The Laboratory has an extensive effort conducting research and development in the areas of atmospheric, earth and energy sciences. Given the diverse range of physical phenomena in which the Laboratory works, many novel capabilities in the signal and image sciences have been developed to support these activities. Seismic array processing, climate modeling and gravity gradiometry, to name a few, are application areas in which the signal and image sciences are used extensively to extract information from corrupted data, and model geophysical data.
The Laboratory has a long history in bioscience research. The signal and image sciences provide important tools for the analysis of experimental data, and techniques for modeling complex simulations. Catalytic template matching and prediction of adverse drug reactions are two examples of recent work in this area.
The Bayesian Hierarchical Seismic Event Locator (Bayesloc) uses a Markov-Chain Monte Carlo (MCMC) approach to simultaneously locate multiple seismic events while correcting for many types of systematic error.