Author: Hao, Y.
Paper Title Page
MOOHC2 The US Electron Ion Collider Accelerator Designs 1
 
  • A. Seryi, S.V. Benson, S.A. Bogacz, P.D. Brindza, M.W. Bruker, A. Camsonne, E. Daly, P. Degtiarenko, Y.S. Derbenev, M. Diefenthaler, J. Dolbeck, R. Ent, R. Fair, D. Fazenbaker, Y. Furletova, B.R. Gamage, D. Gaskell, R.L. Geng, P. Ghoshal, J.M. Grames, J. Guo, F.E. Hannon, L. Harwood, S. Henderson, H. Huang, A. Hutton, K. Jordan, D.H. Kashy, A.J. Kimber, G.A. Krafft, R. Lassiter, R. Li, F. Lin, M.A. Mamun, F. Marhauser, R. McKeown, T.J. Michalski, V.S. Morozov, P. Nadel-Turonski, E.A. Nissen, G.-T. Park, H. Park, M. Poelker, T. Powers, R. Rajput-Ghoshal, R.A. Rimmer, Y. Roblin, D. Romanov, P. Rossi, T. Satogata, M.F. Spata, R. Suleiman, A.V. Sy, C. Tennant, H. Wang, S. Wang, C. Weiss, M. Wiseman, W. Wittmer, R. Yoshida, H. Zhang, S. Zhang, Y. Zhang, Z.W. Zhao
    JLab, Newport News, Virginia, USA
  • D.T. Abell, D.L. Bruhwiler, I.V. Pogorelov
    RadiaSoft LLC, Boulder, Colorado, USA
  • E.C. Aschenauer, G. Bassi, J. Beebe-Wang, J.S. Berg, M. Blaskiewicz, A. Blednykh, J.M. Brennan, S.J. Brooks, K.A. Brown, K.A. Drees, A.V. Fedotov, W. Fischer, D.M. Gassner, W. Guo, Y. Hao, A. Hershcovitch, H. Huang, W.A. Jackson, J. Kewisch, A. Kiselev, V. Litvinenko, C. Liu, H. Lovelace III, Y. Luo, F. Méot, M.G. Minty, C. Montag, R.B. Palmer, B. Parker, S. Peggs, V. Ptitsyn, V.H. Ranjbar, G. Robert-Demolaize, T. Roser, S. Seletskiy, V.V. Smaluk, K.S. Smith, S. Tepikian, P. Thieberger, D. Trbojevic, N. Tsoupas, E. Wang, W.-T. Weng, F.J. Willeke, H. Witte, Q. Wu, W. Xu, A. Zaltsman, W. Zhang
    BNL, Upton, New York, USA
  • D.P. Barber
    DESY, Hamburg, Germany
  • I.V. Bazarov
    Cornell University, Ithaca, New York, USA
  • G.I. Bell, J.R. Cary
    Tech-X, Boulder, Colorado, USA
  • Y. Cai, Y.M. Nosochkov, A. Novokhatski, G. Stupakov, M.K. Sullivan, C.-Y. Tsai
    SLAC, Menlo Park, California, USA
  • Z.A. Conway, M.P. Kelly, B. Mustapha, U. Wienands, A. Zholents
    ANL, Lemont, Illinois, USA
  • S.U. De Silva, J.R. Delayen, H. Huang, C. Hyde, S. Sosa, B. Terzić
    ODU, Norfolk, Virginia, USA
  • K.E. Deitrick, G.H. Hoffstaetter
    Cornell University (CLASSE), Cornell Laboratory for Accelerator-Based Sciences and Education, Ithaca, New York, USA
  • D. Douglas
    Douglas Consulting, York, Virginia, USA
  • V.G. Dudnikov, R.P. Johnson
    Muons, Inc, Illinois, USA
  • B. Erdelyi, P. Piot
    Northern Illinois University, DeKalb, Illinois, USA
  • J.D. Fox
    Stanford University, Stanford, California, USA
  • J. Gerity, T.L. Mann, P.M. McIntyre, N. Pogue, A. Sattarov
    Texas A&M University, College Station, USA
  • E. Gianfelice-Wendt, S. Nagaitsev
    Fermilab, Batavia, Illinois, USA
  • Y. Hao, P.N. Ostroumov, A.S. Plastun, R.C. York
    FRIB, East Lansing, Michigan, USA
  • T. Mastoridis
    CalPoly, San Luis Obispo, California, USA
  • J.D. Maxwell, R. Milner, M. Musgrave
    MIT, Cambridge, Massachusetts, USA
  • J. Qiang, G.L. Sabbi
    LBNL, Berkeley, California, USA
  • D. Teytelman
    Dimtel, Redwood City, California, USA
  • R.C. York
    NSCL, East Lansing, Michigan, USA
  
