To control and optimize the power of the SPARC tokamak, we require information on the total radiated power of the plasma and its 2D and 3D spatial distribution. The SPARC bolometry diagnostic is being designed and built to measure the radiated power for controlling power balance, investigating the dissipation capabilities of various divertor concepts, and measuring the efficacy of the disruption thermal load mitigation. Proven resistive bolometer sensor technology will be used, with 248 lines of sight integrated into pinhole cameras in 20 different locations. This diversity of views will allow the bolometers to view the core, divertor, and particularly X-points of the plasma with high resolution. 14 of these camera locations are dedicated to 2D equilibrium radiated power, while the remaining six locations are designed to measure 3D radiated energy during disruptions. The bolometer sensor holders, pinhole camera boxes, and cabling have been designed to survive the high neutron flux (but low fluence) and up to 400 °C temperatures seen during operation and vacuum bake. The resistive bolometer sensors use Au absorbers with an Al heat conduction layer and C anti-reflective layer. These sensor chips are wire-bonded to an AlN circuit board, both of which are held inside a custom AlN and stainless steel bolometer holder. Design and optimization of the pinhole camera lines of sight are performed using Cherab. This work details the current state of the design of the SPARC bolometry diagnostic and its interfaces, as well as ongoing work to validate the design.
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August 2024
Research Article|
August 30 2024
Development of a bolometry diagnostic for SPARC Available to Purchase
R. Li
;
R. Li
a)
(Conceptualization, Data curation, Investigation, Software, Visualization, Writing – original draft, Writing – review & editing)
1
Commonwealth Fusion Systems
, Devens, Massachusetts 01434, USA
a)Author to whom correspondence should be addressed: [email protected]
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M. L. Reinke
;
M. L. Reinke
(Conceptualization, Formal analysis, Investigation, Project administration, Resources, Supervision, Writing – review & editing)
1
Commonwealth Fusion Systems
, Devens, Massachusetts 01434, USA
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I. Abramovic
;
I. Abramovic
(Formal analysis, Investigation, Software, Visualization)
1
Commonwealth Fusion Systems
, Devens, Massachusetts 01434, USA
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D. Boyer
;
D. Boyer
(Data curation, Formal analysis, Software, Visualization)
1
Commonwealth Fusion Systems
, Devens, Massachusetts 01434, USA
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D. Cykman;
D. Cykman
(Formal analysis, Validation)
1
Commonwealth Fusion Systems
, Devens, Massachusetts 01434, USA
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E. Fox-Widdows
;
E. Fox-Widdows
(Software, Validation)
1
Commonwealth Fusion Systems
, Devens, Massachusetts 01434, USA
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M. O. Hanson
;
M. O. Hanson
(Software, Validation)
1
Commonwealth Fusion Systems
, Devens, Massachusetts 01434, USA
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K. Howarth
;
K. Howarth
(Software)
1
Commonwealth Fusion Systems
, Devens, Massachusetts 01434, USA
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R. Kulchy;
R. Kulchy
(Investigation, Methodology, Validation, Visualization)
1
Commonwealth Fusion Systems
, Devens, Massachusetts 01434, USA
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C. Lafleur
;
C. Lafleur
(Validation)
1
Commonwealth Fusion Systems
, Devens, Massachusetts 01434, USA
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M. Lagieski
;
M. Lagieski
(Formal analysis)
1
Commonwealth Fusion Systems
, Devens, Massachusetts 01434, USA
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S. McKanas
;
S. McKanas
(Validation)
1
Commonwealth Fusion Systems
, Devens, Massachusetts 01434, USA
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C. E. Myers
;
C. E. Myers
(Conceptualization, Project administration, Supervision, Validation)
1
Commonwealth Fusion Systems
, Devens, Massachusetts 01434, USA
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B. Stein-Lubrano
;
B. Stein-Lubrano
(Data curation, Formal analysis, Software)
2
Massachusetts Institute of Technology
, Cambridge, Massachusetts 02139, USA
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R. Sweeney
;
R. Sweeney
(Conceptualization, Investigation, Validation)
1
Commonwealth Fusion Systems
, Devens, Massachusetts 01434, USA
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J. Witham;
J. Witham
(Investigation, Validation)
1
Commonwealth Fusion Systems
, Devens, Massachusetts 01434, USA
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C. Woodall
;
C. Woodall
(Software, Validation, Visualization)
1
Commonwealth Fusion Systems
, Devens, Massachusetts 01434, USA
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R. Li
1,a)
M. L. Reinke
1
I. Abramovic
1
D. Boyer
1
D. Cykman
1
E. Fox-Widdows
1
M. O. Hanson
1
K. Howarth
1
R. Kulchy
1
C. Lafleur
1
M. Lagieski
1
S. McKanas
1
C. E. Myers
1
B. Stein-Lubrano
2
R. Sweeney
1
J. Witham
1
C. Woodall
1
SPARC Diagnostics Team
1
Commonwealth Fusion Systems
, Devens, Massachusetts 01434, USA
2
Massachusetts Institute of Technology
, Cambridge, Massachusetts 02139, USA
a)Author to whom correspondence should be addressed: [email protected]
Rev. Sci. Instrum. 95, 083561 (2024)
Article history
Received:
May 17 2024
Accepted:
August 07 2024
Citation
R. Li, M. L. Reinke, I. Abramovic, D. Boyer, D. Cykman, E. Fox-Widdows, M. O. Hanson, K. Howarth, R. Kulchy, C. Lafleur, M. Lagieski, S. McKanas, C. E. Myers, B. Stein-Lubrano, R. Sweeney, J. Witham, C. Woodall, SPARC Diagnostics Team; Development of a bolometry diagnostic for SPARC. Rev. Sci. Instrum. 1 August 2024; 95 (8): 083561. https://doi.org/10.1063/5.0219548
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