Study: How Much Information Can Be Extracted from Galaxy Clustering at the Field Level? (DOI: 10.1103/PhysRevLett.133.221006)
Research led by the University of Michigan could help put cosmology on the inside track to reaching the full potential of telescopes and other instruments studying some of the universe's largest looming questions.
The project showcased how a new computational method gleans more information than its predecessors from maps showing how galaxies are clustered and threaded throughout the universe.
Scientists are currently using tools like DESI, the Dark Energy Spectroscopic Instrument, to generate these maps and dig deeper into the nature of dark energy, dark matter and other cosmic mysteries.
The dark side of cosmology
Even as DESI makes headlines now, scientists know they will need more advanced tools to find the answers they seek. Some are developing the next generation of instruments like DESI. Minh Nguyen and his colleagues, however, are focusing on optimizing our understanding of the data we're getting now-and in the future.