  With the completion of the National Academies of Sciences Assessment of a US Electron-Ion Collider, the prospects for construction of such a facility have taken a step forward. This paper provides an overview of the two site-specific EIC designs: JLEIC (Jefferson Lab) and eRHIC (BNL) as well as brief overview of ongoing EIC R&D.  
slides icon Slides MOOHC2 [14.774 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-NAPAC2019-MOOHC2  
About • paper received ※ 29 August 2019       paper accepted ※ 04 September 2019       issue date ※ 08 October 2019  
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MOYBA4 eRHIC Design Update 18
TUPLO11   use link to see paper's listing under its alternate paper code  
 
  • C. Montag, G. Bassi, J. Beebe-Wang, J.S. Berg, M. Blaskiewicz, A. Blednykh, J.M. Brennan, S.J. Brooks, K.A. Brown, K.A. Drees, A.V. Fedotov, W. Fischer, D.M. Gassner, Y. Hao, A. Hershcovitch, C. Hetzel, D. Holmes, H. Huang, W.A. Jackson, J. Kewisch, Y. Li, C. Liu, H. Lovelace III, Y. Luo, F. Méot, M.G. Minty, R.B. Palmer, B. Parker, S. Peggs, V. Ptitsyn, V.H. Ranjbar, G. Robert-Demolaize, S. Seletskiy, V.V. Smaluk, K.S. Smith, S. Tepikian, P. Thieberger, D. Trbojevic, N. Tsoupas, S. Verdú-Andrés, W.-T. Weng, F.J. Willeke, H. Witte, Q. Wu, W. Xu, A. Zaltsman, W. Zhang
    BNL, Upton, New York, USA
  • Y. Cai, Y.M. Nosochkov
    SLAC, Menlo Park, California, USA
  • E. Gianfelice-Wendt
    Fermilab, Batavia, Illinois, USA
  
  Funding: Work supported by Brookhaven Science Associates, LLC under Contract No. DE-AC02-98CH10886 with the U.S. Department of Energy.
The future electron-ion collider (EIC) aims at an electron-proton luminosity of 1033 to 1034 cm-2 sec-1 and a center-of-mass energy range from 20 to 140 GeV. The eRHIC design has been continuously evolving over a couple of years and has reached a considerable level of maturity. The concept is generally conservative with very few risk items which are mitigated in various ways. 		 
slides icon Slides MOYBA4 [5.466 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-NAPAC2019-MOYBA4  
About • paper received ※ 24 August 2019       paper accepted ※ 31 August 2019       issue date ※ 08 October 2019  
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TUPLM12 Method for a Multiple Square Well Model to Study Transverse Mode Coupling Instability 395
SUPLM18   use link to see paper's listing under its alternate paper code  
 
  • M.A. Balcewicz, Y. Hao
    FRIB, East Lansing, Michigan, USA
  • M. Blaskiewicz
    BNL, Upton, New York, USA
  
  In the high intensity limit it can become difficult to simulate intense beams sufficiently within a short time scale due to collective effects. Semi-Analytic methods such as the Square Well Model*/AirBag Square Well** (SWM/ABS) exist to estimate collective effects within a short time scale. SWM/ABS discretizes the longitudinal confining potential into a single square well enforcing linearity for the case of linear transverse optics. A method is proposed here to extend the Square Well Method multiple square wells. This method preserves linearity properties that make it easily solvable within a short time scale as well as including nonlinear effects from the longitudinal potential shape.
*M. Blaskiewicz PRSTAB 1, 044201. 1998
**A. Burov PRAB 22, 034202. 2019 		 
poster icon Poster TUPLM12 [1.818 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-NAPAC2019-TUPLM12  
About • paper received ※ 27 August 2019       paper accepted ※ 05 September 2019       issue date ※ 08 October 2019  
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TUPLO06 Weak-Strong Beam-Beam Simulation for eRHIC 545
 
