Argonne National Laboratory

High Energy Physics

Argonne maintains a wide-ranging science and technology portfolio that seeks to address complex challenges in interdisciplinary and innovative ways. Below is a list of all articles, highlights, profiles, projects, and organizations related specifically to high energy physics.

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  • High Energy Physics

    Research in the High Energy Physics division is driven by the goal of understanding the fundamental constituents of matter and energy, and illuminating the ultimate nature of space and time.
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  • Neutrinoless Double Beta Decay

    Is the neutrino its own antiparticle? Physicists have been searching for ​“neutrino-less double beta decay,” which can answer this fundamental question. 
    The world's first neutrino observation in a hydrogen bubble chamber. It was found Nov. 13, 1970, on this photograph from the Zero Gradient Synchrotron's 12-foot bubble chamber.

  • Theoretical High Energy Physics

    Much of the work of high energy physics concentrates on the interplay between theory and experiment. The Argonne Theory Group is active in exploring the particle physics Standard Model and in searching for avenues to go beyond it.

  • Jessica Erin Metcalfe

    Jessica Metcalfe works within the ATLAS Group where she searches for new physics beyond the Standard Model of particle physics and works on the development of pixel detectors.

  • Amy N. Bender

    Amy Bender is a member of the Experimental Cosmology group. Her research focuses on understanding the fundemental physics of the universe through measurements of the cosmic microwave background (CMB).

  • Lindsey E. Bleem

    Dr. Bleem seeks to answer questions by studying of clusters of galaxies---the largest gravitationally bound systems in the universe.

  • Salman Habib

    Salman has research activities in physical science, ranging from high energy physics to cosmology. He also leads projects in the areas of algorithms & computational methods, high-performance computing, and advanced statistical methods & machine learning.