Speaker
Description
As an imaging system supporting beam diagnostics using screen monitors (SCMs) at the SPring-8 site, we have continuously developed and improved a GigE Vision camera control system and expanded its adoption. By adopting the versatile open-source library Aravis, we eliminated vendor dependency and built an image acquisition system integrated into the SPring-8 control framework, MADOCA 4.0. Key features include the ability to control up to eight GigE cameras per computer with centralized management of camera power, trigger distribution, and screen operations. Its long-distance cabling enables flexible and simple deployment. Operation is achieved by writing the configuration file without programming, significantly reducing development costs and time. As part of the SPring-8 upgrade, this system was successfully implemented for the SCMs of the beam transport line (XSBT) that uses the SACLA linac as the injector for the SPring-8 storage ring*. We expanded the application of this system to the SCMs of the SACLA linac and the SACLA-BL1 linac (SCSS+), replacing the complex and costly Camera Link cameras. We also newly applied it to NewSUBARU injector linac and NanoTerasu in Sendai. This presentation outlines the R&D of our GigE Vision camera control system for stability and enhancements, reporting on multi-facility deployment, operation, and stabilization efforts toward advanced utilization like automated beam parameter optimization from beam diagnostics using machine learning.
Footnotes
- T. Sugimoto et al, THPS004, IPAC’25
** A. Kiyomichi et al, THAPP03, ICALEPCS2019
