Newsroom

William Pellico received this year’s URA Honorary Engineering Award highlighting his innovative application of power-over-fiber technology for use in DUNE’s cryogenic environments.

To aid in the search for elusive dark matter, Kevin Pedro looks for ways to harness the capabilities of artificial intelligence for analyzing particle collision data. For this work, Pedro was awarded the 2024 Universities Research Association Honorary Early Career Award.

Ana Martina Botti’s work as a postdoctoral researcher has helped pave the way for more sensitive dark matter searches using skipper CCDs. For this important contribution, Botti was presented the 2024 URA Honorary Tollestrup Award for Postdoctoral Research.

After years of preparation, the first neutrinos have been observed by the Short-Baseline Near Detector collaboration. The data SBND collects will expand our knowledge of how neutrinos interact with matter and will be used to search for evidence of new physics.

The CMS experiment is developing a new type of trigger that looks for anomalies — one-in-a-billion events that show something new or unexpected.

Edgar Marrufo Villalpando went from Mexico to the United States and from computational physics to astronomical instrumentation to pursue his childhood dream of becoming a physicist.

A massive milestone was celebrated on the international Long-Baseline Neutrino Facility/Deep Underground Neutrino Experiment that will tell us more about the universe and how it works.

The prototype of a novel particle detection system for the international Deep Underground Neutrino Experiment successfully recorded its first accelerator neutrinos, providing a first look at the ability of this innovative technology to handle large numbers of the mysterious particles’ interactions.

Pantaleo Raimondi’s illustrious career brought him to some of the world’s most prestigious particle physics institutions. In January, Raimondi continued this journey as he took over the role of project director for Fermilab’s newest, more powerful particle accelerator.

During a ceremony at ICHEP, Ngadiuba’s contributions to ultra-fast machine learning techniques and anomaly detection were recognized by the International Union of Pure and Applied Physics.