Author: Jing, Y.C.
Paper Title Page
WEOYGD2
Results of the Coherent Electron Cooling Experiment at RHIC  
 
  • V. Litvinenko
    Stony Brook University, Stony Brook, USA
  • Z. Altinbas, S.J. Brooks, J.C. Brutus, Z.A. Conway, L. Cultrera, A.J. Curcio, L. DeSanto, A. Di Lieto, K.A. Drees, W. Fischer, M. Gaowei, X. Gu, M. Harvey, T. Hayes, H. Huang, M. Ilardo, P. Inacker, J.P. Jamilkowski, Y.C. Jing, P.K. Kankiya, R. Karl, D. Kayran, J. Kewisch, J. Ma, G.J. Mahler, G.J. Marr, A. Marusic, R.J. Michnoff, M.G. Minty, G. Narayan, L.K. Nguyen, M.C. Paniccia, I. Pinayev, T. Rao, G. Robert-Demolaize, T. Roser, P. Sampson, J. Sandberg, M.P. Sangroula, V. Schoefer, S. Seletskiy, F. Severino, T.C. Shrey, J. Skaritka, L. Smart, A. Sukhanov, R. Than, P. Thieberger, N. Tsoupas, J.E. Tuozzolo, E. Wang, G. Wang, D. Weiss, B.P. Xiao, A. Zaltsman
    BNL, Upton, New York, USA
  • I. Petrushina
    SUNY SB, Stony Brook, New York, USA
 
  Funding: Work supported by Brookhaven Science Associates, LLC under Contract No. DE-SC0012704 with the U.S. Department of Energy.
Coherent electron Cooling (CeC) experiment aims on demonstrating cooling during this RHIC run, which will be concluded in April 2022. In this talk we will present results of the CeC experiment with special focus won the use and the control of the broad-band micro-bunching Plasma Cascade Amplifier with bandwidth of 15 THz. We will also discuss connection of this experiment with the developing the CeC cooler for future Electron Ion Collider.
 
slides icon Slides WEOYGD2 [18.592 MB]  
Cite • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)  
 
WEPOMS057 Simulation Studies and Machine Learning Applications at the Coherent electron Cooling experiment at RHIC 2387
 
  • W. Lin, J.A. Crittenden, G.H. Hoffstaetter, M.A. Sampson
    Cornell University (CLASSE), Cornell Laboratory for Accelerator-Based Sciences and Education, Ithaca, New York, USA
  • Y.C. Jing
    BNL, Upton, New York, USA
  • K. Shih
    SBU, Stony Brook, New York, USA
 
  Funding: Work supported by the U.S. National Science Foundation under Award PHY-1549132, and by Brookhaven Science Associates, LLC under Contract No. DE-AC02-98CH10886 with the U.S. Department of Energy.
Coherent electron cooling is a novel cooling technique which cools high-energy hadron beams rapidly by amplifying the modulation induced by hadrons in electron bunches. The Coherent electron cooling (CeC) experiment at Brookhaven National Laboratory (BNL) is a proof-of-principle test facility to demonstrate this technique. To achieve efficient cooling performance, electron beams generated in the CeC need to meet strict quality standards. In this work, we first present sensitivity studies of the low energy beam transport (LEBT) section, in preparation for building a surrogate model of the LEBT line in the future. We also present preliminary test results of a machine learning (ML) algorithm developed to improve the efficiency of slice-emittance measurements in the CeC diagnostic line.
 
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2022-WEPOMS057  
About • Received ※ 06 June 2022 — Accepted ※ 15 June 2022 — Issue date ※ 15 June 2022  
Cite • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)