paper

Simulations of real-time system identification for superconducting cavities with a recursive least-squares algorithm

arXiv:2309.01653 · doi:10.1103/PhysRevAccelBeams.26.112003

Abstract

We explore the performance of a recursive least-squares algorithm to determine the bandwidth and the detuning of a superconducting cavity. We base the simulations on parameters of the ESS double-spoke cavities. Expressions for the signal-to-noise ratio of derived parameters are given to explore the applicability of the algorithm to other configurations.

16 pages, 5 figures, substantial text overlap with arXiv:2307.07386

Simulations of real-time system identification for superconducting cavities with a recursive least-squares algorithm · wovepaper