In 2004, researchers at the U.S Department of Energy’s Lawrence Berkeley National Laboratory took a giant step toward realizing the promise of laser wakefield acceleration, by guiding and controlling extremely intense laser beams over greater distances than ever before to produce high-quality energetic electron beams. The experimental results were then analyzed by running the VORPAL (known today as VSim) plasma simulation code on supercomputers at DOE’s National Energy Research Scientific Computing Center (NERSC) at Berkeley Lab. The results were published in the Sept. 30 issue of Nature magazine, which chose an image from the NERSC simulations for the magazine’s cover.
For over 25 years physicists have been trying to push charged particles to high energies with devices called laser wakefield accelerators. In theory, particles accelerated by the electric fields of laser-driven waves of plasma could reach, in just a few short meters, the high energies attained by miles long machines using conventional radio frequency acceleration. Stanford’s linear accelerator, for example, is two miles long and can accelerate electrons to 50 GeV (50 billion electron volts). Laser wakefield technology offers the possibility of a compact, high-energy accelerator that can be used for probing the subatomic world, studying new materials and new technologies, as well as applications in the health care field. In plasmas, researchers have generated electric fields a thousand to ten thousand times greater than in conventional accelerators. Unfortunately these large fields exist only over the short distance that a laser pulse remains intense and for tightly focused beams, that distance is typically only a few hundred micrometers. The resulting beams are of relatively poor quality, with particle energies so widespread that fewer than one percent have enough energy for use in scientific applications.

“With VSim, one can see the laser pulse breakup and the injection of particles into the laser-plasma accelerator,” said Cary, CEO of Tech-X Corp. and a professor of physics at the University of Colorado. “This allows one to understand how the injection and acceleration occur in detail so that the experiment’s designers can figure out how to optimize the process.”