Author: Wallace, T.A.
Paper Title Page
MODPL06
Recent and Future Upgrades to the Control Systems of LCLS and LCLS-II Scientific Instruments  
 
  • D.L. Flath, M.C. Browne, M.L. Gibbs, K. Gumerlock, B.L. Hill, A. Perazzo, M.V. Shankar, T.A. Wallace, D.H. Zhang
    SLAC, Menlo Park, California, USA
 
  Funding: LCLS is an Office of Science User Facility operated for the US Department of Energy Office of Science by Stanford University.
The Linac Coherent Light Source (LCLS), a US Department of Energy Office of Science user facility, achieved first light in 2009; a total of seven scientific instruments were commissioned through 2015. The EPICS-based control system, in terms of both hardware and software has evolved significantly over eight years of operation as the rate of experiment delivery has increased through means such as photon-beam multiplexing. A description of the upgrades and improvements to hardware, software, tools, and procedures will be presented. Additional discussion points will focus on: (1) the positive effect of upgrades regarding reduction of staffing levels and required skill-level required to support operations; (2) enabling highly skilled staff to focus on further improvements; and (3) current and future upgrades required to support the LCLS-II which will further expand experiment output when it achieves first light in 2020. LCLS-II topics include requirements for automation of routine tasks such as x-ray and optical-laser beam alignment, and focusing as well as improvements to user-interfaces and user-experience which will allow users and non-expert staff to execute experiments.
 
video icon Talk as video stream: https://youtu.be/9fOoEUmvBFE  
slides icon Slides MODPL06 [1.291 MB]  
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WEAPL06
Skywalker: Python Suite for Automated Photon Alignment at LCLS  
 
  • T.F. Rendahl, A.P. Rashed Ahmed, T.A. Wallace
    SLAC, Menlo Park, California, USA
 
  For the first seven years of its existence, the Linear Coherent Light Source (LCLS) at SLAC has been aligned manually by a combination of accelerator and beamline operators. In an effort to improve both the accuracy and speed of the initial delivery of X-ray light, a Python based automation suite Skywalker has been created to handle beam pointing to five unique experimental end stations. The module uses a configurable system identification algorithm to probe the parameter space of the mirror set, quickly building an accurate model without interrupting operation. The result is a robust model capable of precise movements without predefined assumptions. We will present the basic concepts and modules underlying Skywalker, analysis of the performance of the system at LCLS, and plans to extend the feature set to accommodate more intricate optical configurations.  
video icon Talk as video stream: https://youtu.be/Z8uDNsmPkio  
slides icon Slides WEAPL06 [2.153 MB]  
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THPHA129 Automated Contols for the Hard X-Ray Split & Delay System at the Linac Coherent Light Source 1678
 
  • A.P. Rashed Ahmed, M.C. Browne, D.L. Flath, K. Gumerlock, T.K. Johnson, L. Lee, Z.L. Lentz, T.F. Rendahl, H.S. Shi, H.H. Slepicka, Y. Sun, T.A. Wallace, D. Zhu
    SLAC, Menlo Park, California, USA
 
  Funding: Work supported by the U.S. Department of Energy under contract number DE-AC02-76SF00515.
The hard x-ray split and delay (HXRSnD) system at the Linear Coherent Light Source (LCLS) was designed to allow for experiments requiring two-pulse based x-ray photon correlation spectroscopy. The system consists of eight silicon crystals split between two optical branches, with over 30 degrees of freedom. To maintain system stability and safety while easing system operation, we expand the LCLS Skywalker software suite to provide a python-based automation scheme that handles alignment, operations and engineer notification. Core safety systems such as collision avoidance are processed at the controller and Experimental Physics and Industrial Control System (EPICS) layer. Higher level functionality is implemented using a stack of open-source python packages (ophyd, bluesky, transitions) which provide a comprehensive and robust operational environment consisting of virtual motors, plans and finite state machines (FSM).
 
poster icon Poster THPHA129 [0.831 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-THPHA129  
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