Use of Evolutionary Computation for Localizing Surface Emissions from Mars Orbit

Details Use of Evolutionary Computation for Localizing Surface Emissions from Mars Orbit Use of Evolutionary Computation for Localizing Surface Emissions from Mars Orbit

Sep 2008

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008dps....40.1506a&link_type=abstract

American Astronomical Society, DPS meeting #40, #15.06; Bulletin of the American Astronomical Society, Vol. 40, p.410

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High-precision targeting of point sources of atmospheric species outgassed from the Martian surface may prove to be a key element in the exploration of locales of potential subsurface geological and/or biological activity. In general, the atmospheric distribution of a signature species will be much more extended than the surface area from which the gas was emitted. In addition, the spatial resolution of orbital instruments is more extended that the point source zones.
With this in mind, we have developed a novel technique for deducing the surface locations of trace gas emission with an uncertainty of a few tens of kilometers using present-day observational capabilities combined with numerical modeling of the global distribution of the tracer species. This approach employs genetic algorithms to indirectly isolate plume source locations from limited data taken by a spacecraft instrument in orbit. We have coupled the Caltech/Cornell/JPL MarsWRF general circulation model (GCM) with an evolutionary computation model (ECM) developed at the JPL Center for Evolutionary Computation and Design (CECAD) to quickly and efficiently determine the plume source characteristics (latitude, longitude and duration) that best reproduce the spacecraft observations.

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