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Title: Public Data Set: Impedance of an Intense Plasma-Cathode Electron Source for Tokamak Plasma Startup

This data set contains openly-documented, machine readable digital research data corresponding to figures published in E.T. Hinson et al., 'Impedance of an Intense Plasma-Cathode Electron Source for Tokamak Plasma Startup,' Physics of Plasmas 23, 052515 (2016).
Authors:
 [1] ;  [1] ;  [1] ;  [1] ;  [1] ;  [1]
  1. University of Wisconsin-Madison
Publication Date:
Report Number(s):
DS2016-2
DOE Contract Number:
FG02-96ER54375
Product Type:
Dataset
Research Org(s):
University of Wisconsin-Madison
Sponsoring Org:
USDOE Office of Science (SC), Fusion Energy Sciences (FES) (SC-24)
Resource Relation:
Related Information: Impedance of an Intense Plasma-Cathode Electron Source for Tokamak Plasma Startup, Physics of Plasmas 23, 052515 (2016). DOI: 10.1063/1.4952628
Subject:
70 PLASMA PHYSICS AND FUSION TECHNOLOGY
Related Identifiers:
DOI: 10.18138/1236495 [IsReferencedBy] 10.18138/1235552
DOI: 10.18138/1240359 [IsReferencedBy] 10.18138/1235552
DOI: 10.18138/1257860 [IsReferencedBy] 10.18138/1235552
DOI: 10.18138/1257971 [IsReferencedBy] 10.18138/1235552
DOI: 10.18138/1259852 [IsReferencedBy] 10.18138/1235552
DOI: 10.18138/1336395 [IsReferencedBy] 10.18138/1235552
DOI: 10.18138/1410490 [IsReferencedBy] 10.18138/1235552
DOI: 10.18138/1345037 [IsReferencedBy] 10.18138/1235552
DOI: 10.18138/1419641 [IsReferencedBy] 10.18138/1235552
DOI: 10.18138/1432455 [IsReferencedBy] 10.18138/1235552
OSTI Identifier:
1235552
  1. The Pegasus Toroidal Experiment is an ultra-low aspect ratio spherical tokamak at the University of Wisconsin-Madison. Its research program is part of a worldwide effort to enhance the understanding of high-temperature plasma behavior and magnetic confinement, with focus on addressing areas of critical concern to understanding the spherical tokamak for fusion science advancement. These include: plasma initiation without the use of a central solenoid through local helicity injection; core and edge magnetohydrodyamic stability studies; and validation studies of predictive plasma models.
No associated Collections found.
  1. 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).
  2. This public data set contains openly-documented, machine readable digital research data corresponding to figures published in J.L. Barr et. al, 'A Power-Balance Model for Local Helicity Injection Startup in a Spherical Tokamak,' Nuclear Fusion 58, 076011 (2018).
  3. This is the microstructural data used in the publication "Mesoscale characterization of local property distributions in hetergeneous electrodes" by Tim Hsu, William K. Epting, Rubayyat Mahbub, et al., published in the Journal of Power Sources in 2018 (DOI 10.1016/j.jpowsour.2018.03.025). Included are a commercial cathode andmore » anode active layer (Materials and Systems Research, Inc., Salt Lake City, UT) imaged by Xe plasma FIB-SEM (FEI, Hillsboro, OR), and four synthetic microstructures of varying particle size distribution widths generated by DREAM3D (BlueQuartz Software, Springboro, OH). For the MSRI electrodes, both the original greyscale and the segmented versions are provided. Each .zip file contains a "stack" of .tif image files in the Z dimension, and an .info ascii text file containing useful information like voxel sizes and phase IDs. More details can be found in the pertinent publication at http://dx.doi.org/10.1016/j.jpowsour.2018.03.025. « less
  4. Facilitating the very short and intense pulses from an X-ray laser for the purpose of imaging small bioparticles carries the potential for structure determination at atomic resolution without the need for crystallization. In this study, we explore experimental strategies for this idea based on datamore » collected at the Linac Coherent Light Source from 40 nm virus particles injected into a hard X-ray beam. « less
  5. We implement unsupervised machine learning techniques to identify characteristic evolution patterns and associated parameter regimes in edge localized mode (ELM) events observed on the National Spherical Torus Experiment. Multi-channel, localized measurements spanning the pedestal region capture the complex evolution patterns of ELM events on Alfvenmore » timescales. Some ELM events are active for less than 100~microsec, but others persist for up to 1~ms. Also, some ELM events exhibit a single dominant perturbation, but others are oscillatory. Clustering calculations with time-series similarity metrics indicate the ELM database contains at least two and possibly three groups of ELMs with similar evolution patterns. The identified ELM groups trigger similar stored energy loss, but the groups occupy distinct parameter regimes for ELM-relevant quantities like plasma current, triangularity, and pedestal height. Notably, the pedestal electron pressure gradient is not an effective parameter for distinguishing the ELM groups, but the ELM groups segregate in terms of electron density gradient and electron temperature gradient. The ELM evolution patterns and corresponding parameter regimes can shape the formulation or validation of nonlinear ELM models. Finally, the techniques and results demonstrate an application of unsupervised machine learning at a data-rich fusion facility. « less