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Featured researches published by Leo R. Dalesio.


Nuclear Instruments & Methods in Physics Research Section A-accelerators Spectrometers Detectors and Associated Equipment | 1994

The Experimental Physics and Industrial Control System architecture: Past, present, and future

Leo R. Dalesio; J.O. Hill; Martin R. Kraimer; Stephen Lewis; Douglas Murray; Stephan Hunt; W. Watson; Matthias Clausen; John Dalesio

Abstract The Experimental Physics and Industrial Control System (EPICS), has been used at a number of sites for performing data acquisition, supervisory control, closed-loop control, sequential control, and operational optimization. The EPICS architecture was originally developed by a group with diverse backgrounds in physics and industrial control. The current architecture represents one instance of the “standard model”. It provides distributed processing and communication from any local area network (LAN) device to the front end controllers. This paper presents the current architecture, performance envelope, current installations, and planned extensions for requirements not met by the current architecture.


Nuclear Instruments & Methods in Physics Research Section A-accelerators Spectrometers Detectors and Associated Equipment | 1990

The Los Alamos accelerator control system database: A generic instrumentation interface☆

Leo R. Dalesio

Abstract Controlling experimental-physics applications requires a control system that can be quickly integrated and easily modified. One aspect of the control system is the interface to the instrumentation. An instrumentation set has been chosen to implement the basic functions needed to monitor and control these applications. A data-driven interface to this instrumentation set provides the required quick integration of the control system. This type of interface is limited by its built-in capabilities. Therefore, these capabilities must provide an adequate range of functions to be of any use. The data-driven interface must support the instrumentation range required, the events on which to read or control the instrumentation and a method for manipulating the data to calculate terms or close control loops. The database for the Los Alamos Accelerator Control System addresses these requirements.


Proceedings of the 1999 Particle Accelerator Conference (Cat. No.99CH36366) | 1999

Vacuum control system for the Los Alamos Low Energy Demonstration Accelerator proton injector

Leo R. Dalesio; Debora M. Kerstiens; Mitchell C. Richards; Gilbert A. Salazar; Joseph D. Sherman; David S. Warren; T. Zaugg

A vacuum control system has been developed for use on the Los Alamos National Laboratory continuous wave (cw) Low Energy Demonstration Accelerator (LEDA) proton injector. This paper summarizes hardware and software implementation to satisfy the following design criteria: (1) performs as a standalone system-no direct access to CPU/memory components by computer control hardware during normal operations, (2) has local (chassis) and remote control (EPICS & LabVIEW) capabilities, (3) is electrically isolated and filtered from electrical transients created from injector high voltage spark-downs to ground, and (4) incorporates fast protect and fail safe components.


Archive | 1996

Distributed Software Development in the EPICS Collaboration

Leo R. Dalesio; Martin R. Kraimer; W. Watson; Matthias Clausen


1997 international conference on accelerator and large experimental physics control systems, Beijing (China), 3-9 Nov 1997 | 1998

Data archiving in experimental physics

Leo R. Dalesio; W. Watson; Matthew Bickley; Matthias Clausen


Archive | 2018

RF Controls for High-Q Cavities for the LCLS-II

Carlos Serrano; Kerri Campbell; Joshua Einstein-Curtis; Alessandro Ratti; Warren Schappert; Ramakrishna Bachimanchi; Jeremiah Holzbauer; Gregorio Dalit; Garth Brown; Leo R. Dalesio; Andre McCollough; Brian Chase; Andrew Benwell; Daniel Klepec; John Jones; David Nam Sul Cha; Ed Cullerton; Gang Huang; Michael Davidsaver; Curt Hovater; Lawrence Doolittle; Jorge Diaz Cruz; Richard Kelly; Yuriy Pischalnikov; Matt Boyes


15th Int. Conf. on Accelerator and Large Experimental Physics Control Systems (ICALEPCS'15), Melbourne, Australia, 17-23 October 2015 | 2015

Recent Advancements and Deployments of EPICS Version 4

Greg White; Arman Arkilic; Leo R. Dalesio; Michael Davidsaver; Steven Hartman; David Hickin; Andrew N. Johnson; Kay-Uwe Kasemir; Timo Korhonen; Martin R. Kraimer; Ralph Lange; Nikolay Malitsky; Bruno Martins; Matej Sekoranja; Murali Shankar; Guobao Shen; Sinisa Veseli


Archive | 2013

Device Oriented Project Controller

Leo R. Dalesio; Martin R. Kraimer


Archive | 2011

EPICS V4 EXPANDS SUPPORT TO PHYSICS APPLICATION, DATA ACSUISITION, AND DATA ANALYSIS*

Leo R. Dalesio; Gabriele Carcassi; Martin Richard Kraimer; Nikolay Malitsky; Guobao Shen; Michael Davidsaver; Matej Sekoranja; James Rowland; Timo Korhonen

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Martin R. Kraimer

Argonne National Laboratory

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W. Watson

Thomas Jefferson National Accelerator Facility

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Guobao Shen

Brookhaven National Laboratory

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Michael Davidsaver

Brookhaven National Laboratory

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Alessandro Ratti

Lawrence Berkeley National Laboratory

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Curt Hovater

Thomas Jefferson National Accelerator Facility

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David S. Warren

Los Alamos National Laboratory

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Debora M. Kerstiens

Los Alamos National Laboratory

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