Self-consistent simulation of compressional Alfvén eigenmodes excitation and runaway electron diffusion in tokamak disruptions

Liu, Chang ; Lvovskiy, Andrey ; Paz-Soldan, Carlos ; Jardin, Stephen ; Bhattacharjee, Amitava
Issue date: 2023
Rights:
 Creative Commons Attribution 4.0 International (CC BY)
Cite as:
Liu, Chang, Lvovskiy, Andrey, Paz-Soldan, Carlos, Jardin, Stephen, & Bhattacharjee, Amitava. (2023). Self-consistent simulation of compressional Alfvén eigenmodes excitation and runaway electron diffusion in tokamak disruptions [Data set]. Princeton Plasma Physics Laboratory, Princeton University. https://doi.org/10.34770/stwa-qh32
@electronic{liu_chang_2023,
  author      = {Liu, Chang and
                Lvovskiy, Andrey and
                Paz-Soldan, Carlos and
                Jardin, Stephen and
                Bhattacharjee, Amitava},
  title       = {{Self-consistent simulation of compressio
                nal Alfvén eigenmodes excitation and run
                away electron diffusion in tokamak disru
                ptions}},
  publisher   = {{Princeton Plasma Physics Laboratory, Pri
                nceton University}},
  year        = 2023,
  url         = {https://doi.org/10.34770/stwa-qh32}
}
Description:

The data set consists of the figures in a manuscript titled "Self-consistent simulation of compressional Alfvén eigenmodes excitation and runaway electron diffusion in tokamak disruptions", and plotting script used for figure generation. There are 4 figures.

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# Filename Filesize
1 cae-re-diffusion.zip 65.3 MB
More about this record
Authors Liu, Chang (Princeton Plasma Physics Laboratory)
Lvovskiy, Andrey
Paz-Soldan, Carlos
Jardin, Stephen (Princeton Plasma Physics Laboratory)
Bhattacharjee, Amitava (Princeton Plasma Physics Laboratory)
Domains Natural Sciences
Communities Princeton Plasma Physics Laboratory
Subcommunities Theory, Theory and Computation
Issue date 2023
URI https://doi.org/10.34770/stwa-qh32
URI http://arks.princeton.edu/ark:/88435/dsp01x059cb607
Publisher Princeton Plasma Physics Laboratory, Princeton University
Type Dataset
Funders United States Department of Energy, DE-AC02-09CH11466
United States Department of Energy, DE-SC0016268
United States Department of Energy, DE-AC02-05CH11231
United States Department of Energy, DE-AC05-00OR22725
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