This week new physics tools have been developed to help out biologists, CERN scientists announced that they are planning a new particle accelerator and quantum scientist challenged Heisenberg’s principle. Here’s a short summary of these news, plus some links for extra reading. To receive these news straight to your email, visit this link.
Physicists from The University of Queensland have performed joint measurements on single light particles with accuracy never seen before, and developed methods that could help improve the most sensitive quantum sensors. Martin Ringbauer, PhD student at UQ’s School of Mathematics and Physics and lead author of the experimental study, said the findings help answer long-standing open questions in quantum mechanics. “The uncertainty principle is one of the central features of quantum mechanics, which has been misunderstood for the longest time,” Mr Ringbauer said. “This experimental work settles a decade-long debate—’Heisenberg-like’ relations do not hold for joint measurements.”
CERN scientists recently announced their plans of a new particle accelerator that would be 7 times more powerful than the facility, which was used to discover the Higgs boson. A feasibility study will launch next week for a so-called Future Circular Collider (FCC) with a circumference of 80 to 100 kilometres (50 to 60 miles). The FCC would probably be located in the same area and may incorporate the LHC tunnel in its infrastructure, CERN said in a statement. The studies will examine the feasibility and costs and produce conceptual designs by 2018/2019, when the European-wide strategy on particle physics research is set to be updated.
A Lawrence Livermore National Laboratory physicist with his colleagues have found a new application for mathematics typically used in physics to help solve problems in biology. In particular, these scientists used statistical mechanics and mathematical modelling to solve problems in epigenetic memory.
“The work highlights the interdisciplinary nature of modern molecular biology, in particular, how the tools and models from mathematics and physics can help clarify problems in biology,” said Ken Kim, an LLNL physicist. To find out more about about the teams work, use the link above.