The EPICS Software Framework Moves from Controls to Physics

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

doi:10.18429/JACoW-IPAC2019-TUZZPLM3

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RIS citation export for TUZZPLM3: The EPICS Software Framework Moves from Controls to Physics

TY  - CONF
AU  - White, G.R.
AU  - Cobb, T.M.
AU  - Dalesio, L.R.
AU  - Davidsaver, M.A.
AU  - Hartman, S.M.
AU  - Hickin, D.G.
AU  - Johnson, A.N.
AU  - Junkes, H.
AU  - Kasemir, K.-U.
AU  - Konrad, M.G.
AU  - Korhonen, T.
AU  - Kraimer, M.R.
AU  - Lange, R.
AU  - Pearson, M.R.
AU  - Rivers, M.L.
AU  - Sekoranja, M.
AU  - Shankar, M.V.
AU  - Shen, G.
AU  - Shroff, K.
AU  - Veseli, S.
AU  - Vodopivec, K.
AU  - Zimoch, D.
ED  - Boland, Mark
ED  - Tanaka, Hitoshi
ED  - Button, David
ED  - Dowd, Rohan
ED  - Schaa, Volker RW
ED  - Tan, Eugene
TI  - The EPICS Software Framework Moves from Controls to Physics
J2  - Proc. of IPAC2019, Melbourne, Australia, 19-24 May 2019
CY  - Melbourne, Australia
T2  - International Particle Accelerator Conference
T3  - 10
LA  - english
AB  - 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.
PB  - JACoW Publishing
CP  - Geneva, Switzerland
SP  - 1216
EP  - 1218
KW  - EPICS
KW  - controls
KW  - detector
KW  - database
KW  - experiment
DA  - 2019/06
PY  - 2019
SN  - 978-3-95450-208-0
DO  - DOI: 10.18429/JACoW-IPAC2019-TUZZPLM3
UR  - http://jacow.org/ipac2019/papers/tuzzplm3.pdf
ER  -