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Loss prediction of three-level amplified spontaneous emission sources in radiation environment |
| Shen Tan(谭深), Yan Li(李彦), Hao-Shi Zhang(张浩石)†, Xiao-Wei Wang(王晓伟), and Jing Jin(金靖) |
| School of Instrument Science and Opto-electronics Engineering, BeiHang University, Beijing 100191, China |
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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.
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Received: 15 November 2021
Revised: 11 December 2021
Accepted manuscript online: 16 December 2021
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PACS:
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42.81.-i
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(Fiber optics)
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42.81.Pa
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(Sensors, gyros)
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42.88.+h
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(Environmental and radiation effects on optical elements, devices, and systems)
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61.72.jn
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(Color centers)
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| Fund: Project supported by the Aeronautical Science Foundation of China (Grant No. 20170851007). |
Corresponding Authors:
Hao-Shi Zhang
E-mail: zhs2016@buaa.edu.cn
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Cite this article:
Shen Tan(谭深), Yan Li(李彦), Hao-Shi Zhang(张浩石), Xiao-Wei Wang(王晓伟), and Jing Jin(金靖) Loss prediction of three-level amplified spontaneous emission sources in radiation environment 2022 Chin. Phys. B 31 064211
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[1] Wysocki P F, Digonnet M J F, Kim B Y and Shaw H J 1994 J. Lightw. Technol. 12 550
[2] Wang L A and Su C D 1999 J. Lightw. Technol. 17 2307
[3] Friebele E J, Askins C G, Miller G A, Peele J R and Wasserman L R 2004 Proc. SPIE 5554 120
[4] Peng T S and Wang L A 2012 IEEE Photonic. Technol. Lett. 24 1340
[5] Li M, Song N F, Jin J, Wang X Q and Kang R 2012 Optics 123 1542
[6] Zotov K V, Likhachev M E, Tomashuk A L, Bubnov M M, Yashkov M V, Guryanov A N and Klyamkin S N 2013 Opt. Fiber Technol. 19 456
[7] Jin J, Wang X Q, Lin S and Song N F 2012 Chin. Phys. B 21 094220
[8] Cai W, Song N F, Jin J, Song J M, Li W, Luo W Y and Xu X B 2017 Chin. Phys. B 26 114211
[9] Gilard O, Thomas J, Troussellier L, Myara M, Signoret P, Burov E and Sotom M 2012 Appl. Opt. 51 2230
[10] Williams G M and Friebele E J 1998 4th European Conference on Radiation and its Effects on Components and Systems
[11] Williams G M, Putnam M A and Friebele E J 1996 Proc. SPIE 2811 30
[12] Berné O, Caussanel M and Gilard O 2004 Photonic. Technol. Lett. 16 2227
[13] Caussanel M, Gilard O, Sotom M, Signoret P and Gasiot J 2005 Electro. Lett. 41 168
[14] Borgermans P and Brichard B 2002 IEEE Trans. Nucl. Sci. 49 1439
[15] Chu T W, Wang P and Zhu C 2020 J. Lightw. Technol. 38 966
[16] Jin J, Li Y, Zhang Z C, Wu C X and Song N F 2016 Chin. Phys. B 25 084213
[17] Gilard O and Thomas J 2012 Appl. Opt. 51 2230
[18] Williams G M, Wright B M and Mack W D 1999 Proc. SPIE 3848 271
[19] Williams G M, Putnam M A, Askins C G, Gingerich M E and Friebele E J 1993 Proc. SPIE 1791 274
[20] Nassau K and Prescott B E 1975 Phys. Status Solidi (a) 29 659
[21] Girard S, Tortech B, Régnier E, Uffelen M, Member V, Gusarov A, Ouerdane Y and Baggio J 2007 IEEE Trans. Nucl. Sci. 54 2426
[22] Hideo H, Hiroshi K 1994 7$th International Conference on Radiation Effects in Insulators 91 395
[23] Levy P W 1961 Phys. Rev. 123 1226 |
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