Integrated diagnostic and data analysis system of the C-2W advanced beam-driven field-reversed configuration plasma experiment

The new C-2W experiment (also called Norman) at TAE Technologies, Inc. studies the evolution of field-reversed configuration (FRC) plasmas sustained by neutral beam injection. Data on the FRC plasma performance are provided by a comprehensive suite of diagnostics that includes over 700 magnetic sens...

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Bibliographic Details
Published in:Review of scientific instruments 2018-10, Vol.89 (10), p.10K114-10K114
Main Authors: Thompson, M. C., Schindler, T. M., Mendoza, R., Gota, H., Putvinski, S., Binderbauer, M. W.
Format: Article
Language:English
Subjects:
Analyzers
Beam injection
Bolometers
Configurations
Data analysis
Diagnostic systems
Experiments
Far infrared radiation
Neutral beams
Neutral particles
Open source software
Plasmas (physics)
Polarimetry
Product detectors
Reflectometry
Scientific apparatus & instruments
Signal processing
Software development tools
Source code
Thomson scattering
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Description
Summary:The new C-2W experiment (also called Norman) at TAE Technologies, Inc. studies the evolution of field-reversed configuration (FRC) plasmas sustained by neutral beam injection. Data on the FRC plasma performance are provided by a comprehensive suite of diagnostics that includes over 700 magnetic sensors, four interferometer systems, multi-chord far-infrared polarimetry, two Thomson scattering systems, ten types of spectroscopic measurements, multiple fast imaging cameras with selectable atomic line filters, bolometry, reflectometry, neutral particle analyzers, and fusion product detectors. Most of these diagnostic systems are newly built using experience and data from the preceding C-2U experiment to guide the design process. A variety of commercial and custom acquisition electronics collect over 4000 raw signals from the C-2W diagnostics. These data are processed into physics results using a large-scale database of diagnostics metadata and analysis software, both built using open-source software tools.
ISSN:0034-6748
1089-7623
DOI:10.1063/1.5037693