Hot spot mixing is one of the key factors affecting the ignition of laser driven inertial confinement fusion. During the implosion compression process, due to factors such as diffusion or hydrodynamic instability the shell material will be fed into the hot spot and mix with the internal fuel, resulting in a decrease in the temperature of the hot spot and an increase in bremsstrahlung radiation losses, severely restricting fusion performance. At present, the National Ignition Facility in the United States mainly uses Ross filters for imaging or specific energy point crystal spectrometers to quantitatively diagnose the average mixing mass of hot spot for each implosion experiment. However, this method has significant uncertainty because the temperature volume average model is used, which represents the entire hot spot with a single temperature. This paper focuses on the state parameter characteristics of an implosion hot spot driven by 100kJ energy, and designs a two-temperature modeling method for the radial distribution of electron temperature under different mixing zone widths of the hot spot. The CH material mixing diagnostic data of the implosion hot spot is obtained by the ratio of different energy band bremsstrahlung intensities to neutron yield, and a forward fitting analysis method for multi band imaging is developed by combining the quantitative calibration data of the energy spectrum response of the imaging system, contributing to reduce the analytical uncertainty of hot spot electron temperature and mixing mass. In experiments with good symmetry of hot spots, fitting analysis of the radial distribution of electron temperature was conducted. Compared with traditional single temperature models, two-temperature modeling method reflects the sensitivity of the radial distribution of electron temperature and preliminarily explores the diagnostic method of the spatial distribution of hot spot mixing.

Inertial confinement fusion,diagnosis of hot spot mix,multi-channel Ross filter imaging,two-temperature modeling method