A new and potentially improved measurement of a proton’s charge radius brings scientists closer to an answer. But the issue is still unresolved.
Wherever you have fluid, there you can also find vortex rings.
Now, scientists have found vortex rings somewhere fascinating — inside a tiny pillar made of a magnetic material, the gadolinium-cobalt intermetallic compound GdCo2.
If you’ve seen smoke rings, or bubble rings under water, you’ve seen vortex rings: doughnut-shaped vortices that form when fluid flows back on itself after being forced through a hole.
Circa 1997
Berkeley — An ultrasensitive, superfluid gyroscope developed by physicists at UC Berkeley has the potential to surpass today’s most sensitive devices for measuring absolute rotation or spin.
In a paper in this week’s issue of Nature, physics professor Richard Packard and his colleagues, graduate students Keith Schwab and Niels Bruckner, report a proof-of-principle demonstration of the new device.
Continue reading “04.10.97 Develop Ultrasensitive Gyroscope Based on Superfluid Helium” »
“I myself believe that there will one day be time travel because when we find that something isn’t forbidden by the over-arching laws of physics we usually eventually find a technological way of doing it.” –David Deutsch
Time travel may still be in the realm of science fiction, inspiring the plots of countless books, mo v ies and Star Trek episodes, but not out of the realm of possibility. While basic physics allows for the possibility of moving through time, certain practical concerns and paradoxes seem to stand in the way. The “Fractal Soliton of Improbability,” postulating that any moment is unique and only happens once in the lifetime of a universe, or “Grandfather Paradox,” in which a traveler jumps back in time, kills his grandfather and therefore prevents his own existence, are the most salient paradoxes arising in relation to time travel.
Astronomers have to be extra clever to map out the invisible dark matter in the universe. Recently, a team of researchers have improved an existing technique, making it up to ten times better at seeing in the dark.
Dark matter is frustratingly difficult to measure. It’s completely invisible: it simply doesn’t interact with light (or normal matter) in any way, shape, or form. But we know that dark matter exists because of its gravitational influence on everything around it – including the normal matter that makes up stars and galaxies.
As an example of this, take a look at gravitational lensing. A massive object, whether made of dark or normal matter, will bend the path of any light that passes close by. It’s usually an incredibly tiny effect, but definitely measurable. We can see lensing of starlight around the sun, for example, which is how we knew that Einstein’s theory of general relativity must be correct.
Distant light from the big bang is twisted as it travels to us. This could mean dark matter is more exotic than we thought.
The oldest light in the universe is that of the cosmic microwave background (CMB). This remnant glow from the big bang has traveled for more than 13 billion years. Along the way, it has picked up a few tales about the history and evolution of the cosmos. We just need to listen to what it has to say.
One of the ways the CMB tells a story is through its polarization. If you think of light as an oscillating wave, then this wave motion can have different orientations, the orientation of a light wave’s oscillation is known as its polarization. Often, light is a random jumble of orientations, making it unpolarized, but the light from the CMB is light that has scattered off the hot gas of the early universe and has an orientation known as E-mode polarization.
Continue reading “Polarized light from the cosmic background hints at new physics” »
Excerpts from the Red Folder.
If we had a “Physics paper title of the year award”, the 2020 winner would surely have to be “The arches of chaos in the solar system”, which was published this week in Science Advances by Nataša Todorović, Di Wu and Aaron Rosengren. In their paper, the trio “reveal a notable and hitherto undetected ornamental structure of manifolds, connected in a series of arches that spread from the asteroid belt to Uranus and beyond”. These manifolds are structures that arise from the gravitational interactions between the Sun and planets. They play an important role in spacecraft navigation and also explain the erratic nature of comets.
The paper is beautifully written, describing the manifolds as “a true celestial autobahn,” and going on to say that they “enable ‘Le Petit Prince’ grand tour of the solar system”. And if that has not piqued your curiosity, the figures are wonderful as well – with the above image being “Jovian-minimum-distance maps for the Greek and Trojan orbital configurations”.
Computational molecular physics (CMP) aims to leverage the laws of physics to understand not just static structures but also the motions and actions of biomolecules. Applying CMP to proteins has required either simplifying the physical models or running simulations that are shorter than the time scale of the biological activity. Brini et al. reviewed advances that are moving CMP to time scales that match biological events such as protein folding, ligand unbinding, and some conformational changes. They also highlight the role of blind competitions in driving the field forward. New methods such as deep learning approaches are likely to make CMP an increasingly powerful tool in describing proteins in action.
Science, this issue p.
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The biggest computer chip in the world is so fast and powerful it can predict future actions “faster than the laws of physics produce the same result.”
That’s according to a post by Cerebras Systems, a startup company that made the claim at the online SC20 supercomputing conference this week.
Working with the U.S. Department of Energy’s National Energy Technology Laboratory, Cerebras designed what it calls “the world’s most powerful AI compute system.” It created a massive chip 8.5 inch-square chip, the Cerebras CS-1, housed in a refrigerator-sized computer in an effort to improve on deep-learning training models.
The newly measured rate of a key nuclear fusion process that forged the first atomic nuclei matches the picture of the universe 380,000 years later.
