Abstract

Shock Ignition is considered as a relatively robust and efficient approach to inertial confinement fusion. A strong converging shock, which is used to ignite the fuel, is launched by a high power laser pulse with intensity in the range of 1015 − 1016 W/cm2 (at the wavelength of 351 nm). In the lower end of this intensity range the interaction is dominated by collisions while the parametric instabilities are playing a secondary role. This is manifested in a relatively weak reflectivity and efficient electron heating. The interaction is dominated by collective effects at the upper edge of the intensity range. The stimulated Brillouin and Raman scattering (SBS and SRS respectively) take place in a less dense plasma and cavitation provides an efficient collisionless absorption mechanism. The transition from collisional to collisionless absorption in laser plasma interactions at higher intensities is studied here with the help of large scale one-dimensional Particle-in-Cell (PIC) simulations. The relation between the collisional and collisionless processes is manifested in the energy spectrum of electrons transporting the absorbed laser energy and in the spectrum of the reflected laser light.

Highlights

  • In the Shock Ignition (SI) scheme [1] the fuel assembly and ignition phases are separated

  • It has been demonstrated that the laser energy is absorbed in density cavities, which are created and maintained by two coupled SRS processes forming a self-organized resonator between the zones of 1/4th and 1/16th of the critical density

  • This plasma response was attributed to the high initial plasma temperature, which results in strong Landau damping of SRS induced electron plasma waves with exception of the resonant points, where SRS is growing as an absolute parametric instability

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Summary

Introduction

In the Shock Ignition (SI) scheme [1] the fuel assembly and ignition phases are separated. The transition from collisional to collisionless absorption in laser plasma interactions at higher intensities is studied here with the help of large scale one-dimensional Particle-in-Cell (PIC) simulations.

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