzynarodowe Centrum Danych

• Wydawca: Instytut Geofizyki PAN ; Springer
• Czasopismo: Acta Geophysica
• Rocznik: 2025
• Tom: Vol. 73, no. 1
• Strony: 71--81
• Opis fizyczny: Bibliogr. 28 poz.

Twórcy

autor

Mohamed Ali Sherif

• Preparatory Commission for the Comprehensive Nuclear- Test-Ban Treaty Organization (CTBTO), International Data Centre (IDC), Vienna, Austria
• National Research Institute of Astronomy and Geophysics (NRIAG), Helwan, Cairo 11421, Egypt

• https://orcid.org/0000-0002-9293-6177

autor

Qorbani Ehsan

• Preparatory Commission for the Comprehensive Nuclear- Test-Ban Treaty Organization (CTBTO), International Data Centre (IDC), Vienna, Austria

autor

Le Bras Ronan

• Independent Scientific Consultant, Vienna, Austria

autor

Rambolamanana Gerard

• Preparatory Commission for the Comprehensive Nuclear- Test-Ban Treaty Organization (CTBTO), International Data Centre (IDC), Vienna, Austria

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).