A machine learning system is helping operators resolve routine faults at the Continuous Electron Beam Accelerator Facility (CEBAF). The system monitors the accelerator cavities, where faults can trip off the CEBAF. The system identified which cavities were tripping off about 85% of the time and identified the type of fault about 78% of the time.
For the past few years, researchers at the Department of Energy’s SLAC National Accelerator Laboratory have been developing “virtual diagnostics” that use machine learning to obtain crucial information about electron beam quality in an efficient, non-invasive way. Now, a new virtual diagnostic approach incorporates additional information about the beam that allows the method to work in situations where conventional diagnostics have failed.
Fermilab gives a sendoff to the final superconducting component for the LCLS-II particle accelerator at SLAC National Accelerator Laboratory in California. LCLS-II will be the world’s brightest and fastest X-ray laser. A partnership of particle accelerator technology, materials science, cryogenics and energy science, LCLS-II exemplifies cross-disciplinary collaboration across DOE national laboratories.
he U.S. Department of Energy (DOE) today announced $18 million in new funding to advance particle accelerator technology, a critical tool for discovery sciences and optimizing the way we treat medical patients, manufacture electronics and clean energy technologies, and defend the nation against security threats.
A team of scientists at the Center for Bright Beams (CBB) – a National Science Foundation Science and Technology Center led by Cornell University – are working on the next generation of superconducting materials that will greatly reduce the costs associated with operating large particle accelerators and lessen their environmental impact.
In honor of Hermann Grunder, the founding director of Jefferson Lab, and his contributions to accelerator science, the lab recently established the Hermann Grunder Postdoctoral Fellowship in Accelerator Science. Now, the first Hermann Grunder fellow, John Vennekate, has started work. He said he hopes to follow in the footsteps of his fellowship’s namesake to continue blazing a new trail for practical applications of superconducting accelerators.
Physicists at Oak Ridge National Laboratory have developed a measurement technique to better understand beam loss—stray particles that travel outside the confinement fields of a particle accelerator. Mitigating beam loss is paramount to realizing more powerful accelerators at smaller scales and lower costs.
A major injector upgrade at the U.S. Department of Energy’s Thomas Jefferson National Accelerator Facility was well underway early last year when the pandemic hit, throwing scientists and their long-anticipated project for a loop. Literally overnight, they had to leave their desks, control room and colleagues behind and rapidly learn how to work together from the confines of their own homes.
Dr. Nigel Smith has been selected to serve as the next Director of TRIUMF.
Well-known and appreciated by the scientific community for his work on beam physics and supercolliders, Shiltsev joins an organization whose membership included Marie Curie, Albert Einstein and Luigi Galvani.
Fermilab scientists and engineers are developing a machine learning platform to help run Fermilab’s accelerator complex alongside a fast-response machine learning application for accelerating particle beams. The programs will work in tandem to boost efficiency and energy conservation in Fermilab accelerators.
Operators of Jefferson Lab’s primary particle accelerator are getting a new tool to help them quickly address issues that can prevent it from running smoothly. The machine learning system has passed its first two-week test, correctly identifying glitchy accelerator components and the type of glitches they’re experiencing in near-real-time. An analysis of the results of the first field test of the custom-built machine learning system was recently published in the journal Physical Review Accelerators and Beams.
Some of the most advanced work to enable research at the U.S. Department of Energy’s Thomas Jefferson National Accelerator Facility is focused on ensuring that nothing gets in the way of the electron beam produced for nuclear physics experiments. Now, one Jefferson Lab staff scientist is being honored for her work on producing ultra-high to extreme-high vacuum environments to do just that.
On Oct. 21, the PIP-II Injector Test Facility accelerated proton beam through its superconducting section for the first time.
This award, totaling $2.5 million, will fund the development of a faster particle beam cooling method as well as the implementation of machine learning advancements to optimally control the system.
The U.S. Department of Energy awarded scientists at the Florida State University-headquartered National High Magnetic Field Laboratory $1.5 million to develop more efficient, robust superconductors that could lead to powerful particle accelerators and new discoveries about the universe.
Fermilab scientists have broken their own world record for an accelerator magnet. In June, their demonstrator steering dipole magnet achieved a 14.5-tesla field, surpassing the field strength of their 14.1-tesla magnet, which set a record in 2019. This magnet test shows that scientists and engineers can meet the demanding requirements for the future particle collider under discussion in the particle physics community.
The Department of Energy’s Office of Science has selected three Fermilab scientists to receive the 2020 DOE Early Career Research Award, now in its 11th year. The prestigious award is designed to bolster the nation’s scientific workforce by providing support to exceptional researchers during the crucial early years, when many scientists do their most formative work.
Marjorie Shapiro, an experimental particle physicist and faculty senior scientist at Berkeley Lab, has been accustomed to working remotely and observing extreme social distancing from some colleagues for years, given that the scientific experiment she supports is 5,800 miles away.
Engineers from five countries are coordinating the design of the large cryomodules that will enable the new PIP-II accelerator at Fermilab to generate protons for the world’s most powerful beam of neutrinos, in support of the international Deep Underground Neutrino Experiment.
Fermilab is upgrading its particle accelerators to generate high-intensity proton beams, which will pass through metallic “windows” and collide with a target. Researchers are testing the endurance of windows made of a titanium alloy, exposing samples to proton beams to see how the material performs.
SLAC researchers have developed a new tool, using machine learning, that may make part of the accelerator tuning process five times faster compared to previous methods.