FRIB, East Lansing, Michigan, USA
To facilitate software development for the high-level applications on the particle accelerator, we proposed and prototyped a computing platform, so-called ’phyapps-cloud’. Based on the technology stack composed by Python, JavaScript, Docker, and Web service, such a system could greatly decouple deployment and development. That is, the users (app developers) only need to focus on the feature development by working on the infrastructure that is served by ’phyapps-cloud’, while the cloud service provider (which develop and deploy ’phyapps-cloud’) could focus on the development of the infrastructure. In this contribution, the development details will be addressed, as well as the demonstration of a simple Python script development on this platform.
FRIB, East Lansing, Michigan, USA
For the accelerators driven by the distributed control system like EPICS, control engineers solve the problem to make the devices work, while accelerator physicists dedicate themselves to make the machine run as the physics predicted. To fill the gap between the physics high-level controls and the low-level device controls, we developed a software framework that can help the users like accelerator physicists and operators, to work well with the machine in an object-oriented way, based on which the implementations for the physics control algorithms could be very efficient, understandable and maintainable.* Meanwhile, the modularized UI widgets are developed to standardize the high-level GUI applications development, to greatly reuse the codebase and ease the development. The most important thing is all the development also apply to other EPICS based accelerators. In this contribution, the design and implementation for both interactive Python scripting controls and high-level GUIs development will be addressed.
*Tong Zhang, "Physics high-level applications and toolkit for accelerator system", EPICS Collaboration Meeting, Jun. 2018, ANL, US
