Author Archive

Portrait of a man with dark hair and a short beard and mustache wearing glasses, a brown corduroy jacket, a red and blue plaid shirt. His hands are interlaced on the table in front of him. In the lower left corner, the keyboard of a laptop peeks out. He is in front of a starry background.

What if human analysis, combined with machine learning, could advance the study of the universe? The U.S. Department of Energy awarded Fermilab scientist Brian Nord a $2.5 million Early Career Research Award to explore that possibility. Nord has envisioned a new hybrid data-analysis method to undertake the project. It integrates the strengths of artificial intelligence and interpretations of statistics in ways that could potentially advance the studies of cosmology.

An illustration of a woman with dark hair head in hand, falling asleep at a desk in front of a computer monitor. A desk lamp signs on her. Her room has two walls missing and floats in the nightsky in a cloud.

Four physicists, including Fermilab’s Claire Lee, share their experiences dealing with major setbacks, trauma, mental health issues and toxic work environments.

Photo of a dome-shaped building, likely an observatory, atop a mountain, which gold mist surrounds. Blue sky and silhouette of birds above.

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.

Fast electronics and artificial intelligence are helping physicists working on experiments with massive amounts of data, such as the CMS experiment, decide which data to keep and which to throw away.