Category Astronomy/Space

Milky Way’s Supermassive Black Hole may have ‘Unseen’ Siblings

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Wandering Supermassive Black Holes in Milky-Way-mass Halos. The Astrophysical Journal, 2018; 857 (2): L22 DOI: 10.3847/2041-8213/aabc0a

Astronomers are beginning to understand what happens when black holes get the urge to roam the Milky Way. Typically, a supermassive black hole (SMBH) exists at the core of a massive galaxy. But sometimes SMBHs may “wander” throughout their host galaxy, remaining far from the center in regions such as the stellar halo, a nearly spherical area of stars and gas that surrounds the main section of the galaxy. Astronomers theorize that this phenomenon often occurs as a result of mergers between galaxies in an expanding universe. A smaller galaxy will join with a larger, main galaxy, depositing its own, central SMBH onto a wide orbit within the new host.

In a...

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Uncovering the Secret Law of the Evolution of Galaxy Clusters

(Left) Galaxy cluster MACS J1206 observed with the Subaru Telescope. (Right) Magnified image of the left by the Hubble Space Telescope. Credit: NASA/ESA, Umetsu et al. 2012, ApJ, 755, 56

(Left) Galaxy cluster MACS J1206 observed with the Subaru Telescope. (Right) Magnified image of the left by the Hubble Space Telescope. Credit: NASA/ESA, Umetsu et al. 2012, ApJ, 755, 56

Analysis of gravitational lensing data by an international research team reveals that the evolution of galaxy clusters is dictated by a surprisingly simple law, which clearly shows that they are still growing. Using observational data from the Hubble Space Telescope and the Subaru Telescope, the size and mass of galaxy clusters have precisely been measured. The newfound law will serve as a tool to clarify the evolutionary history of clusters and the universe.

Galaxy clusters are the largest celestial body in the Universe...

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Meteorite Diamonds tell of a Lost Planet

Meteorite sample. Credit: © 2018 EPFL / Hillary Sanctuary

Meteorite sample. Credit: © 2018 EPFL / Hillary Sanctuary

Using transmission electron microscopy, EPFL scientists have examined a slice from a meteorite that contains large diamonds formed at high pressure. The study shows that the parent body from which the meteorite came was a planetary embryo of a size between Mercury and Mars. The discovery is published in Nature Communications.

On October 7, 2008, an asteroid entered Earth’s atmospahere and exploded 37 km above the Nubian Desert in Sudan. The asteroid, now known as “2008 TC3,” was just over four meters in diameter. When it exploded in the atmosphere, it scattered multiple fragments across the desert. Only fifty fragments, ranging in size from 1-10 cm, were collected, for a total mass of 4.5 kg...

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Face Recognition for Galaxies: Artificial Intelligence brings new tools to astronomy

A 'deep learning' algorithm trained on images from cosmological simulations is surprisingly successful at classifying real galaxies in Hubble images. Top row: High-resolution images from a computer simulation of a young galaxy going through three phases of evolution (before, during, and after the "blue nugget" phase). Middle row: The same images from the computer simulation of a young galaxy in three phases of evolution as it would appear if observed by the Hubble Space Telescope. Bottom row: Hubble Space Telescope images of distant young galaxies classified by a deep learning algorithm trained to recognize the three phases of galaxy evolution. The width of each image is approximately 100,000 light years. Credit: Image credits for top two rows: Greg Snyder, Space Telescope Science Institute, and Marc Huertas-Company, Paris Observatory. For bottom row: The HST images are from the Cosmic Assembly Near-infrared Deep Extragalactic Legacy Survey (CANDELS).

A ‘deep learning’ algorithm trained on images from cosmological simulations is surprisingly successful at classifying real galaxies in Hubble images. Top row: High-resolution images from a computer simulation of a young galaxy going through three phases of evolution (before, during, and after the “blue nugget” phase). Middle row: The same images from the computer simulation of a young galaxy in three phases of evolution as it would appear if observed by the Hubble Space Telescope. Bottom row: Hubble Space Telescope images of distant young galaxies classified by a deep learning algorithm trained to recognize the three phases of galaxy evolution. The width of each image is approximately 100,000 light years...

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