  • Y. Luo, G. Bassi, M. Blaskiewicz, W. Fischer, C. Montag, V. Ptitsyn, F.J. Willeke
    BNL, Upton, New York, USA
  • Y. Hao, D. Xu
    FRIB, East Lansing, Michigan, USA
  • J. Qiang
    LBNL, Berkeley, California, USA
  
  Funding: Work supported by Brookhaven Science Associates, LLC under Contract No. DE-AC02-98CH10886 with the U.S. Department of Energy.
In the eRHIC, to compensate the geometric luminosity loss due to the crossing angle, crab cavities are to be installed on both sides of the interaction point. When the proton bunch length is comparable to the wavelength of its crab cavities, protons will not be perfectly tilted in the x-z plane. In the article, we employ weak-strong beam-beam interaction model to calculate the proton beam size growth rates and luminosity degradation rate with various machine and time parameters. The goal of these studies is to optimize the the beam-beam related machine and beam parameters of eRHIC. 		 
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-NAPAC2019-TUPLO06  
About • paper received ※ 29 August 2019       paper accepted ※ 03 September 2019       issue date ※ 08 October 2019  
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TUPLO07 Calculation of Action Diffusion With Crabbed Collision in eRHIC 549
 
  • Y. Luo, G. Bassi, M. Blaskiewicz, W. Fischer, C. Montag, V. Ptitsyn, F.J. Willeke
    BNL, Upton, New York, USA
  • Y. Hao, D. Xu
    FRIB, East Lansing, Michigan, USA
  • J. Qiang
    LBNL, Berkeley, California, USA
  
  Funding: Work supported by Brookhaven Science Associates, LLC under Contract No. DE-AC02-98CH10886 with the U.S. Department of Energy.
In the eRHIC, to compensate the geometric luminosity loss due to the crossing angle, crab cavities are to be installed on both sides of the interaction point. When the proton bunch length is comparable to the wavelength of its crab cavities, protons will not be perfectly tilted in the x-z plane. In the article, we develop a simulation code to calculate the transverse action diffusion rate as function of the initial proton longitudinal action. The goal of this study is to identify the contributions from various protons to the overall emittance growth. Tune scan is also performed to locate optimum working points which yield less proton emittance growth. 		 
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-NAPAC2019-TUPLO07  
About • paper received ※ 29 August 2019       paper accepted ※ 03 September 2019       issue date ※ 08 October 2019  
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THXBA2 Analysis of Beam Position Monitor Requirements with Bayesian Gaussian Regression 912
WEPLM09   use link to see paper's listing under its alternate paper code  
 
  • Y. Li, R.S. Rainer
    BNL, Upton, New York, USA
  • W.X. Cheng
    ANL, Lemont, Illinois, USA
  • Y. Hao
    FRIB, East Lansing, Michigan, USA
  
  Funding: This research is supported by U.S. Department of Energy under Contract No. DE-SC0012704, and the NSF under Cooperative Agreement PHY-1102511.
With a Bayesian Gaussian regression approach, a systematic method for analyzing a storage ring’s beam position monitor (BPM) system requirements has been developed. The ultimate performance of a ring-based accelerator, based on brightness or luminosity, is determined not only by global parameters, but also by local beam properties at some particular points of interest (POI). BPMs used for monitoring the beam properties, however, can not be located at these points. Therefore, the underlying and fundamental purpose of a BPM system is to predict whether the beam properties at POIs reach their desired values. The prediction process is a regression problem with BPM readings as the training data, but containing random noise. A Bayesian Gaussian regression approach can determine the probability distribution of the predictive errors, which can be used to conversely analyze the BPM system requirements. This approach is demonstrated by using turn-by-turn data to reconstruct a linear optics model, and predict the brightness degradation for a ring-based light source. The quality of BPMs was found to be more important than their quantity in mitigating predictive errors. 		 
slides icon Slides THXBA2 [3.205 MB]  
poster icon Poster THXBA2 [7.083 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-NAPAC2019-THXBA2  
About • paper received ※ 16 August 2019       paper accepted ※ 04 September 2019       issue date ※ 08 October 2019  
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