The EPICS Software Framework Moves from Controls to Physics

White, Greg; Shankar, Murali; Johnson, Andrew Nicholas; Rivers, Mark  Lloyd; Shen, Guobao; Veseli, Sinisa; Shroff, Kunal; Sekoranja, Matej; Cobb, Tom; Korhonen, Tim; Hickin, David Gareth; Junkes, Heinz; Konrad, Martin Gregor; Lange, Ralph; Hartman, Steven M.; Kasemir, Kay-Uwe; Pearson, Matthew; Vodopivec, Klemen; Dalesio, Leo Bob; Davidsaver, Michael; Zimoch, Dirk; Kraimer, Martin Richard

doi:10.18429/JACoW-IPAC2019-TUZZPLM3

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The EPICS Software Framework Moves from Controls to Physics

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Junkes, Heinz
Interface Science, Fritz Haber Institute, Max Planck Society;

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White, G., Shankar, M., Johnson, A. N., Rivers, M. L., Shen, G., Veseli, S., et al. (2019). The EPICS Software Framework Moves from Controls to Physics. In Proceedings of the 10th International Particle Accelerator Conference. Geneva: JACoW. doi:10.18429/JACoW-IPAC2019-TUZZPLM3.

Cite as: https://hdl.handle.net/21.11116/0000-0004-5651-0

Abstract

The Experimental Physics and Industrial Control System (EPICS), is an open-source software framework for high-performance distributed control, and is at the heart of many of the world’s large accelerators and telescopes. Recently, EPICS has undergone a major revision, with the aim of better computing supporting for the next generation of machines and analytical tools. Many new data types, such as matrices, tables, images, and statistical descriptions, plus users’ own data types, now supplement the simple scalar and waveform types of the former EPICS. New computational architectures for scientific computing have been added for high-performance data processing services and pipelining. Python and Java bindings have enabled powerful new user interfaces. The result has been that controls are now being integrated with modelling and simulation, machine learning, enterprise databases, and experiment DAQs. We introduce this new EPICS (version 7) from the perspective of accelerator physics and review early adoption cases in accelerators around the world.