Do more with one link - claim and personalize your FREE link today! Effortlessly schedule, video meet, message chat, network, share materials, e-sign, etc – all in one spot. Collaborate, Nurture connections, Improve client services, Expedite deal closures, and more. 💼 Join FREE!!

Recent Comments

    cosmological simulations tagged posts

    New Insights on How Galaxies are Formed

    March 4, 2024, Categories  Astronomy/Space

    An image from the simulation
    Part of the simulated universe. In the center, a galaxy is born through gas that later transforms into stars. The whole process takes billions of years but is simulated in just a few months by supercomputers (Photo: The AGORA Collaboration)

    New insights on how galaxies are formed
    Astronomers can use supercomputers to simulate the formation of galaxies from the Big Bang 13.8 billion years ago to the present day. But there are a number of sources of error. An international research team, led by researchers in Lund, has spent a hundred million computer hours over eight years trying to correct these.

    The last decade has seen major advances in computer simulations that can realistically calculate how galaxies form...

    Read More

    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...

    Read More