Tootfinder

Real-Time Applicability of Emulated Virtual Circuits for Tokamak Plasma Shape Control
Pedro Cavestany (STFC Hartree Centre), Alasdair Ross (STFC Hartree Centre), Adriano Agnello (STFC Hartree Centre), Aran Garrod (STFC Hartree Centre), Nicola C. Amorisco (UK Atomic Energy Authority), George K. Holt (STFC Hartree Centre), Kamran Pentland (UK Atomic Energy Authority), James Buchanan (UK Atomic Energy Authority)

Real-Time Applicability of Emulated Virtual Circuits for Tokamak Plasma Shape Control
Machine learning has recently been adopted to emulate sensitivity matrices for real-time magnetic control of tokamak plasmas. However, these approaches would benefit from a quantification of possible inaccuracies. We report on two aspects of real-time applicability of emulators. First, we quantify the agreement of target displacement from VCs computed via Jacobians of the shape emulators with those from finite differences Jacobians on exact Grad-Shafranov solutions. Good agreement ($\approx$5-1…

Vertex addition to a ball graph with application to reliability and area coverage in autonomous swarms
Calum Buchanan, Puck Rombach, James Bagrow, Hamid R. Ossareh
https://arxiv.org/abs/2506.19197

Vertex addition to a ball graph with application to reliability and area coverage in autonomous swarms
A unit ball graph consists of a set of vertices, labeled by points in Euclidean space, and edges joining all pairs of points within distance $1$. These geometric graphs are used to model a variety of spatial networks, including communication networks between agents in an autonomous swarm. In such an application, vertices and/or edges of the graph may not be perfectly reliable; an agent may experience failure or a communication link rendered inoperable. With the goal of designing robust swarm fo…

Replaced article(s) found for physics.plasm-ph. https://arxiv.org/list/physics.plasm-ph/new
[1/1]:
- Bayesian optimisation of poloidal field coil positions in tokamaks
Timothy Nunn, Kamran Pentland, Vignesh Gopakumar, James Buchanan