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- G.R. White, M.V. Shankar
SLAC, Menlo Park, California, USA
- T.M. Cobb
DLS, Oxfordshire, United Kingdom
- L.R. Dalesio, M.A. Davidsaver
Osprey DCS LLC, Ocean City, USA
- S.M. Hartman, K.-U. Kasemir, M.R. Pearson, K. Vodopivec
ORNL, Oak Ridge, Tennessee, USA
- D.G. Hickin
EuXFEL, Schenefeld, Germany
- A.N. Johnson, M.L. Rivers, G. Shen, S. Veseli
ANL, Argonne, Illinois, USA
- H. Junkes
FHI, Berlin, Germany
- M.G. Konrad, G. Shen
FRIB, East Lansing, Michigan, USA
- T. Korhonen
ESS, Lund, Sweden
- M.R. Kraimer
Self Employment, Private address, USA
- R. Lange
ITER Organization, St. Paul lez Durance, France
- M. Sekoranja
Cosylab, Ljubljana, Slovenia
- K. Shroff
BNL, Upton, Long Island, New York, USA
- D. Zimoch
PSI, Villigen PSI, Switzerland
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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.
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