Hi Greg,
Under this "big" title, do you plan to include the works we did at NSLS II?
One example would be to use MASAR as a major tool to support commissioning and daily operation.
If you are talking about possibility for the future, it might not be necessary to address those.
Thanks,
Guobao
On 5/5/19, 8:23 PM, "[email protected] on behalf of White, Greg via Core-talk" <[email protected] on behalf of [email protected]> wrote:
Hi everyone,
Last December Andrew, Steven and I drafted an abstract for an EPICS talk at IPAC 19.
THE EPICS SOFTWARE FRAMEWORK MOVES FROM CONTROL TO PHYSICS
Please find abstract and present authors below. Many of you are already authors from having contributed significant code and ideas. I’ll give the talk on our behalf.
I’m asking now for contributions to the talk and paper on adoption, and experiences of EPICS oriented towards physics (beyond SCADA). Contributions don't have to be about EPICS 7/4 specifically.
So, please let me know of work either you’ve done, or you think should be included.
** Ideally please give me one or two paragraphs, including context, plus a diagram or picture if at all possible. **
It’s an oral too - so if you have good visual material I’d love that.
Of course, any work described will get author credit.
Cheers, and many thanks in advance,
Greg
THE EPICS SOFTWARE FRAMEWORK MOVES FROM CONTROL TO PHYSICS
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, 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. The result has been that accelerator controls are now being integrated with modelling and simulation, machine learning, enterprise computing, and experiment DAQs. We introduce this new version of EPICS from the perspective of accelerator physicists, illustrate how data collection and analysis is now easier than ever, and review early adoption uses in accelerators around the world.
Present author list:
Authors: Greg White (SLAC, Menlo Park, California), Andrew Nicholas Johnson, Mark Lloyd Rivers, Sinisa Veseli (ANL, Argonne, Illinois), Kunal Shroff (BNL, Upton, Long Island, New York), Matej Sekoranja (Cosylab, Ljubljana), Timo Korhonen (ESS, Lund), David Gareth Hickin (EuXFEL, Schenefeld), Heinz Junkes (FHI, Berlin), Martin Gregor Konrad (FRIB, East Lansing), Ralph Lange (ITER Organization, St. Paul lez Durance), Steven M. Hartman, Kay-Uwe Kasemir (ORNL, Oak Ridge, Tennessee), Leo Bob Dalesio, Michael Davidsaver (Osprey DCS LLC, Ocean City), Dirk Zimoch (PSI, Villigen PSI), Martin Richard Kraimer (Self Employment, Private address)
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