Title: Optothermal depth profiling by neural network infrared radiometry signal recognition
Authors: Ravi, Jyotsna ×
Lu, Y
Longuemart, Stephane
Paoloni, S
Pfeiffer, Helge
Thoen, Jan
Glorieux, Christ #
Issue Date: Jan-2005
Publisher: Amer inst physics
Series Title: Journal of Applied Physics vol:97 issue:1 pages:014701
Abstract: The feasibility of a neural network radiometric photothermal depth profiling method is verified using well-defined artificial samples with varying optical properties across the layers. The signal calculation model is shown to be accurate and the neural network approach to solve the inverse problem is shown to be feasible. Both from simulated and experimental radiometric signals, accurate reconstructions are obtained for heat source and optical-absorption coefficient profiles. (C) 2005 American Institute of Physics.
ISSN: 0021-8979
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Soft Matter and Biophysics
Department of Materials Engineering - miscellaneous
× corresponding author
# (joint) last author

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