Acta Optica Sinica, Volume. 42, Issue 5, 0514003(2022)

Backscatter Diagnostic System Implemented on Cluster Platform of 100 kJ Laser Facility and Experiment

Tao Xu*, Yulong Li, Xincheng Liu, Xiangming Liu, Zhichao Li, Tao Gong, Xiaoshi Peng, Ping Li, Dong Yang, Feng Wang**, and Jiamin Yang
Author Affiliations
  • Laser Fusion Research Center, China Academy of Engineering Physics, Mianyang, Sichuan 621900, China
  • show less

    In order to carry out the experimental study of laser plasma instability (LPI) on the laser device cluster platform with an output energy of 100kJ, a scattered light diagnosis system based on cluster configuration is built. The diagnosis system uses the diffuse reflector as the main light blocking, reflection, and sampling element, the imaging method is used to image the scattered light to the recording components such as iCCD (intensifier Charge Coupled Device) camera, and the sampling measurement method is used to obtain the spatial distribution, energy, spectrum, and time waveform of the scattered light. In the cluster physics experiment, the physical data obtained by the system are in good agreement with the results obtained by the physical simulation program. It shows that the scattering mechanism is mainly subbeam mechanism under the current conditions, and its action process mainly concentrates on the early stage before the plasma empties.

    Tools

    Get Citation

    Copy Citation Text

    Tao Xu, Yulong Li, Xincheng Liu, Xiangming Liu, Zhichao Li, Tao Gong, Xiaoshi Peng, Ping Li, Dong Yang, Feng Wang, Jiamin Yang. Backscatter Diagnostic System Implemented on Cluster Platform of 100 kJ Laser Facility and Experiment[J]. Acta Optica Sinica, 2022, 42(5): 0514003

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Lasers and Laser Optics

    Received: Jul. 25, 2021

    Accepted: Sep. 10, 2021

    Published Online: Mar. 8, 2022

    The Author Email: Xu Tao (xutzo@163.com), Wang Feng (xiaozei7566@163.com)

    DOI:10.3788/AOS202242.0514003

    Topics