We are living in the age of information, and this sentiment also pertains to astronomy. Quite a few telescopes are trained to scan large sections of our sky, cataloging and imaging millions, even billions, of objects. Having this much information can do wonders for science, but it can also make things extremely difficult.
With so much data, it is often hard to match objects to one another across surveys. That’s why one group at Johns Hopkins University turned to data science to develop a new method of making such matches.
