Abstract
This paper demonstrates a simulation strategy that reduces the required computing resources in plasma simulations. This can be utilized to develop viable plasma-based laser amplifiers can be further extended to other systems that rely on a time-varying or nonlinear state
Highlights
There is significant international effort dedicated to developing ultrahigh-power systems for next-generation laser facilities such as the Extreme Light Infrastructure (ELI) [1,2]
Current high-power laser amplifiers use chirped-pulse amplification to prevent damage to their solid-state components caused by intense electromagnetic fields
III and IV above, we have considered amplification in a preformed plasma channel with on-axis base density n0 = 1.089 × 1018 cm−3 and channel radius rc = 61.4 μm, matched to a linearly polarized flat-top Gaussian-rise 790 nm wavelength pump with full width at half maximum (FWHM) rise τ = 100 fs, flat-top plateau duration T = 3.34 ps, peak dimensionless amplitude parameter a0 = 0.05 (Irms = 5.48 × 1015 W cm−2), and waist w0 = 25 μm
Summary
There is significant international effort dedicated to developing ultrahigh-power systems for next-generation laser facilities such as the Extreme Light Infrastructure (ELI) [1,2]. In addition to the direct impact on the development of next-generation laser systems (and their wide range of applications), there are many other physical systems where the (possibly time dependent) state of a prepared (and potentially nonlinear) system is probed by a counterpropagating pulse These powerful methods allow the same system to be probed numerous times using different probe pulses, propagation angles, or timings, without requiring simulation of the entire system each time. Another important application is in the development of plasma-based accelerators, where shaped prepulses (or electron bunches) can be used to condition the plasma prior to the arrival of the high-intensity driver to create a plasma channel, stimulate or control the injection process, or influence beam transport and emittance. We begin by introducing two different simulation methodologies based on the concept of the moving window, before comparing with results of full simulation
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