2018
DOI: 10.1063/1.5020393
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Particle velocity distribution in a three-dimensional dusty plasma under microgravity conditions

Abstract: The velocity distribution function of dust particles immersed in a plasma was investigated under microgravity conditions. A three-dimensional (3D) cloud of polymer microspheres was suspended in a neon plasma, in the PK-4 instrument onboard the International Space Station (ISS). These dust particles were tracked using video microscopy in a cross section of the 3D dust cloud. The velocity distribution function (VDF) is found to have a non-Maxwellian shape with high-energy tails; it is fit well by a combination o… Show more

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Cited by 9 publications
(6 citation statements)
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“…The profiles are characteristic of a strongly correlated collisionless electron bunch trapped in the bubble quadratic potential and immersed in a laser radiation field [31]. Prior observations of kappa-distributed electrons have been made mainly in space or dusty plasmas [32][33][34][35]. Under optimized conditions using circularly polarized drive pulses, we obtain quasi mono-energetic electron beams with energy 𝐸 𝑏 ~15 MeV and ∆𝜃 𝑑𝑖𝑣 < 7 mrad FWHM divergence.…”
Section: Introductionmentioning
confidence: 93%
“…The profiles are characteristic of a strongly correlated collisionless electron bunch trapped in the bubble quadratic potential and immersed in a laser radiation field [31]. Prior observations of kappa-distributed electrons have been made mainly in space or dusty plasmas [32][33][34][35]. Under optimized conditions using circularly polarized drive pulses, we obtain quasi mono-energetic electron beams with energy 𝐸 𝑏 ~15 MeV and ∆𝜃 𝑑𝑖𝑣 < 7 mrad FWHM divergence.…”
Section: Introductionmentioning
confidence: 93%
“…In Fig. 2a, we confront them with independent observations 40 of velocity distributions of a plasma under micro-gravity conditions, obtained through the PK-4 instrument on-board the International Space Station (ISS), that clearly exhibit a non-Boltzmann behavior. We show the best-fits obtained by a nonlinear regression method based on the Levenberg-Marquardt algorithm 50,51 (also known as the damped least-squares method), for the χ 2 and the log-normal universality classes, while we disregard the inverse-χ 2 class, which fails to describe the high-energy part of the observational data, since it exhibits an exponential decay.…”
Section: Nonequilibrium Stationary Distributionsmentioning
confidence: 99%
“…2017), particle kinetics (Liu et al. 2018), structural phase transitions (Dietz et al. 2018) and dust density waves (Jaiswal et al.…”
Section: Introductionmentioning
confidence: 99%