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    galaxy evolution tagged posts

    How Galaxies Die: New insights into the Quenching of Star Formation

    July 18, 2020, Categories  Astronomy/Space

    galaxies-graph-500.jpg
    A new theory explains how black holes grow as a function of galaxy mass and eventually quench star formation in their host galaxies. The images on this graph, taken by the Sloan Digital Sky Survey, are of nearby galaxies at the present era chosen to represent galaxy evolution. The graph shows how the evolution of small, dense galaxies differs from that of larger, more diffuse galaxies. The denser galaxies have larger black holes for their mass and therefore quench sooner, at a lower mass, whereas the more diffuse galaxies have smaller black holes for their mass and must grow more before quenching occurs. See larger image. (Credit: Sandra Faber/Sofia Quiros/SDSS)

    Astronomers studying galaxy evolution have long struggled to understand what causes star formation to shut down in massive ga...

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    Galaxy Blazes with New Stars born from close encounter

    May 19, 2019, Categories  Astronomy/Space

    New image of irregular galaxy NGC 4485 captured by Hubble’s Wide Field Camera 3 (WFC3) and Advanced Camera for Surveys (ACS).
    Credit: NASA and ESA; Acknowledgment: T. Roberts (Durham University, UK), D. Calzetti (University of Massachusetts) and the LEGUS Team, R. Tully (University of Hawaii), and R. Chandar (University of Toledo)

    The irregular galaxy NGC 4485 shows all the signs of having been involved in a hit-and-run accident with a bypassing galaxy. Rather than destroying the galaxy, the chance encounter is spawning a new generation of stars, and presumably planets.

    The right side of the galaxy is ablaze with star formation, shown in the plethora of young blue stars and star-incubating pinkish nebulas. The left side, however, looks intact...

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    Lightening up Dark Galaxies

    May 24, 2018, Categories  Astronomy/Space

    One of the new dark-galaxy candidates, identified through a combination of spectral information (left) and images reflecting the emission of gas (middle) and stars (right). The position of the dark-galaxy candidate is marked by the red circle. Credit: R. A. Marino / MUSE

    One of the new dark-galaxy candidates, identified through a combination of spectral information (left) and images reflecting the emission of gas (middle) and stars (right). The position of the dark-galaxy candidate is marked by the red circle. Credit: R. A. Marino / MUSE

    The identification of at least six candidates for dark galaxies could help filling an important gap in our understanding of galaxy evolution. Dark galaxies have a few (if any) stars in them and are, for that reason, notoriously difficult to detect with current instruments.

    Despite substantial progress over the past half a century in understanding of how galaxies form, important open questions remain regarding how precisely the diffuse gas known as the ‘intergalactic medium’ is converted into stars...

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

    April 23, 2018, Categories  Astronomy/Space

    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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