Author: Edelen, A.L.
Paper Title Page
MOPOB17 Resonant Frequency Control for the PIP-II Injector Test RFQ: Control Framework and Initial Results 109
 
  • A.L. Edelen, S. Biedron, S.V. Milton
    CSU, Fort Collins, Colorado, USA
  • D.L. Bowring, B.E. Chase, J.P. Edelen, D.J. Nicklaus, J. Steimel
    Fermilab, Batavia, Illinois, USA
  
  Funding: Work supported by Fermilab Research Alliance, LLC under Contract No. DE-AC02-07CH11359.
For the PIP-II Injector Test (PI-Test) at Fermilab, a four-vane radio frequency quadrupole (RFQ) is designed to accelerate a 30-keV, 1-mA to 10-mA H' beam to 2.1 MeV under both pulsed and continuous wave (CW) RF operation. The available headroom of the RF amplifiers limit the maximum allowable detuning to 3 kHz, and the detuning is controlled entirely via thermal regulation. Fine control over the detuning, minimal manual intervention, and fast trip recovery is desired. In addition, having active control over both the walls and vanes provides a wider tuning range. For this, we intend to use model predictive control (MPC). To facilitate these objectives, we developed a dedicated control framework that handles higher-level system decisions as well as executes control calculations. It is written in Python in a modular fashion for easy adjustments, readability, and portability. Here we describe the framework and present the first control results for the PI-Test RFQ under pulsed and CW operation. 		 
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-NAPAC2016-MOPOB17  
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TUPOA51 First Steps Toward Incorporating Image Based Diagnostics into Particle Accelerator Control Systems Using Convolutional Neural Networks 390
SUPO10   use link to see paper's listing under its alternate paper code  
 
  • A.L. Edelen, S. Biedron, S.V. Milton
    CSU, Fort Collins, Colorado, USA
  • J.P. Edelen
    Fermilab, Batavia, Illinois, USA
  
  At present, a variety of image-based diagnostics are used in particle accelerator systems. Often times, these are viewed by a human operator who then makes appropriate adjustments to the machine. Given recent advances in using convolutional neural networks (CNNs) for image processing, it should be possible to use image diagnostics directly in control routines (NN-based or otherwise). This is especially appealing for non-intercepting diagnostics that could run continuously during beam operation. Here, we show results of a first step toward implementing such a controller: our trained CNN can predict multiple simulated downstream beam parameters at the Fermilab Accelerator Science and Technology (FAST) facility's low energy beamline using simulated virtual cathode laser images, gun phases, and solenoid strengths.  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-NAPAC2016-TUPOA51  
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TUA3CO03 Compact Ring-Based X-Ray Source With on-Orbit and on-Energy Laser-Plasma Injection 435
 
  • M. Turner
    CERN, Geneva, Switzerland
  • J.R. Cheatam, A.L. Edelen
    CSU, Fort Collins, Colorado, USA
  • J. Gerity
    Texas A&M University, College Station, USA
  • A. Lajoie, C.Y. Wong
    NSCL, East Lansing, Michigan, USA
  • G. Lawler
    UCLA, Los Angeles, California, USA
  • O. Lishilin
    DESY Zeuthen, Zeuthen, Germany
  • K. Moon
    UNIST, Ulsan, Republic of Korea
  • A. A. Sahai, A. Seryi
    JAI, Oxford, United Kingdom
  • K. Shih
    SBU, Stony Brook, New York, USA
  • B. Zerbe
    MSU, East Lansing, Michigan, USA
  
  Funding: We acknowledge the stimulating atmosphere and support of US Particle Accelerator School, class of June 2016, where this design study was performed.
We report here the results of a one week long investigation into the conceptual design of an X-ray source based on a compact ring with on-orbit and on-energy laser-plasma accelerator (mini-project 10.4 from [1]). We performed these studies during the June 2016 USPAS class "Physics of Accelerators, Lasers, and Plasma…" applying the art of inventiveness TRIZ. We describe three versions of the light source with the constraints of the electron beam with energy 1 GeV or 3 GeV and a magnetic lattice design being normal conducting (only for the 1 GeV beam) or superconducting (for either beam). The electron beam recirculates in the ring, to increase the effective photon flux. We describe the design choices, present relevant parameters, and describe insights into such machines.
[1] Unifying physics of accelerators, lasers and plasma, A. Seryi, CRC Press, 2015. 		 
slides icon Slides TUA3CO03 [8.411 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-NAPAC2016-TUA3CO03  
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WEPOA15 Installation Progress at the PIP-II Injector Test at Fermilab 722
 
  • C.M. Baffes, M.L. Alvarez, R. Andrews, A.Z. Chen, J. Czajkowski, P. Derwent, J.P. Edelen, B.M. Hanna, B.D. Hartsell, K.R. Kendziora, D.V. Mitchell, L.R. Prost, V.E. Scarpine, A.V. Shemyakin, J. Steimel, T.J. Zuchnik
    Fermilab, Batavia, Illinois, USA
  • A.L. Edelen
    CSU, Fort Collins, Colorado, USA
  
  Funding: Fermilab is operated by Fermi Research Alliance, LLC under Contract No. De-AC02-07CH11359 with the United States Department of Energy
A CW-compatible, pulsed H− superconducting linac 'PIP-II' is being planned to upgrade Fermilab's injection complex. To validate the concept of the front-end of such a machine, a test accelerator (The PIP-II Injector Test, formerly known as "PXIE") is under construction. The warm part of this accelerator comprises a 10 mA DC 30 keV H− ion source, a 2m-long LEBT, a 2.1 MeV CW RFQ, and a 10-m long MEBT that is capable of creating a large variety of bunch structures. The paper will report on the installation of the RFQ and the first sections of the MEBT and related mechanical design considerations. 		 
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-NAPAC2016-WEPOA15  
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