Data for "Chasing the multi-modal plasma response in MAST-U"

Munaretto, Stefano ; Liu, Yueqiang ; Ryan, David ; Hao, Guangzhou ; Berkery, John ; Blackmore, Sam ; Kogan, Lucy
Issue date: 2023
Rights:
 Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA)
Cite as:
Munaretto, Stefano, Liu, Yueqiang, Ryan, David, Hao, Guangzhou, Berkery, John, Blackmore, Sam, & Kogan, Lucy. (2023). Data for "Chasing the multi-modal plasma response in MAST-U" [Data set]. Princeton Plasma Physics Laboratory, Princeton University. https://doi.org/10.34770/dq61-gf89
@electronic{munaretto_stefano_2023,
  author      = {Munaretto, Stefano and
                Liu, Yueqiang and
                Ryan, David and
                Hao, Guangzhou and
                Berkery, John and
                Blackmore, Sam and
                Kogan, Lucy},
  title       = {{Data for "Chasing the multi-modal plasma
                 response in MAST-U"}},
  publisher   = {{Princeton Plasma Physics Laboratory, Pri
                nceton University}},
  year        = 2023,
  url         = {https://doi.org/10.34770/dq61-gf89}
}
Description:

This deposit contains the data created for the manuscript. Figures 1 and 2 are fit of the experimental data from the MAST-U experiment. The rest of the data were created with the MARS-F code (Liu et al 2000 Phys. Plasmas 7 3681) and analyzed using ad hoc python scripts.

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More about this record
Authors Munaretto, Stefano (Princeton Plasma Physics Laboratory)
Liu, Yueqiang (General Atomics (United States))
Ryan, David (Culham Centre for Fusion Energy)
Hao, Guangzhou (Southwestern Institute of Physics)
Berkery, John (Princeton Plasma Physics Laboratory)
Blackmore, Sam (Culham Centre for Fusion Energy)
Kogan, Lucy (Culham Centre for Fusion Energy)
Domains Natural Sciences
Communities Princeton Plasma Physics Laboratory
Subcommunities MAST-U, Spherical Torus
Issue date 2023
Date Created 2023-12-15
Date Modified 2024-09-18
URI https://doi.org/10.34770/dq61-gf89
Publisher Princeton Plasma Physics Laboratory, Princeton University
Type Dataset
Funders United States Department of Energy, DE-AC02-09CH11466
United States Department of Energy, DE-SC0018992
Engineering and Physical Sciences Research Council, EP/W006839/1
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