Simulation of secondary electron emission based on a phenomenological probabilistic model

Furman,; Pivi, M.

doi:10.2172/835149

Cited by 33 publications

(42 citation statements)

References 22 publications

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“…Each of these possible interactions between the electron and the surface are modeled as the different contributions of the Secondary Electron Yield (SEY) function. In this work, the SEY model and formulas described in [7], [8], which were already successfully implemented in CST Particle Studio [9], are employed.…”

Section: Theorymentioning

confidence: 99%

Experimental Analysis of the Multipactor Effect With RF Pulsed Signals

Gonzalez-Iglesias

Belda²,

Díaz

et al. 2015

IEEE Electron Device Lett.

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Abstract-The main goal of this work is the analysis of the multipactor effect within a coaxial waveguide excited by an RF pulsed signal. The variation of the multipactor RF voltage threshold with the ON interval length of the pulse has been analyzed. To reach this aim, an in-house multipactor simulation code based on the Monte-Carlo algorithm has been implemented. Numerical simulations show that the multipactor RF voltage threshold increases as the ON pulse interval diminishes. In addition, an experiment was carried out to validate the proposed theoretical model, demonstrating the excellent agreement between theory and experimental data. Finally, the results are compared to the "20-gap-crossing" rule used in the space standard document (ECSS-E20-1A).

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Section: Theorymentioning

confidence: 99%

Experimental Analysis of the Multipactor Effect With RF Pulsed Signals

Gonzalez-Iglesias

Belda²,

Díaz

et al. 2015

IEEE Electron Device Lett.

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“…The simulation tool is based on a merge of the Heavy Ion Fusion accelerator code WARP [4] and the High-Energy Physics electron cloud code POSINST [5,6], supplemented by additional modules for gas generation and ionization [7], as well as ion-induced electron emission from the Tech-X package TxPhysics [8]. The package allows for multi-dimensional (2-D or 3-D) modeling of a beam in an accelerator lattice and its interac-tion with electron clouds generated from photoninduced, ion-induced or electron-induced emission at walls, or from ionization of background and desorbed gas.…”

Section: The Warp/posinst Simulation Packagementioning

confidence: 99%

“…We assume that the effective quantum efficiency is 0.1, so that 1.27 × 10 −3 photoelectrons are generated on the chamber surface per proton per meter of beam traversal, and that the effective photon reflectivity is 20% (i.e., 80% of the photoelectrons are generated on the illuminated part of the beam screen, while 20% are generated uniformly around the perimeter of the beam screen crosssection). Finally, as an initial example for illustration purposes, we set the peak value of the secondary emission yield to 2.0 [6]. A snapshot from the simulation of a train of five bunches is shown in Fig.…”

Section: Application To High-energy Physics Acceleratorsmentioning

confidence: 99%

Self-consistent simulations of heavy-ion beams interacting with electron-clouds

Vay

Furman

Seidl

et al. 2007

Nuclear Instruments and Methods in Physics Research Section A:

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Electron-clouds and rising desorbed gas pressure limit the performance of many existing accelerators and, potentially, that of future accelerators including heavy-ion warm-dense matter and fusion drivers. For the latter, self-consistent simulation of the interaction of the heavy-ion beam(s) with the electron-cloud is necessary. To this end, we have merged the two codes WARP (HIF accelerator code) and POSINST (high-energy e-cloud build-up code), and added modules for neutral gas molecule generation, gas ionization, and electron tracking algorithms in magnetic fields with large time steps. The new tool is being benchmarked against the High-Current Experiment (HCX) and good agreement has been achieved. The simulations have also aided diagnostic interpretation and have identified unanticipated physical processes. We present the "roadmap" describing the different modules and their interconnections, along with detailed comparisons with HCX experimental results, as well as a preliminary application to the modeling of electron clouds in the Large Hadron Collider.

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“…A fairly detailed phenomenological probabilistic description of the secondary emission process is presented in Refs. [7,8], upon which we base the analysis in this article.…”

Section: B Secondary Electron Emissionmentioning

confidence: 99%

“…In this article we present an examination of the EC at the MI by means of computer simulations with the code POSINST [5][6][7][8]. For the purposes of the present work, we fix two important parameters, namely the beam energy E at its injection value, and the peak value δ max of the secondary emission yield (SEY) of the vacuum chamber at 1.3.…”

Section: Introductionmentioning

confidence: 99%

A preliminary assessment of the electron cloud effect for the FNALmain injector upgrade

Furman¹

2005

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We present results from a preliminary assessment, via computer simulations, of the electroncloud density for the FNAL main injector upgrade at injection energy. Assuming a peak value for secondary emission yield δmax = 1.3, we find a threshold value of the bunch population, N b,th 1.25 × 10 11 , beyond which the electron-cloud density ρe reaches a steady-state level that is ∼ 10 4 times larger than for N b < N b,th , essentially neutralizing the beam, and leading to a tune shift ∼ 0.05. Our investigation is limited to a field-free region and to a dipole magnet region, both of which yield similar results for both N b,th and the steady-state value of ρe. Possible dynamical effects from the electron cloud on the beam, such as emittance growth and instabilities, remain to be investigated separately.

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Simulation of secondary electron emission based on a phenomenological probabilistic model

Cited by 33 publications

References 22 publications

Experimental Analysis of the Multipactor Effect With RF Pulsed Signals

Experimental Analysis of the Multipactor Effect With RF Pulsed Signals

Self-consistent simulations of heavy-ion beams interacting with electron-clouds

A preliminary assessment of the electron cloud effect for the FNALmain injector upgrade

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