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Title: Public Data Set: On Virial Analysis at Low Aspect Ratio

Abstract

This public data set contains openly-documented, machine readable digital research data published in M.W. Bongard, et al., 'On Virial Analysis at Low Aspect Ratio,' Phys. Plasmas 23, 072508 (2016).

Authors:
ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [2]
  1. University of Wisconsin-Madison
  2. Oak Ridge Associated Universities
Publication Date:
Research Org.:
University of Wisconsin-Madison
Sponsoring Org.:
USDOE Office of Science (SC), Fusion Energy Sciences (FES) (SC-24)
OSTI Identifier:
1240359
Report Number(s):
DS2016-4
DOE Contract Number:
FG02-96ER54375
Resource Type:
Data
Resource Relation:
Related Information: M.W. Bongard et al., On Virial Analysis at Low Aspect Ratio, Phys. Plasmas 23, 072508 (2016). DOI: 10.1063/1.4959808
Data Type:
Figures/Plots
Country of Publication:
United States
Language:
English
Subject:
70 PLASMA PHYSICS AND FUSION TECHNOLOGY

Citation Formats

Bongard, Michael W, Barr, Jayson L, Fonck, Raymond J, Reusch, Joshua A, and Thome, Kathreen E. Public Data Set: On Virial Analysis at Low Aspect Ratio. United States: N. p., 2016. Web. doi:10.18138/1240359.
Bongard, Michael W, Barr, Jayson L, Fonck, Raymond J, Reusch, Joshua A, & Thome, Kathreen E. Public Data Set: On Virial Analysis at Low Aspect Ratio. United States. doi:10.18138/1240359.
Bongard, Michael W, Barr, Jayson L, Fonck, Raymond J, Reusch, Joshua A, and Thome, Kathreen E. Thu . "Public Data Set: On Virial Analysis at Low Aspect Ratio". United States. doi:10.18138/1240359. https://www.osti.gov/servlets/purl/1240359.
@article{osti_1240359,
title = {Public Data Set: On Virial Analysis at Low Aspect Ratio},
author = {Bongard, Michael W and Barr, Jayson L and Fonck, Raymond J and Reusch, Joshua A and Thome, Kathreen E},
abstractNote = {This public data set contains openly-documented, machine readable digital research data published in M.W. Bongard, et al., 'On Virial Analysis at Low Aspect Ratio,' Phys. Plasmas 23, 072508 (2016).},
doi = {10.18138/1240359},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Jul 28 00:00:00 EDT 2016},
month = {Thu Jul 28 00:00:00 EDT 2016}
}

Dataset:

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  • This data set contains openly-documented, machine readable digital research data corresponding to figures published in K.E. Thome et al., 'H-mode Plasmas at Very Low Aspect Ratio on the Pegasus Toroidal Experiment,' Nucl. Fusion 57, 022018 (2017).
  • This public data set contains openly-documented, machine readable digital research data corresponding to figures published in M.G. Burke et. al., 'Continuous, Edge Localized Ion Heating During Non-Solenoidal Plasma Startup and Sustainment in a Low Aspect Ratio Tokamak,' Nucl. Fusion 57, 076010 (2017).
  • This data set contains openly-documented, machine readable digital research data corresponding to figures published in K.E. Thome et al., 'High Confinement Mode and Edge Localized Mode Characteristics in a Near-Unity Aspect Ratio Tokamak,' Phys. Rev. Lett. 116, 175001 (2016).
  • The validity of virial analysis to infer global MHD equilibrium poloidal beta β p and internal inductance ℓ i from external magnetics measurements is examined for low aspect ratio configurations with A < 2. Numerical equilibrium studies at varied aspect ratio are utilized to validate the technique at finite aspect ratio. The effect of applying high-A approximations to low-A experimental data is quantified and demonstrates significant over-estimation of stored energy (factors of 2–10) in spherical tokamak geometry. Experimental approximations to equilibrium-dependent volume integral terms in the analysis are evaluated at low-A. Highly paramagnetic configurations are found to be inadequately representedmore » through the virial mean radius parameter R T. Alternate formulations for inferring β p and ℓ i that are independent of R T to avoid this difficulty are presented for the static isotropic limit. Lastly, these formulations are suitable for fast estimation of tokamak stored energy components at low aspect ratio using virial analysis.« less