Model of charge-state distributions for electron cyclotron resonance ion source plasmas
A computer model for the ion charge-state distribution (CSD) in an electron cyclotron resonance ion source (ECRIS) plasma is presented that incorporates non-Maxwellian distribution functions, multiple atomic species, and ion confinement due to the ambipolar potential well that arises from confinemen...
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American Physical Society
1999-12-01
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Series: | Physical Review Special Topics. Accelerators and Beams |
Online Access: | http://doi.org/10.1103/PhysRevSTAB.2.123502 |
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doaj-47838c34c7764351994a8d18337523912020-11-24T21:26:29ZengAmerican Physical SocietyPhysical Review Special Topics. Accelerators and Beams1098-44021999-12-0121212350210.1103/PhysRevSTAB.2.123502Model of charge-state distributions for electron cyclotron resonance ion source plasmasD. H. EdgellJ. S. KimS. K. WongR. C. PardoR. VondrasekA computer model for the ion charge-state distribution (CSD) in an electron cyclotron resonance ion source (ECRIS) plasma is presented that incorporates non-Maxwellian distribution functions, multiple atomic species, and ion confinement due to the ambipolar potential well that arises from confinement of the electron cyclotron resonance (ECR) heated electrons. Atomic processes incorporated into the model include multiple ionization and multiple charge exchange with rate coefficients calculated for non-Maxwellian electron distributions. The electron distribution function is calculated using a Fokker-Planck code with an ECR heating term. This eliminates the electron temperature as an arbitrary user input. The model produces results that are a good match to CSD data from the ANL-ECRII ECRIS. Extending the model to 1D axial will also allow the model to determine the plasma and electrostatic potential profiles, further eliminating arbitrary user input to the model.http://doi.org/10.1103/PhysRevSTAB.2.123502 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
D. H. Edgell J. S. Kim S. K. Wong R. C. Pardo R. Vondrasek |
spellingShingle |
D. H. Edgell J. S. Kim S. K. Wong R. C. Pardo R. Vondrasek Model of charge-state distributions for electron cyclotron resonance ion source plasmas Physical Review Special Topics. Accelerators and Beams |
author_facet |
D. H. Edgell J. S. Kim S. K. Wong R. C. Pardo R. Vondrasek |
author_sort |
D. H. Edgell |
title |
Model of charge-state distributions for electron cyclotron resonance ion source plasmas |
title_short |
Model of charge-state distributions for electron cyclotron resonance ion source plasmas |
title_full |
Model of charge-state distributions for electron cyclotron resonance ion source plasmas |
title_fullStr |
Model of charge-state distributions for electron cyclotron resonance ion source plasmas |
title_full_unstemmed |
Model of charge-state distributions for electron cyclotron resonance ion source plasmas |
title_sort |
model of charge-state distributions for electron cyclotron resonance ion source plasmas |
publisher |
American Physical Society |
series |
Physical Review Special Topics. Accelerators and Beams |
issn |
1098-4402 |
publishDate |
1999-12-01 |
description |
A computer model for the ion charge-state distribution (CSD) in an electron cyclotron resonance ion source (ECRIS) plasma is presented that incorporates non-Maxwellian distribution functions, multiple atomic species, and ion confinement due to the ambipolar potential well that arises from confinement of the electron cyclotron resonance (ECR) heated electrons. Atomic processes incorporated into the model include multiple ionization and multiple charge exchange with rate coefficients calculated for non-Maxwellian electron distributions. The electron distribution function is calculated using a Fokker-Planck code with an ECR heating term. This eliminates the electron temperature as an arbitrary user input. The model produces results that are a good match to CSD data from the ANL-ECRII ECRIS. Extending the model to 1D axial will also allow the model to determine the plasma and electrostatic potential profiles, further eliminating arbitrary user input to the model. |
url |
http://doi.org/10.1103/PhysRevSTAB.2.123502 |
work_keys_str_mv |
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