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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.

What do particle accelerators and craggy outcrops have in common? Both have Tor Raubenheimer trotting the globe. Thanks to both his work at SLAC National Accelerator Laboratory and his passion for rock climbing, he has gotten to know people and places on several continents.

From CNN, June 12, 2019: Fermilab scientist Don Lincoln writes about a moon mass mystery: In a recent study, scientists claim they have discovered a huge and unexpected mass buried deep underneath the moon’s surface.

From Back Reaction, June 13, 2019: The so-called muon g-2 anomaly is a tension between experimental measurement and theoretical prediction. The most recent experimental data comes from a 2006 experiment at Brookhaven National Lab. A new experiment is now following up on the 2006 result: The Muon g-2 experiment at Fermilab.

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.

The Universities Research Association recognizes Fermilab scientist Laura Fields for her contributions to the field of accelerator-based neutrino physics. She co-leads the MINERvA experiment, which is making measurements necessary for tuning models of neutrino interactions used in ongoing and future neutrino experiments, and helped design a new focusing system for Fermilab’s LBNF neutrino beam.

A Ph.D. student at the Illinois Institute of Technology conducting his research at Fermilab, Bafia is currently researching a method to draw maximum performance from acceleration cavities. The method, called nitrogen doping, increases superconducting radio-frequency cavity efficiency and boosts beams to higher energies over shorter distances. His work earned him the Best Student Poster Prize at the 2019 International Particle Accelerator Conference.