Robust Explosion Screening Based on Moment Tensor Angular Distance
Description:
We extend moment tensor screening methods to account for variation in waveform misfit not just around the maximum likelihood solution, but over all moment tensor space. By integrating over the entire likelihood surface, we show how to obtain 1D marginal angular distance distributions that emphasize source-type information important for explosion monitoring, remain reliable at low magnitudes, and allow for robust screening and uncertainty analysis. By comparing ground truth explosions and nearby earthquakes, we demonstrate that the new method provides reliable source-type screening even in challenging scenarios involving low signal-to-noise ratios, cycle skipping, and explosion-dipole tradeoffs.
Session: Earthquake Source Parameters: Theory, Observations and Interpretations [Poster]
Type: Poster
Date: 4/18/2023
Presentation Time: 08:00 AM (local time)
Presenting Author: Ryan Modrak
Student Presenter: No
Invited Presentation:
Authors
Ryan Modrak
Presenting Author
Corresponding Author
rmodrak@lanl.gov
Los Alamos National Laboratory
Jonas Kintner
jkintner@lanl.gov
Los Alamos National Laboratory
Julien Thurin
jthurin@alaska.edu
University of Alaska
Carl Tape
ctape@alaska.edu
University of Alaska
Robust Explosion Screening Based on Moment Tensor Angular Distance
Category
Earthquake Source Parameters: Theory, Observations and Interpretations