Author: Cormier-Michel, E.
Paper Title Page
FRABI2 Big Data Analysis and Visualization: What Do Linacs and Tropical Cyclones Have in Common? 299
 
  • E.W. Bethel, S. Byna, J. Chou, E. Cormier-Michel, C.G.R. Geddes, M. Howison, F. Li, P. Prabhat, J. Qiang, O. Rübel, R.D. Ryne, M.F. Wehner, K. Wu
    LBNL, Berkeley, California, USA
 
  Funding: This work was supported by the Director, Office of Science, Office and Advanced Scientific Computing Research, of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231.
While there is wisdom in the old adage "the two constants in life are death and taxes," there are unavoidable truths facing modern experimental and computational science. First is the growing "impedence mismatch" between our ability to collect and generate data, and our ability to store, manage, and gain understanding from it. The second is the fact that we cannot continue to rely on the same software technologies that have worked well for the past couple of decades for data management, analysis, and visualization. A third is that these complementary activities must be considered in a holistic, rather than balkanized way. The inseperable interplay between data management, analysis, visualization, and high performance computational infrastructure, are best viewed through the lens of case studies from multiple scientific domains, where teams of computer and accelerator scientists combine forces to tackle challenging data understanding problems.
 
slides icon Slides FRABI2 [3.622 MB]  
 
TUSBC2 Low Noise Particle-in-Cell Simulations of Laser Plasma Accelerator 10 GeV Stages 78
 
  • E. Cormier-Michel, D.L. Bruhwiler, J.R. Cary, B.M. Cowan, E.J. Hallman
    Tech-X, Boulder, Colorado, USA
  • E. Esarey, C.G.R. Geddes, W. Leemans, C.B. Schroeder, J.-L. Vay
    LBNL, Berkeley, California, USA
 
  Funding: Work supported by DOE/HEP, under grants DE-SC0004441 and DE-FC02-07ER41499, including use of NERSC under DE-AC02-05CH11231.
Because of their ultra-high accelerating gradient, laser plasma based accelerators (LPA) are contemplated for the next generation of high-energy colliders and light sources. The upcoming BELLA project will explore acceleration of electron bunches to 10 GeV in a 1 meter long plasma, where a wakefield is driven by a PW-class laser. Particle-in-cell (PIC) simulations are used to design the upcoming experiments where boosted frame simulations are used to model the full scale stages. As criteria on energy spread and beam emittance become more stringent, PIC simulations become more challenging as high frequency noise artificially increases those quantities. We show that calculating the beam self-fields using a static Poisson solve in the beam frame dramatically reduces particle noise, allowing for more accurate simulation of the beam evolution. In particular, this method gets correct cancellation of the transverse self-electric and magnetic fields of the beam, eliminating artificial self-forces, which is usually not true when using the standard PIC algorithm based on the staggered (“Yee”) electromagnetic field solver.
 
slides icon Slides TUSBC2 [5.989 MB]