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ArgoNeuT hits a home run with measurements of neutrinos in liquid argon

Scientists on the ArgoNeuT experiment have developed a method that enables them to better distinguish the tracks that particles leave behind in liquid argon, as well as a way to better differentiate between signals and background. And thanks to the software’s great performance, ArgoNeuT will aid larger neutrino experiments in their quest to understand the nature of the subtle neutrino.

Signing off from southern sky post

    From APS’s Physics, Jan. 29, 2019: On Jan. 9, a handful of researchers with the Dark Energy Survey — one of the most ambitious attempts to probe the dynamics of the universe’s expansion — headed to the control room of Chile’s Blanco Telescope. For one last time, they opened the white telescope’s dome. From their perch overlooking the red Andean Mountains, they set up for a night of observing the southern sky.

    Retired equipment lives on in new physics experiments

    Physicists often find thrifty, ingenious ways to reuse equipment and resources. What do you do about an 800-ton magnet originally used to discover new particles? Send it off on a months-long journey via truck, train and ship halfway across the world to detect oscillating particles called neutrinos, of course. It’s all part of the vast recycling network of the physics community.

    Data scientists face off in LSST machine-learning competition

      A new telescope will take a sequence of snapshots with the world’s largest digital camera, covering the entire visible night sky every few days — and repeating the process for an entire decade. What’s the best way to rapidly and automatically identify and categorize all of the stars, galaxies and other objects captured in these images? Data scientists trained have computers to pick out useful information from these hi-res snapshots of the universe.