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Get to know 10 early-career theorists

Right now could be considered one of the best — and most uncertain — times in theoretical physics. That’s what Symmetry heard in interviews with 10 junior faculty in the field. They talk about what keeps them up at night, their favorite places to think and how they explain their jobs to nonscientists.

Three sky surveys completed in preparation for Dark Energy Spectroscopic Instrument

It took three sky surveys to prepare for a new project that will create the largest 3-D map of the universe’s galaxies and glean new insights about the universe’s accelerating expansion. This Dark Energy Spectroscopic Instrument project will explore this expansion, driven by a mysterious property known as dark energy, in great detail. The surveys, which wrapped up in March, have amassed images of more than 1 billion galaxies and are essential in selecting celestial objects to target with DESI, now under construction in Arizona.

The future of particle accelerators may be autonomous

Particle accelerators are some of the most complicated machines in science. In today’s more autonomous era of self-driving cars and vacuuming robots, efforts are going strong to automate different aspects of the operation of accelerators, and the next generation of particle accelerators promises to be more automated than ever. Scientists are working on ways to run them with a diminishing amount of direction from humans.

One minute with Jean Reising, applications development and systems analyst

Jean Reising works with Fermilab computing and helps people with content management systems, including websites and digital signage. She is active in Fermilab’s Spectrum Group, which builds awareness and provides resources for the LGBTQ+ community. Reising also has a degree in culinary arts. When she’s not working, she can be found cooking or reading about cooking.

Jacob Todd receives URA Graduate Thesis Award for work on neutrino data analysis

In his doctoral thesis, Todd details a method for data analysis in a way that minimizes a source of bias in some particle physics experiments. By analyzing information from two distant detectors simultaneously rather than sequentially, he incorporated the lack of precision knowledge in both detectors. A University of Cincinnati graduate, Todd used data from Fermilab’s MINOS and MINOS+ experiments, and his analysis can be applied in other neutrino research as well.