A New Integrated Analysis Suite for Fast-Ion Study in KSTAR
Abstract
Here, an integrated workflow for fast-ion analysis was developed by adapting the One Modeling Framework for Integrated Task (OMFIT) workflow manager to support a standard and unified analysis platform for KSTAR users. The newly established analysis suite offers a graphical user interface–based workflow to enable users to readily access and handle experimental data archived in various data formats and servers. Further, users can analyze the data by importing modules designed for conducting certain tasks, such as profile fitting, equilibrium reconstruction, and postprocessing of tokamak data. The procedures for preparing the inputs for fast-ion simulations are streamlined by a common workflow manager, which enables the parallel processing of various tasks to efficiently analyze large fast-ion datasets. The OMFIT platform comprises a flexible Python-based application that enables users to freely manipulate the Python scripts for applications that are unavailable in the standard workflow. The framework also offers mapping tools to translate the output data into the Integrated Modeling and Analysis Suite format to maintain application compatibility for future ITER burning plasma experiments.
- Authors:
-
[1]
- Korea Advanced Inst. Science and Technology (KAIST), Daejeon (Korea, Republic of)
- Korea Institute of Fusion Energy, Daejeon (Korea, Republic of)
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- General Atomics, San Diego, CA (United States)
- Culham Science Centre, Abingdon (United Kingdom)
- Publication Date:
- Research Org.:
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA); Korea Institute of Fusion Energy (KFE)
- OSTI Identifier:
- 1959526
- Report Number(s):
- LLNL-JRNL-836757
Journal ID: ISSN 1536-1055; 1055969; TRN: US2312880
- Grant/Contract Number:
- AC52-07NA27344; EN2201-13; 2022-IN2204-8
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Fusion Science and Technology
- Additional Journal Information:
- Journal Volume: 79; Journal Issue: 2; Journal ID: ISSN 1536-1055
- Publisher:
- American Nuclear Society
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 70 PLASMA PHYSICS AND FUSION TECHNOLOGY; fast ion; OMFIT; interpretive analysis; integrated modeling
Citation Formats
Lee, M. W., Kang, J., Logan, N. C., Choi, M. J., Jung, L., Kim, J., Choi, M. G., Kim, M. H., Grierson, B. A., Smith, S. P., Meneghini, O., Romanelli, M., and Sung, C. A New Integrated Analysis Suite for Fast-Ion Study in KSTAR. United States: N. p., 2022.
Web. doi:10.1080/15361055.2022.2126292.
Lee, M. W., Kang, J., Logan, N. C., Choi, M. J., Jung, L., Kim, J., Choi, M. G., Kim, M. H., Grierson, B. A., Smith, S. P., Meneghini, O., Romanelli, M., & Sung, C. A New Integrated Analysis Suite for Fast-Ion Study in KSTAR. United States. https://doi.org/10.1080/15361055.2022.2126292
Lee, M. W., Kang, J., Logan, N. C., Choi, M. J., Jung, L., Kim, J., Choi, M. G., Kim, M. H., Grierson, B. A., Smith, S. P., Meneghini, O., Romanelli, M., and Sung, C. Mon .
"A New Integrated Analysis Suite for Fast-Ion Study in KSTAR". United States. https://doi.org/10.1080/15361055.2022.2126292. https://www.osti.gov/servlets/purl/1959526.
@article{osti_1959526,
title = {A New Integrated Analysis Suite for Fast-Ion Study in KSTAR},
author = {Lee, M. W. and Kang, J. and Logan, N. C. and Choi, M. J. and Jung, L. and Kim, J. and Choi, M. G. and Kim, M. H. and Grierson, B. A. and Smith, S. P. and Meneghini, O. and Romanelli, M. and Sung, C.},
abstractNote = {Here, an integrated workflow for fast-ion analysis was developed by adapting the One Modeling Framework for Integrated Task (OMFIT) workflow manager to support a standard and unified analysis platform for KSTAR users. The newly established analysis suite offers a graphical user interface–based workflow to enable users to readily access and handle experimental data archived in various data formats and servers. Further, users can analyze the data by importing modules designed for conducting certain tasks, such as profile fitting, equilibrium reconstruction, and postprocessing of tokamak data. The procedures for preparing the inputs for fast-ion simulations are streamlined by a common workflow manager, which enables the parallel processing of various tasks to efficiently analyze large fast-ion datasets. The OMFIT platform comprises a flexible Python-based application that enables users to freely manipulate the Python scripts for applications that are unavailable in the standard workflow. The framework also offers mapping tools to translate the output data into the Integrated Modeling and Analysis Suite format to maintain application compatibility for future ITER burning plasma experiments.},
doi = {10.1080/15361055.2022.2126292},
journal = {Fusion Science and Technology},
number = 2,
volume = 79,
place = {United States},
year = {Mon Dec 19 00:00:00 EST 2022},
month = {Mon Dec 19 00:00:00 EST 2022}
}
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