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Neutron stars are like huge natural dark matter detectors and might hold a key to helping us understand elusive dark matter. By observing a cold neutron star, physicists from the ARC Centre of Excellence for Dark Matter Particle Physics, might have vital information about the interactions between dark and regular matter, shedding light on the nature of this elusive substance. Dr. Sandra Robles of Fermilab is part of the collaboration on this research.

Researchers have used the Dark Energy Spectroscopic Instrument to make the largest 3D map of our universe and world-leading measurements of dark energy, the mysterious cause of its accelerating expansion.

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 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.

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.

For over a century, scientists have wondered what is counteracting the force of gravity in the universe.

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