The DarkSide-50 experiment at the Gran Sasso National Laboratory in Italy has completed its experimental run, the research collaboration announced today (Feb. 21). The experiment did not find any potential dark matter particles, but it did demonstrate that the technology could reject “false positive” signals from natural radioactivity or other sources. That will give researchers more confidence in data from the next, larger experiment, DarkSide-20k.
By Kat Kerlin
Did you ever pass an orchard with branches bursting with flowers and wonder how the trees “know” when to blossom or bear fruit all at the same time? Or perhaps you’ve walked through the woods, crunching loads of acorns underfoot one year but almost none the next year.
Scientists from the University of California, Davis, have given such synchronicity considerable thought. In 2015, they developed a computer model showing that one of the most famous models in statistical physics, the Ising model, could be used to understand why events occur at the same time over long distances.
January 31 will be an early morning show for Moon lovers. Starting about 2.51 a.m. Pacific Time will be a lunar eclipse, or “blood moon” as the Moon passes through Earth’s shadow and picks up a reddish tint. At the same time, the full Moon of Jan. 31 is also a “supermoon” when the Moon is relatively close to Earth and looks bigger and brighter, and a “blue Moon” because it is the second full Moon in one month.
In this month’s episode of Three Minute Egghead, UC Davis graduate student Gabrielle Black talks about collecting samples of ash from neighborhoods burned by last year’s northern California wildfires. The intense heat on a wide range of household items from insulation to electronics may have created new chemical pollutants. Thanks to modern analytic technology, Black plans to search for both known pollutants and new compounds, and compare them to the ashes of burned wild land.
Listen to the podcast here.
WHAT-NOW Survey (UC Davis Environmental Health Sciences Center)
by Greg Watry
What does the future of plant biology education and research look like? That’s the question on the mind of Siobhan Brady, associate professor of plant biology at UC Davis.
In a Plant Physiology commentary paper, Brady, along with 37 other plant biologists from around the world, call for universities to integrate more quantitative and computational techniques into biology-oriented academic curricula. Introducing these skills early, the group advises, will help prepare tomorrow’s plant biologists for the next era of genomics research.
By Aditi Risbud Bartl
Sometimes, one darn thing leads to another in a series of cascading failures. Understanding the weak points that lead to such cascades could help us make better investments in preventing them.
In the Nov. 17 issue of Science, Raissa D’Souza, professor of computer science and mechanical and aerospace engineering at UC Davis, wrote a perspective article about cascading failures that arise from the reorganization of flows on a network, such as in electric power grids, supply chains and transportation networks.
Using a newly developed technique, researchers from Japan, Germany and the U.S. have identified a key step in production of hydrogen gas by a bacterial enzyme. Understanding these reactions could be important in developing a clean-fuel economy powered by hydrogen.
The team studied hydrogenases – enzymes that catalyze production of hydrogen from two widely distributed organisms: Chlamydomonas reinhardtii, a single-cell algae and Desulfovibrio desulfuricans, a bacterium.
In both cases, their hydrogenase enzymes have an active site with two iron atoms.
If you’ve ever tried to untangle a pair of earbuds, you’ll understand how loops and cords can get twisted up. DNA can get tangled in the same way. In this episode of Three Minute Egghead, UC Davis biomathematician Mariel Vazquez talks about her work on the math of how DNA can be cut and reconnected. The math involved turns out to be involved in other fields as well — from fluid dynamics to solar flares.
By Becky Oskin
As the Juno space probe approached Jupiter in June last year, researchers with the Computational Infrastructure for Geodynamics’ Dynamo Working Group were starting to run simulations of the giant planet’s magnetic field on one of the world’s fastest computers. While the timing was coincidental, the supercomputer modeling should help scientists interpret the data from Juno, and vice versa.
Video: Simulation of Jupiter’s magnetic fields
“Even with Juno, we’re not going to be able to get a great physical sampling of the turbulence occurring in Jupiter’s deep interior,” Jonathan Aurnou, a geophysics professor at UCLA who leads the geodynamo working group, said in an article for Argonne National Laboratory news. “Only a supercomputer can help get us under that lid.”
The soup of fundamental particles called the quark-gluon plasma can swirl far faster than any known fluid – faster than the mightiest tornado or the superstorm that is Jupiter’s Great Red Spot.
The results, published Aug. 3 in the journal Nature, come from a new analysis of data from the Relativistic Heavy Ion Collider (RHIC) at Brookhaven National Laboratory.