The Wide Emission Spectral (WiSE) Diagnostic on DIII-D

POSTER

Abstract

The Wide Spectral Emission (WiSE) diagnostic is a set of 10 absolute intensity calibrated, moderate spectral and temporal resolution spectrometers co-viewing vertically through the plasma being implemented on the DIII-D fusion device for study of neutral, ions, and molecules. Working together with existing extreme ultraviolet (EUV) and vacuum ultraviolet (VUV) diagnostics, this system provides a spectral `footprint' of a tokamak plasma from 185 nm up through 5000 nm, all along a coincident line-of-sight, spanning the deep ultraviolet (DUV), ultraviolet (UV), visible (VIS), near infrared (NIR), short-wavelength infrared (SWIR) and medium wavelength infrared (MWIR) bands. Light from the plasma passes through a UV-grade sapphire viewport, then is collected with a fused silica-sapphire triplet lens and is transmitted from the machine to up to 10 separate instruments using a multi-pronged fiber bundle. Each spectrometer is capable of 0.5-4.5 kHz operation and is paired with a dedicated compact PC for operation and data acquisition. Details of design choices for the WiSE diagnostic will be presented, with implications for study of plasma parameters, impurity content, line-ratios, radiated power, and transients, along with beneficial implications for boundary code validation in DIII-D.

*Work supported by US DOE under DE-FC02-04ER54698, DE-AC52-07NA27344, DE-FG02-07ER54917, LLNL LDRD project 17-ERD-020

Authors

  • Adam McLean

    • Lawrence Livermore Natl Lab
  • Tyler Abrams

    • General Atomics
    • GA
    • General Atomics, CA, USA
  • S.L. Allen

    • LLNL
    • Lawrence Livermore National Lab
  • David Ayala

    • General Atomics
  • I. Bykov

    • UCSD
  • Ron Ellis

    • LLNL
  • Jim Kulchar

    • General Atomics
  • Charles Lasnier

    • LLNL
    • lawrence livermore national laboratory
  • D.C. Pace

    • General Atomics
  • C.M. Samuell

    • LLNL
    • Lawrence Livermore National Lab
  • Aaron Snyder

    • General Atomics
  • Katrina Teo

    • University of Washington