• High Power Laser Science and Engineering
  • Vol. 11, Issue 6, 06000e91 (2023)
Zhen-Zhe Lei1、3, Yan-Jun Gu1、3、*, Zhan Jin1、3, Shingo Sato1、3, Alexei Zhidkov1、3, Alexandre Rondepierre1、3, Kai Huang2、3, Nobuhiko Nakanii2、3, Izuru Daito2、3, Masakai Kando1、2、3, and Tomonao Hosokai1、3
Author Affiliations
  • 1SANKEN (Institute of Scientific and Industrial Research), Osaka University, Ibaraki, Osaka, Japan
  • 2Kansai Institute for Photon Science (KPSI), National Institutes for Quantum Science and Technology (QST), Kizugawa-city, Kyoto, Japan
  • 3RIKEN SPring-8 Center, Sayo, Hyogo, Japan
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    DOI: 10.1017/hpl.2023.82 Cite this Article Set citation alerts
    Zhen-Zhe Lei, Yan-Jun Gu, Zhan Jin, Shingo Sato, Alexei Zhidkov, Alexandre Rondepierre, Kai Huang, Nobuhiko Nakanii, Izuru Daito, Masakai Kando, Tomonao Hosokai. Supersonic gas jet stabilization in laser–plasma acceleration[J]. High Power Laser Science and Engineering, 2023, 11(6): 06000e91 Copy Citation Text show less
    (a) Sketch of the simple-conical nozzle. (b) Schematic of the fluid dynamics simulation domains for the simple-conical nozzle.
    Fig. 1. (a) Sketch of the simple-conical nozzle. (b) Schematic of the fluid dynamics simulation domains for the simple-conical nozzle.
    (a) Profiles of gas density, pressure and Mach number along the vertical direction from the connection tube to the exit. The density and pressure are normalized to the initial condition.
    Fig. 2. (a) Profiles of gas density, pressure and Mach number along the vertical direction from the connection tube to the exit. The density and pressure are normalized to the initial condition.
    (a) Velocity distribution (normalized to the sound speed) and streamlines in the gas reservoir part. (b) Distribution of the turbulent kinetic energy in the gas reservoir part with a logarithmic scale. (c), (d) Velocity distributions and streamlines for the cases of left and down shift in the reservoir, respectively.
    Fig. 3. (a) Velocity distribution (normalized to the sound speed) and streamlines in the gas reservoir part. (b) Distribution of the turbulent kinetic energy in the gas reservoir part with a logarithmic scale. (c), (d) Velocity distributions and streamlines for the cases of left and down shift in the reservoir, respectively.
    (a) Gas density and (b) pressure profiles at the nozzle throat obtained in the different initial shift cases (black-none, red-up, blue-down, green-left, orange-right), respectively. The triangle marker directions refer to the shift directions of the central obstacle.
    Fig. 4. (a) Gas density and (b) pressure profiles at the nozzle throat obtained in the different initial shift cases (black-none, red-up, blue-down, green-left, orange-right), respectively. The triangle marker directions refer to the shift directions of the central obstacle.
    (a) Sketch of the converging–diverging nozzle. (b) Schematic of the fluid dynamics simulation domains for the converging–diverging nozzle. (c) Velocity distributions (normalized to the sound speed) and streamlines inside the stilling chamber part. The subplots from left to right correspond to the non-, up-, down-, left- and right-shift cases, respectively. (d) The density profiles in the converging region, diverging region and 1 mm above the exit are compared between the up-shift and down-shift cases.
    Fig. 5. (a) Sketch of the converging–diverging nozzle. (b) Schematic of the fluid dynamics simulation domains for the converging–diverging nozzle. (c) Velocity distributions (normalized to the sound speed) and streamlines inside the stilling chamber part. The subplots from left to right correspond to the non-, up-, down-, left- and right-shift cases, respectively. (d) The density profiles in the converging region, diverging region and 1 mm above the exit are compared between the up-shift and down-shift cases.
    Experimental schematic diagram of the Mach–Zehnder interferometer setup.
    Fig. 6. Experimental schematic diagram of the Mach–Zehnder interferometer setup.
    Electron beam pointing distributions obtained in experiments with (a) the simple-conical nozzle and (b) the converging–diverging nozzle.
    Fig. 7. Electron beam pointing distributions obtained in experiments with (a) the simple-conical nozzle and (b) the converging–diverging nozzle.
    S-C nozzleC-D nozzle
    Std. (%)4.7/4.51/1.3
    Max. (%)13.5/132.5/3
    Table 1. S-C nozzle and C-D nozzle represent the simple-conical nozzle and the converging–diverging nozzle, respectively. (Values not in bold are taken from the fluid dynamics simulations, while those in bold are obtained from the experimental measurements. Std. represents the standard deviation from 20 shots in the experiment and five cases in simulations. Max. represents the maximum discrepancy in the 20 shots in the experiment and five cases in simulations.)
    Zhen-Zhe Lei, Yan-Jun Gu, Zhan Jin, Shingo Sato, Alexei Zhidkov, Alexandre Rondepierre, Kai Huang, Nobuhiko Nakanii, Izuru Daito, Masakai Kando, Tomonao Hosokai. Supersonic gas jet stabilization in laser–plasma acceleration[J]. High Power Laser Science and Engineering, 2023, 11(6): 06000e91
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