Contacts: Francesco Sciortino, Tomas Odstrcil, Orso Meneghini
Runs the Aurora and STRAHL codes, displays output, and compares runs. Allows inferences of particle transport from experimental data for several devices, using a number of possible algorithms
Impurity transport, charged states, radiation, emission, LBO, Laser Blow Off, minimization
Aurora is a toolbox for particle transport, neutrals and radiation. Its development builds on the historical STRAHL code, also included in this module. Both Aurora and STRAHL can forward-model radial transport and emission of impurities in a tokamak plasma. They do so by solving radial continuity equations for each charge state of a chosen impurity in a 1.5D geometry, i.e. solving a 1D numerical problem with a single radial coordinate defined in terms of normalized flux surface volumes. An ansatz of diffusive-convective radial fluxes is used. STRAHL can also compute neoclassical transport coefficients; this should be considered a reduced model of what NEO can do (see the NEO_GACODE module in OMFIT).
The module focuses on the impurity transport and radiation, while the parameters of the background plasma are typically taken from the experiment. Some variations on this theme are possible though, e.g. to study electron transport via gas puffs or background (bulk) impurities. Neutral particle densities can also be considered as providing an additional recombination channel for impurities through charge exchange.
ImpRad can be used either for predicting impurity transport and the evolution of the impurity density, or post-diction and inference of particle transport coefficients, either using LMFIT or Bayesian nested sampling. Such inferences require experimental data to be modelled via one of a set of implemented synthetic diagnostics.
Ralph Dux STRAHL User Manual IPP 10/30 September, 2006 <http://pubman.mpdl.mpg.de/pubman/item/escidoc:2143869/component/escidoc:2143868/IPP_10_30.pdf>
Odstrcil, T., et al. Physics of Plasmas 27.8 (2020): 082503.<https://doi.org/10.1063/5.0010725>
Grierson et al. PoP 22, 055901 (2015).<http://dx.doi.org/10.1063/1.4918359>
F. Sciortino et al 2020 Nucl. Fusion 60 126014.<https://doi.org/10.1088/1741-4326/abae85>
List of contributors sorted by number of lines authored:
16395 Tomas Odstrcil 7277 Francesco Sciortino 685 Brian Grierson 494 Brian Victor 403 Orso Meneghini 248 Fusion Bot 4 David Eldon 2 Tim Slendebroek 1 Sterling Smith 1 Heng Lan