Author: Carcassi, G.
Paper Title Page
MOPMN015 Multi Channel Applications for Control System Studio (CSS) 271
 
  • K. Shroff, G. Carcassi
    BNL, Upton, Long Island, New York, USA
  • R. Lange
    HZB, Berlin, Germany
 
  Funding: Work supported by U.S. Department of Energy
This talk will present a set of applications for CSS built on top of the services provided by the ChannelFinder, a directory service for control system, and PVManager, a client library for data manipulation and aggregation. ChannelFinder Viewer allows for the querying of the ChannelFinder service, and the sorting and tagging of the results. Multi Channel Viewer allows the creation of plots from the live data of a group of channels.
 
poster icon Poster MOPMN015 [0.297 MB]  
 
FRBHMULT06 EPICS V4 Expands Support to Physics Application, Data Acsuisition, and Data Analysis 1338
 
  • L.R. Dalesio, G. Carcassi, M.A. Davidsaver, M.R. Kraimer, R. Lange, N. Malitsky, G. Shen
    BNL, Upton, Long Island, New York, USA
  • T. Korhonen
    Paul Scherrer Institut, 5232 Villigen PSI, Switzerland
  • J. Rowland
    Diamond, Oxfordshire, United Kingdom
  • M. Sekoranja
    Cosylab, Ljubljana, Slovenia
  • G.R. White
    SLAC, Menlo Park, California, USA
 
  Funding: Work supported under auspices of the U.S. Department of Energy under Contract No. DE-AC02-98CH10886 with Brookhaven Science Associates, LLC, and in part by the DOE Contract DE-AC02-76SF00515
EPICS version 4 extends the functionality of version 3 by providing the ability to define, transport, and introspect composite data types. Version 3 provided a set of process variables and a data protocol that adequately defined scalar data along with an atomic set of attributes. While remaining backward compatible, Version 4 is able to easily expand this set with a data protocol capable of exchanging complex data types and parameterized data requests. Additionally, a group of engineers defined reference types for some applications in this environment. The goal of this work is to define a narrow interface with the minimal set of data types needed to support a distributed architecture for physics applications, data acquisition, and data analysis.
 
slides icon Slides FRBHMULT06 [0.188 MB]