New accelerator magnets are undergoing a rigorous training program to prepare them for the extreme conditions inside the upgraded Large Hadron Collider.
Author Archive
Five students have received the prestigious U.S. Department of Energy Office of Science Graduate Student Research Award to conduct their research at Fermi National Accelerator Laboratory.
From CERN Courier, September 27, 2021: Fermilab’s Proton Improvement Plan II (PIP-II) is relying on international collaborations to shape the future of accelerator-based particle physics in the U.S. Lia Merminga and Eduard Pozdeyev provide an insider take.
Sloan Digital Sky Survey received the 2021 ACM SIGMOD Systems Award for its “early and influential demonstration of the power of data science to transform a scientific domain.” The award recognized the contributions of Fermilab’s Bill Boroski, Steve Kent and Brian Yanny, as well as several others, for work done from 2000 to 2008 on the database systems developed to distribute SDSS data.
The Society for Advancement of Chicanos/Hispanics and Native Americans in Science helps students and professionals find community.
The U.S. Department of Energy recently announced $13.7 million in funding for nine research projects that will advance the state of the art in computer science and applied mathematics. One of the recipients of this funding, Fermilab scientist Nhan Tran will lead a project to explore methods for programming custom hardware accelerators for streaming compression.
Fermilab’s Pedro Machado has won the 2021 Universities Research Association Early Career Award for his theoretical work on neutrino science that helps experimentalists with novel search strategies and scientific questions worth exploring.
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.
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.
The U.S. Department of Energy awarded Farah Fahim an Early Career Research Award to investigate how deploying neural networks and machine learning on a particle detector can allow data processing at source. Her work could make data processing at detectors more efficient, improving fundamental research at physics facilities like the LHC at CERN.