Applying mathematics to detect chemical weapons, hidden explosives or other threats is the goal of an ongoing project at the UC Davis Department of Mathematics, supported by grants from the National Science Foundation.
Blind deconvolution is a mathematical method to clarify a blurred image without knowledge of the original image, or how it was blurred. Top, original image; bottom, blurred image after blind deconvolution (Original image by Steve Byland).
Threat detection involves math at a range of levels, said Professor Thomas Strohmer, who leads the project. It can include quickly processing large amounts of data, coordinating multiple sensors, or extracting clarity from background noise.
Full post: NSF Grant Funds Math For National Security
(455 words, 1 image, estimated 1:49 mins reading time)
Hobby 3-D Printing Leads to New Insights into Moving Sofa Problem
By Becky Oskin
Most of us have struggled with the mathematical puzzle known as the “moving sofa problem.” It poses a deceptively simple question: What is the largest sofa that can pivot around an L-shaped hallway corner?
A mover will tell you to just stand the sofa on end. But imagine the sofa is impossible to lift, squish or tilt. Although it still seems easy to solve, the moving sofa problem has stymied math sleuths for more than 50 years. That’s because the challenge for mathematicians is both finding the largest sofa and proving it to be the largest. Without a proof, it’s always possible someone will come along with a better solution.
By Becky Oskin
Cyanobacteria, one of Earth’s oldest life forms, offer a promising new source of petroleum-free fuels and chemicals. However, economies of scale currently make it challenging for these tiny creatures to compete with fossil fuels. Now, scientists at UC Davis are closer to meeting these challenges with a new advance that improves the production and growth rate of cyanobacteria.
UC Davis chemist Shota Atsumi is engineering these cyanobacteria to produce biofuels. (Photo by T.J. Ushing)
Visiting scholar Masahiro Kanno, graduate student Austin Carroll and chemistry professor Shota Atsumi introduced new genetic pathways into cyanobacteria that could help make microbe-based chemical production systems smaller and easier to operate.
Compounds Could Be Basis For Devices That Turn Waste Heat Into Electricity
Cage-like compounds called clathrates could be used for harvesting waste heat and turning it into electricity. UC Davis chemists just discovered a whole new class of clathrates, potentially opening new ways to make and apply these materials.
UC Davis chemists discovered a new class of clathrates that break the four-bond rule. The discovery was featured on the cover of the journal Angewandte Chemie (Wiley)
SNO+ neutrino detector being filled with ultrapure water. The detector will search for neutrinos from distant supernovae and nuclear reactors. Credit: SNO+ Collaboration
Not a still from a science fiction movie, but the SNO+ neutrino detector being filled with very pure water prior to starting operations. Located over a mile underground in a mine in Ontario, Canada, the SNO+ detector consists of an acrylic sphere 12 meters in diameter filled with 800 tonnes of scintillation fluid, floating in a bath of ultrapure water surrounded by 10,000 photomultiplier tubes that will detect flashes of light from passing neutrinos.
Full post: SNO+ Neutrino Detector Gets Ready For Run
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In the latest episode of the Three Minute Egghead podcast, UC Davis astronomer Marusa Bradac explains why she’s looking towards the beginning of time to find the furthest, faintest object in the universe, and how a gigantic lens in the sky can help.
Read the news release about this story here.
For more Three Minute Egghead podcasts, see our Soundcloud playlist here.
Permanent link to this post
(63 words, estimated 15 secs reading time)
The 2016 Nobel Prize for Physics will be shared by David Thouless, F. Duncan Haldane and J. Michael Kosterlitz for their work on peculiar states of matter under extreme conditions. The three used advanced mathematics — specifically topology, the study of shapes — to build theoretical models of matter. Their work has practical implications for understanding superconductors, superfluids and thin magnetic films, and ultimately for new types of devices and technologies.
“This year’s Laureates opened the door on an unknown world where matter can assume strange states,” according to the Nobel Prize citation.
With gold medals in three sprinting events at three Olympic Games, Usain Bolt has written himself into the record books as arguably the fastest human of all time. But just how fast is the Jamaican sprinter?
Three mathematicians, Sebastian Schreiber of UC Davis, Wayne Getz of UC Berkeley and Karl Smith of Santa Rosa Junior College, show how to calculate Bolt’s maximum velocity in the 100 meters at the 2008 Beijing Olympics in their 2014 textbook, “Calculus for the Life Sciences.”
This plot shows Usain Bolt’s velocity measured at 10 meter intervals.
Full post: Calculating just how fast Usain Bolt runs
(331 words, 3 images, estimated 1:19 mins reading time)
UC Davis graduate student Jeremy Mock inspecting the LUX detector before the chamber was filled with water. Credit: Matt Kapust/Sanford Lab
The Large Underground Xenon (LUX) dark matter experiment, which operates beneath a mile of rock at the Sanford Underground Research Facility in the Black Hills of South Dakota, has completed its silent search for the missing matter of the universe.
The experiment did not find a dark matter particle, but it did eliminate a wide swath of mass ranges where a Weakly Interacting Massive Particle, or WIMP, the leading theoretical candidate for dark matter, might exist, team members said.
UC Davis entomologist Christian Nansen trained some high-tech analysis on coffee beans, showing that brands were not consistent in content. Photo: Kathy Garvey
By Kathy Keatley Garvey
If your particular brand of coffee doesn’t seem to taste the same from week to week or month to month, you may be right. And it’s not you, it’s the coffee beans.
Agricultural entomologist Christian Nansen of the UC Davis Department of Entomology and Nematology and four colleagues analyzed 15 brands of roasted coffee beans, purchased at an area supermarket on two dates about six months apart, and using hyperspectral imaging technology, found “they were all over the board.”