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Astronomers Create First 3D Map of an Exoplanet’s Atmosphere

“Eclipse mapping allows us to image exoplanets that we can’t see directly, because their host stars are too bright,” said Dr. Ryan Challener.


What can a 3D map of an exoplanet’s atmosphere teach astronomers about the planet’s formation, evolution, and composition? This is what a recent study published in Nature Astronomy hopes to address as a team of scientists presented a first-time 3D map of an exoplanet’s atmosphere based on temperature. This study has the potential to help scientists better understand the formation and evolution of exoplanet atmospheres while opening the doors for developing better methods of studying them.

For the study, the researchers used data obtained from NASA’s James Webb Space Telescope to develop a new method called 3D eclipse mapping on WASP-18b, which is located just over 400 light-years from Earth and whose radius is slightly more than Jupiter’s while have ten times its mass. WASP-18b is known as an “ultra-hot” Jupiter, as it orbits extremely close to its star at 0.02024 astronomical units (AU) while completing one orbit in only 0.9 days. For context, the planet Mercury orbits our Sun at 0.387 AU and completes one orbit in 88 days. WASP-18b is also tidally locked to its star like our Moon is tidally locked to Earth.

In the end, the researchers found that WASP-18b’s “dayside” features variations in temperature and chemical composition while also exhibiting a circular “hotspot” where the largest amount of starlight hits the atmosphere. Additionally, the team found this hotspot is surrounded by a colder “ring” closer to the limbs of the planet, or the outer edges where the shape of the planet is visible.

Imaging technique maps fleeting intermediates in hydrogen electrocatalysis

Electrocatalytic transformations not only require electrical energy—they also need a reliable middleman to spark the desired chemical reaction. Surface metal-hydrogen intermediates can effectively produce value-added chemicals and energy conversion, but, given their low concentration and fleeting lifespan, they are difficult to characterize or study in depth, especially at the nanoscale.

NVIDIA Now Working On Its Own Robotaxis

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Because why not?

NVIDIA has actually been involved in the robotaxi world for years, providing different hardware needs to various automakers who have been automating more and more driving. For example, I just noticed that four years ago I wrote about AutoX robotaxis using NVIDIA Drive. NVIDIA also put out a blog post highlighting that “Cruise, Zoox, DiDi, Oxbotica, Pony.ai and AutoX [were] developing level 4/5 systems on NVIDIA’s autonomous vehicle platform.” It also acquired DeepMap at that time. “DeepMap expected to extend NVIDIA mapping products, scale worldwide map operations and expand NVIDIA’s full-self driving expertise,” the company announced in 2021.

Like radar, a brain wave sweeps a cortical region to read out information held in working memory

Imagine you are a security guard in one of those casino heist movies where your ability to recognize an emerging crime will depend on whether you notice a subtle change on one of the many security monitors arrayed on your desk. That’s a challenge of visual working memory.

According to a new study by neuroscientists in The Picower Institute for Learning and Memory at MIT, the ability to quickly spot the anomaly could depend on a theta-frequency brain wave (3–6 Hz) that scans through a region of the cortex that maps your field of view.

The findings in animals, published in Neuron, help to explain how the brain implements visual working memory and why performance is both limited and variable.

Astronomers expose CO-dark molecular gas, previously invisible to telescopes

An international team of astronomers has created the first-ever large-scale maps of a mysterious form of matter, known as CO-dark molecular gas, in one of our Milky Way’s most active star-forming neighborhoods, Cygnus X. Their findings, using the Green Bank Telescope (GBT), are providing crucial new clues about how stars formed in the Milky Way.

Ultrasensitive sensor maps magnetization textures in rhombohedral graphene

Graphene, which is comprised of a single layer of carbon atoms arranged in a hexagonal lattice, is a widely used material known for its advantageous electrical and mechanical properties. When graphene is stacked in a so-called rhombohedral (i.e., ABC) pattern, new electronic features are known to emerge, including a tunable band structure and a non-trivial topology.

Due to these emerging properties, electrons in rhombohedral can behave as if they are being influenced by “hidden” magnetic fields, even if no is applied to them. While this interesting effect is well-documented, closely studying how electrons organize themselves in the material, with their spins and valley states pointing in different directions, has so far proved challenging.

Researchers at Weizmann Institute of Science recently set out to further examine the local magnetization textures in rhombohedral graphene, using a nanoscale superconducting quantum interference device (nano-SQUID). Their paper, published in Nature Physics, offers new insight into the physical processes governing the correlated states previously observed in the material.

World’s largest rays may be diving to extreme depths to build mental maps of vast oceans

Many marine species are no strangers to the depths of the oceans. Some animals, like certain sharks, tuna, or turtles, routinely perform extreme dives, whereas for other species, such behavior has been observed less frequently.

Now, an international team of researchers working in Peru, Indonesia, and New Zealand tagged oceanic manta rays—the largest species of ray—to learn more about the deep-diving behavior of these animals. They published their results in Frontiers in Marine Science.

“We show that, far offshore, oceanic manta rays are capable of diving to depths greater than 1,200 meters, far deeper than previously thought,” says first author Dr. Calvin Beale, who completed his Ph.D. at Murdoch University.

For the first time, scientists pinpoint brain cells linked to depression

Scientists identified two types of brain cells, neurons and microglia, that are altered in people with depression. Through genomic mapping of post-mortem brain tissue, they found major differences in gene activity affecting mood and inflammation. The findings reinforce that depression has a clear biological foundation and open new doors for treatment development.

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