Probabilistic model for the simulation of secondary electron emission

Furman, M.A.; Pivi, M.

doi:10.1103/physrevstab.5.124404

Cited by 431 publications

(258 citation statements)

References 16 publications

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“…In the dipole field regions, the modeling code POSINST [106] was employed. Simulations with both POSINST and ECLOUD [107] were carried out in the quadrupole, sextupole and drift regions.…”

Section: Ec Buildupmentioning

confidence: 99%

The International Linear Collider Technical Design Report - Volume 3.II: Accelerator Baseline Design

Adolphsen

2013

105

135

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“…In the dipole field regions, the modeling code POSINST [106] was employed. Simulations with both POSINST and ECLOUD [107] were carried out in the quadrupole, sextupole and drift regions.…”

Section: Ec Buildupmentioning

confidence: 99%

The International Linear Collider Technical Design Report - Volume 3.II: Accelerator Baseline Design

Adolphsen

2013

105

135

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“…The charge density is deposited on a spatial mesh (whose size is on the order of the Debye length) where the electric potential is solved and from where the electric field is interpolated back to the macro-particle locations. Before pushing the virtual particle and restarting the PIC cycle again, a MCC module is called to process volumetric (electron-neutral, ion-neutral, 160 and Coulomb collisions 161 ) or surface events (secondary electron emission, 162 ion sputtering, 163 etc. ).…”

Section: Particle-in-cell-monte Carlo Collision Approachmentioning

confidence: 99%

“…In fact, innovative material solutions have never been as important as in the micro-HT case. In particular, the secondary electron emission module can be implemented in a PIC-MCC code including the dependence from the electron impact energy and angle, and the ability to reproduce the strong non-equilibrium character of secondary electron distribution function composed from low energy true secondary, middle-energy inelastic and high-energy backscattered electrons, 162 and • An ability to reveal micro-instabilities typical of ExB low temperature plasma devices, 167 such as ion acoustic, electron cyclotron drift, spoke, resistive, sheath, and beamplasma instabilities.…”

Section: Particle-in-cell-monte Carlo Collision Approachmentioning

confidence: 99%

Space micropropulsion systems for Cubesats and small satellites: From proximate targets to furthermost frontiers

Levchenko

Bazaka

Ding

et al. 2018

Applied Physics Reviews

264

104

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Rapid evolution of miniaturized, automatic, robotized, function-centered devices has redefined space technology, bringing closer the realization of most ambitious interplanetary missions and intense near-Earth space exploration. Small unmanned satellites and probes are now being launched in hundreds at a time, resurrecting a dream of satellite constellations, i.e., wide, all-covering networks of small satellites capable of forming universal multifunctional, intelligent platforms for global communication, navigation, ubiquitous data mining, Earth observation, and many other functions, which was once doomed by the extraordinary cost of such systems. The ingression of novel nanostructured materials provided a solid base that enabled the advancement of these affordable systems in aspects of power, instrumentation, and communication. However, absence of efficient and reliable thrust systems with the capacity to support precise maneuvering of small satellites and CubeSats over long periods of deployment remains a real stumbling block both for the deployment of large satellite systems and for further exploration of deep space using a new generation of spacecraft. The last few years have seen tremendous global efforts to develop various miniaturized space thrusters, with great success stories. Yet, there are critical challenges that still face the space technology. These have been outlined at an inaugural International Workshop on Micropropulsion and Cubesats, MPCS-2017, a joint effort between Plasma Sources and Application Centre/Space Propulsion Centre (Singapore) and the Micropropulsion and Nanotechnology Lab, the G. Washington University (USA) devoted to miniaturized space propulsion systems, and hosted by CNR-Nanotec—P.Las.M.I. lab in Bari, Italy. This focused review aims to highlight the most promising developments reported at MPCS-2017 by leading world-reputed experts in miniaturized space propulsion systems. Recent advances in several major types of small thrusters including Hall thrusters, ion engines, helicon, and vacuum arc devices are presented, and trends and perspectives are outlined.

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“…The code includes simulation algorithms for photoelectron generation, macroparticle tracking in the 2D electrostatic fields of the beam and the cloud, and 3D tracking in a variety of ambient magnetic fields, as well as for a detailed model of the interaction of cloud electrons with the vacuum chamber surface [27].…”

Section: Numerical Modeling Of Electron Cloud Buildupmentioning

confidence: 99%

Measurement of electron trapping in the Cornell Electron Storage Ring

Billing

Conway

Cowan

et al. 2015

Phys. Rev. ST Accel. Beams

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The buildup of low-energy electrons has been shown to affect the performance of a wide variety of particle accelerators. Of particular concern is the persistence of the cloud between beam bunch passages, which can impose limitations on the stability of operation at high beam current. We have obtained measurements of long-lived electron clouds trapped in the field of a quadrupole magnet in a positron storage ring, with lifetimes much longer than the revolution period. Based on modeling, we estimate that about 7% of the electrons in the cloud generated by a 20-bunch train of 5.3 GeV positrons with 16-ns spacing and 1.3 × 10 11 population survive longer than 2.3 μs in a quadrupole field of gradient 7.4 T=m. We have observed a nonmonotonic dependence of the trapping effect on the bunch spacing. The effect of a witness bunch on the measured signal provides direct evidence for the existence of trapped electrons. The witness bunch is also observed to clear the cloud, demonstrating its effectiveness as a mitigation technique.

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Probabilistic model for the simulation of secondary electron emission

Cited by 431 publications

References 16 publications

The International Linear Collider Technical Design Report - Volume 3.II: Accelerator Baseline Design

The International Linear Collider Technical Design Report - Volume 3.II: Accelerator Baseline Design

Space micropropulsion systems for Cubesats and small satellites: From proximate targets to furthermost frontiers

Measurement of electron trapping in the Cornell Electron Storage Ring

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