| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1683039 | Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms | 2011 | 5 Pages |
Abstract
In order to optimise use of the limited resources (time, power) of an autonomous underwater vehicle (AUV) with a miniaturised X-ray fluorescence (XRF) spectrometer on board to carry out in situ autonomous chemical mapping of the surface of sediments with desired resolution, a genetic algorithm for rapid curve fitting is reported in this paper. This method quickly converges and provides an accurate in situ assessment of metals present, which helps the control system of the AUV to decide on future sampling locations. More thorough analysis of the available data could be performed once the AUV has returned to the base (laboratory).
Keywords
Related Topics
Physical Sciences and Engineering
Materials Science
Surfaces, Coatings and Films
Authors
Jeremy Breen, P. de Souza, G.P. Timms, R. Ollington,