29 June 2026 to 3 July 2026
EICC, Edinburgh
Europe/London timezone

Improved Neutral Beam Injection source region modelling via self-consistent Virtual Cathode evolution

Not scheduled
20m
EICC, Edinburgh

EICC, Edinburgh

150 Morrison St, Edinburgh EH3 8EE
Poster Presentation Scenario Development, Heating and Current Drive (MCF)

Description

In negative ion neutral beam injection (NBI), H⁻/D⁻ ions are produced in the source region and subsequently neutralised to form the neutral beam. The dominant production mechanism is the conversion of H atoms to H⁻/D⁻ ions on a caesiated plasma grid (PG). To date, fully kinetic particle-in-cell (PIC) simulations have struggled to self-consistently reproduce the H⁻/D⁻ ion density observed in the bulk plasma, typically underpredicting experimental values. This discrepancy arises from the common assumption of a uniform background H atom density, imposed for computational efficiency, which leads to premature H⁻/D⁻ emission and the formation of an artificially deep virtual cathode near the PG. The resulting negative space-charge potential suppresses ion transport into the bulk plasma. In this work, two modifications were explored to achieve a more self-consistent treatment of virtual cathode formation and evolution: (i) modelling emitted H⁻/D⁻ ions with a truncated Maxwellian distribution, and (ii) introducing an artificial proton drift toward the PG to offset early ion emission. For a plasma density of 2 x 10^17m-3, these approaches yield an H⁻ density of 4.3 x 10^16m-3 in the bulk plasma, representing an 89% increase relative to the baseline model. While experiments report a corresponding density of 6 x 10^16m-3, simulations employing only the proton drift while retaining a Maxwellian emission model produce an H⁻ density of 4.8 x1016 m-3, substantially closer to experimental observations than previously achieved. These results indicate that the artificial early formation of the virtual cathode in simulations is the main reason for the bulk plasma H⁻/D⁻ ion density discrepancy between simulations and experiments.

Author

Gregory Stathopoulos (University of Liverpool)

Co-author

Mr Mohammad Hasan (University of Liverpool)

Presentation materials