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Conference papers
Synthetic SXR diagnostic using GEM detectors on WEST: development in the prospect of tungsten monitoring
Abstract : WEST (Tungsten Environment in Steady-State Tokamak) will be operating by the end of 2016 as a test bed for the ITER divertor components in long pulse operation. In this context, radiative cooling of highly ionized impurities like tungsten (W) sputtered from Plasma Facing Components (PFC) into the plasma core is a critical issue since even small impurity concentrations below 10-4 degrade significantly plasma performances and can lead to radiative collapse. In the plasma core, tungsten emission is dominant in the Soft X-ray (SXR) range 0.1 keV – 15 keV with complex contributions from line transition, radiative recombination and Bremsstrahlung emission.
This paper presents the recent development of a synthetic SXR diagnostic using GEM (Gas Electron Multiplier) detectors. This diagnostic will be used on WEST for W transport studies and will be equipped with two new GEM based poloidal cameras allowing 2D tomographic reconstructions with spectral resolution in energy bands. Thus once GEM response to plasma emissivity is characterized thanks to synthetic diagnostic, it offers new possibilities to disentangle the different SXR contributions in harsh fusion environments like e.g. WEST or ITER with respect to conventional semiconductor diodes working in current mode. Emitted SXR spectrum from the plasma is modelled thanks to ADAS database from given WEST scenario. The synthetic diagnostic includes Lines of Sight (LoS) etendues of the two cameras as well as probability of photoabsorption through filters, photoionization in the detection gas mixture (Ar-CO2), and transport of electron avalanches in the gas through GEM foils as computed with Magboltz. Local SXR emissivity is then retrieved from tomographic inversion using a Minimum Fisher Information (MFI) algorithm.
Cited literature [7 references]
https://hal-cea.archives-ouvertes.fr/cea-01394635
Contributor : Axel Jardin <>
Submitted on : Wednesday, November 16, 2016 - 12:12:33 PM
Last modification on : Monday, October 1, 2018 - 4:03:00 PM
Long-term archiving on: : Thursday, March 16, 2017 - 6:37:35 PM
Contributor : Axel Jardin <>
Submitted on : Wednesday, November 16, 2016 - 12:12:33 PM
Last modification on : Monday, October 1, 2018 - 4:03:00 PM
Long-term archiving on: : Thursday, March 16, 2017 - 6:37:35 PM
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Manuscript_AJardin_EPS2016.pdf
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