Lifeboat Foundation

Astronomers have used a cloud-based technique pioneered at the University of Washington to identify and track asteroids in bunches of a hundred or more. Their achievement could dramatically accelerate the quest to find potentially threatening space rocks.

The technique makes use of a cloud-based, open-source analysis platform known as Asteroid Discovery Analysis and Mapping, or ADAM; plus a recently developed algorithm called Tracklet-less Heliocentric Orbit Recovery, or THOR. The THOR algorithm was created by Joachim Moeyens, an Asteroid Institute Fellow at UW; and Mario Juric, director of UW’s DiRAC Institute.

Continue reading “Astronomers demonstrate how using the cloud can rev up the rate of discovery for asteroids” »

An image captured by the Hubble Space Telescope and shared by NASA this week shows the most stunning of spiral galaxies: A Grand Design Spiral called NGC 3,631, given that designation because of its clear, prominent arms and highly organized spiral structure. This ideal spiral galaxy is located 53 million light-years from Earth in the constellation of Ursa Major and is seen face-on from Earth to give a perfect view of its pleasing structure.

The image was created using data from two of Hubble’s instruments, the Wide Field Camera 3 and Advanced Camera for Surveys. The Advanced Camera for Surveys is a Hubble camera used primarily for capturing data in the visible light range, which is the same range seen by the human eye. It was installed onto Hubble in 2002. The Wide Field Camera 3 is a newer instrument, installed in 2009 as an upgrade to the older Wide Field and Planetary Camera 2. The Wide Field Camera 3 is used to capture ultraviolet and infrared light as well as to detect visible light.

This image combines both visible light and infrared data. The blue shades represent light which is in the blue visible light wavelength, while the orange represents the infrared data. Looking in the infrared is helpful to look through clouds of dust that are opaque in visible light, and it also maps out the distribution of heat as warm material gives off infrared light.

What do you do when a tried-and-true method for determining the sun’s chemical composition appears to be at odds with an innovative, precise technique for mapping the sun’s inner structure? That was the situation facing astronomers studying the sun—until new calculations that have now been published by Ekaterina Magg, Maria Bergemann and colleagues, and that resolve the apparent contradiction.

The decade-long solar abundance crisis is the conflict between the internal structure of the sun as determined from solar oscillations (helioseismology) and the structure derived from the fundamental theory of stellar evolution, which in turn relies on measurements of the present-day sun’s chemical composition. The new calculations of the physics of the sun’s atmosphere yield updated results for abundances of different chemical elements, which resolve the conflict. Notably, the sun contains more oxygen, silicon and neon than previously thought. The methods employed also promise considerably more accurate estimates of the chemical compositions of stars in general.

According to complexity economist Brian Arthur and physicist Geoffrey West human social systems function optimally as complex adaptive systems – or quantum systems.

The newly developed field of quantum leadership maps the human, conscious equivalents onto the 12 systems that define complex adaptive systems or quantum organisations. These are: self-awareness; vision and value led; spontaneity; holism; field-independence; humility; ability to reframe; asking fundamental questions; celebration of diversity; positive use of adversity; compassion; a sense of vocation (purpose).

Quantum leadership is essentially a new management approach that integrates the most effective attributes of traditional leadership with recent advances in both quantum physics and neuroscience. It is a model that allows for greater responsiveness. It draws on our innate ability to recognise, adapt and respond to uncertainty and complexity.

The hippocampus is a region of the brain known to the associated with memory, learning, spatial navigation and emotion. In 1971, neuroscientists discovered that the hippocampus influences spatial navigation through the formation of a series of “spatial codes,” which encode characteristics related to an animal or human’s surrounding environment, including sensory cues and where rewards are located.

These codes are encoded by a type of neurons known as “place cells,” which were found to become active when an animal is entering a specific place or location in its environment. Together, place cells in the hippocampus form representations of the places that animals are navigating, also known as cognitive maps.

Since place cells were first uncovered, numerous teams worldwide have been conducting studies aimed at better understanding their function and how they encode spatial information. While there is now a large body of research focusing on place cells, some of the factors influencing their functioning are still poorly understood.

Google Maps to add “immersive view”

Google Maps, the world’s most-downloaded travel app, will soon become more immersive and intuitive thanks to a major upgrade.

The online tool is used by over 1 billion people every month. It already includes satellite imagery, aerial photography, street maps, 360° interactive panoramic views of streets, real-time traffic conditions, and route planning. At its annual I/O developer conference held in California, Google announced key features being added to further enhance its appearance and functionality.

Google’s new Immersive View is a leap forward for how data is displayed in Google Maps.

The robotic explorer GLIMPSE, created at ETH Zurich and the University of Zurich, has made it into the final round of a competition for prospecting resources in space. The long-term goal is for the robot to explore the south polar region of the moon.

The south polar region of the moon is believed to contain many resources that would be useful for lunar base operations, such as metals, water in the form of ice, and oxygen stored in rocks. But to find them, an explorer robot that can withstand the extreme conditions of this part of the moon is needed. Numerous craters make moving around difficult, while the low angle of the sunlight and thick layers of dust impede the use of light-based measuring instruments. Strong fluctuations in temperature pose a further challenge.

The European Space Agency (ESA) and the European Space Resources Innovation Center ESRIC called on European and Canadian engineering teams to develop robots and tools capable of mapping and prospecting the shadowy south polar region of the moon, between the Shoemaker and the Faustini craters. To do this, the researchers had to adapt terrestrial exploration technologies for the harsh conditions on the moon.

If you look at Amtrak’s route map, you’ll notice that the service isn’t really geared toward serving rural areas and smaller cities. Sure, they do stop at some smaller cities along existing rail routes, but those aren’t the point as much as a place to get fuel and let people get onto connecting services. On top of that issue, Amtrak largely uses the same tracks as freight trains, and the freight lines have been placed according to freight needs and not the needs of potential passengers. In one particularly weird case, it completely skips the Phoenix metro area, with the nearest station in Maricopa.

But I’m getting off topic a bit with that last one. The main point to gather from the map is that it’s designed mostly to connect larger cities with other large cities. Going from New York to Los Angeles isn’t a big deal. Going from El Paso to Albuquerque, well, even Amtrak tells you on the map that you’re getting on a Greyhound. Public transit really isn’t a priority in the United States, though. So maybe this isn’t a fair comparison. Let’s look at some maps in other countries for a minute: