Identification of unknown experimental parameters from noisy apertureless scanning near-field optical microscope data with an evolutionary procedure.
We determine a set of experimental parameters through the application of an evolutionary inversion procedure. The input to the algorithm is experimental apertureless scanning near-field optical microscope data. The performance of our inversion procedure is assessed by means of a comparison with a nonevolutionary technique.
Macías
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Laboratoire de Nanotechnologie et d'Instrumentation Optique, Université de Technologie de Troyes, 12, Rue Marie Curie, BP 2060, 10010 Troyes Cedex, France. demetrio.macias@utt.fr
Barchiesi
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D000465:Algorithms; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods; D018613:Microscopy, Confocal / Q000379:methods*; D015233:Models, Statistical; D013269:Stochastic Processes