The search for the sterile neutrino
Back when it was theorized, scientists weren’t sure they would ever detect the neutrino. Now scientists, including some at Fermilab, are searching for a version of the particle that could be even more elusive.
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Back when it was theorized, scientists weren’t sure they would ever detect the neutrino. Now scientists, including some at Fermilab, are searching for a version of the particle that could be even more elusive.
Construction crews will excavate around 800,000 tons of rock to make space for the international Deep Underground Neutrino Experiment. But first, teams must carve out a quarter-mile-high ventilation shaft.
This spring testing wrapped up at the PIP-II Injector Test Facility, or PIP2IT. The successful outcome paves the way for the construction of PIP-II, a new particle accelerator that will power record-breaking neutrino beams and drive a broad physics research program at Fermilab for the next 50 years.
When the COVID-19 pandemic hit, travel bans and stay-at-home orders meant astrophysicists collaborating on the Dark Energy Survey needed to find a new way to conduct their observations using the Dark Energy Camera.
Fermilab signed three international arrangements in June with the National Institute for Nuclear Physics, known as INFN. The three arrangements are related to Fermilab’s Short Baseline Neutrino Program, the PIP-II particle accelerator and the EuPRAXIA advanced accelerator project.
Scientists discovered a new particle by comparing data recorded at the Large Hadron Collider and the Tevatron.
The first module of the prototype pixel-based neutrino catcher developed for the Deep Underground Neutrino Experiment is on its way to Fermilab from the University of Bern.
Quanta of light called photons are the smallest possible packets of electromagnetic energy. Learn the history behind how scientists came to understand photons — and what these particles have shown us (and might show us) they can do.
Whether in Serbia or Chicago, Fermilab postdoctoral researcher Aleksandra Ćiprijanović is working to unlock the secrets of the night sky. As a member of the Deep Skies Lab, an international collaboration of physicists, she’s figuring out how to use artificial intelligence and machine learning to better handle the huge amounts of data needed for discovery science.
Ground-breaking image reconstruction and analysis algorithms developed for surface-based MicroBooNE detector filter out cosmic ray tracks to pinpoint elusive neutrino interactions with unprecedented clarity.