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This structure, which the researchers nicknamed Hyperion, is the largest and most massive structure to be found so early in the formation of the universe. The enormous mass of the proto-supercluster is calculated to be more than one million billion times that of the Sun. This titanic mass is similar to that of the largest structures observed in the Universe today, but finding such a massive object in the early universe surprised astronomers. Given its size so early in the history of the Universe, Hyperion is expected to evolve into something similar to the immense structures in the local Universe such as the superclusters making up the Sloan Great Wall or the Virgo Supercluster that contains our own galaxy, the Milky Way. ....
Science 2 months, 2 weeks As you d probably expect from the space agency, NASA has always been at the forefront of visual technology. Back in 2017, NASA astronauts Peggy Whitson and Jack Fischer live-streamed a broadcast from the International Space Station using 4K ultra-high-definition technology the next-gen standard for video for the first time. Using 4K makes for incredibly sharp image quality, with a horizontal screen resolution of up to 4,000 pixels (the previous 1080P high-def standard s horizontal pixel count was 1,920). The ISS high-def 4K camera has the ability to record up to 300 frames per second compare that to a high-end smartphone s 60 frames per second while the Hubble Telescope s primary mirror, which is what the Telescope uses to capture space imagery and beam it back down to Earth, can collect about 40,000 times more light than the human eye. Using these technologies, plus ultra-high-definition equipment on other spacecraft, NASA has ....
2021-01-17 15:00:00 UTC As you d probably expect from the space agency, NASA has always been at the forefront of visual technology. Back in 2017, NASA astronauts Peggy Whitson and Jack Fischer live-streamed a broadcast from the International Space Station using 4K ultra-high-definition technology â the next-gen standard for video â for the first time. Using 4K makes for incredibly sharp image quality, with a horizontal screen resolution of up to 4,000 pixels (the previous 1080P high-def standard s horizontal pixel count was 1,920). The ISS high-def 4K camera has the ability to record up to 300 frames per second â compare that to a high-end smartphone s 60 frames per second â while the Hubble Telescope s primary mirror, which is what the Telescope uses to capture space imagery and beam it back down to Earth, can collect about 40,000 times more light than the human eye. Using these technologies, plus ultra-high-definition equipment on other spa ....
Classifying Supernova Explosions Using Artificial Intelligence Image Credit: Shutterstock/NASA images Machine learning and classification could help astronomers better understand and classify the Universe’s most explosive events. Supernovae, massive cosmic explosions that represent the final death throes of stars, offer astronomers and cosmologists a vital tool for understanding the Universe. In particular, one type of these massive explosions Type Ia supernovae can be used to measure distances in the depths of space. Aside from this, learning more about supernovae can tell us how stars live and die and how elements are dispersed throughout galaxies. Currently, supernovae are studied by using their observed spectra the set of colors into which light from these objects can be split which contains characteristic ‘gaps’ that tell astronomers what light is being emitted and absorbed, and thus, which elements are present in the explosio ....
E-Mail IMAGE: Cassiopeia A, or Cas A, is a supernova remnant located 10,000 light years away in the constellation Cassiopeia, and is the remnant of a once massive star that died in. view more Credit: Credit: NASA/JPL-Caltech/STScI/CXC/SAO Cambridge, MA (December 17, 2020) Artificial intelligence is classifying real supernova explosions without the traditional use of spectra, thanks to a team of astronomers at the Center for Astrophysics | Harvard & Smithsonian. The complete data sets and resulting classifications are publicly available for open use. By training a machine learning model to categorize supernovae based on their visible characteristics, the astronomers were able to classify real data from the Pan-STARRS1 Medium Deep Survey for 2,315 supernovae with an accuracy rate of 82-percent without the use of spectra. ....