Author: Moody, N.A.
Paper Title Page
MOPAB286 Towards a Data Science Enabled MeV Ultrafast Electron Diffraction System 906
 
  • M.A. Fazio, S. Biedron, M. Martínez-Ramón, D.J. Monk, S.I. Sosa Guitron
    UNM-ECE, Albuquerque, USA
  • M. Babzien, K.A. Brown, M.G. Fedurin, J.J. Li, M.A. Palmer, J. Tao
    BNL, Upton, New York, USA
  • S. Biedron, T. Talbott
    UNM-ME, Albuquerque, New Mexico, USA
  • J. Chen, A.J. Hurd, N.A. Moody, R. Prasankumar, C. Sweeney
    LANL, Los Alamos, New Mexico, USA
  • D. Martin, M.E. Papka
    ANL, Lemont, Illinois, USA
 
  Funding: US DOE, SC, BES, MSE, award DE-SC0021365 and DOE NNSA award 89233218CNA000001 through DOE’s EPSCoR program in Office of BES with resources of DOE SC User Facilities BNL’s ATF and ALCF.
A MeV ul­tra­fast elec­tron dif­frac­tion (MUED) in­stru­ment is a unique char­ac­ter­i­za­tion tech­nique to study ul­tra­fast processes in ma­te­ri­als by a pump-probe tech­nique. This rel­a­tively young tech­nol­ogy can be ad­vanced fur­ther into a turn-key in­stru­ment by using data sci­ence and ar­ti­fi­cial in­tel­li­gence (AI) mech­a­nisms in con­junc­tions with high-per­for­mance com­put­ing. This can fa­cil­i­tate au­to­mated op­er­a­tion, data ac­qui­si­tion and real time or near- real time pro­cess­ing. AI based sys­tem con­trols can pro­vide real time feed­back on the elec­tron beam which is cur­rently not pos­si­ble due to the use of de­struc­tive di­ag­nos­tics. Deep learn­ing can be ap­plied to the MUED dif­frac­tion pat­terns to re­cover valu­able in­for­ma­tion on sub­tle lat­tice vari­a­tions that can lead to a greater un­der­stand­ing of a wide range of ma­te­r­ial sys­tems. A data sci­ence en­abled MUED fa­cil­ity will also fa­cil­i­tate the ap­pli­ca­tion of this tech­nique, ex­pand its user base, and pro­vide a fully au­to­mated state-of-the-art in­stru­ment. We will dis­cuss the progress made on the MUED in­stru­ment in the Ac­cel­er­a­tor Test Fa­cil­ity of Brookhaven Na­tional Lab­o­ra­tory.
 
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2021-MOPAB286  
About • paper received ※ 20 May 2021       paper accepted ※ 09 June 2021       issue date ※ 25 August 2021  
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TUPAB205 Advancement of LANSCE Front End Accelerator Facility 1894
 
  • Y.K. Batygin, D. Gorelov, S.S. Kurennoy, J.W. Lewellen, N.A. Moody, L. Rybarcyk
    LANL, Los Alamos, New Mexico, USA
 
  Funding: Work supported by US DOE under contract 89233218CNA000001
The LAN­SCE ac­cel­er­a­tor started rou­tine op­er­a­tion in 1972 as a high-power fa­cil­ity for fun­da­men­tal re­search and na­tional se­cu­rity ap­pli­ca­tions. To re­duce long-term op­er­a­tional risk, we pro­pose to de­velop a new Front End of ac­cel­er­a­tor fa­cil­ity. It con­tains 100-keV in­jec­tor with 3-MeV RFQ, and 6-tanks Drift Tube Linac to ac­cel­er­ate par­ti­cles up to en­ergy of 100 MeV. The low-en­ergy in­jec­tor con­cept in­cludes two in­de­pen­dent trans­ports merg­ing H+ and H beams at the en­trance of RFQ. Beam­lines are aimed to per­form pre­lim­i­nary beam bunch­ing in front of ac­cel­er­a­tor sec­tion with sub­se­quent si­mul­ta­ne­ous ac­cel­er­a­tion of two dif­fer­ent beams in a sin­gle RFQ. The paper dis­cusses de­sign top­ics of new Front End of ac­cel­er­a­tor fa­cil­ity.
 
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2021-TUPAB205  
About • paper received ※ 12 May 2021       paper accepted ※ 28 May 2021       issue date ※ 14 August 2021  
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