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A new machine learning technology tested by Fermilab scientists and collaborators can spot specific particle signatures among an ocean of LHC data in the blink of an eye, much faster than standard methods. Sophisticated and swift, its performance gives a glimpse into the game-changing role machine learning will play in making future discoveries in particle physics as data sets get bigger and more complex.
Fermilab researchers have announced first results from IOTA, the lab’s newest particle accelerator. The first run, which included observations of single electrons circulating in the ring, illustrates the exciting potential of the versatile machine, both in advancing quantum science and improving accelerator beams.
If you’ve ever wondered what it was like to learn about the mind-bending concept of relativity when it first made a splash in public consciousness, come to Fermilab’s latest history exhibit. See works written by Einstein and read the public response to his groundbreaking theory.
Tran’s $2.5 million award will fund the development of new ways to handle the massive amounts of data that particle physics produces and to expand investigations of Higgs boson physics.
A pioneer in particle physics and high-performance computing, Fermilab has launched HEPCloud, a cloud computing service that will enable the lab’s demanding experiments to make the best, most efficient use of computing resources. This flagship project lets experiments rent computing resources from external sources during peak demand, reducing the costs of providing for local resources while also providing failsafe redundancy.
Karen Kosky gets to see many different aspects of Fermilab. She is the head of the Facilities Engineering Services Section, which manages everything from buildings and high-voltage electric systems to prairie burns and our herd of bison. She and her team work hard to maintain the site and keep Fermilab’s conventional facilities and property operations running smoothly.
Scientists are working on a pixelated detector capable of clearly and quickly capturing neutrino interactions — a crucial component for the near detector of the Deep Underground Neutrino Experiment. Using technological solutions developed at University of Bern and Berkeley Lab, a prototype detector called ArgonCube is under construction in Bern and will arrive at Fermilab next year.
As president, Frieman will oversee the affairs and business of the esteemed organization. More than 1,000 scientists every year visit the center to explore new research in physics, astrophysics and related fields.
It took three sky surveys to prepare for a new project that will create the largest 3-D map of the universe’s galaxies and glean new insights about the universe’s accelerating expansion. This Dark Energy Spectroscopic Instrument project will explore this expansion, driven by a mysterious property known as dark energy, in great detail. The surveys, which wrapped up in March, have amassed images of more than 1 billion galaxies and are essential in selecting celestial objects to target with DESI, now under construction in Arizona.
Particle accelerators are some of the most complicated machines in science. In today’s more autonomous era of self-driving cars and vacuuming robots, efforts are going strong to automate different aspects of the operation of accelerators, and the next generation of particle accelerators promises to be more automated than ever. Scientists are working on ways to run them with a diminishing amount of direction from humans.