BaGa4Se7-based 7−15 µm tunable broadband optical parametric amplifier pumped around 2 µm

被引:0
作者
Hu, Zhixuan [1 ,2 ]
Gu, Xingbin [2 ]
Yao, Jiyong [3 ]
Yuan, Peng [2 ]
Zhang, Dongfang [2 ]
Wang, Jing [2 ]
Xie, Guoqiang [2 ]
Qian, Liejia [1 ,2 ]
Ma, Jingui [2 ]
机构
[1] Tsung-Dao Lee Institute, Shanghai Jiao Tong University, Shanghai
[2] Key Laboratory for Laser Plasmas (MOE), School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai
[3] Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Beijing
基金
中国国家自然科学基金;
关键词
Fiber optic sensors - Optical parametric amplifiers - Optical parametric oscillators - Optical pumping - Optically pumped lasers - Parametric amplifiers - Ultrashort pulses;
D O I
10.1364/OL.543119
中图分类号
学科分类号
摘要
The non-oxide BaGa4Se7 (BGSe) crystal with broad transparency range, large nonlinearity, and high damage threshold has been widely utilized to build optical parametric oscillators/amplifiers that convert the well-developed near-infrared pump laser around 1 µm into the developing mid-infrared radiation. However, the inherent narrow phase-matching bandwidth of BGSe with a pump around 1 µm hampers the generation of ultrashort mid-infrared pulses. Here, we demonstrate that by pumping the BGSe crystal around 2 µm, it is possible to achieve a sufficient phase-matching bandwidth to support ultrashort pulses across a broad mid-infrared spectral range. In the experiments, two synchronized 1 kHz optical parametric chirped-pulse amplification sources centered at 2.35 µm and 3.1 µm are used to pump and seed a BGSe-based optical parametric amplifier, generating 52 µJ sub-four-cycle pulses at 9.7 µm. The central wavelength of the generated mid-infrared pulse can be tuned from 7 to 15 µm by finely adjusting the pump and seed wavelengths as well as the crystal orientation. These results reveal the enormous potential and bright prospects of BGSe for generating ultrashort intense pulses in the long-wave infrared region. © 2025 Optica Publishing Group. All rights, including for text and data mining (TDM), Artificial Intelligence (AI) training, and similar technologies, are reserved.
引用
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页码:916 / 919
页数:3
相关论文
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