DES

The Dark Energy Camera, designed specifically for the Dark Energy Survey and built and tested at Fermilab, captured an image assembled from a total of 28 hours of observations. The image gives a tantalizing hint of how intracluster light will be revealed by the Rubin Observatory’s Legacy Survey of Space and Time.

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.

The Dark Energy Survey has measured the BAO scale when the universe was half its present age with an accuracy of 2%, the most accurate determination yet at such an early epoch. It is the first time an imaging-only measurement is competitive with large spectroscopy campaigns specifically designed to detect this signal.

The most recent results from Dark Energy Survey of over 1,500 supernovas taken by the by the DECam calls the standard model of cosmology into question.

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.

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.

Just because matter is visible doesn’t mean it’s easy to see.

From Physics, Jan. 31, 2023: Fermilab scientists are part of a group of researchers using cross-correlation measurements combining data from the Dark Energy Survey and the South Pole Telescope to determine cosmological parameters with greater precision. The analysis involved more than 150 researchers with results published as a set of three articles in Physical Review D.

Their analysis combines Dark Energy Survey, South Pole Telescope data to better understand the evolution of universe.

From CNET, November 13, 2022: View new photos of radiant galaxies released by NASA using the Dark Energy Camera, developed and tested by Fermilab, and the Hubble Space Telescope. These new images show galaxies scattered across the universe some 200 million light-years away.