File(s) under permanent embargo
Onboard assessment of XRF spectra using genetic algorithms for decision making on an autonomous underwater vehicle
journal contribution
posted on 2023-05-17, 10:49 authored by Breen, J, de Souza, P, Timms, GP, Robert OllingtonRobert OllingtonIn 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 autono- mous 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).
History
Publication title
Nuclear Instruments and Methods in Physics Research. Section B. Beam Interactions With Materials and AtomsVolume
269Issue
12Pagination
1341-1345ISSN
0168-583XDepartment/School
School of Information and Communication TechnologyPublisher
Elsevier Science BvPlace of publication
Po Box 211, Amsterdam, Netherlands, 1000 AeRights statement
The definitive version is available at http://www.sciencedirect.comRepository Status
- Restricted