You have requested a machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Neither SPIE nor the owners and publishers of the content make, and they explicitly disclaim, any express or implied representations or warranties of any kind, including, without limitation, representations and warranties as to the functionality of the translation feature or the accuracy or completeness of the translations.
Translations are not retained in our system. Your use of this feature and the translations is subject to all use restrictions contained in the Terms and Conditions of Use of the SPIE website.
3 December 2019A theory for the evaluation of the quality of laser damage metrics (Conference Presentation)
The quality of a measurement is a combination of its accuracy and precision. Namely, the ability to repeatedly get the correct result and to agree with results from other’s measurements. This paper develops a theory for the evaluation of the laser damage performance of an optic, a laser damage metric. The theory is formulated as the convolution of the distributions of the underlying physical property, the test procedure and the traceable calibration. This theory is applied to several candidate laser damage metrics. The driving factors on the quality of metrics are isolated and discussed. The paper concludes with a brief discussion of each metric’s driving factor limiting measurement quality and lessons learned for the design of future metrics.
Jonathan W. Arenberg
"A theory for the evaluation of the quality of laser damage metrics (Conference Presentation)", Proc. SPIE 11173, Laser-induced Damage in Optical Materials 2019, 1117304 (3 December 2019); https://doi.org/10.1117/12.2536373
The alert did not successfully save. Please try again later.
Jonathan W. Arenberg, "A theory for the evaluation of the quality of laser damage metrics (Conference Presentation)," Proc. SPIE 11173, Laser-induced Damage in Optical Materials 2019, 1117304 (3 December 2019); https://doi.org/10.1117/12.2536373