Published August 27, 2020
| Version v1
Publication
Inferring divertor plasma properties from hydrogen Balmer and Paschen series spectroscopy in JET-ILW
Description
A parametrised spectral line profile model is formulated to investigate the diagnostic scope for
recovering plasma parameters from hydrogenic Balmer and Paschen series spectroscopy in the
context of JET-ILW divertor plasmas. The separate treatment of Zeeman and Stark contributions
in the line model is tested against the PPP-B code which accounts for their combined influence
on the spectral line shape. The proposed simplified model does not fully reproduce the
Stark–Zeeman features for the α and β transitions, but good agreement is observed in the line
width and wing profiles, especially for n > 5. The line model has been applied to infer radial
density profiles in the JET-ILW divertor with generally good agreement between the D 5 → 2,
5 → 3, 6 2 → , 7 → 2 and 9 → 2 lines for high recycling and detached conditions. In an L-mode
detached plasma pulse the Langmuir probe measurements typically underestimated the density
by a factor 2–3 and overestimated the electron temperature by a factor of 5–10 compared to
spectroscopically derived values. The line model is further used to generate synthetic highresolution spectra for low-n transitions to assess the potential for parameter recovery using
a multi-parametric fitting technique. In cases with 4 parameter fits with a single Maxwellian
neutral temperature component the D 4 → 3 line yields the best results with parameter estimates
within 10% of the input values. For cases with 9 parameter fits inclusive of a multi-component
neutral velocity distribution function the quality of the fits is degraded. Simultaneous fitting of
the D 3 → 2 and 4 → 3 profiles improves the fit quality significantly, highlighting the importance
of complementary spectroscopic measurements for divertor plasma emission studies
Abstract
EURATOM 633053Abstract
United Kingdom Engineering and Physical Research Council EP/K504178/1Additional details
Identifiers
- URL
- https://idus.us.es/handle//11441/100507
- URN
- urn:oai:idus.us.es:11441/100507