From Weapons to Radiological Security and Risk Analysis: It?s not just about consequences
Abstract not provided.
Publications
Cesium Chloride: Risks and Alternatives
Abstract not provided.
Science and International Policy: Dirty Bomb Case Study
Abstract not provided.
Sandia's Contributions to NA-21 Mission
Abstract not provided.
The Science of Dirty Bombs: How it Shapes U.S. Policy
Abstract not provided.
RISK CONTEXT FOR RADIOLOGICAL MATERIAL: HOW TO ASSESS THREATS AND CONSEQUENCES
Abstract not provided.
RISK CONTEXT FOR RADIOLOGICAL MATERIAL: HOW TO ASSESS THREATS AND CONSEQUENCES
Abstract not provided.
Risk and the Economic Impacts of a Radiological Dispersal Device (RDD)
Abstract not provided.
Security Risks Posed by a Cs-137 Radiological Dispersal Device (RDD)
Abstract not provided.
ORS Economic Impact Study
Abstract not provided.
The Role of National Laboratories Supporting the Office of Radiological Security (ORS)
Abstract not provided.
2017 RDD Economics Impact Study
Abstract not provided.
RDD Consequences
Abstract not provided.
Radioactive Source Use and Options to Reduce Security Risk
Abstract not provided.
A comparison of methods for 3D target localization from seismic and acoustic signatures
An important application of seismic and acoustic unattended ground sensors (UGS) is the estimation of the three dimensional position of an emitting target. Seismic and acoustic data derived from UGS systems provide the taw information to determine these locations, but can be processed and analyzed in a number of ways using varying amounts of auxiliary information. Processing methods to improve arrival time picking for continuous wave sources and methods for determining and defining the seismic velocity model are the primary variables affecting the localization accuracy. Results using field data collected from an underground facility have shown that using an iterative time picking technique significantly improves the accuracy of the resulting derived target location. Other processing techniques show little advantage over simple crosscorrelation along in terms of accuracy, but may improve the ease with which time picks can be made. An average velocity model found through passive listening or a velocity model determined from a calibration source near the target source both result in similar location accuracies, although the use of station correction severely increases the location error.
Seismic and acoustic signal identification algorithms
Proceedings of SPIE - The International Society for Optical Engineering
This paper will describe an algorithm for detecting and classifying seismic and acoustic signals for unattended ground sensors. The algorithm must be computationally efficient and continuously process a data stream in order to establish whether or not a desired signal has changed state (turned-on or off). The paper will focus on describing a Fourier-based technique that compares the running power spectral density estimate of the data to a predetermined signature in order to determine if the desired signal has changed state. How to establish the signature and the detection thresholds will be discussed as well as the theoretical statistics of the algorithm for the Gaussian noise case with results from simulated data. Actual seismic data results will also be discussed along with techniques used to reduce false alarms due to the inherent nonstationary noise environments found with actual data.
16 Results