8–12 Jul 2019
University of Milano-Bicocca UNIMIB
Europe/Rome timezone

P4.2007 Development of the space-resolving flux detection technique for the localized radiation flux measurement in inertial confinement fusion

11 Jul 2019, 14:00
2h
Building U6 (University of Milano-Bicocca UNIMIB)

Building U6

University of Milano-Bicocca UNIMIB

Piazza dell’Ateneo Nuovo, 1 20126 Milan, Italy
BPIF Poster P4

Speaker

X. Xie (EPS 2019)

Description

See the full abstract here:
http://ocs.ciemat.es/EPS2019ABS/pdf/P4.2007.pdf

Space-resolving flux detection (SRFD) is a novel tool for the radiation field diagnostic within the hohlraum in indirect inertial confinement fusion, as it is useful to decouple the radiation fluxes from different positions experimentally[1-4]. The typical spatial coverage of the SRFD system is about 200 um, which is smaller than the size of the laser entrance hole (LEH), and the time resolution is about 150 ps, while uncertainty of the measured radiation flux is less than 15%. The radiation fluxes from the laser spot and re-emitted area within a vaccum cylindrical hohlraum are obtained, and good consistence is found between the experimental data and the numerical simulation with two-dimensional (2D) LARED simulation[1]. Then the radiation flux from the capsule within a gas-filled cylindrical hohlraum is obtained, and it is found to be consistent with the hydrodynamical simulation results. Moreover, this technique is also applied for the radiation flux measurement within octahedral spherical hohlraum, and radiation flux from the laser spot and re-emitted area are obtained, and it proves to be a necessary tool for the radiation field diagnostic in novel hohlraums with more than two LEHs.

[1] K. Ren, S. Liu, L. Hou, et al., Optics Express 23, A1072 (2015).
[2] Kuan Ren, Shenye Liu, Xufei Xie, et. al, Plasma Phys. Control. Fusion 59, 085006 (2017).
[3] X. Xie, K. Ren, H.Du, et al., Journal of Instrumentation 12, P08021 (2017).
[4] Xufei Xie, Huabing Du, Jinwen Chen, et.al, Rev. Sci. Instrum. 89, 063502 (2018)

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