dark energy

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More precise understanding of dark energy achieved using AI

    A research team as part of the the Dark Energy Survey collaboration used artificial intelligence to research dark energy more precisely from a map of dark and visible matter in the Universe covering the last seven billion years. The new AI technique allowed researchers to use much more information from the maps than would be possible with the previous method.

    Dark Energy Survey publishes definitive results from largest, deepest, most uniform supernova sample

      The culmination of 25 years of research by astrophysicists of the Dark Energy Survey team has concluded that the Universe is expanding at an accelerating rate. The Dark Energy Survey observed almost two million distant galaxies using the Dark Energy Camera built and tested by Fermilab
      making this the largest, deepest supernova sample ever obtained from a single telescope.

      Astronomers use AI to shed light on dark energy

        The new Dark Energy Survey year five results used machine learning to obtain a new measurement that offers insights into the density of the mysterious force driving the Universe’s expansion. The results were presented recently at the 243rd meeting of the American Astronomical Society meeting. What does this all mean? Don Lincoln explains.

        Final supernova results from Dark Energy Survey offer unique insights into the expansion of the universe

        In the culmination of a decade’s worth of effort, the DES collaboration of scientists analyzed an unprecedented sample of more than 1,500 supernovae classified using machine learning. They placed the strongest constraints on the expansion of the universe ever obtained with the DES supernova survey. While consistent with the current standard cosmological model, the results do not rule out a more complex theory that the density of dark energy in the universe could have varied over time.