Hubble Dark Matter reveals the missing component in theories


Dark Matter Matter accounts for about 85% of the universe. However, the dark matter is famously elusive and cannot be experienced directly. Instead, its presence is reduced by pulling its gravity on a visible object in space.

Related: Increasing the signal that could indicate new signals in the Dark Matter experiment

Now, observations of several huge galaxy clusters by NASA’s Hubble Space Telescope and the European Southern Observatory’s very large telescope (VLT) in Chile have revealed a missing mystery component to the current presiding dark matter principles. Astronomers have discovered that small concentrations of dark matter in clusters produce measurements of how gravity distorts space, also called gravitational lensing effects, which are 10 times stronger than previously thought.

“Galaxy clusters are ideal laboratories for understanding whether computer simulations of the universe reproduce what we know about dark matter and its interaction with bright matter,” said the National Institute of Obstetrics and Gynecology at the Observatory. Bologna, Italy, lead author of the study.

“We’ve done a lot of careful testing to compare similarities and data in this study, and our matching isn’t wrong,” Menegetti added. “One possible root for this discrepancy is that we may lose some key physics in simulations.”

“One of the characteristics of the real universe is that we are not simply capturing our current theoretical malolo. This may indicate a gap in our current understanding of dark matter and its properties, as these excellent data have allowed us to investigate in detail.” The distribution of dark matter on the scales, ”added Priyamwada Natarajan of Yale University in New Haven, Connecticut, one of the team’s senior theorists.

Hubble’s images, along with VLT’s Spectra, helped the team create an accurate, high-fidelity dark-matter map that identifies dozens of background galaxies. Even better, by calculating lensing distortions, researchers can detect the amount and distribution of dark matter. Of the team Paper Published in Journal Science.

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