CTBT Science and Technology Conference 2021 (SnT2021)

Session

T3.5 - Data Analysis Algorithms

O3.5

30 Jun 2021, 11:00

343. Impact of environmental backgrounds on atmospheric monitoring of nuclear explosions: selected results (O3.5-343)

Mr Harry Miley (Pacific Northwest National Laboratory (PNNL), Richland, WA, USA)

30/06/2021, 11:05

T3.5 - Data Analysis Algorithms

Oral

The International Monitoring System (IMS) was designed based on planned sensitivity estimates, such as radionuclide (RN) system minimum detectable concentration (MDC), but without knowledge of background levels. Recent background simulations and atmospheric transport modeling calculations show that for most of the Earth, using MDC values is still reasonable. However, for a number of locations,...

456. Radioxenon isotopic ratios from activation of stable xenon in releases from nuclear facilities in relation to fission sources visualized in multi-isotope-ratio plots (O3.5-456)

Ms Pouneh Tayyebi (Iran Nuclear Regulatory Authority, Tehran, Iran)

30/06/2021, 11:20

T3.5 - Data Analysis Algorithms

Oral

Evidence has shown that besides radioxenon from fission, release of activation-generated radioxenon can occasionally be observed at noble gas systems of the International Monitoring System (IMS). The literature appears to show conflicting results for the isotopic ratios from activation of stable xenon in the releases from nuclear research reactors (NRRs). This study uses ORIGEN simulations to...

573. Novel IDC software applications for Radionuclide data analysis (O3.5-573)

Mr Abdelhakim Gheddou (CTBTO Preparatory Commission, Vienna, Austria)

30/06/2021, 11:35

T3.5 - Data Analysis Algorithms

Oral

The CTBTO International Data Centre (IDC) initiated the development of novel software applications for modernizing automatic processing and interactive analysis of radionuclide data from the International Monitoring System (IMS).
The ongoing projects aim at completing the migration to open source license free software, unifying the processing tools for particulates and noble gas,...

462. Multicomponent seismic arrays: demonstrating their potential for improved event detection and characterisation (O3.5-462)

Ms Claire Labonne (Commissariat à l’énergie atomique et aux énergies alternatives (CEA), France )

30/06/2021, 11:55

T3.5 - Data Analysis Algorithms

Oral

IMS seismic arrays are predominantly formed using multiple vertical sensors with a single three-component (3-C) seismometer co-located at one site. The deployment of fully 3-C seismic arrays, such as ARCES (PS28) and SPITS (AS72), offers the possibility to take additional advantage of the coherency on the horizontal components. For the case of S-phases, this has the potential to significantly...

398. Regional waveform-correlation detection and location, for seismic events in and near Mongolia (O3.5-398)

Mr David P. Schaff (Lamont-Doherty Earth Observatory of Columbia University, New York, NY, USA)

30/06/2021, 12:10

T3.5 - Data Analysis Algorithms

Oral

We have engaged in broad-area regional monitoring for Mongolia and nearby regions, applying cross-correlation to long time windows for Lg-waves. For 2012 to 2016, using 4777 templates from a longer time-period, detections were made on searches of continuous data for a sparse network of IMS array stations, plus six long-running three-component open stations. Many candidate events were...

119. Comparing three-dimensional velocity models for seismic location accuracy using a consistent travel time framework (O3.5-119)

Mr Michael L. Begnaud (Los Alamos National Laboratory (LANL), Los Alamos, NM, USA)

30/06/2021, 12:25

T3.5 - Data Analysis Algorithms

Oral

Location algorithms have relied on simple, one-dimensional (1D) velocity models for fast, seismic event locations. The fast-computational speed of these models made them the preferred type of velocity model for operational needs. Higher-dimensional (2D-3D) seismic velocity models are becoming readily available and provide more accurate event locations over 1D models. The computational...