Method for the optical measurement of size and complex index of laser damage precursors in optical components

2004 ◽  
Author(s):  
Laurent Gallais ◽  
Philippe Voarino ◽  
Jean-Yves Natoli ◽  
Claude Amra
Keyword(s):  
Optical Measurement ◽  
Laser Damage ◽  
Optical Components ◽  
Complex Index

Laser damage performance of fused silica optical components measured on the beamlet laser at 351 nm

1999 ◽  
Author(s):  
Mark R. Kozlowski ◽  
Ron P. Mouser ◽  
Stephen M. Maricle ◽  
Paul J. Wegner ◽  
Timothy L. Weiland
Keyword(s):  
Fused Silica ◽  
Laser Damage ◽  
Optical Components

Laser damage resistance of optical components in sub-picosecond regime in the infrared

2015 ◽  
Author(s):  
Martin Sozet ◽  
Jérôme Néauport ◽  
Eric Lavastre ◽  
Nadja Roquin ◽  
Laurent Gallais ◽  
...  
Keyword(s):  
Laser Damage ◽  
Optical Components ◽  
Damage Resistance

scholarly journals Phase Extraction from Single Interferogram Including Closed-Fringe Using Deep Learning

2019 ◽  
Vol 9 (17) ◽  
pp. 3529 ◽  
Author(s):  
Daichi Kando ◽  
Satoshi Tomioka ◽  
Naoki Miyamoto ◽  
Ryosuke Ueda
Keyword(s):  
Fourier Transform ◽  
Deep Learning ◽  
Phase Shift ◽  
Optical Measurement ◽  
Phase Image ◽  
Transform Method ◽  
Optical Components ◽  
Fourier Transform Method ◽  
The Fourier Transform ◽  
Trained Network

In an optical measurement system using an interferometer, a phase extracting technique from interferogram is the key issue. When the object is varying in time, the Fourier-transform method is commonly used since this method can extract a phase image from a single interferogram. However, there is a limitation, that an interferogram including closed-fringes cannot be applied. The closed-fringes appear when intervals of the background fringes are long. In some experimental setups, which need to change the alignments of optical components such as a 3-D optical tomographic system, the interval of the fringes cannot be controlled. To extract the phase from the interferogram including the closed-fringes we propose the use of deep learning. A large amount of the pairs of the interferograms and phase-shift images are prepared, and the trained network, the input for which is an interferogram and the output a corresponding phase-shift image, is obtained using supervised learning. From comparisons of the extracted phase, we can demonstrate that the accuracy of the trained network is superior to that of the Fourier-transform method. Furthermore, the trained network can be applicable to the interferogram including the closed-fringes, which is impossible with the Fourier transform method.

scholarly journals Laser Damage of Optical Components

1977 ◽  
Vol 5 (3) ◽  
pp. 209-216
Author(s):  
Kunio YOSHIDA
Keyword(s):  
Laser Damage ◽  
Optical Components
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