Simulations of real-time system identification for superconducting cavities with a recursive least-squares algorithm
Fuente:
arXiv
Saved in:
| Main Author: | |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866916075963154432 |
|---|---|
| author | Ziemann, Volker |
| author_facet | Ziemann, Volker |
| contents | We explore the performance of a recursive least-squares algorithm to determine the bandwidth $ω_{12}$ and the detuning $Δω$ 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2309_01653 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Simulations of real-time system identification for superconducting cavities with a recursive least-squares algorithm Ziemann, Volker Accelerator Physics We explore the performance of a recursive least-squares algorithm to determine the bandwidth $ω_{12}$ and the detuning $Δω$ 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. |
| title | Simulations of real-time system identification for superconducting cavities with a recursive least-squares algorithm |
| topic | Accelerator Physics |
| url | https://arxiv.org/abs/2309.01653 |