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Loss prediction of three-level amplified spontaneous emission sources in radiation environment

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【作者】 谭深李彦张浩石王晓伟金靖

【Author】 Shen Tan;Yan Li;Hao-Shi Zhang;Xiao-Wei Wang;Jing Jin;School of Instrument Science and Opto-electronics Engineering, BeiHang University;

【通讯作者】 张浩石;

【机构】 School of Instrument Science and Opto-electronics Engineering, BeiHang University

【摘要】 A model of three-level amplified spontaneous emission(ASE) sources, considering radiation effect, is proposed to predict radiation induced loss of output power in radiation environment. Radiation absorption parameters of ASE sources model are obtained by the fitting of color centers generation and recovery process of gain loss data at lower dose rate. Gain loss data at higher dose is applied for self-validating. This model takes both the influence of erbium ions absorption and photon bleaching effect into consideration, which makes the prediction of different dose and dose rate more accurate and flexible. The fitness value between ASE model and gain loss data is 99.98%, which also satisfies the extrapolation at the low dose rate. The method and model may serve as a valuable tool to predict ASE performance in harsh environment.

【Abstract】 A model of three-level amplified spontaneous emission(ASE) sources, considering radiation effect, is proposed to predict radiation induced loss of output power in radiation environment. Radiation absorption parameters of ASE sources model are obtained by the fitting of color centers generation and recovery process of gain loss data at lower dose rate. Gain loss data at higher dose is applied for self-validating. This model takes both the influence of erbium ions absorption and photon bleaching effect into consideration, which makes the prediction of different dose and dose rate more accurate and flexible. The fitness value between ASE model and gain loss data is 99.98%, which also satisfies the extrapolation at the low dose rate. The method and model may serve as a valuable tool to predict ASE performance in harsh environment.

【基金】 supported by the Aeronautical Science Foundation of China (Grant No. 20170851007)
  • 【文献出处】 Chinese Physics B ,中国物理B , 编辑部邮箱 ,2022年06期
  • 【分类号】TL7
  • 【下载频次】13
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