Low-frequency waves produced by a package of laser plasma clouds in a magnetized background

Tishchenko, V. N.; Berezutsky, A. G.; Boyarintsev, E. L.; Zakharov, Yu. P.; Мирошниченко, И. Б.; Posukh, V. G.; Ponomarenko, A. G.; Chibranov, A. A.; Шайхисламов, И. Ф.

doi:10.1088/1742-6596/1404/1/012100

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“…A possible scheme for maintaining the LPP uniformity and density over longer distances is the use of pulse shaping to produce a train of laser pulses separated in time 34,35 . If the pulses are spaced sufficiently close together, their velocity distributions will cause them to merge together to form a quasicontinuous LPP.…”

Section: Modeling Lpp Density Dispersionmentioning

confidence: 99%

Laser-produced plasmas as drivers of laboratory collisionless quasi-parallel shocks

et al. 2020

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The creation of a repeatable collisionless quasi-parallel shock in the laboratory would provide a valuable platform for experimental studies of space and astrophysical shocks. However, conducting such an experiment presents substantial challenges. Scaling the results of hybrid simulations of quasi-parallel shock formation to the laboratory highlights the experimentally demanding combination of dense, fast, and magnetized background and driver plasmas required. One possible driver for such experiments are high-energy laser-produced plasmas (LPPs). Preliminary experiments at the University of California Los Angeles have explored LPPs as drivers of quasi-parallel shocks by combining the Phoenix Laser Laboratory [Niemann et al. Journal of Instrumentation, 7, 2012] with the Large Plasma Device (LAPD) [Gekelman et al. Review of Scientific Instruments, 87, 2016]. Beam instabilities and waves characteristic of the early stages of shock formation are observed, but spatial dispersion of the laser-produced plasma prematurely terminates the process. This result is illustrated by experimental measurements and Monte-Carlo calculations of LPP density dispersion. The experimentally-validated Monte-Carlo model is then applied to evaluate several possible approaches to mitigating LPP dispersion in future experiments.

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Section: Modeling Lpp Density Dispersionmentioning

confidence: 99%