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New Technique Looks for Dark Matter Traces in Dark Places

A new study by scientists at Berkeley Lab, UC Berkeley, and the University of Michigan – published online this week in the journal Science – concludes that a possible dark matter-related explanation for a mysterious light signature in space is largely ruled out.

Looking Up From the Mountaintop: Q&A With a Telescope Instrument’s Lead Observer

In this Q&A Satya Gontcho A Gontcho, a lead observer for the Dark Energy Spectroscopic Instrument, shares her experiences at the DESI site near Tucson, Arizona, including evening observing stints to run through detailed checklists and probe how the instrument’s components are working.

Berkeley Lab Cosmologists Are Top Contenders in Machine Learning Challenge

In a machine learning challenge dubbed the 2020 Large Hadron Collider Olympics, a team of cosmologists from Berkeley Lab developed a code that best identified a mock signal hidden in simulated particle-collision data.

3 National Labs Achieve Record Magnetic Field for Accelerator Focusing Magnet

In a multiyear effort involving three U.S. national laboratories, researchers have successfully built and tested a powerful new focusing magnet that represents a new use for niobium-tin, a superconducting material. The eight-ton device – about as long as a semitruck trailer – set a record for the highest field strength ever recorded for an accelerator focusing magnet, and raises the standard for magnets operating in high-energy particle colliders.

Graphene: A Talented 2D Material Gets a New Gig

Berkeley Lab scientists have designed a tunable graphene device that could advance the development of next-generation memory devices and quantum computing technologies.

A Breakthrough on the Next Big Step to Building the World’s Most Powerful Particle Accelerator

The international Muon Ionization Cooling Experiment (MICE) collaboration, a U.K.-based effort that includes researchers at Berkeley Lab, has made a major step forward in the quest to create an accelerator for subatomic particles called muons.

Connecting the Dots: Researcher Works to Adapt Image-Recognition Technique Into the Quantum Realm

There wasn’t as much buzz about the particle physics applications of quantum computing when Amitabh Yadav began working on his master’s thesis in the field at Delft University of Technology in the Netherlands a couple of years ago, he recalled.

Internship Paves Path to Quantum-Computing Project at Berkeley Lab

If you study the detector readout shortly after a particle collision at CERN’s Large Hadron Collider (LHC), “It looks like somebody fired a shotgun at a target,” said Eric Rohm, a physics researcher from the University of South Carolina who spent August 2019 to December 2019 working on a quantum-computing project at Berkeley Lab. With the planned upgrade of the LHC, this seemingly scattershot picture will only become more complicated.

Particle Physics Turns to Quantum Computing for Solutions to Tomorrow’s Big-Data Problems

Giant-scale physics experiments are increasingly reliant on big data and complex algorithms fed into powerful computers, and managing this multiplying mass of data presents its own unique challenges. To better prepare for this data deluge posed by next-generation upgrades and new experiments, physicists are turning to the fledgling field of quantum computing.

Researcher Develops First-of-Its-Kind Quantum Algorithm for Particle Physics Data

Lucy Linder grew up near CERN, the largest high-energy physics laboratory in the world, but during her youth she didn’t pay much attention to the science taking place there. Her academic pursuits, though, would steer her on a circuitous path that brought her close to home – and to the wide world of particle physics research at CERN.