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From Science News, August 4, 2022: A proposed experiment called Windchime, will try something new: It will search for dark matter using the only force it is guaranteed to feel — gravity. Fermilab physicist Dan Hooper chimes in on what this experiment can mean to the study of dark matter.
From Phys.org, August 3, 2022: Fermilab’s NOvA experiment reports analysis on oscillation data delivering some of the most accurate estimates to date describing neutrino oscillations and providing important hints on two important aspects of neutrino physics—the ordering of neutrino masses and the degree of charge-parity (CP) violation. These results set the stage for the next generation of “long-baseline” experiments, like Hyper-K and DUNE, which will dramatically boost our ability to probe elusive aspects of neutrino physics.
From Yahoo News, July 31, 2022: Elliott Tanner is a student from Minnesota who at age 13 completed his bachelor of science in physics and and is continuing on to a Ph.D. program. At the University of Minnesota, he is working on simulation and analysis for the Short-Baseline Neutrino Program at Fermilab and he aspires to be a theoretical physicist and a physics professor in the near future.
From the Universities Research Association: Michael Dolce, a physics doctoral candidate at Tufts University, was awarded a stipend as part of the URA’s Fall 2020 Visiting Scholars Program to compare data collected between NOvA’s Near and Far detector. While on the VSP grant, Dolce worked alongside his sponsor Dr. Louise Suter, a NOvA expert and Fermilab scientist who provided him a direct line to the laboratory and valuable guidance.
From Caltech, July 28, 2022: Maria Spiropulu has been named co-chair of the National Academies’ Elementary particle physics committee. She will spearhead a new study to set a vision for the field of particle physics in the next decade and beyond called Elementary Particle Physics: Progress and Promise, or EPP-2024.
From UK Research and Innovation, July 26, 2022: UK engineers have started producing what is perhaps the most critical link in a complex and powerful accelerator chain, the neutrino production target for LBNF at Fermilab. Together, STFC engineers and Fermilab have started an international collaboration known as RaDIATE in which the collaboration applies the expertise and facilities of nuclear materials scientists to the challenging environment.
From the Polsky Center, July 26, 2022: Fermilab’s quantum ASIC group leader Shaorui Li founded Lismikro, a new start-up dedicated to developing innovative low-power microchip controllers to solve the hardware bottleneck and unleash the full potential of quantum computers. Lismikro was awarded a $200,000 co-investment from the Polsky Center’s George Shultz Innovation Fund and is capable of scaling the control electronics beyond today’s 100 qubits for superconducting, ion trap, and photonic quantum processors.
From Physics World, July 26, 2022: Appointed by Robert Wilson in 1970, Helen Edwards was the accelerator scientist who oversaw the construction and implementation of the Tevatron, from planning right until the end of its scientific operation. Thirteen years later, the Tevatron was started to later discover the Bc meson in 1998, the top quark in 1995 and the tau neutrino in 2000.
From URA.org (University Research Association), June 30, 2022: Matthew Portman’s research on the Dark Energy Spectroscopic Instrument was accepted by the URA’s Visiting Scholars Program Review Panel and was awarded funding to work at Fermilab where he worked with Dr. Antonella Palmese, a former Visiting Scholar herself. Portman’s curiosity for gravitational waves and coding knowledge allowed him to merge both physics and computer science while at Fermilab.
From Radiology Business, July 21, 2022: Read more about the research collaboration between NYU Langone and SQMS in a pilot program which will pair two young researchers from each institution. The aim of the program is for researchers to develop algorithms used by future SQMS quantum computers to make accurate and rapid estimations of multiple tissue properties from MRI scans.