28 June 2021 to 2 July 2021
Europe/Vienna timezone

InfraPy, InfraGA/GeoAc, and stochprop: open-source software tools for infrasound signal analysis and propagation modeling at Los Alamos National Laboratory

P1.1-215
29 Jun 2021, 09:00
3h
Online

Online

e-Poster T1.1 - The Atmosphere and its Dynamic T1.1 e-poster session

Speaker

Mr Philip Blom (Los Alamos National Laboratory (LANL), Los Alamos, NM, USA)

Description

Infrasound research conducted at Los Alamos National Laboratory (LANL) in recent years has included development of tools for signal analysis, propagation modeling, and uncertainty quantification. Many of these tools have been licensed as open source software, made available for download at the LANL Seismoacoustics Github page (https://github.com/LANL-Seismoacoustics), and are utilized by scientists across the globe for a variety of national security, civil, and scientific applications. The InfraPy signal analysis suite includes state-of-the-art detection, association, localization, and yield estimation algorithms accessible through Python-based scripting and notebooks, a command line interface, as well as the InfraView graphical user interface. The InfraGA/GeoAc software is a propagation modeling tool capable of simulating the propagation of infrasonic signals through the atmosphere in the limit of geometric acoustics and includes a number of unique features such as eigenray identification, weakly non-linear waveform calculation, and propagation over realistic terrain. The stochprop library is an in-development tool that includes methods enabling quantification and reduction of propagation uncertainties for infrasound analysis. The capabilities of these tools and their application to recent seismoacoustic events of interest will be presented.

Promotional text

Open-source signal analysis and propagation tools for infrasound, particularly those quantifying uncertainty, support the international explosion monitoring community, promote wider civil and scientific applications, and provide LANL researchers with feedback on algorithms.

Primary author

Mr Philip Blom (Los Alamos National Laboratory (LANL), Los Alamos, NM, USA)

Co-author

Mr Jeremy Webster (Los Alamos National Laboratory (LANL), Los Alamos, NM, USA)

Presentation materials