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Specular reflectance calibration based on integral cavity output spectroscopy
Author(s): Xiaohui Zhu; Wei Rao; Gaoping Fang; Guangyu Wang; Junling Song
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Paper Abstract

To determine the reflectance of the optical resonator lens, an open optical resonant cavity and a long-path absorption reference cell (absorption length has already known) were build up. The measurement is executed with a spectral line of 13146.58cm-1 in the atmospheric environment. By adjusting the resonator cavity length, the integrated absorbance at different cavity lengths is obtained and compared with the integrated absorbance of the long-path absorption cell to obtain the cavity length gain coefficient. The average value of the gain coefficient measured in the experiment is 85.1782, the standard deviation is 0.420123, and the average reflectivity is calculated as 0.988396, the standard deviation is 0.000056324. To determine the accuracy of the reflectance, we adjusted the cavity length to 17cm, and measured the oxygen absorption spectral signal in the atmospheric environment (@288.5K,1atm).The measured integral absorbance A is 0.0574223(S(δ)=0.000436793), the calculated oxygen component concentration X=20.86%, compared with the value measured by the oxygen concentration meter, the error ∆=0.0031%. The experimental results show that this system can effectively carry out calibration work of cavity mirror reflectivity, at the same time, it also proves that the system has the ability to measure weak-oxygen spectrum absorption signals under short-distance conditions.

Paper Details

Date Published: 12 December 2018
PDF: 10 pages
Proc. SPIE 10846, Optical Sensing and Imaging Technologies and Applications, 108462N (12 December 2018); doi: 10.1117/12.2505562
Show Author Affiliations
Xiaohui Zhu, Space Engineering Univ. (China)
Wei Rao, Space Engineering Univ. (China)
Gaoping Fang, Space Engineering Univ. (China)
Guangyu Wang, Space Engineering Univ. (China)
Junling Song, Space Engineering Univ. (China)

Published in SPIE Proceedings Vol. 10846:
Optical Sensing and Imaging Technologies and Applications
Mircea Guina; Haimei Gong; Jin Lu; Dong Liu, Editor(s)

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