An Appraisal of the Performance and Characteristics of Summary Rays Calculated for the SALSA3D Traveltime Dataset
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
The SALSA3D tomographic model provides a crucial community resource for improving the quality (in terms of both accuracy and precision) of predictions of the traveltimes of seismic waves and therefore improving our ability to locate anthropogenic or natural seismic events. Constructing the requisite tomographic model requires addressing the challenges implied by a massive and growing dataset of traveltime measurements. This study explores one approach to tackle this challenge: the use of summary rays, which average traveltime measurements from sources within evenly spaced cells, thereby eliminating redundant data.
- Research Organization:
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA), Office of Defense Nuclear Nonproliferation
- DOE Contract Number:
- NA0003525
- OSTI ID:
- 2517933
- Report Number(s):
- SAND--2025-01059
- Country of Publication:
- United States
- Language:
- English
Similar Records
Crustal Scale Travel Time Prediction with the SALSA3D Framework and Machine Learning
Robust and efficient upwind finite-difference traveltime calculations in three dimensions
Minimum traveltime calculation in 3-D graph theory
Technical Report
·
Sat Apr 01 00:00:00 EDT 2023
·
OSTI ID:2431496
Robust and efficient upwind finite-difference traveltime calculations in three dimensions
Journal Article
·
Sat Jul 01 00:00:00 EDT 1995
· Geophysics
·
OSTI ID:100746
Minimum traveltime calculation in 3-D graph theory
Journal Article
·
Thu Oct 31 23:00:00 EST 1996
· Geophysics
·
OSTI ID:428198