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Category: mapping – Page 53

Tantalizing Evidence: Is the Nearest Star Cluster to the Sun Being Destroyed?

Data from ESA’s Gaia star mapping satellite have revealed tantalizing evidence that the nearest star cluster to the Sun is being disrupted by the gravitational influence of a massive but unseen structure in our galaxy.

If true, this might provide evidence for a suspected population of ‘dark matter sub-halos’. These invisible clouds of particles are thought to be relics from the formation of the Milky Way, and are now spread across the galaxy, making up an invisible substructure that exerts a noticeable gravitational influence on anything that drifts too close.

ESA Research Fellow Tereza Jerabkova and colleagues from ESA and the European Southern Observatory made the discovery while studying the way a nearby star cluster is merging into the general background of stars in our galaxy. This discovery was based on Gaia’s Early third Data Release (EDR3) and data from the second release.

New Metamaterial Structures for Studying the Oldest Light in the Universe

The cosmic microwave background, or CMB, is the electromagnetic echo of the Big Bang, radiation that has been traveling through space and time since the very first atoms were born 380000 years after our universe began. Mapping minuscule variations in the CMB tells scientists about how our universe came to be and what it’s made of.

To capture the ancient, cold light from the CMB, researchers use specialized telescopes equipped with ultrasensitive cameras for detecting millimeter-wavelength signals. The next-generation cameras will contain up to 100000 superconducting detectors. Fermilab scientist and University of Chicago Associate Professor Jeff McMahon and his team have developed a new type of metamaterials-based antireflection coating for the silicon lenses used in these cameras.

“There are at least half a dozen projects that would not be possible without these,” McMahon said.

Revive the map: 4D building reconstruction with machine learning

A research team from Skoltech and FBK (Italy) has presented a methodology to derive 4D building models using historical maps and machine learning. The implemented method relies on geometric, neighborhood, and categorical attributes in order to predict building heights. The method is useful for understanding urban phenomena and changes that contributed to defining our cities’ actual shape. The results were published in Applied Sciences.

Could the world’s deep seas become China’s mining frontier?

The researchers conducted a series of government-funded surveys from 2011 to 2020 and located potentially high-yield deposits of various essential industrial minerals from nickel to rare earths, according to a paper published in the Chinese-language Bulletin of Mineralogy, Petrology and Geochemistry last week.

Chinese researchers have spent the last decade mapping the globe’s ocean floors looking for potential mineral deposits.

Artificial Intelligence Finds Hidden Roads Threatening Amazon Ecosystems

(Inside Science) — It took years of painstaking work for Carlos Souza and his colleagues to map out every road in the Brazilian Amazon biome. Official maps of the 4.2 million-square-kilometer region only show roads built by federal and local governments. But by carefully tracing lines on satellite images, the researchers concluded in 2016 that the true length of all the roads combined was nearly 13 times higher.

“When we don’t have a good understanding of how much roadless areas we have on the landscape, we probably will misguide any conservation plans for that territory,” said Souza, a geographer at a Brazil-based environmental nonprofit organization called Imazon.

Now, Imazon researchers have built an artificial intelligence algorithm to find such roads automatically. Currently, the algorithm is reaching about 70% accuracy, which rises to 87%-90% with some additional automated processing, said Souza. Analysts then confirm potential roads by examining the satellite images. Souza presented the research last month at a virtual meeting of the American Geophysical Union.

New Brain Implant Helps Monkeys See Without Using Their Eyes

A pair of monkeys were able to “see” and recognize individual letter shapes generated by arrays of electrodes implanted in their brains – without using their eyes. Previously, sight-restoring implants were placed in the retina, but these new implants were placed in the visual cortex. They achieved the highest resolution yet for such technology.

The research took place at the Netherlands Institute for Neuroscience (NIN). The scientists wanted to develop a way to restore sight for people whose optic nerves were damaged and couldn’t benefit from retina implants. The team, led by Pieter Roelfsema, created a brain implant made of needle-like electrodes 1.5 millimeters in length. They placed it on the animals’ visual cortex, partially restoring its sight.

The visual cortex is like a cinema screen in our skull, with each area on its surface mapping to the visual field. Placing a patch of electrodes on the surface that activate like pixels will make a person “see” whatever points get activated. For example, if an L-shaped pattern of electrodes in contact with the visual cortex is activated, they will see a pixelated L.

Planetary Scientists Have Created a Map of Mars’ Entire Ancient River Systems

Navigating and mapping rivers has long been a central component in human exploration. Whether it was Powell exploring the Colorado’s canyons or Pizarro using the Amazon to try to find El Dorado, rivers, and our exploration of them, have been extremely important. Now, scientists have mapped out an entirely new, unique river basin. This one happens to be on an entirely different planet, and dried up billions of years ago.

Three to four billion years ago, Mars did in fact have running rivers of water. Evidence for these rivers has shown up in satellite imagery and rover samples for almost as long as we have been exploring the red planet. Since Mars has little tectonics or erosion, that evidence has remained somewhat intact until the present day.

Recently, a team of scientists developed a tool to better examine those features. They managed to stitch together an 8-trillion pixel image of the entire Martian surface. Each pixel in this incredibly detailed image represents about a 5–6 square meter area. Unfortunately, it also doesn’t seem to available to the general public just year. Whether it is or not it is sure to prove useful for a variety of research projects regarding the environment of Mars. One of the first ones, which was recently published a paper in Geology was a map of the red planet’s river “ridges”.